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Mixed Factorial Designs in Psychology II: Analysis and Results

Understand design and data analysis in psychology using a mixed factorial approach with transversal and longitudinal variables. Explore main and interaction-effect hypotheses with examples and SPSS results.

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Mixed Factorial Designs in Psychology II: Analysis and Results

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  1. LESSON 5MIXED FACTORIAL DESIGNS Design and Data Analysis in Psychology II Salvador Chacón Moscoso Susana Sanduvete Chaves

  2. INTRODUCTION • At least one variable is transversal and other variable is longitudinal. • In this case. we have to take into account homoscedasticity and sphericity.

  3. EXAMPLE We would like to study how different kinds of words (b1=names; b2=adjectives; b3=verbs) are memorized in two different groups of participants (a1=8-year-old children; a2=10-year-old children. Main-effect hypotheses: • Is there relationship between the kinds of words and the memorization? • Is there relationship between the age and the memorization? Interaction-effect hypothesis: 3. Are there differences in memorization of different kinds of words depending on the age of the participants?

  4. EXAMPLE

  5. RESULTS (SPSS) Hypotheses 1 and 3:

  6. RESULTS (SPSS) Hypothesis 2: Levene contrast Between groups tests

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