In Aaron0696/aaRon: Personal Package of Home-Brewed Functions

# keep this chunk to activate theme
aaRon::use.style()

Setup

Load data and packages.

Scale Descriptions

A table that displays the variable names and their description/content side-by-side. Helps readers to understand the content of the scale and sub-scales.

# datatable()

Univariate Statistics {.tabset}

Item-level information to help identify problematic items.

Distribution

Item-level response distribution, take note of skewed distributions.

Summary Statistics

Item-level descriptive statistics.

# psych::describe()

Correlation Matrix

A good scale should show "triangular"/"square" hotspots of positive correlations.

# corrplot::corrplot()

Cronbach Alphas

Calculate Cronbach Alpha using alpha() from the psych package.

# psych::alpha() %>% aaRon::prettyalpha()

Confirmatory Factor Analysis

Conduct a CFA to assess the factor structure and Unidimensionality using cfa() from the lavaan package. Consider doing one CFA for each subscale and one for the full scale.

# lavaan::cfa() %>% aaRon::prettylavaan()

Correlations With Other Scales

A preliminary look at the validity of the scale. Does it correlate with things that are theoretically related and not correlate with things that are theoretically distant?

Aaron0696/aaRon documentation built on July 27, 2023, 2:05 p.m.