Consumer Analysis of new video game store in London Ontario Research Paper

Consumer Analysis of new video game store in London Ontario - Research Paper Example ormation as age, income, and gender characteristics, while behavioral analysis provides some patterns of behavior common for the targeted audience (Acsbdc.org, n.d.). According to the Statistics published by the government of Canada, the population of London census metropolitan area, Ontario in 2011 was 474,790. The percentage of children aged between 0 to 14 comprised 16,6%, the working age population - 68,4%, and the percentage of the population aged 65 and over – 15,0% (Statistics Canada). Population by sex category is divided into male and female, whereas there are 229,950 males and 244,840 females. Below are presented visual illustrations of both age and sex distribution. Behavioral analysis of the customer is also knows as a psychographic profile which is applied for identifying and evaluating the factors influencing consumers’ choice. Thus, in a given case study, behavioral analysis should be used in order to analyze the reasons why customers make decision to buy products at Push Star versus the products sold in other locations (Acsbdc.org, n.d.). There were identified four major factors, including the following: price, store location and accessibility, assortment and availability of new games. Price is essential for users of video games. This factor is critical as with the development of Internet technology and accessibility of free online platforms make video games less competitive on the market. Convenience and accessibility of the store also will play an important role in the inflow of potential consumers. Assortment of the video games and other relevant products also will have impact on the consumers’ behavior. The greater the ra nge of video games is offered the greater customer’s loyalty will be. Availability of newly issued video games will also influence customer’s choice of the video game’s retailer. This group is the largest demographic for rental services. Customers of this age are more focused on rentals from the traditional rental

Atlantic Slave Trade and Christianity Essay Example | Topics and Well Written Essays - 3750 words

Atlantic Slave Trade and Christianity - Essay Example 213). After its abolition by the start of the 19th century, slavery materialized in the South as product of the trans-Atlantic trade. Christianity by then was already present because of the European settlers and colonizers in the New World. Issues have been raised pertaining to the legality of slavery in the laws of God compared to the laws of man and the society. From these things, a question emerges: "What is the legacy the Atlantic slave trade brought to the white and black Christians" In order to address this question, this paper gives a background of the Atlantic slave trade including the main places who participated in the triangular trade. It also mentions the role of Christianity in assessing slave-ownership and slave trade in America. Nathan Nunn (2005) reports the total slave exports from Africa in the year 1410 up to 1913 as shown in Figure 1. The Trans-Atlantic slave trade has the highest African slave exports with a total of 12.7 million slaves. It is followed by the Trans-Saharan trade with approximately 3 million exports. The Red Sea and Indian Ocean trades have 1.3 million and 1.1 million respectively. He also showed the top African countries that have the highest slave exports in the same duration. Nigeria, Zaire and Angola are the three highest slave exporting countries with a total of almost 2 million exported slaves each (12 percent). (Nunn 2005) Figure 1 The Triangular Trade An important feature surrounding the trans-Atlantic trade is the triangular trade. In 1450 until the latter part of the 19th century, the African slaves were acquired by the European countries like Portugal from West Africa. The kings and merchants in Africa fully supported the routine because they got different varieties of trade goods like beads, cowrie shells, textiles, brandy, horses and guns. This process describes the first side of the triangular trade. From West Africa, the acquired African slaves were transported to the New World. This represents the middle or the second side of the triangular trade. This part of the trade was the worst for the African slaves because they suffered malnutrition and new diseases en-route to the New World. After reaching the New World, the slaves worked on different plantations. The final products: cotton, sugar, tobacco, molasses, and rum were shipped to Europe. This scheme is the final side of the triangular trade.1 B. Main Actors Portugal In the year 1502, there were reports of the existence of African slaves in the New World or now the Unites States of America. Portugal was regarded in that time as the country that held a monopoly of African slaves for almost 200 years starting from 1440 up to 1640. The Portuguese played a major role in exporting the slaves from Africa during the span of time. For almost four and a half centuries, Portugal had exported an approximate number of 4.5 million African slaves accounting to 40 percent of the overall number.2 Britain Britain also participated in the trans-Atlantic slave trade although later it instituted the banning of slave trade. In the early decades of the 18th century Britain was a key trader who transported 2.5 million out the 6 million

Theories and Practice in Child Development

Theories and Practice in Child Development After reading the document produced by Tom Burkard and Tom Clelford, Cutting the Childrens Plan which gives an insight of why the Early Years Foundation Stage (EYFS) should be scrapped. It states that the Statutory Framework EYFS which was launched in 2007 should be scrapped to save  £315 million. However the authors do not state which areas of the EYFS they want scrapped, which causes concern. The EYFS is a large framework for practice and assessment and is the umbrella under which all the children aged 0 5 years who receive care and education. It has been a great impact within the early years establishments as well as having influences of various theorists to support the childrens learning and development. Before thinking of scrapping the EYFS altogether the authors should consider looking through the framework and see what the positives and negatives are as some aspects of the EYFS dont work for some whereas other aspects are of great use. As it mentions in Pugh.G et al (2010:1 00) There are also those who think it goes too far and is too perspective. (Open Eye, 2007:2008). Within the document it is mentioned that the EYFS is an intrusive attempt to micro-manage all 0 5 childcare establishments as well as dictating best practice including parents. Within the EYFS it does not specify that the parents should do as they are told neither does it specify how practitioners should work with the children. Therefore Pugh.G et al (2010:105), states that It requires the practitioner to differentiate to understand each child as an individual and personalize the curriculum content to match their needs and interests. However practitioners should have an in depth knowledge of their key children, so that they can use the EYFS Framework to support and help plan opportunities and activities. These will then enhance childrens learning and encourage the individual childrens development in a way that will interest them. The EPPE Project (Sylva et al, 2004: Chapter 4) identified the importance of a form of interaction between children and adults, that they call sustained shared thinking in promoting childrens learning and development which is now as part of the EYFS. On the other hand working in partnership with parents is essential as it helps all children to achieve their full potential. As stated in The Times (2008), The EYFS is about responding to the individuality of each child, in the context of loving and secure relationships and creating a stimulating and enabling environment that will promote age appropriate experiences for learning and development. Furthermore, Nurse A.D (2007:73) states that Children can be said to prefer to learn through the enactive mode as their ability to represent images and use symbols is less well developed. In this Bruner agreed with Piaget that active, first hand experiences are an appropriate way to present new knowledge to young children. The document also questions whether the EYFS encourages good practice. According to Pugh.G et al (2010:105) we need to focus the curriculum on what is important for the children, the things that they need to be doing at