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ONVAR: A simultaneous component analysis approach for disentangling outlying and non-outlying variables

Chemometrics and intelligent laboratory systems, 2021-06, Vol.213, p.104310, Article 104310

2021

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Simultaneous clustering and variable selection: A novel algorithm and model selection procedure

Behavior research methods, 2023-08, Vol.55 (5), p.2157-2174

2023

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Is Valuing Positive Emotion Associated With Life Satisfaction?

Emotion (Washington, D.C.), 2014-08, Vol.14 (4), p.639-645

2014

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Testing for Factor Loading Differences in Mixture Simultaneous Factor Analysis: A Monte Carlo Simulation-Based Perspective

Structural equation modeling, 2021-05, Vol.28 (3), p.391-409

2021

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On the Exploratory Road to Unraveling Factor Loading Non-invariance: A New Multigroup Rotation Approach

Structural equation modeling, 2019-11, Vol.26 (6), p.905-923

2019

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Scale length does matter: Recommendations for measurement invariance testing with categorical factor analysis and item response theory approaches

Behavior research methods, 2022-10, Vol.54 (5), p.2114-2145

2022

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Does Acquiescence Disagree with Measurement Invariance Testing?

Structural equation modeling, 2024-05, Vol.31 (3), p.511-525

2024

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Detecting outlying variables in multigroup data: A comparison of different loading similarity coefficients

Journal of chemometrics, 2021-02, Vol.35 (2), p.n/a

2021

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Detecting which variables alter component interpretation across multiple groups: A resampling-based method

Behavior research methods, 2020-02, Vol.52 (1), p.236-263

2020

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Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis

Educational and psychological measurement, 2023-06, Vol.83 (3), p.433-472

2023

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How to explore within-person and between-person measurement model differences in intensive longitudinal data with the R package lmfa

Behavior research methods, 2023-08, Vol.55 (5), p.2387-2422

2023

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Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach

Multivariate behavioral research, 2023-03, Vol.58 (2), p.262-291

2023

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Subspace K-means clustering

Behavior research methods, 2013-12, Vol.45 (4), p.1011-1023

2013

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How to perform multiblock component analysis in practice

Behavior research methods, 2012-03, Vol.44 (1), p.41-56

2012

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Mixture Simultaneous Factor Analysis for Capturing Differences in Latent Variables Between Higher Level Units of Multilevel Data

Structural equation modeling, 2017-07, Vol.24 (4), p.506-523

2017

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Latent Markov Latent Trait Analysis for Exploring Measurement Model Changes in Intensive Longitudinal Data

Evaluation & the health professions, 2021-03, Vol.44 (1), p.61-76

2021

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Revealing Subgroups That Differ in Common and Distinctive Variation in Multi-Block Data: Clusterwise Sparse Simultaneous Component Analysis

Social science computer review, 2021-10, Vol.39 (5), p.802-820

2021

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Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis

Structural equation modeling, 2021-09, Vol.28 (5), p.663-683

De Roover, Kim

2021

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What's hampering measurement invariance: detecting non-invariant items using clusterwise simultaneous component analysis

Frontiers in psychology, 2014, Vol.5, p.604-604

2014

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Common and cluster-specific simultaneous component analysis

PloS one, 2013-05, Vol.8 (5), p.e62280-e62280

2013

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A clusterwise simultaneous component method for capturing within-cluster differences in component variances and correlations

British journal of mathematical & statistical psychology, 2013-02, Vol.66 (1), p.81-102

2013

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Mixture Multigroup Factor Analysis for Unraveling Factor Loading Noninvariance Across Many Groups

Psychological methods, 2022-06, Vol.27 (3), p.281-306

2022

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Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives

Social science research, 2023-02, Vol.110, p.102805-102805, Article 102805

2023

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Older Adults' Affective Experiences Across 100 Days Are Less Variable and Less Complex Than Younger Adults'

Psychology and aging, 2015-03, Vol.30 (1), p.194-208

2015

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Kernel structure of the combined English, Dutch, and Polish personality type-nouns, with a critical test against a type-noun based structure in Swahili

Journal of research in personality, 2023-10, Vol.106, p.104415, Article 104415

2023

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ONVAR: A simultaneous component analysis approach for disentangling outlying and non-outlying variables

Simultaneous clustering and variable selection: A novel algorithm and model selection procedure

Is Valuing Positive Emotion Associated With Life Satisfaction?

Testing for Factor Loading Differences in Mixture Simultaneous Factor Analysis: A Monte Carlo Simulation-Based Perspective

On the Exploratory Road to Unraveling Factor Loading Non-invariance: A New Multigroup Rotation Approach

Scale length does matter: Recommendations for measurement invariance testing with categorical factor analysis and item response theory approaches

Does Acquiescence Disagree with Measurement Invariance Testing?

Detecting outlying variables in multigroup data: A comparison of different loading similarity coefficients

Detecting which variables alter component interpretation across multiple groups: A resampling-based method

Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis

How to explore within-person and between-person measurement model differences in intensive longitudinal data with the R package lmfa

Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach

Subspace K-means clustering

How to perform multiblock component analysis in practice

Mixture Simultaneous Factor Analysis for Capturing Differences in Latent Variables Between Higher Level Units of Multilevel Data

Latent Markov Latent Trait Analysis for Exploring Measurement Model Changes in Intensive Longitudinal Data

Revealing Subgroups That Differ in Common and Distinctive Variation in Multi-Block Data: Clusterwise Sparse Simultaneous Component Analysis

Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis

What's hampering measurement invariance: detecting non-invariant items using clusterwise simultaneous component analysis

Common and cluster-specific simultaneous component analysis

A clusterwise simultaneous component method for capturing within-cluster differences in component variances and correlations

Mixture Multigroup Factor Analysis for Unraveling Factor Loading Noninvariance Across Many Groups

Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives

Older Adults' Affective Experiences Across 100 Days Are Less Variable and Less Complex Than Younger Adults'

Kernel structure of the combined English, Dutch, and Polish personality type-nouns, with a critical test against a type-noun based structure in Swahili

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