experiment or control Within Subjects Participants are assigned to all levels

Experiment or control within subjects participants

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experiment or control Within-Subjects Participants are assigned to all levels of all factors E.g., People take versions A and B both before and after
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Factorial design Factorial design allows us to tests for an interaction - what is that? 20 Simple Difficult Female Male Male Female Simple Difficult
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User study design User studies Experiment AB Testing Between-subjects Within-subjects AB+ (one-way) design Between-subjects Within-subjects Factorial design Between-subjects Within-subjects Mixed design 21
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Types of Experimental Designs Mixed Designs Participants assigned to different groups (between-subjects) Participants also test multiple times (within-subjects) Example Participants are assigned to experimental or control condition. Pre-test and post-test scores are taken.
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If within-subjects requires counterbalancing , should use a mixed design Participants tested in multiple conditions (not just a pre-post design), so counterbalancing is required Order assigned as a between-subjects variable Test if it has an effect or interaction Counterbalancing
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Mixed design with 24 Simple Difficult Order 2 Order 1 Order 1 Order 2 Simple Difficult counterbalancing
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Advanced analysis for experiments 25
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Experiment Random assignment to conditions that differ on one variable Analyze based on whether dependent and independent variables are categorical or continuous
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Continuous IV (e.g., how much) Categorical IV (e.g, exp vs control) Continuous DV (e.g., how much) correlation or regression t-test or ANOVA Categorical DV (e.g., yes/no) logistical regression chi-square test or loglinear Types of statistical tests independent samples t-test paired samples t-test one-way ANOVA repeated measures ANOVA factorial ANOVA
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Which test for what design? User studies Experiment AB Testing Between-subjects Within-subjects AB+ (one-way) design Between-subjects Within-subjects Factorial design Between-subjects Within-subjects Mixed design 28 independent samples t-test paired samples t-test one-way ANOVA repeated measures ANOVA factorial ANOVA
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Which test for what design? User studies Experiment AB Testing Between-subjects Within-subjects AB+ (one-way) design Between-subjects Within-subjects Factorial design Between-subjects Within-subjects Mixed design 29 independent samples t-test - compares 2 separate groups paired samples t-test - compares 1 group tested twice one-way ANOVA - compares >2 separate groups repeated measures ANOVA - compares 1 group tested x2+ factorial ANOVA - compares multiple independent variables
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Which test for what design? User studies Experiment AB Testing Between-subjects Within-subjects AB+ (one-way) design Between-subjects Within-subjects Factorial design Between-subjects Within-subjects Mixed design 30 independent samples t-test paired samples t-test one-way ANOVA repeated measures ANOVA factorial ANOVA repeated measures ANOVA repeated measures ANOVA with between-subjects factor added
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Testing for interaction If did not test for an interaction: Would miss important nuance 31
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My name is Niki. What’s your name?
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