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  Subjects -> PSYCHOLOGY (Total: 983 journals)
Showing 1 - 174 of 174 Journals sorted alphabetically
Academic Psychiatry and Psychology Journal : APPJ     Open Access   (Followers: 24)
Acta Colombiana de Psicología     Open Access   (Followers: 5)
Acta Comportamentalia     Open Access   (Followers: 1)
Acta de Investigación Psicológica     Open Access   (Followers: 1)
Acta Psychologica     Hybrid Journal   (Followers: 22)
Activités     Open Access   (Followers: 1)
Actualidades en Psicologia     Open Access   (Followers: 2)
Adaptive Human Behavior and Physiology     Hybrid Journal   (Followers: 6)
Addictive Behaviors Reports     Open Access   (Followers: 8)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 17)
ADHD Report The     Full-text available via subscription   (Followers: 8)
Adolescent Research Review     Hybrid Journal   (Followers: 3)
Advanced Journal of Professional Practice     Open Access   (Followers: 2)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 38)
Advances in Mental Health     Hybrid Journal   (Followers: 82)
Advances in Methods and Practices in Psychological Science     Full-text available via subscription   (Followers: 19)
Advances in Neurodevelopmental Disorders     Hybrid Journal   (Followers: 3)
Advances in Physiotherapy     Hybrid Journal   (Followers: 65)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 31)
Affective Science     Hybrid Journal   (Followers: 3)
African Journal of Cross-Cultural Psychology and Sport Facilitation     Full-text available via subscription   (Followers: 5)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 364)
Aggressive Behavior     Hybrid Journal   (Followers: 16)
Aging Psychology     Open Access   (Followers: 2)
Aging, Neuropsychology, and Cognition     Hybrid Journal   (Followers: 42)
Ajayu Órgano de Difusión Científica del Departamento de Psicología UCBSP     Open Access  
Aletheia     Open Access   (Followers: 1)
American Behavioral Scientist     Hybrid Journal   (Followers: 21)
American Imago     Full-text available via subscription   (Followers: 4)
American Journal of Applied Psychology     Open Access   (Followers: 48)
American Journal of Community Psychology     Hybrid Journal   (Followers: 29)
American Journal of Health Behavior     Full-text available via subscription   (Followers: 23)
American Journal of Orthopsychiatry     Hybrid Journal   (Followers: 6)
American Journal of Psychoanalysis     Hybrid Journal   (Followers: 16)
American Journal of Psychology     Full-text available via subscription   (Followers: 44)
American Psychologist     Full-text available via subscription   (Followers: 190)
An-Nafs : Jurnal Fakultas Psikologi     Open Access  
Anales de Psicología / Annals of Psychology     Open Access   (Followers: 2)
Análise Psicológica     Open Access  
Analitika : Jurnal Magister Psikologi Uma     Open Access  
Analogías del Comportamiento     Open Access  
Analysis     Full-text available via subscription   (Followers: 2)
Annual Review of Clinical Psychology     Full-text available via subscription   (Followers: 84)
Annual Review of Organizational Psychology and Organizational Behavior     Full-text available via subscription   (Followers: 49)
Annual Review of Psychology     Full-text available via subscription   (Followers: 269)
Anuario de investigaciones (Facultad de Psicología. Universidad de Buenos Aires)     Open Access   (Followers: 1)
Anuario de Investigaciones de la Facultad de Psicología     Open Access  
Anuario de Psicología / The UB Journal of Psychology     Open Access   (Followers: 1)
Anuario de Psicología Jurídica     Open Access   (Followers: 1)
Anxiety, Stress & Coping: An International Journal     Hybrid Journal   (Followers: 19)
Applied Cognitive Psychology     Hybrid Journal   (Followers: 66)
Applied Neuropsychology : Adult     Hybrid Journal   (Followers: 47)
Applied Neuropsychology : Child     Hybrid Journal   (Followers: 27)
Applied Psycholinguistics     Hybrid Journal   (Followers: 26)
Applied Psychological Measurement     Hybrid Journal   (Followers: 18)
Applied Psychology     Hybrid Journal   (Followers: 155)
Applied Psychology: Health and Well-Being     Hybrid Journal   (Followers: 57)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 7)
Aprender     Open Access  
Archives of Clinical Neuropsychology     Hybrid Journal   (Followers: 33)
Archives of Depression and Anxiety     Open Access   (Followers: 1)
Archives of Scientific Psychology     Open Access   (Followers: 6)
Archives of Suicide Research     Hybrid Journal   (Followers: 11)
Arquivos Brasileiros de Psicologia     Open Access   (Followers: 1)
