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Data Collection

Data Collection

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Data Collection

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  1. Data Collection

  2. In the Beginning • Define Constructs (what is the domain?) • Therapy effectiveness • Integrity tests • Research Question • What’s the average? Zero? • Impact of management (Brown) • Theoretical Justification of Moderators • Pick ONE study type (e.g., experiment, correlational study).

  3. Sources of Data (ES) 1 • Conference Proceedings & Abstracts • Dissertations • Local • Distant • Electronic Databases • Psych info, APA online • SSCI, Web of Science • What others? • Government Docs & Agencies

  4. Sources of Data (2) • Hand searches of the literature • Refs in books • Refs in articles • Flip thru journals • People in the area (write, email, drink) • Use your contacts (faculty, friends, etc.) • Butter up • Review Articles (used to be more) • Unpublished manuscripts (prepubs, too)

  5. Country Language Measure (specific) NEO vs Big Five Beck vs CESD Measure (general) Reliability N of items Participants (e.g., female cancer survivors; bankers; no students; employed 20 + hr/ week, etc.) Publications (what type) Published vs. not Eligibility (1)

  6. Time frame Gains over time Time after treatment (e.g., smoking) Required information Effect Size Moderator Other Study Design Control group Repeated Measures Random Assignment Specific controls (e.g., dismantling) Methodological Quality? Code for features Eligibility (2)

  7. Database types • Access, Excel, SAS, CMA • Lipsey & Wilson Recommend 3 files: • Retrieval – search status • Eligibility – determination of whether study is eligible after being retrieved • Main – the coded data • All should contain Study ID

  8. Main Database • Study ID • Effect Size • Sample Size(s) • Info re Standard Error • Dependencies • Moderators