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

Author: Grafiati

Published: 22 February 2023

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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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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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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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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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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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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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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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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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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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Koch, Tobias, Martin Schultze, Jana Holtmann, Christian Geiser, and Michael Eid. "A Multimethod Latent State-Trait Model for Structurally Different And Interchangeable Methods." Psychometrika 82, no. 1 (2016): 17–47. http://dx.doi.org/10.1007/s11336-016-9541-x.

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Dumenci, Levent, and Michael Windle. "A multitrait‐multioccasion generalization of the latent trait‐state model: Description and application." Structural Equation Modeling: A Multidisciplinary Journal 5, no. 4 (1998): 391–410. http://dx.doi.org/10.1080/10705519809540114.

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Vongkulluksn, Vanessa W., and Kui Xie. "Multilevel Latent State-Trait Models with Experience Sampling Data: An Illustrative Case of Examining Situational Engagement." Open Education Studies 4, no. 1 (2022): 252–72. http://dx.doi.org/10.1515/edu-2022-0016.

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Abstract Learning processes often occur at a situational level. Changes in learning context have implications on how students are motivated or are able to cognitively process information. To study such situational phenomena, Experience Sampling Method (ESM) can help assess psychological variables in the moment and in context. However, data collected via ESM is voluminous and imbalanced. Special types of statistical modeling are needed to handle this unique data structure in order to maximize its potential for scientific discovery. The purpose of this paper is to illustrate how Latent State-Tra

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Cole, David A., and Nina C. Martin. "The Longitudinal Structure of the Children's Depression Inventory: Testing a Latent Trait-State Model." Psychological Assessment 17, no. 2 (2005): 144–55. http://dx.doi.org/10.1037/1040-3590.17.2.144.

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Windle, Michael, and Levent Dumenci. "An Investigation of Maternal and Adolescent Depressed Mood Using a Latent Trait-State Model." Journal of Research on Adolescence 8, no. 4 (1998): 461–84. http://dx.doi.org/10.1207/s15327795jra0804_3.

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Kirschbaum, C., R. Steyer, M. Eid, U. Patalla, P. Schwenkmezger, and D. H. Hellhammer. "Cortisol and behavior: 2. Application of a Latent state-trait model to salivary cortisol." Psychoneuroendocrinology 15, no. 4 (1990): 297–307. http://dx.doi.org/10.1016/0306-4530(90)90080-s.

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Chaitawittanun, Nonthacha, Duangduen Bhanthumnavin, Duchduen Emma Bhanthumnavin, Kosol Meekun, Narisara Peungposop, and Saran Pimthong. "Psycho-Situational Path Model of Ambidextrous Preparation for Quality Aging in College Students." International Journal for Innovation Education and Research 8, no. 8 (2020): 841–52. http://dx.doi.org/10.31686/ijier.vol8.iss8.2592.

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During the period of old age, everyone wishes to have good quality of living. However, only the ones who have been well-prepared at the younger age could make this wish comes true. This study aims at investigating the psychosocial antecedents of the preparation of quality aging based on ambidextrous approach. Samples were 489 undergraduate students. Path analysis with latent model revealed a good fit. The findings revealed that psychological latent trait (future orientation and self-control, need for achievement, mental health, and core self-evaluation) and situational latent variable (perceiv

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Musci, Rashelle J., Katherine E. Masyn, Kelly Benke, Brion Maher, George Uhl, and Nicholas S. Ialongo. "The effects of the interplay of genetics and early environmental risk on the course of internalizing symptoms from late childhood through adolescence." Development and Psychopathology 28, no. 1 (2015): 225–37. http://dx.doi.org/10.1017/s0954579415000401.

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AbstractInternalizing symptoms during adolescence and beyond is a major public health concern, particularly because severe symptoms can lead to the diagnosis of a number of serious psychiatric conditions. This study utilizes a unique sample with a complex statistical method in order to explore Gene × Environment interactions found in internalizing symptoms during adolescence. Data for this study were drawn from a longitudinal prevention intervention study (n = 798) of Baltimore city school children. Internalizing symptom data were collected using self-report and blood or saliva samples genotyp

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Yasuda, Tomoyuki, Cathy Lawrenz, Rod Van Whitlock, Bernard Lubin, and Pui-Wa Lei. "Assessment of Intraindividual Variability in Positive and Negative Affect Using Latent State-Trait Model Analyses." Educational and Psychological Measurement 64, no. 3 (2004): 514–30. http://dx.doi.org/10.1177/0013164403258445.