Art Therapy Online     Open Access   (Followers: 4)
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 7)
Asia-Pacific Psychiatry     Hybrid Journal   (Followers: 5)
Asian American Journal of Psychology     Full-text available via subscription   (Followers: 7)
Asian Journal of Behavioural Studies     Open Access   (Followers: 3)
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 9)
Assessment     Hybrid Journal   (Followers: 17)
Attachment: New Directions in Psychotherapy and Relational Psychoanalysis     Full-text available via subscription   (Followers: 13)
Attention, Perception & Psychophysics     Full-text available via subscription   (Followers: 15)
Augmented Human Research     Hybrid Journal   (Followers: 1)
Australian and Aotearoa New Zealand Psychodrama Association Journal     Full-text available via subscription   (Followers: 4)
Australian Journal of Psychology     Hybrid Journal   (Followers: 26)
Australian Psychologist     Hybrid Journal   (Followers: 14)
Autism Research     Hybrid Journal   (Followers: 45)
Autism Research and Treatment     Open Access   (Followers: 30)
Autism's Own     Open Access   (Followers: 11)
Avaliação Psicológica     Open Access  
Avances en Psicologia Latinoamericana     Open Access  
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 27)
Balint Journal     Hybrid Journal   (Followers: 3)
Barbaroi     Open Access  
Basic and Applied Social Psychology     Hybrid Journal   (Followers: 39)
Behavior Analysis in Practice     Full-text available via subscription   (Followers: 16)
Behavior Analysis: Research and Practice     Full-text available via subscription   (Followers: 7)
Behavior Analyst     Hybrid Journal   (Followers: 6)
Behavior and Social Issues     Full-text available via subscription   (Followers: 1)
Behavior Modification     Hybrid Journal   (Followers: 13)
Behavior Research Methods     Hybrid Journal   (Followers: 26)
Behavior Therapy     Hybrid Journal   (Followers: 54)
Behavioral Development Bulletin     Full-text available via subscription   (Followers: 1)
Behavioral Disorders     Hybrid Journal   (Followers: 1)
Behavioral Interventions     Hybrid Journal   (Followers: 17)
Behavioral Neuroscience     Full-text available via subscription   (Followers: 63)
Behavioral Sciences & the Law     Hybrid Journal   (Followers: 29)
Behavioral Sleep Medicine     Hybrid Journal   (Followers: 12)
Behaviormetrika     Hybrid Journal  
Behaviour     Hybrid Journal   (Followers: 8)
Behaviour Change     Full-text available via subscription   (Followers: 11)
Behaviour Research and Therapy     Hybrid Journal   (Followers: 22)
Behavioural and Cognitive Psychotherapy     Hybrid Journal   (Followers: 129)
Behavioural Processes     Hybrid Journal   (Followers: 7)
Behavioural Public Policy     Hybrid Journal   (Followers: 3)
Behavioural Sciences Undergraduate Journal     Open Access   (Followers: 2)
Beyond Behavior     Hybrid Journal   (Followers: 2)
BioPsychoSocial Medicine     Open Access   (Followers: 8)
BMC Psychology     Open Access   (Followers: 20)
Body, Movement and Dance in Psychotherapy: An International Journal for Theory, Research and Practice     Hybrid Journal   (Followers: 13)
Boletim Academia Paulista de Psicologia     Open Access  
Boletim de Psicologia     Open Access  
Brain Informatics     Open Access   (Followers: 1)
Brain Science Advances     Open Access  
British Journal of Clinical Psychology     Full-text available via subscription   (Followers: 159)
British Journal of Developmental Psychology     Hybrid Journal   (Followers: 38)
British Journal of Educational Psychology     Hybrid Journal   (Followers: 37)
British Journal of Health Psychology     Hybrid Journal   (Followers: 49)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 18)
British Journal of Psychology     Full-text available via subscription   (Followers: 75)
British Journal of Psychotherapy     Hybrid Journal   (Followers: 70)
British Journal of Social Psychology     Full-text available via subscription   (Followers: 45)
Buletin Psikologi     Open Access  
Cadernos de psicanálise (Rio de Janeiro)     Open Access   (Followers: 1)
Cadernos de Psicologia Social do Trabalho     Open Access   (Followers: 1)
Canadian Art Therapy Association     Hybrid Journal   (Followers: 1)
Canadian Journal of Art Therapy : Research, Practice, and Issues     Hybrid Journal   (Followers: 1)
Canadian Journal of Behavioural Science     Full-text available via subscription   (Followers: 7)
Canadian Journal of Experimental Psychology     Full-text available via subscription   (Followers: 17)
Canadian Psychology / Psychologie canadienne     Full-text available via subscription   (Followers: 11)
