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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]
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
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Comparison of methods to handle missing values in a binary index test in a diagnostic accuracy study – a simulation study [PDF]
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
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Effect of Dichotomization on the Latent Structure of Data
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
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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
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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
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Autistic traits associated with dichotomic thinking mediated by intolerance of uncertainty
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
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Detecting Faking on Self-Report Measures Using the Balanced Inventory of Desirable Responding
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
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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
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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
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