A researcher is trying to identify predictors for reading comprehension among children. Thedata filecontains 6 variables. The dependent variable is reading comprehension (reading), the independent variables are phoneme awareness (phoneme), visual perception (visual), morpheme awareness (morpheme), gender (1-female, 2-male) and LS (Learning Style:1-visual, 2-auditory, 3-kinesthetic).
*Please refer toSPSS Commandsfor tips on analyzing data.
Your task:
- Create dummy codes for categorical predictor variables. This will involve creating two new dichotomous variables from the LS variable: 1) LS_visual (where "1" indicates a visual learning style and "0" indicates not a visual learning style), and 2) LS_auditory (where "1" indicates an auditory learning style and "0" indicates not an auditory learning style). Provide a frequency table for the dummy coded variables.
- Check the assumptions of normality, homoscedasticity, and collinearity. Describe and provide support regarding whether the assumptions were met (Include supporting tables/graphs).
- Run multiple regression using three different methods (forced entry, stepwise, and hierarchical analysis). For the hierarchical analysis, consider the following variables first: gender, LS_visual and LS_auditory. Describe, compare, and interpret the results (include supporting tables). Which method would you pick for this analysis? Why?
- Write a summary report
Please write a summary report to include your main findings, your interpretation to the results, critical analysis to the results, implication of the findings and conclusion.
Your assignment will be graded using quantitative reasoning rubric.
Assignment Expectations
Critical Thinking:Expressing quantitative analysis of data to support the discussion showing what evidence is used and how it is contextualized.
Interpretation:Explaining information presented in mathematical terms (e.g., equations, graphs, diagrams, tables, words)
Presentation:Ability to convert relevant information into various mathematical terms (e.g., equations, graphs, diagrams, tables, words)
Conclusions:Drawing appropriate conclusions based on the analysis of data.