this stage of their development. By looking at the research and practice the most important things are Being Social, Being Positive, Being a Communicator, Being Creative and Being Healthy and Safe (ECM:2003). By introducing reading and writing at an early stage it could be argued that it can lead to complications later on and also delaying phonic work, therefore the EYFS recommends that practitioners use their professional judgement with introducing phonics. On the other hand the authors are claiming that children who come from a less stimulating disadvantaged environment waste an entire year falling further behind their middle class peers in learning (e.g reading), whose parents generally know better than to delay reading instruction. This is not entirely true, Gaunt e (2010) clarifies that Parents with the support of the wider family, are childrens primary educators. What parents do at home with young children has the most impact on all aspects of their development social, emotional, intellectual and physical. Nevertheless it could be alleged that children who have strong home learning environments are ahead socially and intellectually by the age of three, which is continued into schooling. Bronfenbrenners ecological model of human development emphasises the role of the wider environment and the childrens interaction within it. Bronfenbrenner and Caci (1994) proposed that the environment was the main influence on childrens development. Bronfenbrenner produced systems which included the following Microsystems, Macrosystems and Exosystems. The following diagram illustrated below shows how these systems are interacted and impact on the childs learning and development. (Smith et al: 2003). Bronfenbrenner also led the Head Start programme in America which required helping disadvantaged children overcome their poor beginnings. The EYFS recognises the importance of the wider environment both in working in partnership with parents and the ethos of the EYFS, providing equality of care and education for all. Research has shown that good quality early education and care has wide ranging benefits for all children. Being provided across nurseries, reception classes, pre schools, childrens centres and childminders, it enhances social and cognitive skills and is of particular benefit to disadvantaged children (N.A: 2010). However other curriculums have also the quality input that the EYFS has, for example the High Scope Curriculum, Montessori etc. It could be argued that children who have an intellectually and physically stimulating environment will maintain a more complex network of synapses in the brain (Bee: 1997). These biological changes in nature can have implications for practice, the EYFS however has a variety of suitable activities planned for those at different ages and stages of development. This is a prime example of how nurture can influence nature. Additionally Bowlbys (1907 1990) research found that babies/children succeed if they receive care from one main caregiver which is usually the mother. They are also more likely to make secure attachments and then initially grow up into being well balanced adults. (OHagan et al: 1993). Therefore modern researchers have disputed the fact that only the mothers can perform this task (Smith et al: 1993), regardless the debate of working mothers, it still remains that the childrens emotional and cognitive development are best when there is that continuity of care available. When in care children under the age of 5 should each be allocated key workers so that children can form key attachments with this person, this is where secondary attachments are formed. The key person is a key to developing relationships with the children that are assigned to them as swell as sharing and collecting information by working in partnership with parents of the key children allocated. The EYFS reflects this by stating that Each child with early years care and education should be allocated a key person (EYFS: 2007). By having a key person allocated to the children it enables them to develop an attachment with the practitioner on a secure basis knowing that they can rely on the key person. Lastly the authors stipulate that despite the ambitions of the EYFS, childminders have not been able to see the practical effect of this. It could be argued that there is too much paperwork involved for them within the EYFS. However there is evidence that most childminders have developed knowledge and understanding of how to put the EYFS into practice and use it to identify, plan and provide foe individual childrens needs in their care. On the other hand many childminders have given up their jobs due to this and others who are thinking of this. On one forum a childminder writes her views on the EYFS Curriculum and how she feels about it which can be accessed on The childminder states: I, like many other childminders, gave up an enormous amount of personal time just to prepare for my Ofsted. I spent weeks compiling my Portfolio, cataloguing my Toys, books, games, puzzles and equipment; compiling cleaning rotas, putting together endless policies, parent information booklets, files for training, files for resource collections, working out a system for recording each childs development, the list goes on and on. I still cared about and loved the children, I still provided the caring environment, and I still try to help each of my little ones to blossom and flourish, to feel loved and cared for, to be aware of the needs and feelings of others and to know that each one is recognised as being unique and valuable. Yes it should be obligatory for childminders to attend relevant courses and keep up to date with current thinking and procedures, in order that they can prepare to do the job effectively, but the burden of delivering EYFS in a childminding setting is too much for many childminders, and this needs to be reviewed. Mrs R Richardson, Registered Childminder Therefore it could be argued that the EYFS should not be scrapped but reviewed again. Purnima Tanuku, chief executive of the National Day Nurseries Association argues that We are receiving clear signals about the positives of the EYFS and recommend that the Government focuses on refining and improving the EYFS rather than introducing radical change.

Chinua Achebes Things Fall Apart †Finding Unoka in the Mirror :: Things Fall Apart Essays

Things Fall Apart – Finding Unoka in the Mirror I wish I could say that the character Okonkwo, in the novel Things Fall Apart by Chinua Achebe, is very similar to myself, but I would be lying. Okonkwo is filled with many admirable traits: drive, ambition, goals, and his ability to overcome through his constant productivity. Okonkwo had the determination to become a great man, and even with the odds against him, he succeeded. â€Å"With a father like Unoka, Okonkwo did not have the start in life which many young men had. He neither inherited a barn nor a title, or even a young wife. But in spite of these disadvantages, he had begun even in his father’s lifetime to lay the foundations of a prosperous future† (18). Most of his accomplishments were despite his father, whom Okonkwo loathed, but with whom I connected. In the novel, I relate more to Okonkwo’s father, Unoka, a much more laid back character. Like Unoka, I am in love with life, lazy, not worried about tomorrow, and deeply in debt. Unoka had a great appreciation for the moment. For instance, â€Å"he loved this season of the year, when the rains had stopped and the sun rose every morning with dazzling beauty. And it was not too hot either†¦Ã¢â‚¬  (5). Such a description makes me want to lay down drowsy in the grass and enjoy the beauty of the day, for as Unoka â€Å"loved it all† (5), I too love it all (5)! What I would give for another summer day to simply nap, sprawled on my stomach in the grass of my back yard, feeling the warmth of the sun and security of a newborn napping in its mother’s arms. How deeply do I love these moments of drowsiness and warmth nature supplies her children. I imagine Unoka had similar experiences through playing the flute. â€Å"He was very good on his flute, and his happiest moments were the two or three moons after the harvest when the village musicians brought down their instruments, hung above the fireplace. Unoka would play with them, his face beaming wit h blessedness and peace† (4). Unoka and I enjoy the simple things life has to offer. Perhaps this appreciation is rooted in our struggle against society, one which demands the focus of our lives to lie beyond the setting sun. However, there must come a day when you ask yourself, will I even be alive tomorrow?

