Determining Dimensionality with Dichotomous Variables: A Monte Carlo Simulation Study and Applications to Missing Data in Longitudinal Research
Dichotomous data correspond with various types of commonly encountered data, e.g., positive/negative, case/control, missing/observed, in many fields, including medicine, health, and social sciences. Despite their ubiquity, criteria for determining dimensionality from dichotomous variables are not ye...
Main Authors: | Ting Dai, Adam Davey |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/6/1411 |
Similar Items
-
Proposal of the Dichotomous STATIS DUAL Method: Software and Application for the Analysis of Dichotomous Data, Applied to the Test of Learning Styles in University Students
by: Victoria I. Ballesteros-Espinoza, et al.
Published: (2021-11-01) -
Standardized Principal Components/
by: Singh, Ashbindu, et al. -
Psychometric Properties of the Dichotomous Thinking in Eating Disorders Scale (DTEDS)
by: Masume Bagheri, et al.
Published: (2022-09-01) -
A Comparison of Methods for Determining the Number of Factors to Retain with Exploratory Factor Analysis of Dichotomous Data
by: W. Holmes Finch
Published: (2023-09-01) -
A dichotomous search-based heuristic for the three-dimensional sphere packing problem
by: Mhand Hifi, et al.
Published: (2015-12-01)