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Sampling; sample & population; human subjects

Sampling; sample & population; human subjects. Day #7, June 25 th CEP 955 Summer Hybrid, 2013 Jack Smith Michigan State University. Overview. Brief updates Holland & Eisenhardt ( “ Box 5.2 ” ) GGB, chapter 3 Greeno, Collins, & Resnick, pointers useful Important issues in GGB, chapter 6

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Sampling; sample & population; human subjects

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  1. Sampling; sample & population; human subjects Day #7, June 25th CEP 955 Summer Hybrid, 2013 Jack Smith Michigan State University

  2. Overview • Brief updates • Holland & Eisenhardt (“Box 5.2”) • GGB, chapter 3 • Greeno, Collins, & Resnick, pointers useful • Important issues in GGB, chapter 6 • Samples & Populations • Methods of sampling • Hoped for and actual samples • Human subjects issues (MSU’s SIRB) • Writing & outlining time: Sites and participants section • Theory bites from Holly and Barb

  3. Samples & Sampling (GGB, ch. 6) • Basic idea: Who gives us data has a lot to say about the significance of our work • Major distinction: Random samples for quantitative studies and purposeful samples for qualitative studies • Important distinction: Random sample (from known population) vs. random assignment of participants to groups • Target Population & Accessible Population • Not just for quantitative studies • Relevant to research in single institution • How will talk about the meaning of my results • Desired Sample & Actual Sample • Invitation and acceptance • Attrition

  4. The Non-Volunteers Problem • Participation in research in voluntary • Desired participants may choose not to participate • Issue: What information about the target phenomenon do you lose in the process? • Examining the nature of non-volunteers via public information; “data collection” is not allowed • GGB ideas about addressing the problem • What you may be losing (Table 6.3) • Positive recruitment strategies (Table 6.4)

  5. Human Subjects (a preliminary sketch) • Three basic principles • Research must be an ethical practice • Confidentiality (esp. in oral and written reports) • Informed consent • Voluntary participation • Universities and Institutional Review Boards (IRBs) • Human subjects application and approval: Satisfy MSU SIRB • “Responsible investigator” = your advisor • Jack’s advisee mistake & subsequent audit • Your special challenges • Teacher and researcher in small place • Participation voluntary? • Consent and assent

  6. Questions (for your “site & participants” section) • Who or what are the Units in my sample? • What is my Population? • Target • Accessible • Sites: where will I go to get my data? • Best (rational) choice • Actual choice • Sample: How many units do I need? • Expected response to invitation (of human subjects) • Expected attrition • Assignment of units to Groups (for research that will compare)

  7. Theory Bite(s) • Introducing Holly’s Practicum • Holly: CBAM, Concerns-Based Adoption Model • Q&A; discussion • Introducing Barb’s Practicum • Barb: Growth mind set • Q&A; discussion

  8. Homework for tomorrow • Things start to diverge: Measures & data collection and data analysis (W & Th) • Writing homework: Examine your current RQs • List all the constructs that you need to measure • List your current options for measure (what type?) • Reading homework: GGB “menu” • Chap. 7, Tests & self-report measures • Chap. 8, Questionnaire & interview measures • Chap. 9, Observation & content analysis • Spend ¾ of your reading time in the most applicable chapter; ¼ on a second • Wednesday & Thursday may have some “we have to address this topic” from prior days; don’t fit the overarching focus

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