DSRT 734: Testing Chronic Disease Prevalence by Gender in JASP

DSRT 734 Question

A researcher wanted to test if the prevalence of a certain chronic
disease was different between genders. Download the attached dataset
and open it in JASP. Run the correct test, copy your output into the
answer blank, and write your conclusion in APA format.

What this question assesses

This assignment assesses categorical data preparation, contingency-table analysis, method choice from expected counts, and interpretation of prevalence differences without overstating association as causation.

How to approach this type of question

The missing file is needed to know the gender categories, disease coding, sample size, missingness, and cell frequencies. With the data, verify that one row represents one independent participant and document how unknown or missing responses are handled. Build a gender-by-disease contingency table with observed counts, useful percentages, and expected counts. In JASP, use the categorical analysis workflow and evaluate expected-cell diagnostics before choosing between an asymptotic chi-square result and an exact alternative. Request an effect-size measure or odds-based summary if it is part of the validated course workflow. Record the selected statistic, degrees of freedom where applicable, p-value, total analyzed N, and the prevalence percentages that support interpretation. Use association language unless the research design establishes causality, and discuss uncertainty and practical context. Without the attachment, no table, output, prevalence estimate, or APA conclusion can be generated.

A data audit should list all observed gender and disease categories, missing-value codes, exclusions, and the resulting contingency-table dimensions. Request counts, percentages, expected counts, the justified inferential test, and an interpretable effect measure. If sparse cells require an exact approach, record that reason. Keep the statistical decision distinct from practical prevalence differences and from causal language. Only the recovered dataset can establish these quantities. Retain the JASP analysis settings and label whether displayed proportions use row or column denominators. Verify that category codes have not reversed the meaning of disease presence.

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Related DSRT 734 resources

• University of the Cumberlands course resources
• DSRT 734 Inferential Statistics in Decision-Making
• DSRT 734 Questions: Inferential Statistics in Decision-Making
• How to Choose an Inferential Statistical Test