analyzing data using descriptive statistics

QUESTION

In this discussion board, you will view the video and consider how statistical significance affects the results of a project or study. We use t-tests to determine mean scores between the pretest and posttest results. In between giving an instrument as a pretest, we teach or share information for the participants so that they learn something new based on evidence. Once that is completed, a posttest is given to see if there are higher posttest scores depending on what is proposed. For instance, if we are measuring levels of confidence with the Confidence Scale (C-Scale), we would like to see an increase from the pretest to the posttest indicating that the participants are more confident. However, if we are measuring anxiety, we would want the scores to decrease after the intervention. When providing your initial post, share the instrument you are considering for your paper and indicate if you want the scores to go up or down and what an acceptable “p value” is at the <0.05 level to have statistical significance. Please use your research text for assistance.

Required Videos

Statistical Significance and p-values (8:56 Minutes) (2020) (WO: 6, 7)

Statistical Significance and p-values Video Transcript


t-tests for Beginners (19:50 Minutes) (2016) (WO: 6, 7)

t-tests for Beginners Video Transcript

Instruments and Articles

Initial Post:

For your initial post, review one of the articles provided and discuss the analysis done by the authors about the instrument they are discussing. Consider the analysis section and if they had at least a sample of >100 participants (n=100), what kind of t-test did they run, and what was the p value they found. Explain that we normally expect the p value to be <0.05 to have statistically significant results-did this study achieve this based on the tables in the article? Consider if the study demonstrated clinically significant results that may be useful in practice.

When you are analyzing what was found look to see the following:

1. Did they have at least a sample of >100 participants (n=100)?

2. What kind of t-test did they run?

3. What was the p value that they found?

4. We normally expect the p value to be <0.05 to have statistically significant results-did this study achieve this based on the tables in the article?

5. Did the study demonstrated clinically significant results that may be useful globally in practice?

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