Summary by Uma Sekaran

CHAPTER I WHAT IS RESEARCH Research: is simply the process of finding solutions to a problem after a thorough study and analysis of the situational factors. Business research: systematic and organized effort to investigate a specific problem encountered in the work setting, that needs a solution. It comprises a series of steps designed and executed, with the goal of finding answers to the issues that are of concern to the manager in the work environment.Business research: organized, systematic, data-based critical, objective, scientific inquiry or investigation into a specific problem, undertaken with the purpose of finding answers or solutions to it. Yeah, ga usah bingung sama yang namanya mahluk bernama PENELITIAN. Intinya: penelitian itu kan nyelidikin suatu masalah buat nemuin solusinya. Prosesnya ga jauh beda sama usaha kita nyari kebenaran suatu gossip atau cari info tentang orang yang kita gebet. Bedanya: RISET BISNIS ini harus dikerjain secara sistematis, datanya jelas, dan a da dalil-dalil keilmuan yang sudah diakui dan terbukti keabsahannya.Santai†¦ semua orang pasti bisa menaklukan binatang yang bernama PENELITIAN ini; khususnya SKRIPSI (buat mahasiswa S1). Chayo! Pasti bisa! TYPE OF BUSINESS RESEARCH Two different purposes of research: †¢ to solve a current problem faced by the manager in the work setting, demanding a timely solution; (applied research). †¢ to generate a body of knowledge by trying to comprehend how certain problems that occur in organizations can be solved; (basic research). Applied research: research done with the intention of applying the results of the findings to solve specific problems currently being experienced in the organization.Basic/fundamental/pure research: research done chiefly to enhance the understanding of certain problems that commonly occur in organizational settings, and seek methods of solving them. CHAPTER II THE HALLMARKS OF SCIENTIFIC RESEARCH The main distinguishing characteristics of scientif ic research: 1. Purposiveness: started the research with a definite aim or purpose, purposive focus 2. Rigor: carefulness, scrupulousness, the degree of exactitude in research investigations. Good theoretical base and a sound methodological design 3.Testability: researcher develops certain hypotheses, then these can be tested by applying certain statistical tests to the data collected for the purpose 4. Replicability: the results of the tests of hypotheses should be supported again and yet again when the same type of research is repeated in other similar circumtances 5. Precision and confidence: †¢ Precision: the closeness of the findings to â€Å"reality† based on a sample. Reflects the degree of accuracy or axactitude of the results on the basis of the sample – to what really exist in the universe †¢ Confidence: the probability that our estimations are correct 6.Objectivity: the conclusions drawn through the interpretation of the results of data analysis ba sed on the facts of the findings derived from actual data and not on our own subjective or emotional values 7. Generalizability: the scope of applicability of the research findings in one organizational setting to other settings. The research sampling design has to be logically developed and a number of other details in the data-collection methods need to be meticulously followed 8. Parsimony: simplicity in explaining the phenomena or problemsthat occur, and in generating solutions for the problems.Introduced with a good understanding of the problem and the important factors that influences it; good conceptual theoretical model The reason for following a scientific method is that the results will be less prone to errors and more confidence can be placed in the findings because of the greater rigor in application of the design details. This also increases the replicability and generalizability of the findings. Makanya, ikutin deh aturan scientific method. Ibaratnya, meneliti juga ada rukunnya; sama kayak sholat. Kalo kita sholat rukunnya berantakan, ga tertib urutan – ga teratur, kan sholatnya jadi ga karuan tu†¦.Ga jelas juntrungannya. Bisa-bisa ga ada artinya or ga ada nilainya. Prinsip â€Å"harus bertindak sesuai rukun† juga berlaku dalam melakukan penelitian. BUILDING BLOCKS OF SCIENCE IN RESEARCH Deduction: the process by which we arrive at a reasoned conclusion by logical generalization of a known fact. Induction: a process where we observe certain phenomena and on this basis arrive at conclusions. HYPOTHETICO-DEDUCTIVE METHOD 7 steps in the hypothetico-deductive method: 1. Observation 2. Preliminary information gathering 3. Theory formulation 4. Hypothesizing 5.Further scientific data collection 6. Data analysis 7. Deduction CHAPTER IV RESEARCH PROCESS Research process for basic and applied research: 1. Observation: broad area of research interest identified 2. Preliminary data gathering: interviewing, literature survey 3. Problem def inition: research problem delineated 4. Theoretical framework: variables clearly identified and labeled 5. Generation of hypotheses: 6. Scientific research design: 7. Data collection, analysis, and interpretation: 8. Deduction: hypotheses substantiated? Research question answered?Kalau pada tahap ini hipotesis dan pertanyaan permasalahan belum terjawab, maka kita harus kembali ke proses 2, 3, 4, 5, 6, atau pun 7. Yang sabar ya say†¦( Kalau sudah terjawab, ya lanjut ke tahap selanjutnya; 9. Report writing: 10. Report presentation: 11. Managerial decision making: Yeah, tahap pertama pasti observasi dulu. Gue inget banget, waktu pertama-tama dulu gue bilang mau ngangkat Kampung Betawi buat objek penelitian. Aswin bilang â€Å"gini deh! Kamu observasi dulu tu Kampung Betawi selama seminggu penuh berturut-turut. Kalo perlu, lo ga pulang-pulang, diem aja lo disana.Liatin orang-orang yang dateng, ada apa aja disana, ngapain aja, mereka dateng dari mana, pokoknya perhatiin apa aja yan g terjadi di sana! †. Ga berenti sampe disitu! Gue disuruh wawancara si empunya yang berkuasa di Kampung Betawi itu. Tanya tentang Kampung Betawi, secara implisit tanyain juga masalah apa yang dihadapi sama Kampung Betawi, gali sebanyak-banyaknya informasi; untuk memahami objek penelitian lo. Dan yang ga kalah penting: tanyain mereka punya data-data sesuai kebutuhan lo ga; mereka bisa kasih data itu ke lo ga. Ini penting!Kalo mereka ga bisa kasih data sesuai kebutuhan lo, batalkan niat lo buat ngangkat tu objek. Gue saranin (sangat) lo ganti objek aja. Daripada tar lo repot belakangan, mending antisipasi dari awal khan! Oh, iya: ga ketinggalan, gue juga disuruh cari teori dan penelitian terdahulu yang relevan. Untuk memudahkan gue di masa mendatang. Kalo lo udah observasi dan preliminary data gathering, baru deh lo bisa menemukan masalah utama yang akan lo angkat, secara spesifik, apa†¦ permasalahan yang paling menarik, paling kritis, paling menggelitik, paling sensasiona l, yang paling membuat lo bertanya-tanya geregetan and penasaran!Silakan berkhayal†¦ Abis itu, dengan teori-teori yang lo temukan, lo bikin model deh†¦ Despite the fact that the research model is depicted and discussed in this book as if it were a step-by-step linear process, one has to bear in mind that it is not actually so in practice. For example, though the literature search and interviews might have been conducted before formulating the theoretical framework, one may have to go back and conduct more interviews and/or seek additional information from the literature for a clearer understanding, so as to refine the theory. Gue setuju banget sama pernyataan ini!Soalnya gue juga ngerasain harus balik lagi, balik lagi, balik lagi, sampe gue bener-bener ngedapetin apa yang gue mau. Interview, nemu teori, interview, nemu teori, cari ketersediaan data, AARGGHH!!!! Mo gila! Mungkin ini yang dimaksud aswin â€Å"kalo nanti ternyata penemuan kamu ga cocok, ya kita rombak lagiâ € . Sadis! Sialan. Tapi kita tetap harus sabar†¦ SEMANGAAAAATTT!!!!! Gue jadi inget pertanyaan Hermas: â€Å"kapan kita tau kalo penelitian kita udah bener-bener: BENER †. Dan aswin menjawab dengan sok romantis: â€Å"itu semua tergantung kecintaan kalian terhadap ilmu pengetahuan(†.Makanya, bikin penelitian tentang sesuatu yang benar-benar lo sukai, lo cintai. Jadi di tengah-tengah kegilaan dan kebingungan, masih ada alasan waras kenapa lo masih mau ngelanjutin tu penelitian: â€Å"karna gue suka banget! (selain karna alasan harus ngerjain skripsi supaya bisa lulus dari FE)†. Percaya deh, mengerjakan sesuatu yang lo suka bakal bikin HIDUP lebih HIDUP. OBSERVATION 1. Problems currently existing in an organizational setting that need to be solved 2. Areas that a manager believes need to be improved in the organization 3.A conceptual or theoretical issue that needs to be tightened up for the basic researcher to understand certain phenomena 4. Some research questions that a basic researcher wants to answer empirically PRELIMINARY DATA COLLECTION 1. Background information of the organization –that is, the contextual factors †¢ The origin and history of the company –when it came into being, business it is in, rate of growth, ownership and control, and so on †¢ Size in terms of employees, assets, or both †¢ Charter –purposes and ideology †¢ Location –regional, national, or other †¢ Resources –human and others Interdependent relationships with other institutions and the external