Using SPSS GLM, analyze the data and give the syntax, conclusions and interpretation for the test.
HUDM 5123 Lab 1: Dependent group's t-test (RB-2 design)
This lab asks you to analyze a simple matched-groups design in two ways: using the dependent groups' test, and analyzing the similar data as a randomized blocks design with p=2 levels of the within-subjects factor (using SPSS's GLM procedure).
In this study, researcher is studying the effect of participation in an afterschool program on problem behaviours (for example smoking, risky sex) in teens. Because participants in the program are volunteers, before being randomly assigned to conditions, the group of participating teens differs in a number of ways from non-participants most importantly in a composite measure of "social/academic risk." The researcher decides to try to control for group differences by matching pairs of students, one participant with one non-participant, with similar risk scores. Fifteen matched pairs of students are created, so the total number of students followed is N=30. After three months of program, the scores of participants and non-participants are compared (the dependent variable is a composite measure of problem behaviours, Y, obtained by summing severity measures across a set of target behaviours).
DATA:
|
Pair
|
Partic
|
Non-Partic
|
|
01
|
16
|
22
|
|
02
|
09
|
14
|
|
03
|
18
|
14
|
|
04
|
23
|
26
|
|
05
|
07
|
19
|
|
06
|
22
|
16
|
|
07
|
14
|
17
|
|
08
|
09
|
17
|
|
09
|
14
|
09
|
|
10
|
16
|
25
|
|
11
|
15
|
15
|
|
12
|
17
|
23
|
|
13
|
25
|
26
|
|
14
|
09
|
18
|
|
15
|
17
|
12
|
Using SPSS GLM, analyze the data as an RB-2 design. Call the "within-subjects" (actually, within-pairs) factor PROGRAM. Once more, print out your syntax and output and turn it in. Also, in one sentence report the results of test (the value of the test statistic and decision you reach concerning the null hypothesis), and in another interpret results.