Skip to contents

Process reliability and Generalizability Theory

035-process-reliability.Rd

Process reliability and Generalizability Theory. These functions form the eyeprocess 0.6.0.9000 measurement-intelligence programme and use dependency-free reference implementations with explicit evidence limits.

Usage

fit_process_gstudy(x, metric, facets = c("person", "item", "session", "device"),
  design = c("crossed", "nested"))
process_variance_components(x)
design_process_dstudy(gstudy, persons = NULL, items = seq(5, 50, 5), sessions = 1:5,
  devices = 1)
audit_process_reliability(x, metrics, method = c("icc", "gtheory", "split_half",
  "bootstrap"), person_col = "person_id", item_col = "item_id", draws = 250)
plot_variance_components(x, ...)
plot_dependability_surface(x, ...)
plot_reliability_by_metric(x, ...)
plot_session_stability(x, ...)
plot_item_sampling_reliability(x, ...)

Arguments

x

Input object or data structure appropriate for the selected analysis.

metric

Argument controlling `metric`; see the function usage and returned audit metadata.

facets

Argument controlling `facets`; see the function usage and returned audit metadata.

design

Argument controlling `design`; see the function usage and returned audit metadata.

gstudy

Argument controlling `gstudy`; see the function usage and returned audit metadata.

persons

Argument controlling `persons`; see the function usage and returned audit metadata.

items

Argument controlling `items`; see the function usage and returned audit metadata.

sessions

Argument controlling `sessions`; see the function usage and returned audit metadata.

devices

Argument controlling `devices`; see the function usage and returned audit metadata.

metrics

Argument controlling `metrics`; see the function usage and returned audit metadata.

method

Argument controlling `method`; see the function usage and returned audit metadata.

person_col

Argument controlling `person_col`; see the function usage and returned audit metadata.

item_col

Argument controlling `item_col`; see the function usage and returned audit metadata.

draws

Argument controlling `draws`; see the function usage and returned audit metadata.

...

Additional arguments passed to the underlying method or plotting function.

Details

The APIs return auditable S3 objects. Plot wrappers call registered base-graphics methods. Experimental or approximate engines are labelled in object status fields and should be validated before confirmatory or operational use.

Value

An eyeprocess result object, data frame, model object, plot, or audit table as documented by the individual function.

See also

plot_diagnostics(), plot_evidence(), and plot_sensitivity().