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Experimental Psychology PSY 433 Chapter 9 Conditioning and Learning (Cont.)

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Presentation on theme: "Experimental Psychology PSY 433 Chapter 9 Conditioning and Learning (Cont.)"— Presentation transcript:

1 Experimental Psychology PSY 433 Chapter 9 Conditioning and Learning (Cont.)

2 Maze Data (Both Labs)

3 Maze Errors (Both Labs)

4 Tests of Within-Subjects Effects Measure: MEASURE_1 SourceType III Sum of SquaresdfMean SquareFSig. TimeSphericity Assumed21082.344141505.8829.128.000 Greenhouse-Geisser21082.3441.23617062.8389.128.004 Huynh-Feldt21082.3441.28416420.2889.128.004 Lower-bound21082.3441.00021082.3449.128.008 Error(Time)Sphericity Assumed39263.785238164.974 Greenhouse-Geisser39263.78521.0051869.285 Huynh-Feldt39263.78521.8271798.892 Lower-bound39263.78517.0002309.634 ANOVA (Repeated Measures)

5 Small-n Designs Behavior often cannot be studied in large groups (large-n designs) Small-n frequently used in therapeutic situations Reversal designs: ABA or ABAB A = baseline recording of behaviors B = introduction of treatment IV is essentially treatment / no treatment.

6 Example: Crying Behavior Bill crysAdults attend + Reinforcement Increases Removing the positive reinforcement (attention) extinguishes crying behavior.

7 FIG: Kanto7e 9-8, Hart data

8 Multiple Baseline Designs Observe different behaviors, before and after learning. Can be done two ways: Observe multiple behaviors in one individual -- like a within-subject design Observe a single behavior in different individuals – between-subjects Treatments are introduced at different times.

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11 Example: Siblings Compared 3 pairs of autistic vs normal siblings Baseline -- observed target behaviors (counting, letter ID, etc) Treatment -- trained normal sib to reinforce behaviors of autistic sib DV -- number of correct performances of behaviors.

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13 Changing Criterion Design Instead of comparing different people or different behaviors, progress in shaping behavior over time is measured. The target behavior needed for reinforcement is changed as a behavior is acquired. Range-bound changing criterion – instead of a target, a range for reinforcement is established. Distributed-criterion design – targets are spread across several behaviors.


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