Case Studies in Sport and Exercise Psychology     Hybrid Journal   (Followers: 7)
Castalia : Revista de Psicología de la Academia     Open Access  
CASUS : Revista de Investigación y Casos en Salud     Open Access  
Cendekia : Jurnal Kependidikan dan Kemasyarakatan     Open Access  
CES Psicología     Open Access  
Child Development Perspectives     Hybrid Journal   (Followers: 37)
Child Development Research     Open Access   (Followers: 22)
Ciencia Cognitiva     Open Access   (Followers: 1)
Ciencia e Interculturalidad     Open Access   (Followers: 1)
Ciências & Cognição     Open Access  
Ciencias Psicológicas     Open Access  
Clínica y Salud     Open Access  
Clinical Medicine Insights : Psychiatry     Open Access   (Followers: 9)
Clinical Practice & Epidemiology in Mental Health     Open Access   (Followers: 3)
Clinical Practice in Pediatric Psychology     Full-text available via subscription   (Followers: 13)
Clinical Psychological Science     Hybrid Journal   (Followers: 16)
Clinical Psychologist     Hybrid Journal   (Followers: 22)
Clinical Psychology & Psychotherapy     Hybrid Journal   (Followers: 87)
Clinical Psychology and Special Education     Open Access   (Followers: 7)
Clinical Psychology Review     Hybrid Journal   (Followers: 55)
Clinical Psychology: Science and Practice     Hybrid Journal   (Followers: 29)
Clocks & Sleep     Open Access   (Followers: 1)
Coaching : Theorie & Praxis     Open Access   (Followers: 3)
Coaching Psykologi : The Danish Journal of Coaching Psychology     Open Access   (Followers: 3)
Cogent Psychology     Open Access  
Cógito     Open Access  
Cognition & Emotion     Hybrid Journal   (Followers: 43)
Cognitive Behaviour Therapist     Hybrid Journal   (Followers: 12)
Cognitive Behaviour Therapy     Hybrid Journal   (Followers: 20)
Cognitive Neuropsychology     Hybrid Journal   (Followers: 42)
Cognitive Psychology     Hybrid Journal   (Followers: 75)
Cognitive Research : Principles and Implications     Open Access   (Followers: 5)
Community Psychology in Global Perspective     Open Access   (Followers: 1)
Comprehensive Psychoneuroendocrinology     Open Access  
Comprehensive Results in Social Psychology     Hybrid Journal  
Consciousness and Cognition     Hybrid Journal   (Followers: 37)
Construção Psicopedagógica     Open Access  
Consulting Psychology Journal : Practice and Research     Full-text available via subscription   (Followers: 3)
Consumer Psychology Review     Hybrid Journal   (Followers: 3)
Contagion : Journal of Violence, Mimesis, and Culture     Full-text available via subscription   (Followers: 6)
Contemporary Educational Psychology     Hybrid Journal   (Followers: 29)
Contemporary Psychoanalysis     Hybrid Journal   (Followers: 1)
Contemporary School Psychology     Hybrid Journal   (Followers: 6)
Contextos Clínicos     Open Access  
Counseling et spiritualité / Counselling and Spirituality     Full-text available via subscription   (Followers: 1)
Counseling Outcome Research and Evaluation     Hybrid Journal   (Followers: 12)
Counseling Psychologist     Hybrid Journal   (Followers: 17)
Counseling Psychology and Psychotherapy     Open Access   (Followers: 19)
Counselling and Psychotherapy Research : Linking research with practice     Hybrid Journal   (Followers: 23)
Counselling and Values     Hybrid Journal   (Followers: 5)
Counselling Psychology Quarterly     Hybrid Journal   (Followers: 13)
Couple and Family Psychoanalysis     Full-text available via subscription   (Followers: 2)
Couple and Family Psychology : Research and Practice     Full-text available via subscription   (Followers: 9)
Creativity Research Journal     Hybrid Journal   (Followers: 24)
Creativity. Theories ? Research ? Applications     Open Access   (Followers: 6)
Crime Psychology Review     Hybrid Journal   (Followers: 2)
Criminal Justice Ethics     Hybrid Journal   (Followers: 10)
Cuadernos de Marte     Open Access  
Cuadernos de Neuropsicología     Open Access   (Followers: 1)
Cuadernos de Psicologia del Deporte     Open Access  
Cuadernos Hispanoamericanos de Psicología     Open Access  
cultura & psyché : Journal of Cultural Psychology     Hybrid Journal   (Followers: 1)
Cultural Diversity and Ethnic Minority Psychology     Full-text available via subscription   (Followers: 18)
Cultural-Historical Psychology     Open Access   (Followers: 4)
Culture - Society - Education     Open Access   (Followers: 3)
Culture and Brain     Hybrid Journal   (Followers: 6)
Current Addiction Reports     Hybrid Journal   (Followers: 13)
Current Behavioral Neuroscience Reports     Hybrid Journal   (Followers: 4)
Current Directions In Psychological Science     Hybrid Journal   (Followers: 73)

