Results 11 to 20 of about 4,962,612 (408)
Robustness of factor solutions in exploratory factor analysis [PDF]
Behaviormetrika, 2021 AbstractReplicability has become a highly discussed topic in psychological research. The debates focus mainly on significance testing and confirmatory analyses, whereas exploratory analyses such as exploratory factor analysis are more or less ignored, although hardly any analysis has a comparable impact on entire research areas. Determining the correct
David Goretzko, Markus Bühner
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Factor Retention in Exploratory Factor Analysis With Missing Data [PDF]
Educational and Psychological Measurement, 2021 Determining the number of factors in exploratory factor analysis is arguably the most crucial decision a researcher faces when conducting the analysis. While several simulation studies exist that compare various so-called factor retention criteria under different data conditions, little is known about the impact of missing data on this process. Hence,
Goretzko, David
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Exploratory Factor Analysis [PDF]
, 2012 Exploratory factor analysis (EFA) helps establish the bedrock of how neuropsychologists interpret the tests used in their evaluative process. Its principle goal concerns the reification of abstract psychological and neuropsychological concepts. Thus, recall of designs or a lengthy word list materializes to visual and verbal memory, respectively.
Hooper, Daire
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Exploratory Bi-factor Analysis with Multiple General Factors [PDF]
Multivariate Behavioral Research, 2023 Exploratory bi-factor analysis (EBFA) is a very popular approach to estimate models where specific factors are concomitant to a single, general dimension. However, the models typically encountered in fields like personality, intelligence, and psychopathology involve more than one general factor.
Marcos Jiménez +3 more
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Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis [PDF]
arXiv, 2016 Factor analysis aims to determine latent factors, or traits, which summarize a given data set. Inter-battery factor analysis extends this notion to multiple views of the data. In this paper we show how a nonlinear, nonparametric version of these models can be recovered through the Gaussian process latent variable model.
Damianou, Andreas +2 more
arxiv +4 more sources
Statistical concerns, invalid construct validity, and future recommendations
Nursing Practice Today, 2023 The need for accurate measurement of constructs and understanding of diverse phenomena has prompted researchers to investigate the validity and reliability of developed measures in a continuous effort to improve our understanding of their psychometric ...
Hamid Sharif-Nia +5 more
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Challenges and recommendations of exploratory and confirmatory factor analysis: A narrative review from a nursing perspective [PDF]
Journal of Nursing Reports in Clinical Practice, 2023 Factor analysis is a statistical method used to explore the underlying structure of a set of variables. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are two widely used methods in this domain.
Amir Hossein Goudarzian
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Scale on Stress among Parents having only Daughters: Developing a Reliable Measure
Pakistan Armed Forces Medical Journal, 2023 Objective: To develop a reliable scale to measure stress among parents with only daughters. Study Design: Cross-sectional study. Place and Duration of Study: Department of Psychology, University of Gujrat, Gujrat Pakistan, from May to Jul 2019.
Saima Riaz +3 more
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Impact of Investing Characteristics on Financial Performance of Individual Investors: An Exploratory Study [PDF]
IEEE International Conference on Industrial Engineering and
Engineering Management (IEEM), 2019, pp. 654-658, 2023 This exploratory study examines which investing characteristics determine success in an equity market. Based on data from 403 respondents, exploratory factor analysis results in 13 factors: middle/long time horizon, qualitative analyst, open-minded/disciplined, organized, emotional stability, na\"ive, growth stock, concentrated portfolio, contrarian ...
arxiv +1 more source
Psych, 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.
W. Holmes Finch
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