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Part A:

1. Exploratory Data Analysis.

a. Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.

b. Compose a one to two paragraph write up of the data.

c. Create an APA style table that presents descriptive statistics for the sample.

2. Factorial ANOVA. Perform a factorial ANOVA using the "Activity 5.sav" data set.

a. Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary or explain why they are not required in this specific case.

b. Is there a main effect of classroom size? If so, explain the effect. Use post hoc tests when necessary or explain why they are not required in this specific case.

c. Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.

d. Is there support for the researcher's hypothesis that girls would do better than boys in classrooms with fewer students? Explain
your answer.

e. Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an
interaction between the two.

Part B. Applying Analytical Strategies to an Area of Research Interest

3. Briefly restate your research area of interest. Analysis of Covariance. Using your area of interest, identify one dependent and two independent variables, such that the independent variables would likely be covariates. Now, assume you conducted an ANCOVA that shows both the independent variable as well as the covariate significantly predicts the dependent variable. Create a mock ANCOVA output table (see SPSS Output 11.3 in your text for an example) that supports the relationship shown above.

Your submittal should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Where applicable your submittal should reflect scholarly writing and current APA standards.

Learning Outcomes

  • Develop appropriate null and alternative hypotheses given a research question.
  • Calculate and interpret descriptive statistical analysis.
  • Create and interpret visual displays of data.
  • Apply appropriate statistical tests based on level of measurement.
  • Determine the appropriate use of inferential statistical analysis.
  • Demonstrate proficiency in the use of SPSS.
  • Demonstrate proficiency in reporting statistical output in APA format.

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
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