Conduct an ANOVA comparing participants

recall will vary as a function of stress levels. Conduct an ANOVA comparing participants recall at Time 1 across all
three stress level conditions (low, medium, and high). Coduct post hoc tests if needed, using the Tukey method.Write a
short APA- formatted interpretation of the
results.

Looks like you might be doing a one-way ANOVA test for the data you choose for this project.

Your ANOVA summary table should have the following setup:

Source.....SS.....df.....MS.....F
Between
Within
Totals

If you calculate by hand, here are a few hints:

SS total = SS between + SS within

To calculate df between:
k - 1
Note: k = number of levels or groups.

To calculate df within:
N - k
Note: N = total number of values in all levels or groups.

df total = df between + df within

To calculate MS between:
SS between/df between

To calculate MS within:
SS within/df within

To calculate F-ratio:
MS between/MS within

After filling in the table and finding the F-ratio, find the critical or cutoff value to reject the null using an F-table. Compare to the F-ratio to determine whether or not to reject the null. If the null is rejected, there is a difference. If the null is not rejected, there is no difference.

Use the Tukey procedure to compare all possible pairs of means to determine which differs.

I hope this brief summary will get you started.

To conduct an ANOVA comparing participants' recall as a function of stress levels, you would need to follow these steps:

1. Gather your data: Collect data on participants' recall at Time 1, categorized according to three stress level conditions (low, medium, and high). Ensure that you have a representative sample of participants in each stress level condition.

2. Choose the appropriate statistical software: You will need a statistical software program (e.g., SPSS, R, or Excel) that can perform ANOVA calculations and post hoc tests.

3. Perform the ANOVA analysis: In your selected software, input your data and perform an ANOVA analysis. Make sure to specify the dependent variable (recall) and the independent variable (stress levels) correctly.

4. Examine the ANOVA results: Look at the output generated by the software. Focus on the "F" value, which represents the ratio of the between-group variance to the within-group variance. Also, pay attention to the p-value, which indicates the statistical significance of the F value.

5. Interpret the results: If the p-value is less than your predetermined alpha level (typically 0.05), you can conclude that there are significant differences in recall across the stress level conditions. However, if the p-value is greater than 0.05, you will not have sufficient evidence to claim significant differences.

6. Conduct post hoc tests (if needed): If the ANOVA results are significant, you can proceed with post hoc tests to determine which specific stress level conditions differ significantly from each other. The most commonly used post hoc test is the Tukey test, which compares all possible pairwise comparisons.

7. Report the results in APA format: Your APA-formatted interpretation should include the following information:
- State the main finding: "There was a significant effect of stress level conditions on participants' recall at Time 1, F(df1, df2) = F-value, p < .05."
- Indicate the direction of the effect: "Participants' recall varied significantly across different stress level conditions."
- Summarize the specific differences: "Post hoc tests using the Tukey method revealed that participants in the medium stress level condition had significantly higher recall compared to both the low stress level condition (p < .05) and the high stress level condition (p < .05). However, no significant difference in recall was found between the low and high stress level conditions."

Remember that this interpretation is a general template, and you should tailor it to your specific study and results.