A simulated item-level dataset for demonstrating axes_reliability(). It
contains 1-7 Likert responses from 500 respondents on 32 items – four items
on each of the eight octant circumplex scales (PA at 90 degrees through
NO at 45 degrees, following octants()). The items were drawn from the
five-component population of Strack, Jacobs, and Grosse Holtforth (2013): a
general factor, two equal circumplex axes (axes variance .18), one shared
scale-specificity component (.10), no block specificity (the instrument is
not blockwise, so that fifth component is zero here), and free item error,
giving an axes reliability of about .78. The data are synthetic – there is no public
raw-data source for the method – and are generated by a seeded script
(data-raw/simulated_items.R).
Format
A data frame with 500 observations and 32 variables named
PA_1–PA_4, BC_1–BC_4, ..., NO_1–NO_4 (four items per octant
scale).
References
Strack, S., Jacobs, K. A., & Grosse Holtforth, M. (2013). The reliability of circumplex axes. SAGE Open, 3(2). doi:10.1177/2158244013486115