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Relevant bibliographies by topics / Latent state-trait model

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Journal articles

Academic literature on the topic 'Latent state-trait model'

Author: Grafiati

Published: 22 February 2023

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Journal articles on the topic "Latent state-trait model"

1

Hank, Petra. "Beyond An Informal Everyday Concept of Self-Esteem." Journal of Individual Differences 36, no. 4 (2015): 237–46. http://dx.doi.org/10.1027/1614-0001/a000181.

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Abstract. The present study investigated a state-trait model of self-esteem. Analyses focused on determining if the trait of the observables measuring state self-esteem is equivalent to the trait of the observables measuring trait self-esteem. N = 439 college students completed the Multidimensional Scale of Self-Esteem (MSES) on two measurement occasions spaced 10 weeks apart. Structural equation models were used to test latent state-trait measurement models and the relation between the state and trait components of self-esteem. The results suggest that (1) except for physical self-esteem, the

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2

Loncke, Justine, Axel Mayer, Veroni I. Eichelsheim, et al. "Latent State-Trait Models for Longitudinal Family Data." European Journal of Psychological Assessment 33, no. 4 (2017): 256–70. http://dx.doi.org/10.1027/1015-5759/a000415.

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Abstract. Support is key to healthy family functioning. Using the family social relations model (SRM), it has already been shown that variability in perceived support is mostly attributed to individual perceiver effects. Little is known, however, as to whether those effects are stable or occasion-specific. Several methods have been proposed within the structural equation modeling (SEM) framework for the investigation of hypotheses on stable and occasion-specific aspects of such psychological attributes. In this paper, we explore the applicability of different models for determining the consist

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3

Steyer, Rolf, Peter Schwenkmezger, and Angela Auer. "The emotional and cognitive components of trait anxiety: A latent state-trait model." Personality and Individual Differences 11, no. 2 (1990): 125–34. http://dx.doi.org/10.1016/0191-8869(90)90004-b.

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Schmitt, Manfred J., and Rolf Steyer. "A latent state-trait model (not only) for social desirability." Personality and Individual Differences 14, no. 4 (1993): 519–29. http://dx.doi.org/10.1016/0191-8869(93)90144-r.

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5

Eid, Michael, Jana Holtmann, Philip Santangelo, and Ulrich Ebner-Priemer. "On the Definition of Latent-State-Trait Models With Autoregressive Effects." European Journal of Psychological Assessment 33, no. 4 (2017): 285–95. http://dx.doi.org/10.1027/1015-5759/a000435.

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Abstract. In longitudinal studies with short time lags, classical models of latent state-trait (LST) theory that assume no carry-over effects between neighboring occasions of measurement are often inappropriate, and have to be extended by including autoregressive effects. The way in which autoregressive effects should be defined in LST models is still an open question. In a recently published revision of LST theory (LST-R theory), Steyer, Mayer, Geiser, and Cole (2015) stated that the trait-state-occasion (TSO) model ( Cole, Martin, & Steiger, 2005 ), one of the most widely applied LST mod

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6

Lau, Chloe, Francesca Chiesi, and Donald H. Saklofske. "The state-trait model of cheerfulness: Tests of measurement invariance and latent mean differences in European and Chinese Canadian students." Europe’s Journal of Psychology 18, no. 2 (2022): 142–53. http://dx.doi.org/10.5964/ejop.3003.

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The State-Trait Cheerfulness Inventory (STCI) assesses latent traits and states of cheerfulness, seriousness, and bad mood to represent the temperamental basis of humor. The present study (1) tested the generalizability of the three-factor model in both state and trait versions of the STCI across European Canadian (N = 489) and first generation Chinese Canadian (N = 147) participants completing the English version of the STCI and (2) compared latent mean differences. Results indicated the confirmatory factor analyses of the three-factor model for European White participants born in Canada and

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7

Dentale, Francesco, Michele Vecchione, Valerio Ghezzi, and Claudio Barbaranelli. "Applying the Latent State-Trait Analysis to Decompose State, Trait, and Error Components of the Self-Esteem Implicit Association Test." European Journal of Psychological Assessment 35, no. 1 (2019): 78–85. http://dx.doi.org/10.1027/1015-5759/a000378.

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Abstract. In the literature, self-report scales of Self-Esteem (SE) often showed a higher test-retest correlation and a lower situational variability compared to implicit measures. Moreover, several studies showed a close to zero implicit-explicit correlation. Applying a latent state-trait (LST) model on a sample of 95 participants (80 females, mean age: 22.49 ± 6.77 years) assessed at five measurement occasions, the present study aims at decomposing latent trait, latent state residual, and measurement error of the SE Implicit Association Test (SE-IAT). Moreover, in order to compare implicit a

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8

Mayer, Axel. "Causal Effects Based on Latent Variable Models." Methodology 15, Supplement 1 (2019): 15–28. http://dx.doi.org/10.1027/1614-2241/a000174.

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Abstract. Building on the stochastic theory of causal effects and latent state-trait theory, this article shows how a comprehensive analysis of the effects of interventions can be conducted based on latent variable models. The proposed approach offers new ways to evaluate the differential effects of interventions for substantive researchers in experimental and observational studies while allowing for complex measurement models. The key definitions and assumptions of the stochastic theory of causal effects are first introduced and then four statistical models that can be used to estimate variou

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9

Schmitt, Manfred. "Mother-Daughter Attachment and Family Cohesion." European Journal of Psychological Assessment 16, no. 2 (2000): 115–24. http://dx.doi.org/10.1027//1015-5759.16.2.115.

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Summary: This contribution investigates the psychometric properties of two scales for measuring family cohesion and mother-daughter attachment. The scales were administered to 206 adult female subjects on three occasions of measurement 9 months apart. Various single-construct latent state-trait models with and without method factors were tested against the data and compared to each other. The most parsimonious version of a latent state-trait model with method factors was found to fit the data best for both constructs. The parameter estimates of this model reveal (1) that both scales are very r

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10

Crayen, Claudia, Michael Eid, Tanja Lischetzke, and Jeroen K. Vermunt. "A Continuous-Time Mixture Latent-State-Trait Markov Model for Experience Sampling Data." European Journal of Psychological Assessment 33, no. 4 (2017): 296–311. http://dx.doi.org/10.1027/1015-5759/a000418.

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Abstract. In psychological research, statistical models of latent state-trait (LST) theory are popular for the analysis of longitudinal data. We identify several limitations of available models when applied to intensive longitudinal data with categorical observed and latent variables and inter- and intraindividually varying time intervals. As an extension of available LST models for categorical data, we describe a general mixed continuous-time LST model that is suitable for intensive longitudinal data with unobserved heterogeneity and individually varying time intervals. This model is illustra

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