檢索結果 - Christian Geiser

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  1. 1
    A comparison of four approaches to account for method effects in latent state–trait analyses.

    A comparison of four approaches to account for method effects in latent state–trait analyses. 由 Christian Geiser, Ginger Lockhart

    出版 2012
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    Artigo
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  2. 2
    First- Versus Second-Order Latent Growth Curve Models: Some Insights From Latent State-Trait Theory

    First- Versus Second-Order Latent Growth Curve Models: Some Insights From Latent State-Trait Theory 由 Christian Geiser, Brian T Keller, Ginger Lockhart

    出版 2013
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  3. 3
    A Theory of States and Traits—Revised

    A Theory of States and Traits—Revised 由 Rolf Steyer, Axel Mayer, Christian Geiser, David A. Cole

    出版 2014
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    Revisão
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  4. 4
    Cross-informant symptoms from CBCL, TRF, and YSR: Trait and method variance in a normative sample of Russian youths.

    Cross-informant symptoms from CBCL, TRF, and YSR: Trait and method variance in a normative sample of Russian youths. 由 Elena L. Grigorenko, Christian Geiser, Helena R. Slobodskaya, David J. Francis

    出版 2010
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  5. 5
    Analyzing latent state-trait and multiple-indicator latent growth curve models as multilevel structural equation models

    Analyzing latent state-trait and multiple-indicator latent growth curve models as multilevel structural equation models 由 Christian Geiser, Jacob Bishop, Ginger Lockhart, Saul Shiffman, Jerry L. Grenard

    出版 2013
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  6. 6
    Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses

    Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses 由 Christian Geiser, Brian T Keller, Ginger Lockhart, Michael Eid, David A. Cole, Tobias Koch

    出版 2014
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  7. 7
    Application of the Bifactor S – 1 Model to Multisource Ratings of ADHD/ODD Symptoms: an Appropriate Bifactor Model for Symptom Ratings

    Application of the Bifactor S – 1 Model to Multisource Ratings of ADHD/ODD Symptoms: an Appropriate Bifactor Model for Symptom Ratings 由 G. Leonard Burns, Christian Geiser, Mateu Servera, Stephen P. Becker, Theodore P. Beauchaine

    出版 2019
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  8. 8
    On the Meaning of the “<i>P</i> Factor” in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(<i>S</i>−1) Perspective

    On the Meaning of the “<i>P</i> Factor” in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(<i>S</i>−1) Perspective 由 Manuel Heinrich, Christian Geiser, Pavle Zagorscak, G. Leonard Burns, Johannes Bohn, Stephen P. Becker, Michael Eid, Theodore P. Beauchaine, Christine Knaevelsrud

    出版 2021
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