1 / 11

Chapter 8

Chapter 8. Experimental Designs: Between-Subjects Design. Experimental Strategy. Basic Characteristics: Manipulation of variable to create two or more levels Measurement of second variable Comparison of scores between levels Control of other variables. BGD.

thu
Télécharger la présentation

Chapter 8

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Chapter 8 Experimental Designs: Between-Subjects Design

  2. Experimental Strategy • Basic Characteristics: • Manipulation of variable to create two or more levels • Measurement of second variable • Comparison of scores between levels • Control of other variables

  3. BGD • Compares diff groups of individuals • Scores / groups are independent

  4. Advantages & Disadvantages • Advantages • Independent scores • Scores not contaminated • No practice, fatigue • No drug carry-over • Disadvantages • Large number of participants • Individual diff • Gender • History • High variability in scores

  5. BGD Confounds • Assignment Bias-confounding from ind. Diff. • Environmental var-any environ factors that diff between groups • Room • Temperature • Time of day

  6. Techniques for Equivalent Groups • Process to obtain participants should be similar • Treated equally • Characteristics of one group similar as possible • Restricted random assignment • Matching

  7. Matching • Assigning individuals to groups to balance potential confound • Can be tedious / time

  8. Variability • Can obscure effects of treatment • Variancestatistical measure that measures differences between scores • Example how ind diff influence variance and how variance influence interpretation of results

  9. Two Populations A & B

  10. Variance within the groups is bad • Variance between groups is good • Goal: maximize difference between conditions and minimize difference within the conditions • Minimize WGV: standardize process, limit ind diff, random assgn, matching, increase N

  11. Two-Group Design • Two levels of IV • Experimental Group • Control Group • Simplicity and maximizes effect of IV • Problem: true nature of relationship between IV and DV incomplete

More Related