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Similar Journals
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Applied Psychological Measurement
Journal Prestige (SJR): 1.17
Citation Impact (citeScore): 1
Number of Followers: 18  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0146-6216 - ISSN (Online) 1552-3497
Published by Sage Publications Homepage  [1174 journals]
  • Diagnostic Classification Models for a Mixture of Ordered and Non-ordered
           Response Options in Rating Scales

    • Free pre-print version: Loading...

      Authors: Ren Liu, Haiyan Liu, Dexin Shi, Zhehan Jiang
      Abstract: Applied Psychological Measurement, Ahead of Print.
      When developing ordinal rating scales, we may include potentially unordered response options such as “Neither Agree nor Disagree,” “Neutral,” “Don’t Know,” “No Opinion,” or “Hard to Say.” To handle responses to a mixture of ordered and unordered options, Huggins-Manley et al. (2018) proposed a class of semi-ordered models under the unidimensional item response theory framework. This study extends the concept of semi-ordered models into the area of diagnostic classification models. Specifically, we propose a flexible framework of semi-ordered DCMs that accommodates most earlier DCMs and allows for analyzing the relationship between those potentially unordered responses and the measured traits. Results from an operational study and two simulation studies show that the proposed framework can incorporate both ordered and non-ordered responses into the estimation of the latent traits and thus provide useful information about both the items and the respondents.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-24T04:32:34Z
      DOI: 10.1177/01466216221108132
       
  • Two New Models for Item Preknowledge

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      Authors: Kylie Gorney, James A. Wollack
      Abstract: Applied Psychological Measurement, Ahead of Print.
      To evaluate preknowledge detection methods, researchers often conduct simulation studies in which they use models to generate the data. In this article, we propose two new models to represent item preknowledge. Contrary to existing models, we allow the impact of preknowledge to vary across persons and items in order to better represent situations that are encountered in practice. We use three real data sets to evaluate the fit of the new models with respect to two types of preknowledge: items only, and items and the correct answer key. Results show that the two new models provide the best fit compared to several other existing preknowledge models. Furthermore, model parameter estimates were found to vary substantially depending on the type of preknowledge being considered, indicating that answer key disclosure has a profound impact on testing behavior.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-22T05:54:05Z
      DOI: 10.1177/01466216221108130
       
  • Characterizing Sampling Variability for Item Response Theory Scale Scores
           in a Fixed-Parameter Calibrated Projection Design

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      Authors: Shuangshuang Xu, Yang Liu
      Abstract: Applied Psychological Measurement, Ahead of Print.
      A common practice of linking uses estimated item parameters to calculate projected scores. This procedure fails to account for the carry-over sampling variability. Neglecting sampling variability could consequently lead to understated uncertainty for Item Response Theory (IRT) scale scores. To address the issue, we apply a Multiple Imputation (MI) approach to adjust the Posterior Standard Deviations of IRT scale scores. The MI procedure involves drawing multiple sets of plausible values from an approximate sampling distribution of the estimated item parameters. When two scales to be linked were previously calibrated, item parameters can be fixed at their original published scales, and the latent variable means and covariances of the two scales can then be estimated conditional on the fixed item parameters. The conditional estimation procedure is a special case of Restricted Recalibration (RR), in which the asymptotic sampling distribution of estimated parameters follows from the general theory of pseudo Maximum Likelihood (ML) estimation. We evaluate the combination of RR and MI by a simulation study to examine the impact of carry-over sampling variability under various simulation conditions. We also illustrate how to apply the proposed method to real data by revisiting Thissen et al. (2015).
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-21T01:33:47Z
      DOI: 10.1177/01466216221108136
       
  • Item-Fit Statistic Based on Posterior Probabilities of Membership in
           Ability Groups

    • Free pre-print version: Loading...

      Authors: Bartosz Kondratek
      Abstract: Applied Psychological Measurement, Ahead of Print.
      A novel approach to item-fit analysis based on an asymptotic test is proposed. The new test statistic, [math], compares pseudo-observed and expected item mean scores over a set of ability bins. The item mean scores are computed as weighted means with weights based on test-takers’ a posteriori density of ability within the bin. This article explores the properties of [math] in case of dichotomously scored items for unidimensional IRT models. Monte Carlo experiments were conducted to analyze the performance of [math]. Type I error of [math] was acceptably close to the nominal level and it had greater power than Orlando and Thissen’s [math]. Under some conditions, power of [math] also exceeded the one reported for the computationally more demanding Stone’s [math].
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-20T09:29:24Z
      DOI: 10.1177/01466216221108061
       
  • Investigating the Effect of Differential Rapid Guessing on Population
           Invariance in Equating

