Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:
Which is the research design used by the authors?
Why did the authors use this t test?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA StyleWrite a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:
Which is the research design used by the authors?
Why did the authors use this t test?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?
References
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation” (previously read in Week 5
Chapter 11, “Editing Output” (previously read in Week 2, 3, and 4)Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation” (previously read in Week 5
Here is an example of an RQ that would work for t-tests:
RQ: Is there a difference in performance scores (DV) between males and females (IV)?
When writing your hypotheses, remember that you need both a null and alternative hypothesis. The null states that there is no effect. The alternative states that there is an effect. How you write this depends on what type of test you are conducting. If you’re conducting a comparison between groups, this might be an example:
Ha: There is a difference in performance scores (DV) between males and females (IV).
Ho: There is no difference in performance scores (DV) between males and females (IV).
When conducting t-tests, the design that you will be using is typically experimental, quasi-experimental, causal-comparative, etc. Be sure to research these different types of designs so that you understand each one and how they differ from each other.
When reporting t-tests, you want to use APA style like this:
t(df) = xx.xx, p < .xx
Here is an example:
There was a significant effect for gender, t(54) = 5.43, p < .001, with women receiving higher scores than men.
https://psychology.illinoisstate.edu/selandau/ReportingStatisticsinAPAStyle.htmlHere is an example of an RQ that would work for t-tests:
RQ: Is there a difference in performance scores (DV) between males and females (IV)?
When writing your hypotheses, remember that you need both a null and alternative hypothesis. The null states that there is no effect. The alternative states that there is an effect. How you write this depends on what type of test you are conducting. If you’re conducting a comparison between groups, this might be an example:
Ha: There is a difference in performance scores (DV) between males and females (IV).
Ho: There is no difference in performance scores (DV) between males and females (IV).
When conducting t-tests, the design that you will be using is typically experimental, quasi-experimental, causal-comparative, etc. Be sure to research these different types of designs so that you understand each one and how they differ from each other.
When reporting t-tests, you want to use APA style like this:
t(df) = xx.xx, p < .xx