holzinger.outlier: Description of holzinger data with 1 outlier

holzinger.outlierR Documentation

Description of holzinger data with 1 outlier

Description

A sample of 100 simulated cases from the infamous Holzinger dataset using 9 variables, but with 1 outlier added to the dataset. The first row was replaced by adding 2 to five of the observed variables (odd-numbered items) and subtracting 2 from the other four observed variables (even-numbered items).

Author(s)

Phil Chalmers rphilip.chalmers@gmail.com

References

Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting Influential Cases in Exploratory and Confirmatory Factor Analysis. Applied Psychological Measurement, 39, 573-574. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0146621615597894")}

Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data screening and assumption testing for exploratory and confirmatory factor analysis. Frontiers in Psychology, 3, 1-21. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3389/fpsyg.2012.00055")}


philchalmers/faoutlier documentation built on Aug. 22, 2023, 8:55 p.m.