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      Authors: Jiayi Deng, Joseph A. Rios
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Score equating is an essential tool in improving the fairness of test score interpretations when employing multiple test forms. To ensure that the equating functions used to connect scores from one form to another are valid, they must be invariant across different populations of examinees. Given that equating is used in many low-stakes testing programs, examinees’ test-taking effort should be considered carefully when evaluating population invariance in equating, particularly as the occurrence of rapid guessing (RG) has been found to differ across subgroups. To this end, the current study investigated whether differential RG rates between subgroups can lead to incorrect inferences concerning population invariance in test equating. A simulation was built to generate data for two examinee subgroups (one more motivated than the other) administered two alternative forms of multiple-choice items. The rate of RG and ability characteristics of rapid guessers were manipulated. Results showed that as RG responses increased, false positive and false negative inferences of equating invariance were respectively observed at the lower and upper ends of the observed score scale. This result was supported by an empirical analysis of an international assessment. These findings suggest that RG should be investigated and documented prior to test equating, especially in low-stakes assessment contexts. A failure to do so may lead to incorrect inferences concerning fairness in equating.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-17T05:14:08Z
      DOI: 10.1177/01466216221108991
       
  • Item Response Theory True Score Equating for the Bifactor Model Under the
           Common-Item Nonequivalent Groups Design

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      Authors: Kyung Yong Kim
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Applying item response theory (IRT) true score equating to multidimensional IRT models is not straightforward due to the one-to-many relationship between a true score and latent variables. Under the common-item nonequivalent groups design, the purpose of the current study was to introduce two IRT true score equating procedures that adopted different dimension reduction strategies for the bifactor model. The first procedure, which was referred to as the integration procedure, linked the latent variable scales for the bifactor model and integrated out the specific factors from the item response function of the bifactor model. Then, IRT true score equating was applied to the marginalized bifactor model. The second procedure, which was referred to as the PIRT-based procedure, projected the specific dimensions onto the general dimension to obtain a locally dependent unidimensional IRT (UIRT) model and linked the scales of the UIRT model, followed by the application of IRT true score equating to the locally dependent UIRT model. Equating results obtained with the two equating procedures along with those obtained with the unidimensional three-parameter logistic (3PL) model were compared using both simulated and real data. In general, the integration and PIRT-based procedures provided equating results that were not practically different. Furthermore, the equating results produced by the two bifactor-based procedures became more accurate than the results returned by the 3PL model as tests became more multidimensional.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-17T04:40:08Z
      DOI: 10.1177/01466216221108995
       
  • Termination Criteria for Grid Multiclassification Adaptive Testing With
           Multidimensional Polytomous Items

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      Authors: Zhuoran Wang, Chun Wang, David J Weiss
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Adaptive classification testing (ACT) is a variation of computerized adaptive testing (CAT) that is developed to efficiently classify examinees into multiple groups based on predetermined cutoffs. In multidimensional multiclassification (i.e., more than two categories exist along each dimension), grid classification is proposed to classify each examinee into one of the grids encircled by cutoffs (lines/surfaces) along different dimensions so as to provide clearer information regarding an examinee’s relative standing along each dimension and facilitate subsequent treatment and intervention. In this article, the sequential probability ratio test (SPRT) and confidence interval method were implemented in the grid multiclassification ACT. In addition, two new termination criteria, the grid classification generalized likelihood ratio (GGLR) and simplified grid classification generalized likelihood ratio were proposed for grid multiclassification ACT. Simulation studies, using a simulated item bank, and a real item bank with polytomous multidimensional items, show that grid multiclassification ACT is more efficient than classification based on measurement CAT that focuses on trait estimate precision. In the context of a high-quality bank, GGLR was found to most efficiently terminate the grid multiclassification ACT and classify examinees.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-17T04:27:12Z
      DOI: 10.1177/01466216221108383
       
  • Application of Sampling Variance of Item Response Theory Parameter
           Estimates in Detecting Outliers in Common Item Equating

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      Authors: Chunyan Liu, Daniel Jurich
      Abstract: Applied Psychological Measurement, Ahead of Print.
      In common item equating, the existence of item outliers may impact the accuracy of equating results and bring significant ramifications to the validity of test score interpretations. Therefore, common item equating should involve a screening process to flag outlying items and exclude them from the common item set before equating is conducted. The current simulation study demonstrated that the sampling variance associated with the item response theory (IRT) item parameter estimates can help detect outliers in the common items under the 2-PL and 3-PL IRT models. The results showed the proposed sampling variance statistic (SV) outperformed the traditional displacement method with cutoff values of 0.3 and 0.5 along a variety of evaluation criteria. Based on the favorable results, item outlier detection statistics based on estimated sampling variability warrant further consideration in both research and practice.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-16T04:28:13Z
      DOI: 10.1177/01466216221108122
       
  • Evaluation of the Linear Composite Conjecture for Unidimensional IRT Scale
           for Multidimensional Responses

