# One-Way ANOVA – Critically Evaluate a Quantitative Article

For this Assignment, you will continue your practice as a critical consumer of research. You will critically evaluate a scholarly article related to one-way ANOVA testing.

To prepare for this Assignment:

• Search for a quantitative article related to one-way ANOVA testing.

For this Assignment:

Write a 2- to 3-page critique of the article you found. In your critique, include responses to the following:

• Why did the authors use this one-way ANOVA test?
• Do you think it’s the most appropriate choice? Why or why not?
• Did the authors display the data?
• Does the results table stand-alone (i.e., are you able to interpret the study from it?) Why or why not?

Use proper APA format, citations, and referencing.

Professor Notes on how to complete assignment:

6210 Week 7 Assignment 2 How to Critique a Journal Article

Note: This assignment is basically the same as the Week 6 Assignment 2, except it requires a research article that reports with a one-way ANOVA.

Warning: there are several different types of ANOVA to include

-One-way repeated measures ANOVA (this is not a one-way ANOVA)

-Factorial ANOVA

-ANCOVA

-MANOVA

You want to avoid these because they will hurt your head and they are also beyond the scope of his course. Find an article that uses a one-way ANOVA. Remember, you want to discuss one-way ANOVA.

Hence:

1. Select a quantitative article from a peer-reviewed journal that reports on research that uses a one-way ANOVA for statistical analysis.

2. Write a critique:

State that the researchers used a one-way ANOVA and explain why or why not that choice is correct. Hint: if you believe the one-way ANOVA choice is incorrect, find another article.

Explain why the researchers chose a one-way ANOVA. Do this by examining the RQ, null hypothesis, IV and DV:

The RQ should address differences in the DV based on the IV.

The IV must be nominal with 3 or more 2 levels (groups).

The DV should be interval or ratio.

3. Discuss the data display (datasets, charts, graphs, etc.): Hint; if the display requires a written explanation it should not be in the article.

4. Discuss if the data stand alone:

Review the results section for statements that reject or fail to reject the null hypothesis and/or state statistical significance has or has not been achieved.

If the statement(s) are supported by the statistics, then the data ‘stand alone.’ If the statement(s) are not supported by the statistics then the data do not ‘stand alone.'”