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Steyer, Rolf, Anna-Maria Majcen, Peter Schwenkmezger, and Axel Buchner. "A latent state-trait anxiety model and its application to determine consistency and specificity coefficients." Anxiety Research 1, no. 4 (1989): 281–99. http://dx.doi.org/10.1080/08917778908248726.

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Hintz, Fred, Christian Geiser, and Saul Shiffman. "A latent state–trait model for analyzing states, traits, situations, method effects, and their interactions." Journal of Personality 87, no. 3 (2018): 434–54. http://dx.doi.org/10.1111/jopy.12400.

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Jakšić, Damjan, Jovana Trbojević Jocić, Stefan Maričić, and •. Bülent Okan Miçooğulları. "Psychometric properties of a Serbian version of the State-Trait Anxiety Inventory X-2." Exercise and Quality of Life 12, no. 2 (2020): 13–22. http://dx.doi.org/10.31382/eqol.201202.

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Given that anxiety is a significant individual disposition that affects sports performance, this study aimed to verify the latent variables obtained by the State – Trait Anxiety Inventory X-2, and to compare the obtained factor solutions with the proposed model of latent variables. The second aim refers to the presentation of the results of the questionnaire State – Trait Anxiety Inventory X-2 answered by Serbian male and female handball players. The research was conducted on a sample of 170 respondents, 99 male and 71 female handball players, aged 14 to 39 years (average age = 21.9) with an a

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Dumenci, Levent, and Michael Windle. "A Latent Trait-State Model of Adolescent Depression Using the Center for Epidemiologic Studies-Depression Scale." Multivariate Behavioral Research 31, no. 3 (1996): 313–30. http://dx.doi.org/10.1207/s15327906mbr3103_3.

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Zimmermann, Johannes, Axel Mayer, Daniel Leising, Tobias Krieger, Martin grosse Holtforth, and Johanna Pretsch. "Exploring Occasion Specificity in the Assessment of DSM-5 Maladaptive Personality Traits." European Journal of Psychological Assessment 33, no. 1 (2017): 47–54. http://dx.doi.org/10.1027/1015-5759/a000271.

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Abstract. The alternative classification system for personality disorders in DSM-5 features a hierarchical model of maladaptive personality traits. This trait model comprises five broad trait domains and 25 specific trait facets that can be reliably assessed using the Personality Inventory for DSM-5 (PID-5). Although there is a steadily growing literature on the validity of the PID-5, issues of temporal stability and situational influences on test scores are currently unexplored. We addressed these issues using a sample of 611 research participants who completed the PID-5 three times, with tim

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Lee, Eunju and 정익중. "Predictors of Deviant Self-Concept in Adolescence and Gender Differences: Applying a Latent-State Trait Autoregressive Model." Korean Journal of Social Welfare Studies 43, no. 1 (2012): 5–29. http://dx.doi.org/10.16999/kasws.2012.43.1.5.

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Olatunji, Bunmi O., and David A. Cole. "The longitudinal structure of general and specific anxiety dimensions in children: Testing a latent trait–state–occasion model." Psychological Assessment 21, no. 3 (2009): 412–24. http://dx.doi.org/10.1037/a0016206.

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Olatunji, Bunmi O., Rebecca C. Cox, and David A. Cole. "The longitudinal structure of disgust proneness: Testing a latent trait-state model in relation to obsessive-compulsive symptoms." Behaviour Research and Therapy 135 (December 2020): 103749. http://dx.doi.org/10.1016/j.brat.2020.103749.

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Aspilcueta-Borquis, Rúsbel R., Fernando Baldi, Francisco R. Araujo Neto, Lucia G. Albuquerque, Milthon Muñoz-Berrocal, and Humberto Tonhati. "Genetic parameters of total milk yield and factors describing the shape of lactation curve in dairy buffaloes." Journal of Dairy Research 79, no. 1 (2011): 60–65. http://dx.doi.org/10.1017/s0022029911000823.

