1
Method
Participants State when the study was conducted. State who and how many participants there were. Describe the sample by giving mean (SD) age, breakdown across gender categories, breakdown of class standing, and breakdown of race. Next, state the inclusion and exclusion criteria.
Procedures Explain the study flow. How was the study conducted? How was it administered/how were the data collected? Which timepoints/data are you using? Was compensation used, or was this class credit? What was the response rate at baseline, and (if you are using one of the daily measures), what were the response rates at that timepoint?
Measures
Measure 1 describe each measure, scale, and previously-reported (in other studies) internal and test-retest reliability, as well as validity. Cite your sources. Next, describe the psychometric properties in your sample: what are the internal consistencies, and what are the test-retest reliabilities?.
Measure 2 Repeat for measure 2
Measure 3 If you have measures 3 and 4 (if you are doing a multiple regression or mediation), same thing for 3 and 4
Measure 4
Statistical Analysis
Descriptive Analyses Note that you obtained means and standard deviations (SDs) for all continuous measures (state which ones) and frequencies for all nominal measures (name which ones).
Primary Analyses Describe your primary analysis, whether it’s a t-test, ANOVA, correlation, multiple regression. Describe what program you are using. If doing mediation, describe the steps.
References
Provide a minimum of FIVE (but likely much more because of having to look up reliability and validity) references in APA style.
Analytic Scenarios and Corresponding Visualization
If correlation, value and significance get reported in the text, and you should provide a figure with a scatterplot and trendline.
If multiple regression, you should submit a table with all the predictors.
If group differences (ANOVA, ANCOVA, t-tests):
t-test and significance (t value, degrees of freedom, significance) – in text and plot the group differences using bar charts with standard errors
ANOVA: report f-value, degrees of freedom, significance for omnibus and post-hoc comparisons (same information) in text and plot the group differences using bar charts with standard errors
ANCOVA, same (make sure you state in text what the factor variable and covariate are)
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