Overview
Research Question: Is there a correlation between AGE and MENTHLTH among childless respondents (CHILD = 0)? Using the GSS Data
Please include syntax!!!
use the GSS 1972–2024 cumulative SPSS file. If exceeding student SPSS limits (50 variables, 1,500 cases), subset to a manageable size (e.g., recent years or variables like MENTHLTH, AGE, RACE, REGION, WTSSALL)
Import the GSS .sav file. Define variable properties in Variable View (e.g., labels for MENTHLTH: 0–30 days, -100 = Inapplicable). Ensure at least one stigma-related variable is included. Descriptive Statistics: Run Frequencies and Descriptives on a stigma-related variable (e.g., MENTHLTH or a recoded stigma variable). Summarize central tendency (mean/median) and spread (standard deviation). Missing Data and Outliers: Identify and handle missing values (e.g., RECODE -100 TO SYSMIS). Use boxplots or z-scores to detect outliers in MENTHLTH and describe handling method (e.g., exclusion or transformation). Visualization: Create at least two charts using Chart Builder (e.g., histogram of MENTHLTH, bar chart of stigma by AGE). Ensure charts are labeled and interpretable. Bivariate Analysis: Conduct a Chi-Square test (e.g., stigma by REGION) or correlation (e.g., MENTHLTH vs. AGE). Interpret significance and effect size. Sampling/Subsetting/Weighting: Subset data (e.g., YEAR >= 2020, AGE > 50), apply a random sample (e.g., 20%), and weight with WTSSALL for representativeness. Compare weighted vs. unweighted results. Public Health Application : Propose a stigma reduction intervention based on findings (e.g., targeting high-stigma groups like rural or minority populations). Address limitations (e.g., missing data, sampling variability).
PowerPoint (5–7 slides):
Slide 1: Title, name, date Slide 2: Introduction and research question Slide 3: Methods (key SPSS steps, Slide 4–5: Results (charts/tables, Slide 6: Public health implications Slide 7: Conclusion