Exam 5: Analyzing Data With Pretest and Posttest Measurements of One Group

Using the data from Cohen listed in your text, for a one-group pretest-posttest design, an effect size of 0 would mean that there was no gain from the pretest scores to posttest scores.

A human service professional is interested in studying whether EMDR (Eye Movement Desensitization and Reprocessing Therapy) is effective in reducing trauma-related symptoms among returning veterans from active combat duty in Afghanistan. Reduction in the scores on the PTSD scale would indicate the therapeutic modality's effectiveness in reducing trauma related symptoms. Therefore, in this study, the professional would:

When you conduct a study using the one group pretest-posttest design and if you did not collect data in a manner to match each person's pretest scores and posttest scores, you may be able to complete your data analysis with:

The task of statistical analysis by conducting a binomial test is to:

You cannot have statistical significance without practical significance.

The Excel file for the binomial test included in this text requires which of the following to conduct the test?

The significance of the p value as the measure for statistical significance resides in the fact that:

An example of a movement from one threshold of functioning to another level of functioning that contributes to the conclusion of practical significance for the effectiveness of the treatment is:

In a directional hypothesis, the one-tailed t Test is used.

When you have an effect size of 1.2 from an analysis using one group pretest and posttest, it means:

In reporting the findings of your analysis for the t Tests, it is important to report the sample size, the mean posttest score, the value of t, and the value of p.

You compute the effect size by:

Explain how you will handle instances when your sample size is so small that only a large magnitude of gain will show up as statistically significant?

The effect size is: