PUBH 6033 Interpretation And Application Of Public Health Data

Question: A study was conducted to determine if a walking plus strength training exercise program results in a significantly greater increase in aerobic capacity as compared to a walking only exercise program. Participants are randomly selected and then randomly assigned to one of the exercise groups. Participants’ aerobic endurance was assessed at the beginning of the study and, again, after 6-months of exercise. Coding for study variables: AGE—age in years SEX—1 =male, 2=female EXERCISE—1= walking and strength training; 2 = walking; CHNG_ENDUR—change in maximal oxygen uptake (liters per minute) from pre-test to post-test Note: Save all of your SPSS output. You will paste copies in Steps 7–9, below. Step 1: Review this week’s Learning Resources. Step 2: Import the Microsoft Excel data file provided in this week’s Learning Resources into SPSS (or open saved file from Week 2 Application Assignment). Step 3: Run and save the Codebook for your SPSS data file Step 4: Conduct an independent samples t test to determine if there is a difference between the exercise type 1 in terms of changes in maximal oxygen uptake. Note that the independent variable is EXERCISE, and the dependent variable is CHNG_ENDUR. For this analysis, choose a two-tailed test of significance. Step 5: Conduct a between-subjects ANOVA to determine if there is a difference between sex (males vs. females) and CHNG_ENDUR. Note that the independent variable is SEX, and the dependent variable is CHNG_ENDUR. For this analysis, choose a two-tailed test of significance. Answer: T test T-TEST GROUPS=EXERCISE(1 2) /MISSING=ANALYSIS /VARIABLES=CHNG_ENDUR /CRITERIA=CI(.95). ANOVA ONEWAY CHNG_ENDUR BY SEX /STATISTICS DESCRIPTIVES /MISSING ANALYSIS. Step 8: Paste the independent samples t-test output below. Group Statistics EXERCISE N Mean Std. Deviation Std. Error Mean CHNG_ENDUR walking and strength training 20 4.85 1.424 .319 walking 20 3.50 1.821 .407 Independent Samples Test Levene’s Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper CHNG_ENDUR Equal variances assumed .343 .562 2.611 38 .013 1.350 .517 .303 2.397 Equal variances not assumed 2.611 35.918 .013 1.350 .517 .301 2.399 Step 9: Paste the ANOVA output below. Descriptives CHNG_ENDUR N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum Lower Bound Upper Bound male 22 4.32 1.729 .369 3.55 5.08 2 8 female 18 4.00 1.815 .428 3.10 4.90 1 8 Total 40 4.18 1.752 .277 3.61 4.74 1 8 ANOVA CHNG_ENDUR Sum of Squares df Mean Square F Sig. Between Groups 1.002 1 1.002 .321 .575 Within Groups 118.773 38 3.126 Total 119.775 39 Section below (scoring) is to be completed by Instructor Scoring Rubric for Week 2 Assignment 1—Hands on SPSS Questions 14 questions (worth 3 points each) ____ / 42 points possible SPSS Output Three SPSS outputs (6 points each) ____ / 18 points possible

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