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The objective of this study was to apply factor analysis to describe lactation curves in dairy buffaloes in order to estimate the phenotypic and genetic association between common latent factors and cumulative milk yield. A total of 31 257 monthly test-day milk yield records from buffaloes belonging to herds located in the state of São Paulo were used to estimate two common latent factors, which were then analysed in a multi-trait animal model for estimating genetic parameters. Estimates of (co)variance components for the two common latent factors and cumulated 270-d milk yield were obtained b

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Feuerstahler, Leah, and Mark Wilson. "Scale Alignment in the Between-Item Multidimensional Partial Credit Model." Applied Psychological Measurement 45, no. 4 (2021): 268–82. http://dx.doi.org/10.1177/01466216211013103.

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In between-item multidimensional item response models, it is often desirable to compare individual latent trait estimates across dimensions. These comparisons are only justified if the model dimensions are scaled relative to each other. Traditionally, this scaling is done using approaches such as standardization—fixing the latent mean and standard deviation to 0 and 1 for all dimensions. However, approaches such as standardization do not guarantee that Rasch model properties hold across dimensions. Specifically, for between-item multidimensional Rasch family models, the unique ordering of item

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Norget, Julia, and Axel Mayer. "Block-Wise Model Fit for Structural Equation Models With Experience Sampling Data." Zeitschrift für Psychologie 230, no. 1 (2022): 47–59. http://dx.doi.org/10.1027/2151-2604/a000482.

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Abstract. Common model fit indices behave poorly in structural equation models for experience sampling data which typically contain many manifest variables. In this article, we propose a block-wise fit assessment for large models as an alternative. The entire model is estimated jointly, and block-wise versions of common fit indices are then determined from smaller blocks of the variance-covariance matrix using simulated degrees of freedom. In a first simulation study, we show that block-wise fit indices, contrary to global fit indices, correctly identify correctly specified latent state-trait

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Subramaniam, M., E. Abdin, J. A. Vaingankar, S. Verma, and S. A. Chong. "Latent structure of psychosis in the general population: results from the Singapore Mental Health Study." Psychological Medicine 44, no. 1 (2013): 51–60. http://dx.doi.org/10.1017/s0033291713000688.

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BackgroundFew studies have examined the latent construct of psychotic symptoms or distinguished between the latent construct and its manifest indicators. The current study aimed to investigate the latent structure of psychotic symptoms using factor mixture modeling (FMM) and to use the best-fitting model to examine its sociodemographic and clinical correlates.MethodThe Singapore Mental Health Study (SMHS) was based on an adult representative sample of the Singapore population. Psychotic symptoms were assessed by using the Psychosis Screen section of the Composite International Diagnostic Inter

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Xiang, Xiaoling, Ruopeng An, and Hyunsung Oh. "The Bidirectional Relationship Between Depressive Symptoms and Homebound Status Among Older Adults." Journals of Gerontology: Series B 75, no. 2 (2018): 357–66. http://dx.doi.org/10.1093/geronb/gbx180.

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Abstract Objectives This study aimed to examine the bidirectional relationship between depressive symptoms and homebound status among older adults. Method The study sample included 7,603 community-dwelling older adults from the National Health and Aging Trends Study. A bivariate latent state-trait model of depressive symptoms and homebound status was estimated via structural equation modeling. Results The model fit the data well (Root Mean Square Error of Approximation = .02, Comparative Fit Index = .97, Standardized Root Mean Square Residual = .06). The relationship between homebound status a

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Blömeke, Sigrid, Jan-Eric Gustafsson, and Richard J. Shavelson. "Beyond Dichotomies." Zeitschrift für Psychologie 223, no. 1 (2015): 3–13. http://dx.doi.org/10.1027/2151-2604/a000194.