environment †¢ Financial position during the previous 5 to 10 years, and relevant financial data 2. Managerial philosophy, company policies, and other structural aspects †¢ Roles and positions in the organization and number of employees at each job level †¢ Extent of specialization †¢ Communication channels †¢ Control systems †¢ Coordination and span of control †¢ Reward systems †¢ Workflow systems and the like 3. Perceptions, attitudes, and behavioral responses of organizational members and client systems (as applicable) †¢ Nature of the work Workflow interdependencies †¢ Superiors in the organization †¢ Participation in decision making †¢ Client systems †¢ Co-workers †¢ Rewards provided by the organization, such as pay raises and fringe benefits †¢ Opportunities for advancement in the organization †¢ Organization’s attitudes toward employees family responsibilities †¢ Company’s involvement with community, civic, and other social groups †¢ Company’s tolerance of employees taking time off from the job LITERATURE SURVEY Good literature survey ensure that: 1. Important variables that are likely to influence the problem situation are not left out of the study 2.A clearer idea emerges as to what variables would be most important to consider (parsimony), why they would be consid ered important, and how they should be investigated to solve the problem. Thus, the literature survey helps the development of the theoretical framework and hypotheses for testing 3. The problem statement can be made with precision and clarity 4. Testability and replicability of the findings of the current research are enhanced 5. One does not run the risk of â€Å"reinventing the wheel† that is, wasting efforts on trying to rediscover something that is already known 6.The problem investigated is perceived by the scientific community as relevant and significant PROBLEM DEFINITION †¢ Narrow down the problem from its original broad base and define the issues of concern more clearly. †¢ It is critical that the focus of further research, or in other words, the problem, be unambiguously identified and defined. †¢ No amount of good research can find solutions to the situation, if the critical issue or the problem to be studied is not clearly pinpointed. †¢ A pro blem does not necessarily mean that something is seriously wrong with a current situation that needs to be rectified immediately. A â€Å"problem† could simply indicate an interest in an issue where finding the right answers might help to improve an existing situation. †¢ It is fruitful to define a problem as any situation where a gap exists between the actual and the desired ideal states. †¢ â€Å"Is this factor I have identified an antecendent, the real problem, or the consequence? † Problem definition or problem statement: a clear, precise, and succinct statement of the question or issue that is to be investigated with the goal of finding an answer or solution. Could pertain to: 1. Existing business problems where a manager is looking for a solution (applied research) 2.Situations that may not pose any current problems but which the manager feels have scope for improvement (applied research) 3. Areas where some conceptual clarity is needed for better theor y building (basic research) 4. Situations in which a researcher is trying to answer a research question empirically because of interest in the topic (basic research) CHAPTER V NEED FOR THEORETICAL FRAMEWORK Theoretical framework: a conceptual model of how one theorizes or makes logical sense of the relationships among the several factors that have been identified as important to the problem. This theory flows logically from documentation of previous research in the problem area. ? Integrating one’s logical beliefs with published research, taking into consideration the boundaries and constraints governing the situation, is pivotal in developing a scientific basis for investigating the research problem. ? Theoretical framework: discusses the interrelationships among the variables that are deemed to be integral to the dynamics of the situation being investigated. From the theoretical framework, then, testable hypotheses can be developed to examine whether the theory formulated i s valid or not. ? The entire research rests on the basis of the theoretical framework. VARIABLES Variable: anything that can take on differing or varying values. 4 main types of variables: 1. Dependent variable (also known as the criterion variable) 2. Independent variable (also known as predictor variable) 3. Moderating variable 4. Intervening variable Dependent variable: †¢ Variable of primary interest to the researcher The researcher’s goal is to understand and describe the dependent variable, or to explain its variability, or predict it †¢ The main variable that lends itself for investigation as a viable factor †¢ It is possible to have more than one dependent variable in a study Pantesan! Mungkin ini yang dimaksud aswin dengan pertanyaan yang selalu dia tujukan ke gue: â€Å"WHAT DO YOU WANT†¦.. tujuan lo apa sih Lo mau apa ha †. Nah, kalo kayak gini gue jadi bingung lagi nih. Jadi dependent variable gue jumlah pengunjung atraksi wisata budaya PBB atau keinginan mengunjungi atraksi wisata budaya PBB Duh jadi bingung mikir lagi deh†¦.Wahai teman, makanya selalu tanyakan dan pastikan â€Å"tujuan akhir apa yang lo mau †. Itulah dependent variable lo†¦ (hmm,,, sepertinya ini ga cuma berlaku buat penelitian deh, tapi dalam kehidupan nyata lo juga! what do you want!!! ) Independent variable: †¢ One that influences the dependent variable in either a positive or negative way †¢ When the independent variable is present, the dependent variable is also present †¢ With each unit of increase in the independent variable, there is an increase or decrease in the dependent variable also †¢ Variance in the dependent variable is accounted for by the independent variableModerating variable: †¢ One that has a strong contingent effect on the independent variable-dependent variable relationship †¢ Whenever the relationship between the independent variable and dependent variable becomes contingent or dependent on another variable, we say that the third variable has a moderating effect on the independent variable-dependent variable relationship †¢ The variable that moderates the relationship is known as the moderating variable Intervening variable One that surfaces between the time the independent variables start operating to influence the dependent variable and the time their impact is felt on it †¢ There is thus a temporal quality or time dimension to the intervening variable †¢ The intervening variable surfaces as a function of the independent variable(s) operating in any situation, and helps to conceptualize and explain the influence of the independent variable(s) on the dependent variable THEORETICAL FRAMEWORK ? It becomes evident at this stage that to arrive at good solutions to the roblem, one should correctly identify the problem first, and then the variables that contribute to it. ? After identifying the appropriate variables, the next step is to elabor ate the network of associations among the variables, so that relevant hypotheses can be developed and subsequently tested. ? Based on the results of hypotheses testing (which would indicate whether or not the hypotheses have been supported), the extent to which the problem can be solved would become evident.Theoretical framework: elaborates the relationships among the variables, explains the theory underlying these relations, and describes the nature and direction of the relationships. A good theoretical framework identifies and labels the important variables in the situation that are relevant to the problem identified. Berarti gue bener dong†¦gue ga ngikutin teori dan penelitian lainnya secara plek-plekan sama! Gue pake mereka dengan menyesuaikan diri dengan kondisi kasus gue, si PBB. 5 basic features that should be incorporated in any theoretical framework: 1.The variables considered relevant to the study should be clearly identified and labeled in the discussions. 2. The dis cussions should state how two or more variables are related to one another. This should be done for the important relationships that are theorized to exist among the variables. 3. If the nature and direction of the relationships can be theorized on the basis of findings of previous research, then there should be an indication in the discussions as to whether the relationships would be positive or negative. 4. There should be a clear explanation of why we would expect these relationships to exist.This arguments could be drawn from the previous research findings. 