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A Comparison of Methods for Determining the Number of Factors to Retain with Exploratory Factor Analysis of Dichotomous Data

open access: yesPsych, 2023
Exploratory factor analysis (EFA) is a very widely used statistical procedure in the social and behavioral sciences. This technique features in validity studies, as well as investigations of latent structure underlying observed measurements.
Holmes Finch
exaly   +3 more sources

Addressing dichotomous data for participants excluded from trial analysis: a guide for systematic reviewers. [PDF]

open access: yesPLoS ONE, 2013
Systematic reviewer authors intending to include all randomized participants in their meta-analyses need to make assumptions about the outcomes of participants with missing data.The objective of this paper is to provide systematic reviewer authors with a
Elie A Akl   +7 more
doaj   +2 more sources

Comparison of methods to handle missing values in a binary index test in a diagnostic accuracy study – a simulation study [PDF]

open access: yesBMC Medical Research Methodology
Background As there are no recommendations on handling missing values in a dichotomous index test of a diagnostic study, researchers often ignore missing values in the analysis or use simple methods.
Dennis Juljugin   +2 more
doaj   +2 more sources

Effect of Dichotomization on the Latent Structure of Data

open access: yesFrontiers in Applied Mathematics and Statistics, 2021
We investigated whether dichotomous data showed the same latent structure as the interval-level data from which they originated. Given constancy of dimensionality and factor loadings reflecting the latent structure of data, the focus was on the variance ...
Karl Schweizer   +2 more
doaj   +1 more source

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

open access: yesMathematics, 2021
The present work analyzed a review of methods for analyzing sequences of matrices or dichotomous data. A new method for a sequence of dichotomous matrices with a different number of rows is presented; the Dichotomous STATIS DUAL.
Victoria I. Ballesteros-Espinoza   +3 more
doaj   +1 more source

Association Between Individual Differences in Dichotomous Thinking and Current and Childhood High-Crime Environments

open access: yesEvolutionary Psychology, 2023
The way people perceive the things around them is closely related to living in a complex and challenging social environment. Dichotomous thinking (preference for dichotomy, dichotomous belief, and profit-and-loss thinking), which classifies things in a ...
Takahiro Mieda   +2 more
doaj   +1 more source

Autistic traits associated with dichotomic thinking mediated by intolerance of uncertainty

open access: yesScientific Reports, 2023
A recent cognitive model suggests that autistic individuals may experience dichotomous thinking patterns mediated by intolerance of uncertainty; however, empirical evidence to support this model is lacking.
Noi Suzuki, Masahiro Hirai
doaj   +1 more source

Detecting Faking on Self-Report Measures Using the Balanced Inventory of Desirable Responding

open access: yesPsych, 2023
We compared three methods for scoring the Balanced Inventory of Desirable Responding (BIDR) to detect faked responses on self-report measures: (1) polytomous, (2) dichotomous emphasizing exaggerating endorsement of socially desirable behaviors, and (3 ...
Walter P. Vispoel   +2 more
doaj   +1 more source

Determining Dimensionality with Dichotomous Variables: A Monte Carlo Simulation Study and Applications to Missing Data in Longitudinal Research

open access: yesMathematics, 2023
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.
Ting Dai, Adam Davey
doaj   +1 more source

A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods

open access: yesScientific Reports, 2023
The problem of missing data, particularly for dichotomous variables, is a common issue in medical research. However, few studies have focused on the imputation methods of dichotomous data and their performance, as well as the applicability of these ...
Yingfeng Ge, Zhiwei Li, Jinxin Zhang
doaj   +1 more source

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