Question: Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Identify the dependent variable (DV) and its Level of Measurement (Hint: it must be interval or ratio)
Identify the independent variable (IV) and its Level of Measurement
Write a research question (RQ)** that can be addressed by a One-way ANOVA. Use this format:
Is there a difference in the DV based on the IV? For example:
Note: a question is an interrogative sentence that ends with a question mark. Keep your RQ simple and concise.
Write the null hypothesis for your question. Use this format:
There is no difference in (insert DV) based on (insert IV).
- State the research design that aligns with the RQ.
- State the means test used to address the RQ. You have only 1 choice here: One-way ANOVA.
- Decide if the ANOVA is statistically significant and decide to reject or fail to reject the null hypothesis based on the significance finding.
- If the ANOVA is significant, calculate the effect size.
For a One-way ANOVA effect size is measured by = eta-squared. Calculate eta-squared this way:
i. Go to the ANOVA Output.
ii. Go to the Between Groups row and select the value in the Sum of Squares column.
iii. Go to the Total row and select the value in the Sum of Squares column.
iv. Divide the Between Groups Sum of Squares by the Total Sum of Squares. The result of this division is eta-squared and it must have a value between 0 and 1.
v. Explain the meaning of effect size.
vi. Decide if the effect is small, medium, or large.
vii. If the ANOVA is not significant the effect size is meaningless.
Information related to above question is enclosed below:
Attachment:- ReasoningWeek7writtenassignment1.rar