5. A schematic diagram of the theoretical framework should be given so that the reader can see and easily comprehend the theorized relationship. HYPOTHESES DEVELOPMENT Hypotheses development: formulating such testable statement Hypotheses: a logically conjectured relationship between two or more variables expressed in the form of a testable statement ? To call a relationship â€Å"statistically significant†, we should be confident that 95 times out of 100 the observed relationship will hold true ? Only a 5% chance that the relationship would not be detectedStatement of hypotheses: format †¢ If-then statement †¢ Directional ? The direction of the relationship between the variables (positive/negative) is indicated ? The nature of the difference between two groups on a variable (more than/less than) is postulated †¢ Nondirectional ? Do postulate a relationship or difference, but offer no indication of the direction of these relationships or differences ? It may be conjectured that there would be a significant relationship between two variables, we may not be able to say whether the relationship would be positive or negative ?Formulated either because the relationships or differences have never been previously explored & no basis for indicating the direction, or because there have been conflicting findings in previous research studies on the variables Null and alternate hypotheses â₠¬ ¢ Null hypothesis: a proposition that states a definitive, exact relationship between two variables ? States that the population correlation between two variables is equal to zero or that the difference in the means of two groups in the population is equal to zero (or some definite number) ?Expressed as no (significant) relationship between two variables or no (significant) difference between two groups †¢ Alternate hypotheses: the opposite of the null ? Statement expressing a relationship between two variables or indicating differences between groups †¢ If we reject the null hypothesis, then all permissible alternative hypotheses relating to the particular relationship tested could be supported Example: †¢ Directional (group differences) ? Null hypothesis: H0 :  µM =  µW H0 :  µM –  µW = 0 ? Alternate hypothesis: HA :  µM <  µW HA :  µM >  µW †¢ Nondirectional (group differences) ? Null hypothesis: H0 :  µAM =  µAS H0 :  µAM â€⠀œ  µAS = 0 Alternate hypothesis: H0 :  µAM ?  µAS †¢ Directional (relationship between 2 variables) ? Null hypothesis: H0 : there is no relationship between stress experienced on the job and the job satisfaction of employees H0 : ? = 0 ? Alternate hypothesis: HA : ? < 0 †¢ Nondirectional (relationship between 2 variables) ? Null hypothesis: H0 : ? = 0 ? Alternate hypothesis: HA : ? ? 0 Steps in hypotheses testing: 1. State the null and the alternate hypotheses 2. Choose the appropriate statistical test depending on whether the data collected are parametric or nonparametric 3. Determine the level of significance desired (p=0. 5, or more, or less) 4. See if the output results from computer analysis indicate that the significance level is met. If, as in the case of Pearson correlation analysis in Excel software, the significance level is not indicated in the printout, look up the critical values that defined the regions of acceptance on the appropriate table [(t, F, X2 ) –see tables at the end of the book]. This critical value demarcates the region of rejection from that of acceptance of the null hypotheses. 5. When the resultant value is larger than critical value, the null hypotheses is rejected, and the alternate accepted.If the calculated value is less than the critical value, the null is accepted and the alternate rejected. Hypotheses generation and testing can be done both through deduction and induction: †¢ Deduction: the theoretical model is first developed, testable hypotheses are then formulated, data collected, and then the hypotheses are tested. †¢ Induction: new hypotheses are formulated based on what is known from the data already collected, which are then tested. CHAPTER VI RESEARCH DESIGN †¢ Purpose of the study †¢ Types of investigation †¢ Extent of researcher interference †¢ Study setting Unit of analysis (population to be studied) †¢ Time horizon PURPOSE OF THE STUDY Exploratory study: à ¢â‚¬ ¢ When not much is known about the situation at hand, or no information is available on how similar problems or research issues have been solved in the past †¢ To better comprehend the nature of the problem since very few studies might have been conducted in that area †¢ When some facts are known, but more information is needed for developing a viable theoretical framework †¢ For obtaining a good graps of the phenomena of interest and advancing knowledge through subsequent theory building and hypotheses testingDescriptive study: †¢ To ascertain and be able to describe the characteristics of the variables of interest in a situation †¢ The goal: to offer to the researcher a profile or to describe relevant aspects of the phenomena of interest from an individual, organization, industry-oriented, or other perspective †¢ Present data in meaningful form, help to: ? Understand the characteristics of a group in a given situation ? Think systematically about aspects in a given situation ? Offer ideas for further probe and research ? Help make certain simple decisions Hypotheses testing: Explain the nature of certain relationships, or establish the differences among groups or the independence of two or more factors in a situation †¢ To explain the variance in the dependent variable or to predict organizational outcome Case study analysis: †¢ Involve in-depth, contextual analyses of matters relating to similar situations in other organizations †¢ Problem-solving technique †¢ Qualitative in nature, useful in applying solutions to current problems based on past problem-solving experiences †¢ Useful in understanding certain phenomena, and generating further theories for empirical testingTYPE OF INVESTIGATION Causal study: the study in which the researcher wants to delineate the cause of one or more problems Correlational study: when the researcher is interested in delineating the important variables associated with the problem STUDY SETTING Field studies: correlational studies done in organizations Field experiments: studies conducted to establish cause-and-effect relationship using the same natural environment in which employees normally fuctionLab experiments: experiments done to establish cause and effect relationship beyond the possibility of the least doubt require the creation of an artificial, contrived environment in which all the extraneous factors are strictly controlled. Similar subjects are choosen carefully to respond to certain manipulated stimuli UNIT OF ANALYSIS Unit of analysis: level of aggregation of the data collected during the subsequent data analysis stage. Depend on problem statement focuses. Individual: data gathered from each individual and treating each employee’s response as an individual data sourceDyads: interested in studying two-persons interactions, then several two-persons groups Groups: even though we may gather relevant data from all individuals compr ising, we would aggregate the individual data into group data so as to see the differences among some groups (missal jadi 6 group) Our research question determines the unit of analysis. TIME HORIZON Cross-sectional/one-shot studies: data are gathered just once, perhaps over a period of days or weeks or moths, in order to answer a research questionLongitudinal studies: data on the dependent variable are gathered at two or more points in time to answer the research question CHAPTER VIII OPERATIONAL DEFINITION Operationalizing the concepts: reduction of abstract concept to render them measurable in a tangible way Operationalizing: defining a concept to render it measurable, is done by looking at the behavioral dimensions, facets, or properties denoted by the concept Operationalizing the concept: ? They would probably have some typical broad characteristics, which we call dimensions. ? Examining each of the dimension and breaking each further into its elements ?These should somehow be o bservable and quantitatively measurable What an operational definition is not: †¢ Does not describe the correlates of the concept †¢ Does not consist of delineating the reasons, antecedents, consequences, or correlates of the concept If we either operationalize the concepts incorrectly or confuse them with other concepts, then we will not have valid measures. This means that we will not have â€Å"good† data, and our research will not be scientific. Yeah†¦kalo kita salah mengoperasionalisasikan suatu variabel, fatal akibatnya.Bisa-bisa kita salah bikin pertanyaan buat diukur nilainya. Jelek deh datanya. (kayaknya gue baru sadar deh kalo gue salah operasionalisasi. Hix. ) Tips agar tidak salah operasionalisasi variabel: ? Bikin landasan teori yang bagus! semua berawal dari landasan teori! ? Selalu temukan definisi yang tepat dari sebuah konsep ataupun variabel. DEFINISI itu kunci yang penting! Kalo kata Lovelock -si professor pemasaran jasa yang kita selalu puny a kunci cinta- : If you can’t define something, you can’t measure it, and what you can’t measure you can’t manage. Punya definisi yang tepat, pasti akan menuntun lo kepada operasionalisasi variabel yang tepat. Ini teori gue, hehe ((((( (berdasarkan pengalaman pribadi). Pantesan, aswin selalu bertanya pada gue: â€Å"ini definisinya apa?! Itu definisinya apa?! †. Hmmmm†¦. pantes†¦aku baru mengerti sekarang†¦. SCALES Scale: a tool or mechanism by which individuals are distinguished as to how they differ from one another on the variables of interest to our study 4 basic types of scales: nominal, ordinal, interval, and ratio Nominal scale: One that allows researcher to assign subjects to certain categories or groups ?Assigned code number ? These number serve as simple and convenient category labels with no intrinsic value, other than to assign respondents to one of two nonoverlapping or mutually exclusive categories ? Note that the categ ories are also