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In this paper, the state of research on the assessment of competencies in higher education is reviewed. Fundamental conceptual and methodological issues are clarified by showing that current controversies are built on misleading dichotomies. By systematically sketching conceptual controversies, competing competence definitions are unpacked (analytic/trait vs. holistic/real-world performance) and commonplaces are identified. Disagreements are also highlighted. Similarly, competing statistical approaches to assessing competencies, namely item-response theory (latent trait) versus generalizabilit

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Koch, Tobias, T. M. Ortner, M. Eid, J. Caspers, and M. Schmitt. "Evaluating the Construct Validity of Objective Personality Tests Using a Multitrait-Multimethod-Multioccasion-(MTMM-MO)-Approach." European Journal of Psychological Assessment 30, no. 3 (2014): 208–30. http://dx.doi.org/10.1027/1015-5759/a000212.

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Although Objective Personality Tests (OPTs) have a long history in psychology and the field of psychological assessment, their validity, and reliability have not yet been sufficiently studied. In this study, we examined the convergent and discriminant validity of objective (personality) tests, Implicit Association Tests (IATs), and self-report measures for the assessment of conscientiousness and intelligence. Moreover, the convergent and discriminant validity of these measures was assessed on the trait (stable) and occasion specific (momentary) level by using the multimethod latent state-trait

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Hyafil, Alexandre, and Nicolas Baumard. "Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history." PLOS ONE 17, no. 4 (2022): e0264509. http://dx.doi.org/10.1371/journal.pone.0264509.

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A central question in behavioral and social sciences is understanding to what extent cultural traits are inherited from previous generations, transmitted from adjacent populations or produced in response to changes in socioeconomic and ecological conditions. As quantitative diachronic databases recording the evolution of cultural artifacts over many generations are becoming more common, there is a need for appropriate data-driven methods to approach this question. Here we present a new Bayesian method to infer the dynamics of cultural traits in a diachronic dataset. Our method called Evoked-Tr

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Daches Cohen, Lital, Nachshon Korem, and Orly Rubinsten. "Math Anxiety Is Related to Math Difficulties and Composed of Emotion Regulation and Anxiety Predisposition: A Network Analysis Study." Brain Sciences 11, no. 12 (2021): 1609. http://dx.doi.org/10.3390/brainsci11121609.

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Current evidence suggests emotion regulation is an important factor in both math anxiety and math performance, but the interplay between these constructs is unexamined. Given the multicomponent structure of math anxiety, emotion regulation, and math performance, here, we aimed to provide a comprehensive model of the underlying nature of the links between these latent variables. Using the innovative network analysis approach, the study visualized the underlying links between directly observable and measurable variables that might be masked by traditional statistical approaches. One hundred and

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Blickle, Gerhard. "Convergence of Agents' and Targets' Reports on Intraorganizational Influence Attempts1." European Journal of Psychological Assessment 19, no. 1 (2003): 40–53. http://dx.doi.org/10.1027//1015-5759.19.1.40.

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Summary The object of the current study was to determine the convergent and discriminant validity of agents' and targets' reports on intraorganizational influence attempts with a structural equation model using latent state-trait analyses. To explain agent-target convergence, we linked the theory of formal organizations to Correspondent Inference Theory. Managers (agents) were asked to describe how they try to influence their boss, a coworker, and a subordinate. These targets also described how the agent tries to influence them. Both agents and targets rated four types of influence attempts tw

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Ploubidis, G. B., and S. Frangou. "Neuroticism and psychological distress: To what extent is their association due to person-environment correlation?" European Psychiatry 26, no. 1 (2011): 1–5. http://dx.doi.org/10.1016/j.eurpsy.2009.11.003.

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AbstractObjectiveTo examine to what extent the association between neuroticism and psychological distress is related to individuals’ inherent vulnerability or their tendency to self-select high-risk environments or situations.MethodData was drawn from both waves (1984/1985 and 1991) of the Health and Lifestyle Survey. Psychological distress was evaluated using the 30-item General Health Questionnaire (GHQ-30) and neuroticism was assessed with the Eysenck Personality Inventory. A checklist of life events was completed in the second wave only. A Latent State Trait model was estimated to decompos

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Gnambs, Timo, and Katja Buntins. "The Measurement of Variability and Change in Life Satisfaction." European Journal of Psychological Assessment 33, no. 4 (2017): 224–38. http://dx.doi.org/10.1027/1015-5759/a000414.

