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Instructional statistical analysis text describing a controlled study design and the use of ANCOVA in jamovi to examine differences in viewer recall of Outlander plot details while controlling for knowledge of eighteenth-century Scottish history.
Topic: Statistical analysis of television viewing behaviour and memory recall
Document type: Statistical analysis tutorial / research exercise description
Subject: Viewer recall of plot details in the television series Outlander
Statistical method: Analysis of Covariance (ANCOVA)
Software: jamovi
Independent variable: Episodes Per Sitting
Dependent variable: Recall of Outlander Plot Details
Covariate: Scottish History Knowledge
Sample size: 54 participants
Participant criteria: Individuals who had not previously watched Outlander
Study design: Experimental group comparison with covariate control
Viewing groups: One episode per week; several episodes per sitting across multiple sittings; entire season in one sitting
Measurement scale: Test scores from 0 to 100
Effect size measures: η² and Cohen’s d
Statistical tests: ANCOVA and post hoc pairwise comparisons
Data visualization: Estimated marginal means plot with 95% confidence intervals
Context: Evaluation of whether viewing mode influences retention of complex television plotlines
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Supplementary Tables on Sensitivity Analyses of Dementia Risk by Smoking Status, Pack-Year Exposure, and Covariate Subgroups
Document Type: Supplementary statistical tables
Research Field: Epidemiology; Public Health; Neurology
Topic: Associations between smoking status, smoking dosage (pack-years), and risk of dementia
Health Outcomes Studied: All-cause dementia; Alzheimer’s dementia; vascular dementia
Exposure Variables: Smoking initiation, smoking cessation, sustained smoking, pack-year exposure
Population Size: 1,073,517 non-smokers and multiple smoking status groups
Statistical Measures: Incidence rate per 1000 person-years; hazard ratio with 95% confidence interval
Observation Metric: Person-years of follow-up
Analytical Approach: Sensitivity analysis and subgroup interaction analysis
Adjusted Covariates: Sex; age; low income; alcohol consumption; regular physical activity; body mass index; hearing loss; diabetes mellitus; hypertension; dyslipidemia
Subgroup Factors: Low income; alcohol consumption; physical activity; obesity; hearing loss; diabetes mellitus; hypertension; dyslipidemia
Purpose: Quantitative assessment of how smoking behavior and demographic or health factors relate to dementia incidence
Source Context: Supplementary material accompanying an epidemiological research study
Supplemental Digital Content: Full Covariate Inclusion Rationale and Exploratory Factor Analysis of the CES-D Scale
Document Type: Supplementary research material
Subject Area: Mental health research; HIV; depression measurement; statistical analysis
Research Topic: Associations between oxytocin levels, HIV markers, perceived stress, and depressive symptoms
Analytical Methods: Multivariate linear regression; exploratory factor analysis
Statistical Software: R
R Packages Used: dplyr; knitr; nlme; boot; ggpubr; MASS; car; lm.beta; ltm; corrplot; psych; GPArotation; lavaan; semPlot; LambertW; effects; rstanarm; bayesplot; mediation
Variables Analyzed: Age; education; sex; body mass index (BMI); CD4 cell count
Measurement Instrument: CES-D (Center for Epidemiologic Studies Depression Scale)
Sample Size: 79 participants
Key Biological Marker: Plasma oxytocin levels
Health Condition Context: HIV infection
Statistical Tests Mentioned: Shapiro–Wilk test; Cook’s Distance; variance inflation factor (VIF); correlation coefficients
Factor Model Selected: Five-factor solution for CES-D scale
Factors Identified: Depressed Affect; Positive Affect; Appetite; Cognitive Symptoms; Perceived Failure
Supplementary Tables: Correlation plot between oxytocin levels and HIV/stress markers; exploratory factor analysis loadings for CES-D
Referenced Literature: 14 academic sources in psychiatry, epidemiology, and health research
Topics: ANCOVA Outlander Covariate