collectively exhaustive ? The information is to calculate the percentage (or frequency) Ordinal scale: not only categorizes the variables in such a way as to denote differences among the various categories, it also rank-orders the categories in some meaningful way ?Helps the researcher to determine the percentage of respondents who consider interaction with others as most important, those who consider using a number of different skills as most important, and so on Interval scale: let us measure the distance between any two points on the scale ? Helps us to compute the means and the standard deviations of the responses on the variables ? Not only groups individuals according to certain categories and taps the order of these groups, it also measures the magnitude of the differences in the preferences among individuals ? The origin, or the starting point, could be any arbitrary number ?More powerful scale than the nominal and ordinal scale, and has for its measure of cen tral tendency the arithmetic mean ? It measures of dispersion are the range, the standard deviation, and the variance Ratio scale: not only measures the magnitude of the differences between points on the scale but also taps the proportions in the differences ? It has an absolute (in contrast to an arbitrary) zero point, which is a meaningful measurement point ? The most powerful of the 4 scales because it has a unique zero origin (not an arbitrary origin) and subsumes all the properties of the other three scalesUse of 4 types of scales: †¢ Nominal scale: for obtaining personal data such as gender or department †¢ Ordinal scale: to rank the preferences or usage of various brands of a product by individuals and to rank order individuals, objects, or events †¢ Interval scale: when responses to various items that measure a variable can be tapped on a five-point (or seven-point or any other number of points) scale, which can thereafter be summated across the items †¢ Ratio scale: when exact numbers on objective (as opposed to subjective) factor are called for CHAPTER IXGOODNESS OF MEASURES Goodness of measures: reasonably sure that the instruments we use in our research do indeed measure the variables they are supposed to, and that they measure them accurately Item analysis: to see if the items in the instrument belong there or not. ? The means between the high-score group and the low-score group are tested to detect significant difference through the t-values ? The items with a high t-value (test which is able to identify the highly discriminating items in the instrument) are then included in the instrumentRELIABILITY Reliability: tests how consistently a measuring instrument measures whatever concept it is measuring †¢ Measure stability and consistency Reliability: †¢ Stability of measures: the ability of a measure to remain the same over time – despite uncontrollable testing conditions or the state of the respondents themselv es ? Test-retest reliability: the reliability coefficient obtained with a repetition of the same measure on a second occasion, the higher the better ?Parallel-form reliability: when responses on two comparable sets of measures tapping the same construct are highly correlated †¢ Internal consistency of measures: the items should â€Å"hang together as a set† and be capable of independently measuring the same concept so that the respondents attach the same overall meaning to each of the items ? Interitem consistency reliability: test of the consistency of respondents answer to all the items in a measure. To the degree that the items are independent measures of the same concept, they will be correlated with one another.Cronbach’s coefficient alpha used for multipoint-scaled items, Kuder-Richardson formulas used for dichotomous items. The higher the coefficients, the better the measuring instrument ? Split-half reliability: reflects the correlations between two halves of an instrument VALIDITY Validity: tests how well an instrument that is developed measures the particular concept it is intended to measure †¢ Whether we measure the right concept Validity: †¢ Content validity: ensures that the measure includes an adequate and representative set of items that tap the concept.A function of how well the dimensions and elements of a concept have been delineated †¢ Criterion-related validity: established when the measure differentiates individuals on a criterion it is expected to predict †¢ Construct validity: testifies to how well the results obtained from the use of the measure fit the theories around which the test is designed ? Correlational analysis: as in the case of establishing concurrent and predictive validity or convergent and discriminant validity ?Factor analysis: a multivariate technique that would confirm the dimensions of the concept that have been operationally defined, as well as indicate which of the items are mo st appropriate for each dimension ? Multitrait: multimethod matrix of correlations derived from measuring concepts by different forms and different methods CHAPTER XI POPULATION, ELEMENT, POPULATION FRAME, SAMPLE, & SUBJECT Population: the entire group of people, events, or things of interest that the researcher wishes to investigateElement: a single member of the population Population frame: a listing of all the elements in the population from which the sample is drawn Sample: a subset of the population, it comprises some members selected from it Subject: a single member of the sample SAMPLING Sampling: the process of selecting a sufficient number of elements from the population, so that the study of the sample and an understanding of its properties or characteristics would make it possible for us to generalize such properties or characteristics to the population elements ?All conclusions drawn about the sample under study are generalized to the population ? Xbar, S, S2 – ar e used as estimates of the population parameters ? , ? , ? 2 Reason for sampling: †¢ Self-evident †¢ Time, cost, and other human resources considered †¢ Sometimes likely to produce more reliable results Representativeness of samples: †¢ Rarely will the sample be the exact replica of the population from which it is drawn †¢ If we choose the sample in a scientific way, we can be reasonably sure that the sample statistic (e. . ,Xbar, S, S2) is fairly close to the population parameter (i. e. ,? , ? , ? 2) NORMALITY OF DISTRIBUTIONS ? Attributes or characteristics of the population are generally normally distributed ? If we take a sufficiently large number of samples and choose them with care, we will have a sampling distribution of the means that has normality ? This is the reason that the two important issues in sampling are the sample size (n) and the sampling design ?If our sampling design and sample size are right, the sample mean Xbar will be within close r ange of the true population mean (? ) ? The more representative of the population the sample is, the more generalizable are the findings of the research 2 major types of sampling design: 1. Probability sampling †¢ Simple random sampling †¢ Complex probability sampling ? Systematic sampling ? Stratified random sampling ? Proportionate and disproportionate stratified random sampling ? Cluster sampling ? Single-stage and multistage cluster sampling Area sampling ? Double sampling 2. Nonprobability sampling †¢ Convenience sampling †¢ Purposive sampling ? Judgment sampling ? Quota sampling PROBABILITY SAMPLING Probability sampling: when elements in the population have a known chance of being chosen as subjects in the sample Simple random sampling: every element in the population has a known and equal chance of being selected as a subject ? Best: when the generalizability of the findings to the whole population is the main objective of the study Complex probability sam pling: Systematic sampling: drawing every nth element in the population starting with a randomly chosen element between 1 and n ? Best: when the population frame is large, and a listing of the elements is conveniently available at one place †¢ Stratified random sampling: a process stratification or segregation, followed by random selection of subjects from each stratum. The population is first divided into mutually exclusive groups that are relevant, appropriate, and meaningful in the context of the study ?Best: when differentiated information is needed regarding various strata within the population, which are known to differ in their parameters †¢ Proportionate and disproportionate stratified random sampling: †¢ Proportionate: the subjects drawn from each stratum, members represented in the sample from each stratum will be proportionate to the total number of elements in the respective strata †¢ Disproportionate: the subjects drawn from each stratum, the number of subjects from each stratum will now be altered, while keeping the sample size unchanged Cluster sampling: when several groups with intragroup heterogeneity and intergroup homogeneity are found, then a random sampling of the clusters or groups can ideally be done and information gathered from each of the members in the randomly chosen clusters ? Best: when heterogeneous group is to be studied at one time †¢ Single-stage and multistage cluster sampling: the division of of the population into convenient clusters, randomly choosing the required number of clusters as sample subjects, and investigating