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      Authors: Tyler Strachan, Uk Hyun Cho, Terry Ackerman, Shyh-Huei Chen, Jimmy de la Torre, Edward H. Ip
      Abstract: Applied Psychological Measurement, Ahead of Print.
      The linear composite direction represents, theoretically, where the unidimensional scale would lie within a multidimensional latent space. Using compensatory multidimensional IRT, the linear composite can be derived from the structure of the items and the latent distribution. The purpose of this study was to evaluate the validity of the linear composite conjecture and examine how well a fitted unidimensional IRT model approximates the linear composite direction in a multidimensional latent space. Simulation experiment results overall show that the fitted unidimensional IRT model sufficiently approximates linear composite direction when correlation between bivariate latent variables is positive. When the correlation between bivariate latent variables is negative, instability occurs when the fitted unidimensional IRT model is used to approximate linear composite direction. A real data experiment was also conducted using 20 items from a multiple-choice mathematics test from American College Testing.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-15T01:11:58Z
      DOI: 10.1177/01466216221084218
       
  • Multistage Testing in Heterogeneous Populations: Some Design and
           Implementation Considerations

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      Authors: Leslie Rutkowski, Yuan-Ling Liaw, Dubravka Svetina, David Rutkowski
      Abstract: Applied Psychological Measurement, Ahead of Print.
      A central challenge in international large-scale assessments is adequately measuring dozens of highly heterogeneous populations, many of which are low performers. To that end, multistage adaptive testing offers one possibility for better assessing across the achievement continuum. This study examines the way that several multistage test design and implementation choices can impact measurement performance in this setting. To attend to gaps in the knowledge base, we extended previous research to include multiple, linked panels, more appropriate estimates of achievement, and multiple populations of varied proficiency. Including achievement distributions from varied populations and associated item parameters, we design and execute a simulation study that mimics an established international assessment. We compare several routing schemes and varied module lengths in terms of item and person parameter recovery. Our findings suggest that, particularly for low performing populations, multistage testing offers precision advantages. Further, findings indicate that equal module lengths—desirable for controlling position effects—and classical routing methods, which lower the technological burden of implementing such a design, produce good results. Finally, probabilistic misrouting offers advantages over merit routing for controlling bias in item and person parameters. Overall, multistage testing shows promise for extending the scope of international assessments. We discuss the importance of our findings for operational work in the international assessment domain.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-14T05:34:29Z
      DOI: 10.1177/01466216221108123
       
  • The Optimal Design of Bifactor Multidimensional Computerized Adaptive
           Testing with Mixed-format Items

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      Authors: Xiuzhen Mao, Jiahui Zhang, Tao Xin
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Multidimensional computerized adaptive testing (MCAT) using mixed-format items holds great potential for the next-generation assessments. Two critical factors in the mixed-format test design (i.e., the order and proportion of polytomous items) and item selection were addressed in the context of mixed-format bifactor MCAT. For item selection, this article presents the derivation of the Fisher information matrix of the bifactor graded response model and the application of the bifactor dimension reduction method to simplify the computation of the mutual information (MI) item selection method. In a simulation study, different MCAT designs were compared with varying proportions of polytomous items (0.2–0.6, 1), different item-delivering formats (DPmix: delivering polytomous items at the final stage; RPmix: random delivering), three bifactor patterns (low, middle, and high), and two item selection methods (Bayesian D-optimality and MI). Simulation results suggested that a) the overall estimation precision increased with a higher bifactor pattern; b) the two item selection methods did not show substantial differences in estimation precision; and c) the RPmix format always led to more precise interim and final estimates than the DPmix format. The proportions of 0.3 and 0.4 were recommended for the RPmix and DPmix formats, respectively.
      Citation: Applied Psychological Measurement
      PubDate: 2022-06-14T01:59:14Z
      DOI: 10.1177/01466216221108382
       
  • Bridging Models of Biometric and Psychometric Assessment: A Three-Way
           Joint Modeling Approach of Item Responses, Response Times, and Gaze
           Fixation Counts

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      Authors: Kaiwen Man, Jeffrey R. Harring, Peida Zhan
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Recently, joint models of item response data and response times have been proposed to better assess and understand test takers’ learning processes. This article demonstrates how biometric information such as gaze fixation counts obtained from an eye-tracking machine can be integrated into the measurement model. The proposed joint modeling framework accommodates the relations among a test taker’s latent ability, working speed and test engagement level via a person-side variance-covariance structure, while simultaneously permitting the modeling of item difficulty, time-intensity, and the engagement intensity through an item-side variance-covariance structure. A Bayesian estimation scheme is used to fit the proposed model to data. Posterior predictive model checking based on three discrepancy measures corresponding to various model components are introduced to assess model-data fit. Findings from a Monte Carlo simulation and results from analyzing experimental data demonstrate the utility of the model.
      Citation: Applied Psychological Measurement
      PubDate: 2022-05-28T04:49:21Z
      DOI: 10.1177/01466216221089344
       
