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Assumptions Tests of Sphericity Valence Mauchly's W 1.000 Р NaN Homogeneity of Variances Test (Levene's) F Greenhouse-Geisser & Positive_valence_belief 0.834 Negative_valence_belief 2.794 * The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels df1 1.000 2 2 df2 Huynh-Feldt = 188 188 1.000 р 0.436 0.064 Which assumption checks are needed in our data? Have our data passed the assumption checks? Is it appropriate to proceed with the ANOVA?

Assumptions Tests of Sphericity Valence Mauchly's W 1.000 Р NaN Homogeneity of Variances Test (Levene's) F Greenhouse-Geisser & Positive_valence_belief 0.834 Negative_valence_belief 2.794 * The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels df1 1.000 2 2 df2 Huynh-Feldt = 188 188 1.000 р 0.436 0.064 Which assumption checks are needed in our data? Have our data passed the assumption checks? Is it appropriate to proceed with the ANOVA?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Assumptions Tests of Sphericity Valence Mauchly's W 1.000 Р NaNa Homogeneity of Variances Test (Levene's) F Positive_valence_belief Negative_valence_belief Greenhouse-Geisser & Huynh-Feldt & * The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels 0.834 2.794 df1 1.000 2 2 df2 1.000 188 188 Р 0.436 0.064 Which assumption checks are needed in our data? Have our data passed the assumption checks? ➤ Is it appropriate to proceed with the ANOVA?
Transcribed Image Text:Assumptions Tests of Sphericity Valence Mauchly's W 1.000 Р NaNa Homogeneity of Variances Test (Levene's) F Positive_valence_belief Negative_valence_belief Greenhouse-Geisser & Huynh-Feldt & * The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels 0.834 2.794 df1 1.000 2 2 df2 1.000 188 188 Р 0.436 0.064 Which assumption checks are needed in our data? Have our data passed the assumption checks? ➤ Is it appropriate to proceed with the ANOVA?
Repeated Measures ANOVA Within Subjects Effects Valence Valence * Correction Residual Note. Type 3 Sums of Squares Between Subjects Effects Sum of Squares df Correction Residual Sum of Squares 35.772 375.704 Note. Type 3 Sums of Squares 36.401 0.491 253.059 1 2 188 2 188 Mean Square 36.401 0.245 1.346 df Mean Square F 17.886 1.998 F р 27.042 < .001 0.182 0.833 8.950 <.001 Р n²p 0.087 n²p 0.126 0.002 Do we have a main effect of Correction? Do we have a main effect of Valence? Do we have an interaction between Correction and Valence? Do we need to run any post- hoc tests?
Transcribed Image Text:Repeated Measures ANOVA Within Subjects Effects Valence Valence * Correction Residual Note. Type 3 Sums of Squares Between Subjects Effects Sum of Squares df Correction Residual Sum of Squares 35.772 375.704 Note. Type 3 Sums of Squares 36.401 0.491 253.059 1 2 188 2 188 Mean Square 36.401 0.245 1.346 df Mean Square F 17.886 1.998 F р 27.042 < .001 0.182 0.833 8.950 <.001 Р n²p 0.087 n²p 0.126 0.002 Do we have a main effect of Correction? Do we have a main effect of Valence? Do we have an interaction between Correction and Valence? Do we need to run any post- hoc tests?
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