07 May WHAT SPSS SYNTAX WOULD YOU USE TO RUN A LOGISTIC REGRESSION MODEL WITH THESE THREE INDEPENDENT VARIABLES PREDICTING EVERSEX?
Suppose you have a dataset containing survey data on 783 adolescents. For each adolescent, you have a variable EVERSEX that indicates whether she or he has ever had sexual intercourse (0 for no, 1 for yes). You’re interested in how the likelihood of sexual activity varies in relation to three variables: perceived parental disapproval of teen sexual activity, perceived peer norms valuing sexual activity, and age. Perceived parental disapproval is a scale score derived from multiple Likert-type questionnaire items, and is named PARDIS in your dataset. Perceived peer norms is also a scale score, and is named PEERNORM. Age is a continuous variable computed as the difference between the date of data collection and each respondent’s date of birth, and is named AGE in your dataset. What SPSS syntax would you use to run a logistic regression model with these three independent variables predicting EVERSEX?
Suppose that your team has been analyzing data from an impact evaluation that used a posttest-only control group design. There were 227 participants in the treatment group, and 236 in the control group. The key outcome is a scale score measuring social support. In the dataset, the experimental group variable is named TREAT, and takes the value 0 for control group members and 1 for treatment group members; while the outcome variable is named SOCSUPP. A member of your team used SPSS to conduct a two-sample t-test, and you have been presented with the output appearing in Appendix 4. How would you quantify the estimated effect of the intervention in terms of a mean difference, and does the statistical test provide support for the effectiveness of the intervention?
One more question. Suppose your team has been analyzing data from an impact evaluation that used a one-group pretest-posttest design. In the evaluation 50 participants were classified as either sick or not sick both before and after the intervention. The pre-intervention measure appears in the dataset as a variable named SICKPRE, taking values 0 for not sick and 1 for sick. The post-intervention measure uses the same coding scheme and is named SICKPOST. A member of your team has used McNemar’s test to see whether the proportion of participants who were sick declined significantly over the course of the intervention, and you have been presented with the output appearing in Appendix 5. Looking at this output, did the proportion classified as sick increase or decrease over the course of the intervention, and was this change statistically significant?
Appendix 1. SPSS Output for Question 17.
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