17 Questions
Explain the assumption of sphericity in a repeated measure ANOVA design.
Sphericity in a repeated measure ANOVA design refers to the assumption that the variances of the differences between all possible pairs of within-subject conditions are equal.
Why can't the homogeneity of variance assumption be used for repeated measures?
The homogeneity of variance assumption cannot be used for repeated measures because it does not account for the correlation between repeated measures taken on the same subjects.
Explain why using favorite sweet treat as a predictor of the personality trait agreeableness in a linear regression model would not be suitable.
Using favorite sweet treat as a predictor of agreeableness in a linear regression model may not be suitable because the predictor variable is categorical, and linear regression typically requires continuous predictors.
Redesign the study so that linear regression would be a suitable method of analysis.
To make linear regression suitable, one could recode the categorical variable 'favorite sweet treat' into dummy variables representing each category (e.g., chocolate, mints, dried fruits, chewing gum).
Write 6 moderately difficult, short answer essay questions on ANOVA, T tests, Multiple regression, Factorial ANOVA, ANCOVA.
This task involves creating custom essay questions based on the content provided.
What is the dependent variable in the given analysis?
Anxiety
What are the predictors included in Model 2 of the analysis?
IQ, age years, Creativity, Memory, Spatial processing, Speed of processing, Abstract reasoning
What is the F-statistic value for Model 1?
25.269
Which predictor has the highest standardized coefficient (Beta) in Model 2?
IQ
What is the significance level for the coefficient of Memory in Model 2?
0.012
What do the collinearity statistics Tolerance and VIF assess in the analysis?
Collinearity among predictors
Explain the difference between concerned and naïve focus groups.
Concerned focus groups involve participants who are knowledgeable about the topic being discussed, while naïve focus groups involve participants who have little to no prior knowledge.
Briefly describe the key steps involved in using thematic analysis to analyze data obtained through focus groups.
Thematic analysis involves familiarizing yourself with the data, generating initial codes, searching for themes, reviewing themes, defining and naming themes, and producing the final report.
Devise a suitable hypothesis for a researcher interested in whether five different cognitive measures can predict levels of anxiety in older people.
Higher scores on cognitive measures will be associated with lower levels of anxiety in older people.
Explain the analysis used by the researcher in the SPSS output provided and discuss its suitability.
The researcher used a multiple regression analysis to predict anxiety levels based on cognitive measures. This method is suitable as it allows for the examination of the combined effect of multiple predictors on the outcome variable.
Summarize the analysis and discuss whether it supports the hypothesis of the researcher.
The analysis aimed to predict anxiety levels in older people using cognitive measures. The results showed that cognitive measures significantly predicted anxiety levels, supporting the hypothesis.
What other confounds might be relevant in this statistical analysis? How might including them change the findings of the study?
Confounds like age, gender, or health conditions could affect the relationship between cognitive measures and anxiety levels. Including these confounds in the analysis may alter the strength or direction of the relationship found.
Test your skills in interpreting SPSS output for research scenarios. Analyze the hypothesis, methodology, and results section in the context of data analysis. Enhance your understanding of statistical analysis and interpretation.
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