  • Dual-Objective Item Selection Methods in Computerized Adaptive Test Using
           the Higher-Order Cognitive Diagnostic Models

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      Authors: Chongqin Xi, Dongbo Tu, Yan Cai
      Abstract: Applied Psychological Measurement, Ahead of Print.
      To efficiently obtain information about both the general abilities and detailed cognitive profiles of examinees from a single model that uses a single-calibration process, higher-order cognitive diagnostic computerized adaptive testing (CD-CAT) that employ higher-order cognitive diagnostic models have been developed. However, the current item selection methods used in higher-order CD-CAT adaptively select items according to only the attribute profiles, which might lead to low precision regarding general abilities; hence, an appropriate method was proposed for this CAT system in this study. Under the framework of the higher-order models, the responses were affected by attribute profiles, which were governed by general abilities. It is reasonable to hold that the item responses were affected by a combination of general abilities and attribute profiles. Based on the logic of Shannon entropy and the generalized deterministic, inputs, noisy “and” gate (G-DINA) model discrimination index (GDI), two new item selection methods were proposed for higher-order CD-CAT by considering the above combination in this study. The simulation results demonstrated that the new methods achieved more accurate estimations of both general abilities and cognitive profiles than the existing methods and maintained distinct advantages in terms of item pool usage.
      Citation: Applied Psychological Measurement
      PubDate: 2022-05-20T10:26:35Z
      DOI: 10.1177/01466216221089342
       
  • Bayesian Item Response Theory Models With Flexible Generalized Logit Links

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      Authors: Jiwei Zhang, Ying-Ying Zhang, Jian Tao, Ming-Hui Chen
      Abstract: Applied Psychological Measurement, Ahead of Print.
      In educational and psychological research, the logit and probit links are often used to fit the binary item response data. The appropriateness and importance of the choice of links within the item response theory (IRT) framework has not been investigated yet. In this paper, we present a family of IRT models with generalized logit links, which include the traditional logistic and normal ogive models as special cases. This family of models are flexible enough not only to adjust the item characteristic curve tail probability by two shape parameters but also to allow us to fit the same link or different links to different items within the IRT model framework. In addition, the proposed models are implemented in the Stan software to sample from the posterior distributions. Using readily available Stan outputs, the four Bayesian model selection criteria are computed for guiding the choice of the links within the IRT model framework. Extensive simulation studies are conducted to examine the empirical performance of the proposed models and the model fittings in terms of “in-sample” and “out-of-sample” predictions based on the deviance. Finally, a detailed analysis of the real reading assessment data is carried out to illustrate the proposed methodology.
      Citation: Applied Psychological Measurement
      PubDate: 2022-05-20T01:36:37Z
      DOI: 10.1177/01466216221089343
       
  • glca: An R Package for Multiple-Group Latent Class Analysis

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      Authors: Youngsun Kim, Saebom Jeon, Chi Chang, Hwan Chung
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Group similarities and differences may manifest themselves in a variety of ways in multiple-group latent class analysis (LCA). Sometimes, measurement models are identical across groups in LCA. In other situations, the measurement models may differ, suggesting that the latent structure itself is different between groups. Tests of measurement invariance shed light on this distinction. We created an R package glca that implements procedures for exploring differences in latent class structure between populations, taking multilevel data structure into account. The glca package deals with the fixed-effect LCA and the nonparametric random-effect LCA; the former can be applied in the situation where populations are segmented by the observed group variable itself, whereas the latter can be used when there are too many levels in the group variable to make a meaningful group comparisons by identifying a group-level latent variable. The glca package consists of functions for statistical test procedures for exploring group differences in various LCA models considering multilevel data structure.
      Citation: Applied Psychological Measurement
      PubDate: 2022-05-12T06:10:20Z
      DOI: 10.1177/01466216221084197
       
  • Factor Retention Using Machine Learning With Ordinal Data

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      Authors: David Goretzko, Markus Bühner
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Determining the number of factors in exploratory factor analysis is probably the most crucial decision when conducting the analysis as it clearly influences the meaningfulness of the results (i.e., factorial validity). A new method called the Factor Forest that combines data simulation and machine learning has been developed recently. This method based on simulated data reached very high accuracy for multivariate normal data, but it has not yet been tested with ordinal data. Hence, in this simulation study, we evaluated the Factor Forest with ordinal data based on different numbers of categories (2–6 categories) and compared it to common factor retention criteria. It showed higher overall accuracy for all types of ordinal data than all common factor retention criteria that were used for comparison (Parallel Analysis, Comparison Data, the Empirical Kaiser Criterion and the Kaiser Guttman Rule). The results indicate that the Factor Forest is applicable to ordinal data with at least five categories (typical scale in questionnaire research) in the majority of conditions and to binary or ordinal data based on items with less categories when the sample size is large.
      Citation: Applied Psychological Measurement
      PubDate: 2022-05-04T04:55:25Z
      DOI: 10.1177/01466216221089345
       
