1 / 13

Within Subjects / Repeated Measures Design

Within Subjects / Repeated Measures Design. What are they? Advantages Deal with error variance Increased power Disadvantages: Carry over effects. Sources of Carry Over. Learning Fatigue Habituation Adaptation Sensitization Contrast. Dealing with Carry Over.

Samuel
Download Presentation

Within Subjects / Repeated Measures Design

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. Within Subjects / Repeated Measures Design • What are they? • Advantages • Deal with error variance • Increased power • Disadvantages: Carry over effects

  2. Sources of Carry Over • Learning • Fatigue • Habituation • Adaptation • Sensitization • Contrast

  3. Dealing with Carry Over • Complete Counterbalancing (balanced across individual subject) • Block randomization • ABBA counterbalancing • Incomplete Design (different order for different subjects) • All possible orders • Partial counterbalanced • Latin square design

  4. Block Randomization • Break up the number of times the participant is exposed to the various levels into blocks • # of blocks = # times expose to each level • Size of the block = # conditions • Averaging process • Each level has an equal likelihood of being at the beginning, middle and end of presentation

  5. Example • IV: encoding strategies with 3 levels • Imagery, rehearsal, control • Want to expose you to these techniques 4 dif times • Trial Condition • 1 C • 2 I • 3 R • 4 R • 5 I • 6 C • 7 I • 8 R • 9 C • 10 C • 11 R • 12 I

  6. ABBA • Balance effects by presenting one sequence and then following it with its opposite • Appropriate when practice effects are linear • ACBBCA • Even # of repetitions • ACBBCAACBBCA • Not ACBBCAACB • Problem: anticipation effects

  7. Incomplete Designs • Each condition must appear in each ordinal position equally often (different Ss) • All possible orders • With 2 conditions 2 orders (AB or BA) • With 3 conditions 6 orders (ABC, ACB, BCA, BAC, CAB, CBA) • N! # of orders, so limited to 4 or fewer

  8. Example • Subjects T1 T2 T3 • 1 1 2 3 • 2 1 3 2 • 3 2 1 3 • 4 2 3 1 • 5 3 1 2 • 6 3 2 1 • ETC

  9. Partial Counterbalanced • Latin Square • Construct in 4 steps • Arrange first N letters of alphabet in alphabetical order; then rotate first letter into last position • Randomly rearrange the column order using a random number table • Randomly rearrange the rows • Randomly assign treatments to letters

  10. Column • 1 2 3 4 • 1 A B C D • 2 B C D A • 3 C D A B • 4 D A B C

  11. Treatment order as IV • Mixed design • 2 X 2 • Type of encoding X Order • Measure size of the carry over effect • Limitations: keep number of treatment orders small, otherwise a complex, demanding experiment

  12. Minimize Carryover • Reduce carryover, reduce error variance, which increases power • Not all sources can be minimized • Give practice trials • Allow time to habituate, adapt, and/or rest (fatigue) • Typically a combination of methods

  13. When to Use • When subject variables or individual difference variable correlated with DV • Economizing on number of subjects • Assessing effects of increasing exposure

More Related