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Abstract. In many large-scale surveys, life satisfaction is measured with a single item. Little is known about how sensitive single-item instruments react to changes across time or in the face of critical life events. The present study draws on a Dutch sample of N = 4,034 participants who were administered three different single items and an established multi-item instrument at four annual surveys within 6 years. An indicator-specific latent state-trait growth model was employed to estimate the agreement in change coefficients for the different instruments. The results indicated that single it

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Hoa, Nguyen Le Thai. "The impact of e-retailer personality and website quality on online impulse buying." HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION 11, no. 2 (2021): 97–113. http://dx.doi.org/10.46223/hcmcoujs.econ.en.11.2.1400.2021.

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The development of information technology and the proliferation of e-commerce make online shopping more and more popular. Recent studies indicate that in the modern world, most shoppers purchased products spontaneously and highlighted the necessity of in-depth understanding of impulse buying as an emerging phenomenon in marketing literature. A large number of studies focus on the factors effective on consumers’ impulse buying in brick and mortar retailers but rare research investigate these factors in online environment. There are two key perspectives on the factors effective on impulse buying

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Walsh, Kathleen Marie, Bechara J. Saab, and Norman AS Farb. "Effects of a Mindfulness Meditation App on Subjective Well-Being: Active Randomized Controlled Trial and Experience Sampling Study." JMIR Mental Health 6, no. 1 (2019): e10844. http://dx.doi.org/10.2196/10844.

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Background Mindfulness training (MT) includes a variety of contemplative practices aimed at promoting intentional awareness of experience, coupled with attitudes of nonjudgment and curiosity. Following the success of 8-week, manualized group interventions, MT has been implemented in a variety of modalities, including smartphone apps that seek to replicate the success of group interventions. However, although smartphone apps are scalable and accessible to a wider swath of population, their benefits remain largely untested. Objective This study aimed to investigate a newly developed MT app calle

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Mihic, Ljiljana, Marija Volarov, Milan Oljaca, and Zdenka Novovic. "The depression anxiety and stress Scales-21: Bifactor statistical indices in support of the total and depression scores." Psihologija, no. 00 (2020): 25. http://dx.doi.org/10.2298/psi191227025m.

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This study explored several, latent factor models of the Depression Anxiety and Stress Scales-21 (DASS-21) using both a sample of clinically depressed patients and a Facebook sample from Serbia. The DASS-21, the Beck Depression Inventory-II, and the State Trait Anxiety Inventory-Trait were administered to a sample of depressed individuals (N = 296; Mage = 52.21, SDage = 11.56). A Facebook sample (N = 376; Mage =29.12, SD = 8.96) completed the DASS-21 only. A bifactor model with one general distress (G) and two specific factors (Depression and Anxiety) were supported. The three factors had high

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Ding, Tao, Fatema Hasan, Warren K. Bickel, and Shimei Pan. "Building High Performance Explainable Machine Learning Models for Social Media-based Substance Use Prediction." International Journal on Artificial Intelligence Tools 29, no. 03n04 (2020): 2060009. http://dx.doi.org/10.1142/s021821302060009x.

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Social media contain rich information that can be used to help understand human mind and behavior. Social media data, however, are mostly unstructured (e.g., text and image) and a large number of features may be needed to represent them (e.g., we may need millions of unigrams to represent social media texts). Moreover, accurately assessing human behavior is often difficult (e.g., assessing addiction may require medical diagnosis). As a result, the ground truth data needed to train a supervised human behavior model are often difficult to obtain at a large scale. To avoid overfitting, many state

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Goette, W., A. Carlew, J. Schaffert, H. Rossetti, and L. Lacritz. "A-16 Latent Item Response Theory Regression Using Neuropsychological Tests to Predict Functional Ability." Archives of Clinical Neuropsychology 35, no. 6 (2020): 790. http://dx.doi.org/10.1093/arclin/acaa067.16.

