Ebp Ii Exam 2 Questions With Correct Answers Latest Update 2026

EBP II EXAM 2 QUESTIONS WITH CORRECT ANSWERS LATEST UPDATE 2026 T/F: An ANOVA is different than a t-test due to the fact that an ANOVA is used with 2 groups and a t-test is used when there are 3 or more groups. - Answers False ANOVA is used with 3 or more groups and/or 2 or more IVs A study has 1 IV with 4 groups. The best statistical analysis would be: - Answers one-way ANOVA You are reading a study that indicates that they were using a 2 x 3 ANOVA. From this, we can conclude that: - Answers There are two levels for the first IV and there are 3 levels for the second IV T/F: The F-statistic is used in an ANOVA; the larger the F-ratio, the grater the differences between the group means. - Answers True You are reading a study where the investigators want to see if there is a difference in strength measured in pounds of force for 4 different test positions for the gluteus medius muscle. The study design includes a group of 25 randomly selected healthy individuals who are put into the 4 different test positions where strength is measured. The mean force (in pounds) is compared between each test position to measure differences. This is an example of a: - Answers repeated measures ANOVA Which ANOVA design is most appropriate when you want to answer the question: Does the amount of improvement over time depend upon treatment group allocation? - Answers mixed-model ANOVA T/F: Post-hoc testing should be done when a statistically significant interaction is found after performing an ANOVA. - Answers True You are reading a study and notice that the authors have used a Bonferroni correction. Which of the below explain why this correction was used. - Answers To account for the family-wise error rate where alpha is divided by the number of post-hoc comparisons If a result is NOT statistically significant and the MCID is included in a confidence interval, the study has _____________ power and we __________ do a post hoc power analysis. - Answers inadequate power, should do post hoc power analysis Which of the follow inferential statistical analyses looks at between-group variability over within-group variability? a- ANOVA b- t-test c- t-test and ANOVA d- mean/median/mode - Answers c- t-test and ANOVA T/F: T-test is to t statistic and ANOVA is to F statistic. - Answers True You are studying a group of 100 people randomly assigned to one of 4 treatment groups (high intensity exercise, moderate intensity exercise, low intensity exercise, no exercise). You examine lower extremity strength with a dynamometer and balance using a standardized outcome assessment. You measure strength and balance at baseline, 2 weeks, 4 weeks, and 8 weeks. WHAT IS THE DV? - Answers strength and balance You are studying a group of 100 people randomly assigned to one of 4 treatment groups (high intensity exercise, moderate intensity exercise, low intensity exercise, no exercise). You examine lower extremity strength with a dynamometer and balance using a standardized outcome assessment. You measure strength and balance at baseline, 2 weeks, 4 weeks, and 8 weeks. WHAT IS THE IV? - Answers treatment group and time You are studying a group of 100 people randomly assigned to one of 4 treatment groups (high intensity exercise, moderate intensity exercise, low intensity exercise, no exercise). You examine lower extremity strength with a dynamometer and balance using a standardized outcome assessment. You measure strength and balance at baseline, 2 weeks, 4 weeks, and 8 weeks. NUMBER OF FACTORS - Answers 2 factors (group and time) You are studying a group of 100 people randomly assigned to one of 4 treatment groups (high intensity exercise, moderate intensity exercise, low intensity exercise, no exercise). You examine lower extremity strength with a dynamometer and balance using a standardized outcome assessment. You measure strength and balance at baseline, 2 weeks, 4 weeks, and 8 weeks. NUMBER OF LEVELS - Answers 4 levels for each factor T/F: Non-parametric tests are more powerful than parametric tests. - Answers False (parametric tests are more powerful) You are wanting to see if gluteus strength improves with strengthening. There are two groups: One group is getting eccentric exercises targeting the gluteus medius muscle group and the other group is getting concentric exercises targeting the same muscle group. Subjects were randomly selected from 3 different clinics located at different geographical locations. The outcome of interest is muscle strength which will be measured as either "strong", "diminished" or "poor" via a manual muscle testing procedure. If you only measure at one time point after intervention, how would you assess the data? - Answers Mann-Whitney U Test (DV are ordinal, two groups) Match the parametric test with the nonparametric counterpart. Unpaired t-test - Answers Mann-Whitney U Test Match the parametric test with the nonparametric counterpart. Paired T-test - Answers Wilcoxon signed-ranked test Match the parametric test with the nonparametric counterpart. One-way ANOVA - Answers Kruskal-Wallis analysis of variance Match the parametric test with the nonparametric counterpart. One-way repeated measures ANOVA - Answers Friedman two-way analysis of variance You are wanting to compare four different groups in a study you are designing for individuals with persistent low back pain. One group is getting mirror box training, another group is getting laterality training, the third group is getting a combination of both and the final group is the control group. The outcome of interest is tolerance to pressure at the L4 segment and measured as "hypersensitive", "normal" or "diminished". The group is randomly selected from several clinics. If you only measure at one time point after intervention, Which is most appropriate in this situation? - Answers Kruskal-Wallis (DV is ordinal, 1 factor with 4 levels) I have examined 3 groups (exercise and good diet, exercise and good sleep, exercise and mindfulness). I am measuring pain, disability, and strength at baseline, 2 weeks, 4 weeks, and 8 weeks. I have recognized that BMI may play a role in the outcomes for my sample. If I want to use BMI as a covariate and run an ANCOVA, which of the following should be true? a) categorical data b) heterogeneity of slopes c) A linear relationship between BMI (R=.7) d) A linear relationship between BMI and amount of exercise (R=.7) - Answers c) A linear relationship between BMI (R=.7) Same base study as above: