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Sampling for Quantities & Qualitative Research Abeer AlNajjar 1 Population Target group (universe in texts) Census (to study every member of a population) because measuring every member of a population usually is not feasible most researchers employ a Sample Sample ( a subgroup of the population) 2 Communication researchers are interested in a population (also called a universe when applied to texts) of communicators, all the people who posses a particular characteristic, or, in the case of those who study texts, all the messages that share a characteristic of interest. The population of interest to researchers (often called the target group) might be members of a business, communication majors at a university, all students at a university, all people living in a city, all eligible voters in a country. Texts ( editorials published in a specific newspaper for a week, or a large universe such as every editorial published In every newspaper in the UAE, or even larger such as all persuasive messages). The best way to generalize to a population is to study every member of a population (Census) If every member is studied, we know, by definition, the population’s response at the point in time the study was done Sample The results from the sample are then generalized back to (used to represent) the population Representative sample ( population validity) Its similarity to its parent population 3 The results from the sample are then generalized back to (used to represent) the population). For such generalization to be valid (demonstrate population validity), the sample must be representative of its population. That is, it must accurately approximate the population. Types of sampling Random sampling (probability sampling) Involves selecting a sample in such a way that each person in the population of interest has an equal chance of being included Nonrandom sampling (nonprobability sampling) Is what ever researchers do instead of using procedures that ensure that each member of a population has an equal chance of being selected Sampling error Is a number that express how much the characteristic of a sample probably differ from the characteristics of a population 5 There are 2 different types of sampling procedures, and differ in terms of how confident we are about the ability of the selected sample to represent the population from which it is drawn Random sampling (probability sampling) Involves selecting a sample in such a way that each person in the population of interest has an equal chance of being included By giving everyone an equal chance , random sampling eliminates the danger of researchers biasing the selection process because of their own opinions or desires. By eliminating bias, random sampling provides the best assurance that the same characteristics of the population exist in the sample, and, therefore, that the sample represents the population. Nonrandom sampling: it sometimes is .
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4 1. International Markets and Profit Sanctuaries Read the Tesla and Ford Motors case studies in the text (Cases 16 and 18). Jot down any additional thoughts based on your general knowledge of the automotive industry and personal experience with buying, driving, fueling and maintaining cars. Background research may be needed to satisfy your curiosity and answer questions raised by your readings and recollections. Questions Please answer all of the following questions: Chapter 7 What (a) options and (b) approaches have Tesla and Ford Motors used to compete in international markets? Which is the more successful international competitor? Do either of these two companies have profit sanctuaries? If so, how are they being used? 2. The elevator pitch is one of the most important tools in an entrepreneur’s toolkit Discuss what an elevator pitch is, how long it should be, and what elements it should include. Who is your potential audience? Perform a YouTube search for the ABC series Sharktank Provide a link to a really good example of a pitch and tell us why you liked that pitch Please submit your discussion board post 3. Build on the idea that you developed in Week 3 and complete the First Screen Test Assignment Revise your concept description into a well-written, one-page document so that a potential investor can identify exactly what your solution does 4/7/2019 Research and Evaluation in Education and Psychology: Integrating Diversity With Quantitative, Qualitative, and Mixed Methods https://ncuone.ncu.edu/d2l/le/content/122307/viewContent/1252318/View?ou=122307 1/35 CHAPTER 8 Qualitative Methods It was not the detachment, the distance, or the objectivity, we believed, that made a research project great, it was the involvement, the closeness, and the subjectivity. We never heard anyone praise an ethnography by saying, “Wow, you really kept your distance from the participants.” Rather, research generated credibility by the closeness of researchers to their respondents and by how well they captured the essence of the lives and perspectives of the people they studied. —Adler and Adler, 2012, p. 18 Selecting a qualitative research team: Research team members may be selected based on commitment to the research process, counseling skills, and cultural competence, including respect for the dimensions of African cultural values. . . . Counseling skills equip team members with the ability to self-reflect, build rapport, and otherwise respectfully interact with participants. —Lyons, Bike, Johnson, and Bethea, 2012, p. 159 This study examines the impact of the zero-tolerance policies on Black males’ educational experiences and outcomes. Individual interviews were conducted with Black males who dropped out of high school. Using counter storytelling within a critical race theory framework, Black males discussed the influence of the zero-tolerance policies on their school experiences. —Caton, 2012, p. 1055 In This Chapter • Reasons for choo.
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Research Methods in Psychology Survey Research 1 Survey Research Survey research Describe thoughts, opinions, feelings Allows predictions based on correlations Questionnaires Predetermined set of questions Sample represents a population Examine survey procedures and analyses for sources of bias 2 Sampling in Survey Research Use sample to represent the larger population “Representative”: similar to Requires careful selection of a sample Goal: Generalize survey findings from representative sample to the population 3 Basic Terms of Sampling (p. 141) Population Set of all cases of interest (e.g., all students on a college campus) Sampling Frame List of the members of a population (e.g., registrar’s list of enrolled students) Sample Subset of population drawn from sampling frame Element Each member of the population 4 Biased Samples A biased sample Characteristics of the sample differ systematically from those of the population Sample over-represents or under-represents segment(s) of a population Population is 50% urban, 30% suburban, and 20% rural In a sample of 200 people, which one of the following would be representative? (p. 142) 50 rural, 70 suburban, and 80 urban 20 rural, 85 suburban, and 105 urban 40 rural, 60 suburban, and 100 urban 5 Biased Samples Two sources Selection bias Researcher’s procedures for selecting sample cause bias Response-rate bias Individuals selected for the sample do not complete the survey 6 Biased or Unbiased Sample Selection? A graduate student interested in sports psychology investigates fan reactions to a proposed change in the name of a local sports team to make it more culturally sensitive. As fans exit a game, he selects every 10th person to ask about the proposed name change. From his findings, he concludes: “Local sports fans do not want to see a name change.” Biased or Unbiased Sample Selection? A psychology professor offers extra credit for students in her class who attend a campus movie on the topic of adolescent depression and suicide. At the end of the movie a graduate student assistant asks if they liked this way of earning extra credit. Nine out of 10 students raise their hands, and the graduate student reports to the professor: “Almost everyone in your class likes this way of earning extra credit.” Approaches to Sampling “Sampling” Procedures used to obtain a sample Two basic approaches Probability sampling Nonprobability sampling 9 Probability sampling All members (elements) of population have an equal chance of being selected for the survey Simple random sample (p. 146) Random selection, random-digit dialing Stratified random sample Divide population into strata and sample proportionally (e.g., freshman, sophomore, etc.) Improves representativeness of sample Approaches to Sampling, continued 10 Nonprobability sampling No guarantee each member of population has an equal chance of being in the sample “Convenience sampling” Individuals ar ...
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