all the elements in each of the randomly chosen clusters Area sampling: constitutes geographical clusters, when the research pertains to populations within identifiable geographical areas such as coutries, city blocks, or particular boundaries within a locality ? Best: when the goal of the research is confined to a particular locality or area †¢ Double sampling: where initially a sample is used in a study to collect some preliminary information of interest, and later a subsample of this primary sample is used to examine the matter in more detail ? Best: provided added information at minimal additional expenditureNONPROBABILITY SAMPLING Nonprobability sampling: the elements in the population do not have any probabilities attached to their being chosen as sample subjects Convenience sampling: collection of information from members of the population who are conveniently available to provide it ? Best: to obtain some â€Å"quick† information to get a feel for the phenomenon or variables of interest Purposive sampling: confined a specific types of people who can provide the desired information, either because they are the only ones who have it, or conform to some criteria set by the researcher Judgment sampling: the choice of subjects who are most advantageously placed or in the best position to provide the information required ? Best: where the collect ion of â€Å"specialized informed inputs† on the topic area researched is vital, and the use of any other sampling design would not offer opportunities to obtain the specialized information †¢ Quota sampling: a form of proportionate stratified sampling, in which a predetermined proportion of people are sampled from different groups, but on a convenience basis ?Best: for the inclusion of all groups in the system researched ISSUES IN DETERMINING SAMPLE SIZE 1. Precision ? How close our estimate is to the true population characteristic ? The narrower this interval, the greater the precision ? A function of the range of variability in the sampling distribution of the sample mean ? If we want to reduce the standard error given a particular standard deviation in the sample, we need to increase the sample size 2. Confidence ? How certain we are that our estimates will really hold true for the population ?Reflects the level of certainty with which we can state that our estimates of the population parameters will hold true ? A 95% confidence is the conventionally accepted level for most business research, most commonly expressed by denoting the significance level as p? 0. 05 ? At least 95 times out of 100, our estimate will reflect the true population characteristic The sample size, n, is a function of: 1. The variability in the population 2. Precision or accuracy needed 3. Confidence level desired 4. Type of sampling plan used 4 aspects while making decisions on the sample size: . How much precision is really needed in estimating the population characteristics of interest – what is the margin of allowable errors? 2. How much confidence is really needed – how much chance can we take of making errors in estimating the population parameters? 3. To what extent is there variability in the population on the characteristics investigated? 4. What is the cost-benefit analysis of increasing the sample size? Roscoe (1975); rules of thumb for determining sample size: 1. Sample sizes larger than 30 and less than 500 are appropriate for most research 2.Where samples are to be broken into subsamples (ex:male/female, etc), a minimum sample size of 30 for each category is necessary 3. In multivariate research (including multiple regression analysis), the sample size should be several times (preferably 10 times or more) as large as the number of variables in the study 4. For simple experimental research with tight experimental controls (matched pairs, etc), successful research is possible with samples as small as 10 to 20 in size Kalo menurut gue sih, tahapan yang paling genting dan paling kritis ya di pembuatan BAB 3 alias pembuatan/penentuan metodologi ini.Ibaratnya bikin racikan obat, BAB 3 ini kayak tahap ketika lo lagi menentukan takaran dosis setiap elemen ramuan (ya populasi, ya sample, ya lainnya). Kalo dosisnya kurang, pasien ga sembuh, merana harus menderita terus-menerus. Kalo dosisnya berlebihan, pasien over dosis, meledak na nti! Dua-duanya sama-sama gawat. Kalo lo udah bikin BAB 3 lo dengan benar, selanjutnya gampang kok, tinggal ngambil data or sebar kuesioner, analisa. Tingal jalan†¦. ga perlu berlari-lari jatuh bangun kedebak-kedebuk. Well, udah bisa berpikir lebih santai lah†¦.. Tapi inget!!!BAB 3 juga berasal dari BAB 2! Model penelitian lo kan berasal dari landasan teori di BAB 2. Salah teori, bisa-bisa salah model. Salah model, berakibat salah operasionalisasi variabel. Salah operasionalisasi variabel, salah kuesioner. Salah kuesioner, salah data. Salah data, tebak sendiri†¦. Tapi, BAB 2 juga berasal dari BAB 1 lho†¦. Lo kan harus tau permasalahan lo dengan jelas tuh. Apa yang jadi latar belakang permasalahannya, apa hasil akhir yang lo mau. Semua itu yang menentukan teori-teori apa aja yang lo butuhin untuk dicantumin! Hahahaha†¦.Intinya sih, semua harus dikerjakan secara berurutan yah: BAB 1-2-3. Inget prinsip â€Å"rukun† yang gue jabarin di atas†¦. Pokokn ya selamat mengerjakan BAB1,2,3 bolak-balik deh. 1,2,3 – 3,2,1 – 2,1,3 – begitu aja terus! Yang penting: sabar†¦ semua harus dikerjakan dengan ketenangan akal dan pikiran. Nikmatin aja prosesnya((( goodluck yo! CHAPTER XII 4 steps in data analyis: 1. Getting data ready for analyis 2. Getting a feel for the data 3. Testing the goodness of data 4. Testing the hypotheses GETTING DATA READY FOR ANALYSIS Editing data: ? Data have to be edited Information that may have been noted down by the interviewer, observer, or researcher in a hurry must be clearly deciphered so that it may be coded systematically in its entirety ? Incoming mailed questionnaire data have to be checked for incompleteness and inconsistencies Handling blank responses: ? Not all respondents answer every item in the questionnaire ? Blank because the respondent did not understand the question, did not know the answer, was not willing to answer, or was simply indifferent to the need to respond to the entire questionnaire ?Way to handle a blank response: †¢ Assign the midpoint in the scale as the response to that particular item †¢ Allow the computer to ignore the blank responses when the analysis are done †¢ Assign to the item the mean value of the responses of all those who have responded to that particular item †¢ Give the item the mean of the responses of this particular respondent to all other questions measuring this variable †¢ Give the missing response a random number within the range for that scale Coding: ? Code the responses Coding sheet first to transcribe the data from the questionnaire and then key in the data Categorization ? Set up scheme for categorizing the variables such that the several items measuring a concept are all grouped together ? Responses to some of the negatively worded questions have also to be reversed so that all answers are in the same direction Entering data ? Questionnaire data are collected on scanner answer sheet s or tha raw data manually keyed into the computer DATA ANALYSIS 3 objectives in data analysis: 1.Getting a feel for the data 2. Testing the goodness of data 3. Testing the hypotheses developed for the research Feel for the data: †¢ Examination of the measure of central tendency, and how clustered or dispersed the variables are, gives a good idea of how well the questions were framed for tapping the concept †¢ The statistics give feel for the data: ? The frequency distributions for the demographic variables ? The mean, standard deviation, range, and variance on the other dependent and independent variables ?An intercorrelation matrix of the variables, irrespective of whether or not the hypotheses are directly related to these analysis Testing goodness of data: †¢ Reliability: ? Testing consistency and stability ? Consistency indicates how well the items measuring a concept hang together as a set ? Cronbach’s alpha is a reliability coefficient that indicates how well the items in a set are positively correlated to one another ? The closer Cronbach’s alpha is to 1, the higher the internal consistency reliability †¢ Validity: Factorial validity can be established by submitting the data for factor analysis ? The results of factor analysis (a multivariate technique) will confirm whether or not the theorized dimensions emerge Hypotheses testing: †¢ Test the hypotheses already developed for the study Analisis. Selamat merangkai kata. Selamat merangkai logika! Ayo fitut†¦. Yang rajin dong ah! Jangan menunda-nunda! PEKERJAAN TEKNIS SPECIMENT FORMAT FOR REFERENCING [APA FORMAT] Book by single author Leshin, C. B. (1997). Management on the World Wide Web.Englewood Cliffs, NJ: Prentice-Hall. Book by more than one author Cornett, M. , Wiley, B. J. , & Sankar, S. (1998) The pleasures of nurturing. London: McMunster Publishing. Book review Nichols, P. (1998). A new look at Home Services [Review of the book Providing Home Services t o the Elderly by Girch, S. ] Family Review Bulletin, 45, 12-13. Journal Article Jeanquart, S. , & Peluchette, J. (1997). Diversity in the workforce and management models. Journal of Social Work Studies, 43 (3), 72-85.