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Abstract Objective Examine prediction of functional ability with neuropsychological tests using latent item response theory. Method The sample included 3155 individuals (Mage = 69.72, SD = 9.41; Median education =13.15, SD = 4.40; white = 92.81%; female = 62.03%; MCI = 25.13%; Dementia = 28.87%) from the Texas Alzheimer’s Research and Care Consortium who completed functional and cognitive assessments [Mini Mental State Examination (MMSE), Logical Memory (LM), Visual Reproduction (VR), Controlled Oral Word Association Test (COWAT), Trail Making Test (TMT), Boston Naming Test, and Digit Span]. F

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Biasi, Valeria, Conny De Vincenzo, Sabrina Fagioli, Mauro Mosca, and Nazarena Patrizi. "Evaluation of Predictive Factors in the Drop-Out Phenomenon: Interaction of Latent Personal Factors and Social-Environmental Context." Journal of Educational and Social Research 9, no. 4 (2019): 92–103. http://dx.doi.org/10.2478/jesr-2019-0059.

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Abstract This correlational study aims to identify the predictive latent factors of academic failure in a sample of university students not yet at risk of dropping out. 80 healthy students of the first academic year, voluntary recruited through the Ongoing Guidance service at “Roma Tre” University (female = 92%; mean age = 19 year, 8 months), took part in the study. They completed a battery of questionnaires using the online platform Limesurvey. We computed correlation coefficients (Pearson r) of the relationship between total drop-out score and the measure of cognitive and affective dimension

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Steyer, Rolf, and Manfred J. Schmitt. "Latent state-trait models in attitude research." Quality and Quantity 24, no. 4 (1990): 427–45. http://dx.doi.org/10.1007/bf00152014.

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Bortolotti, Silvana Ligia Vincenzi, Fernando de Jesus Moreira Junior, Antonio Cezar Bornia, Afonso Farias de Sousa Júnior, and Dalton Francisco de Andrade. "Consumer satisfaction and item response theory: creating a measurement scale." Gestão & Produção 19, no. 2 (2012): 287–302. http://dx.doi.org/10.1590/s0104-530x2012000200005.

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Today, people have increasingly demanded more from the state and enterprises. Consumer satisfaction is not an organizational option, but rather a matter of survival for any institution. The quest for measurement of consumer satisfaction has been ongoing in many areas of research, and researchers have concentrated efforts to demonstrate the psychometric quality of their measurements. However, the techniques employed by these commitments have not kept pace with the advances in psychometric theory and methods. The Item Response Theory (IRT) is an approach used for assessing latent trait. It is co

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Litson, Kaylee, Carly Thornhill, Christian Geiser, G. Leonard Burns, and Mateu Servera. "Applying and Interpreting Mixture Distribution Latent State-Trait Models." Structural Equation Modeling: A Multidisciplinary Journal 26, no. 6 (2019): 931–47. http://dx.doi.org/10.1080/10705511.2019.1575741.

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Loldrup, D., M. Langemark, HJ Hansen, et al. "The validity of the Melancholia Scale (MES) in predicting outcome of antidepressants in chronic idiopathic pain disorders." European Psychiatry 6, no. 3 (1991): 119–25. http://dx.doi.org/10.1017/s0924933800000961.

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SummaryIn patients with chronic idiopathic pain disorders we have analysed the construct validity of the Melancholia Scale as compared to the results with the scale in primary depression. The patients (n= 253) were treated in a placebo controlled trial with either clomipramine or mianserin independently of the Melancholia score. The construct validity of the Melancholia Scale was further analysed by the testing of the intensity model of depression versus anxiety using the Beck Depression Inventory, the Hamilton Anxiety Scale, the Spielberger State-Trait Anxiety Scale, and the Melancholia Scale

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Hoffart, Asle, and Sverre Urnes Johnson. "Latent Trait, Latent-Trait State, and a Network Approach to Mental Problems and Their Mechanisms of Change." Clinical Psychological Science 8, no. 4 (2020): 595–613. http://dx.doi.org/10.1177/2167702620901744.

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In this theoretical study, we examined whether and how a latent trait, a latent-trait state, and a network conceptualization of mental problems account for their descriptive features and causal mechanisms. The latent-trait approach is restricted to between-persons relations and thus provides no direct tests of mechanisms, which involve within-persons relations. The latent-trait-state approach can address within-persons relations, but the assumption of independence between latent constructs is often violated. Moreover, the focus on latent states results only in global clinical recommendations.

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