Mixed ANOVA Dr. Smokey, the chief educational research officer at Volunteer County School, designed a three-month intervention intended to decrease students’ anxiety related to mathematics. A class of...

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Mixed ANOVA - 0ne question-using 2x3 mixed analysis of variance




Mixed ANOVA Dr. Smokey, the chief educational research officer at Volunteer County School, designed a three-month intervention intended to decrease students’ anxiety related to mathematics. A class of sixth graders were assigned to the intervention program. The data given below are from the twelve students participating in the program. The dependent variable is a measure of mathematics anxiety, which higher values representing higher anxiety. Data on students’ mathematics anxiety was collected at the end of each month for a three-month period. Data were also collected on the biological sex of the student. Analyze these data using 2x3 mixed analysis of variance, testing appropriate assumptions, and answer the following questions using an α = .05. Student Sex Time 1 Time 2 Time 3 1 F 10.6 5.9 8.6 2 F 9.7 5.7 5.4 3 F 12.5 8.9 7.9 4 F 9.6 6.8 3.1 5 F 7.3 2.8 5.3 6 F 6.7 4.2 2.3 7 M 1.1 1.3 4.3 8 M 3.2 6.3 5.4 9 M 5.4 4.2 7.3 10 M 0.6 1.2 1.4 11 M 2.4 3.1 2.1 12 M 2.4 3.3 4.4 a. Identify the between-subject and within-subject factors. (1 point) b. List and briefly describe the assumptions underlying this mixed analysis of variance (2 points). c. Do you meet the assumptions you outlined above? How did you come to these conclusions? (4 points) d. Was the program equally effective in reducing anxiety for males and females? If not, how did the effects of the program differ for males and females? (4 points) e. Did males and females differ in levels of anxiety at each time period? (4 point) f. Write-up the results of your analyses in APA-format including a discussion of assumption testing, results of the statistical analysis, and effect size reporting. (10 points)
Answered Same DayFeb 17, 2021

Answer To: Mixed ANOVA Dr. Smokey, the chief educational research officer at Volunteer County School, designed...

Sourav answered on Feb 19 2021
134 Votes
Mixed ANOVA
a). Sex is between subject factor and Month is within subject factor.
b) Mixed model ANOVA must meet certain assumptions in order to generate u
nbiased estimates of the main and interaction effects.
i) First assumption is that the residuals in both the between-subjects factor and the within-subjects Factors must be normally distributed, i.e. the residuals in sex factor and month factor is normally distributed.
ii) The second assumption is homogeneity of variances or homoscedasticity. This assumption holds that the two groups defined by the between-subjects variable have approximately the same error variance.
c)
    Tests of Normality
    
    Sex
    Kolmogorov-Smirnova
    Shapiro-Wilk
    
    
    Statistic
    df
    Sig.
    Statistic
    df
    Sig.
    Time1
    F
    .204
    6
    .200*
    .951
    6
    .748
    
    M
    .194
    6
    .200*
    .933
    6
    .600
    Time2
    F
    .164
    6
    .200*
    .985
    6
    .972
    
    M
    .178
    6
    .200*
    .927
    6
    .556
    Time3
    F
    .172
    6
    .200*
    .931
    6
    .590
    
    M
    .194
    6
    .200*
    .958
    6
    .806
    *. This is a lower bound of the true significance.
    a. Lilliefors Significance Correction
From the Kolmogorov- Smirnov test we see that the p-value for each of the three time period is greater than 0.05, so we can say that the residuals are normally distributed
    Levene's Test of Equality of Error Variancesa
    
    Levene Statistic
    df1
    df2
    Sig.
    Time1
    Based on Mean
    .375
    1
    10
    .554
    
    Based on Median
    .279
    1
    10
    .609
    
    Based on Median and with adjusted df
    .279
    1
    9.753
    .609
    
    Based on trimmed...
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