How to manage time Essay

The two most powerful warriors are patience and time Tolstoy Why use time management skills? It’s important that you develop effective strategies for managing your time to balance the conflicting demands of time for study, leisure, earning money and Job hunting. Time management skills are valuable in Job hunting, but also in many other aspects of life: from revising for examinations to working in a vacation Job. Sometimes it may seem that there isn’t enough time to do everything that you need to. This can lead to a build up of stress. When revising for examinations, or during your final year when you have to combine the pressures of intensive study with finding time to apply for jobs good management of your time can be particularly important. Once we have identified ways in which we can improve the management of our time, we can begin to adjust our routines and patterns of behavior to reduce any time-related stress in our lives. What skills are required for effective time management? Some of these skills including setting clear goals, breaking your goals down into discreet steps, and reviewing your progress towards your goals are covered in Action Planning. Other skills involved include prioritizing – focusing on urgent and important tasks rather than those that are not important or don’t move you towards your goals; organizing your work schedule; list making to remind you of what you need to do when; persevering when things are not working out and avoiding procrastination. Using Lists Keeping a to-do List TO DO Work Write up lecture notes. *Prepare for seminar on Thursday Decide on subject for project Go to library to get material for essay. Other *Pay rent Research employers I want to apply to. Card for Sue’s birthday Prepare draft CV Buy iron Get two tickets for concert Visit Simon Go to bank to remember everything in your head as this is a recipe for disaster! Carry a pen and paper or organizer wherever you go. At the simplest level your reminder system could simply be to use your diary to write down the things you need to do, including appointments and deadlines. Before interviews, it’s fine to write down the questions you wish to ask on a small piece of card or notepad â€Å"To stay on schedule I devised a timetable which I had to stick to. I used an electronic calendar which I programmed to send out emails as reminders to myself and my team. This was a very useful tool and it is one that I have used continuously to manage my time effectively. † Kent student. A daily list of tasks that need to be done is an essential part of action planning. Refer to and update this regularly. Priorities items on the list into important/not important and urgent/non-urgent. Such a list can take a variety of formats but an example is given to the right. Update your list daily, crossing off completed tasks and adding new tasks that need to be done. Urgent or important tasks can be highlighted with an asterisk. Advantages of using a to do list Focuses your mind on important objectives You are less likely to forget to do tasks Writing a list helps order your thoughts It helps show the bigger picture You dont need to hold everything in your head. It saves time It helps you decide on priorities: the most important and the most urgent You are less likely to become sidetracked You get the reward of ticking off your achievements You feel more in control You have a record of what you’ve done You always have something to work on Setting Goals Set yourself specific and clearly defined goals, and make sure that these are realistic and achievable. To do this, you first need to examine your present situation and assess what goals are important to you and what action you need to take to achieve your target. Have a contingency plan or alternative route to your goal in case you have to change your plans, for example, taking a relevant postgraduate course if you can’t get a Job. See Action Planning. In a survey by Accountemps 150 executives were asked, â€Å"On which day of the week are employees most productive? † Their responses: Monday 12% Tuesday 57% Wednesday 11% Thursday Friday 3% Don’t know 6% Prioritizing Efficiency and effectiveness are not the same. Someone who works hard and is well effective. To be effective, you need to decide what tasks are urgent and important and to focus on these. This is called prioritizing. It’s important to list the tasks you have and to sort these in order of priority, and then to devote most time to the most important tasks. This avoids the natural tendency to concentrate on the simple, easy tasks and to allow too many interruptions to your work. Differentiate also between urgent and important tasks: an urgent task may not necessarily be important! When job hunting, you wont be able to apply to every employer. You will need to carefully riorities those you wish to apply to, based upon factors such as closing date, location, degree class required, and chances of getting in. Avoiding Procrastination â€Å"Never leave that till tomorrow which you can do today. † Benjamin Franklin Procrastination is the scourge of action planning. It’s important that you manage ‘Your fear of doing things’ you dont want to do and realize that the fear is often far worse than any possible negative results. Try to take decisions immediately when possible and when you don’t need to gather more information pertinent to the decision. The best time to do something is usually NOW. Taking action generates the impetus for further action. Many applications to prestigious employers now need to be made in the first term of your final year and if you procrastinate you’ll miss the deadlines. Breaking down tasks Break goals down into their components so that you can accomplish them one step at a time. Write these steps down, and try to be as specific as you can when you do this. Try to complete one task before you go on to the next. Reward yourself for achieving these goals to maintain your enthusiasm. For example, when you are invited to your first interview, treat yourself to a good meal with friends. Regularly review your progress towards your goals and revise plans as appropriate to take account of unforeseen changes. Persevering Inevitably, things will not always run smoothly as you progress towards your goals. When things are not working out, you need to persevere and learn how to take a positive attitude towards frustration and failure. Mistakes are a crucial part of any creative process and each is a lesson leading you towards the right solution. Fear of making or admitting mistakes is a major handicap to taking effective action. It is said that the people who have achieved the most have made the most mistakes! Try to be aware that satisfaction comes as much from pursuing goals as from achieving them. Work at effective strategies to deal with pressure – these can vary from taking exercise, to relaxation techniques such as Yoga, to simply sharing problems with friends. Being assertive can also help here, for example, politely saying no to the demands of others when you are pushed for time. Sharing tasks and problems with others will spread the burden and will bring a fresh perspective to them. Organizing your time Identify areas of your life where you are wasting time and try to reduce these. A good ay to do this is to log everything you do for a week in meticulous detail and then examine your record to see how you use (or misuse! ) your time. Develop a regular work routine. Keep your work space tidy so that you can work efficiently – it’s hard to so that you meet deadlines in good time – dont leave everything until the last minute. If you have a difficult essay to write, start by drafting out the structure first- this will break the ice. When applying for Jobs keep copies of all the applications you have made and keep a log of the date you applied, result, and a record of all your nterviews, plus you were questions asked.