I’m providing the instructor’s sample summary for you to model your assignment summary after; and I provide the SPSS data file for the summary so that you can produce the results reported in the summary.
This week, we are to conduct a Factorial ANOVA including simple effects analysis, and post hoc tests, then required to summarize the results in APA format/Style.
Attached is a sample APA formatted summary for a Factorial ANOVA – similar in design to the analysis you will be conducting and summarizing this week. Please model your summary my summary. But do not include my footnotes or Appendix in your papers.
Click her to access the sample summary: > APA Summary for 2 x 3 Factorial ANOVA w EDA and simple effects v6.docx (i have attached this Example Sample Summary as a doc)
You should model your summary after the instructor’s summary, including all of the tables and figure.
I’m also attaching the SPSS data file so that you can reproduce the results I present in my summary.
Note that in the appendix of my summary I provide the SPSS syntax to produce all of the statistics presented in the paper. You must understand that syntax and you must be able to reproduce it.
You’ll see that the “Compare” commands for the simple effects had to manually edited into the syntax.
The Null (Ho) and Alternative (Ha) Hyp’s for my sample summary would be as follows:
What is the Main Effects for Gender and Note Taking Condition are not statistically significantly. The Interaction of Gender x Note taking condition is also not statistically significantly.
Ha1: The main effect for gender is statistically, the GPA’s means of males and females differ significantly
Ha2: The main effect for Note taking conditions is statistically significant, the mean GPAs of the Key Concepts, Key Words, and Control Group differ significantly.
Ha3: The interaction of Gender x Note taking is statistically significant. Male and female respond differently to the Note taking conditions.
Based on a series of studies which report that Social Support “buffers” the impact of Life Stress on illness (Cohen & Wills, 1985) and psychological reactions (Raffaelli , et al. 2013), the present study was conducted to test the hypothesis that Social Support would buffer, that is moderate (Baron & Kenny, 1986), the relationship between Life Stress and Depression.
The sample consisted of 60 adults, randomly selected from a large suburban university in the Northeast. Males (n=30) and females (n=30) were equally represented in the sample. These research participants completed the Perceived Stress Scale (PSS, Cohen, et al, 1983), the Multidimensional Scale of Perceived Social Support (MDPSS, Zimet et al. 1988), and the Beck Depression Inventory (BDI-II, Beck et al
Based on their scores on the PSS, subjects were evenly split into 3 stress groups – reflecting low (n = 20, moderate (n = 20, and high (n = 20) levels of perceived life stress. In addition, based on their scores on the Social Support measure, subjects were classified into two groups, specifically low (n = 30) and high (n = 30) social support. Therefore, the IV in the present study are stress with 3-levels (Low, Moderate, and High) and social support, with 2-levels (Low or High). The dependent variable was BDI-II depression scores.
Your job is to conduct a 3 (stress level) x 2 (social support level) Factorial ANOVA, including Simple Effects analysis and Bonferroni’s Post Hoc mean comparison tests. Please model your summary after the instructor’s sample summary.
Here are the elements of this Assignment.
1) Create the Null and Alternative Hypotheses. See my examples;
2) Conduct the Factorial ANOVA, including. Levene’s test, Simple Effects Analyses (the simple effect of instructional method for sex), Post Hoc Tests (Bonferroni). and Effect Size (Eta-Square)
3) Write an APA formatted Summary of the Results. The first thing that you should do is conduct Levene’s test for equality of variances, and report the findings (state whether the data meets the assumption of homogeneity of variances, be sure to present the appropriate statistics to support your conclusion.). Then, be sure to interpret the main and interaction effect. You’ll find that the interaction of Stress x Support is statistically significant, therefore you must conduct and interpret the findings for the Simple Effects Analyses – that is:
The Simple Effect for Stress for the Low Social Support group
The Simple Effect for Stress for the High Social Support group
If either of these simple effects are significant (and they will be) conduct Bonferroni’s Post Hoc tests to determine within each Support Group which Stress Group means differ significantly.
Include the appropriate Tables and Figure (Graph) – See my sample summary). Please keep in mind that you must fully explain the results. I’ve provided a sample summary to show you what to include in the summary, how to present the statistics in the summary, tables, and figure (graph). Model your summaries after mine.
References:
Beck AT, Steer RA and Brown GK (1996) “Manual for the Beck Depression Inventory-II”. San Antonio, TX: Psychological Corporation
Cohen, S; Kamarck T; Mermelstein R (December 1983). “A global measure of perceived stress”. Journal of Health and Social Behavior. 24 (4): 385–396.
Zimet GD, Dahlem NW, Zimet SG, Farley GK. The Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment 1988;52:30-4
Guidelines for interpreting partial eta-squared (ηp2)
Stat Cats:
Here are some Guidelines for interpreting partial eta-squared (ηp2)
Suggested guidelines for interpreting partial eta-squared (ηp 2; Cohen, 1988) :
Small effect = .01;
Medium effect = .06;
Large Effect= .14
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates
Factorial Analysis of Variance in SPSS
Earlier this week, you practiced using factorial ANOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social research question using factorial ANOVA.
To prepare
Review the datasets provided.
Construct a research question with social change implications based on one of those datasets.
Be sure to focus on the assumptions of this test and ask yourself, “Does it make sense to interpret the mean of this dependent variable?”
Remember that you will need categorical predictor variables.
The Assignment
Use SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix.
What is the null hypothesis for your question?
What research design(s) would align with this question?
What dependent variable was used and how is it measured?
What independent variable is used and how is it measured?
If you found significance, what is the strength of the effect?
What is the answer to your research question?
What are the possible implications of social change?
Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1SES. See pages 533 and 534 in your Warner textbook for an excellent APA-compliant write-up of a factorial analysis of variance.