  • Computerized Adaptive Testing for Ipsative Tests with Multidimensional
           Pairwise-Comparison Items: Algorithm Development and Applications

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      Authors: Xue-Lan Qiu, Jimmy de la Torre, Sage Ro, Wen-Chung Wang
      First page: 255
      Abstract: Applied Psychological Measurement, Ahead of Print.
      A computerized adaptive testing (CAT) solution for tests with multidimensional pairwise-comparison (MPC) items, aiming to measure career interest, value, and personality, is rare. This paper proposes new item selection and exposure control methods for CAT with dichotomous and polytomous MPC items and present simulation study results. The results show that the procedures are effective in selecting items and controlling within-person statement exposure with no loss of efficiency. Implications are discussed in two applications of the proposed CAT procedures: a work attitude test with dichotomous MPC items and a career interest assessment with polytomous MPC items.
      Citation: Applied Psychological Measurement
      PubDate: 2022-04-14T12:51:18Z
      DOI: 10.1177/01466216221084209
       
  • Detecting Examinees With Item Preknowledge on Real Data

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      Authors: Dmitry I. Belov, Sarah L. Toton
      First page: 273
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Recently, Belov & Wollack (2021) developed a method for detecting groups of colluding examinees as cliques in a graph. The objective of this article is to study how the performance of their method on real data with item preknowledge (IP) depends on the mechanism of edge formation governed by a response similarity index (RSI). This study resulted in the development of three new RSIs and demonstrated a remarkable advantage of combining responses and response times for detecting examinees with IP. Possible extensions of this study and recommendations for practitioners were formulated.
      Citation: Applied Psychological Measurement
      PubDate: 2022-04-21T06:43:22Z
      DOI: 10.1177/01466216221084202
       
  • Combining Cognitive Diagnostic Computerized Adaptive Testing With
           Multidimensional Item Response Theory

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      Authors: Hao Luo, Daxun Wang, Zhiming Guo, Yan Cai, Dongbo Tu
      First page: 288
      Abstract: Applied Psychological Measurement, Ahead of Print.
      The new generation of tests not only focuses on the general ability but also the process of finer-grained skills. Under the guidance of this thought, researchers have developed a dual-purpose CD-CAT (Dual-CAT). In the existing Dual-CAT, the models used in overall ability estimation are unidimensional IRT models, which cannot apply to the multidimensional tests. This article intends to develop a multidimensional Dual-CAT to improve its applicability. To achieve this goal, this article firstly proposes some item selection methods for the multidimensional Dual-CAT, and then verifies the estimation accuracy and exposure rate of these methods through both simulation study and a real item bank study. The results show that the established multidimensional Dual-CAT is effective and the new proposed methods outperform the traditional methods. Finally, this article discusses the future direction of the Dual-CAT.
      Citation: Applied Psychological Measurement
      PubDate: 2022-04-19T03:00:38Z
      DOI: 10.1177/01466216221084214
       
  • The Potential for Interpretational Confounding in Cognitive Diagnosis
           Models

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      Authors: Qi (Helen) Huang, Daniel M. Bolt
      First page: 303
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Binary examinee mastery/nonmastery classifications in cognitive diagnosis models may often be an approximation to proficiencies that are better regarded as continuous. Such misspecification can lead to inconsistencies in the operational definition of “mastery” when binary skills models are assumed. In this paper we demonstrate the potential for an interpretational confounding of the latent skills when truly continuous skills are treated as binary. Using the DINA model as an example, we show how such forms of confounding can be observed through item and/or examinee parameter change when (1) different collections of items (such as representing different test forms) previously calibrated separately are subsequently calibrated together; and (2) when structural restrictions are placed on the relationships among skill attributes (such as the assumption of strictly nonnegative growth over time), among other possibilities. We examine these occurrences in both simulation and real data studies. It is suggested that researchers should regularly attend to the potential for interpretational confounding by studying differences in attribute mastery proportions and/or changes in item parameter (e.g., slip and guess) estimates attributable to skill continuity when the same samples of examinees are administered different test forms, or the same test forms are involved in different calibrations.
      Citation: Applied Psychological Measurement
      PubDate: 2022-04-15T07:21:44Z
      DOI: 10.1177/01466216221084207
       
  • A Comparison of Modern and Popular Approaches to Calculating Reliability
           for Dichotomously Scored Items

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      Authors: Sébastien Béland, Carl F. Falk
      First page: 321
      Abstract: Applied Psychological Measurement, Ahead of Print.
      Recent work on reliability coefficients has largely focused on continuous items, including critiques of Cronbach’s alpha. Although two new model-based reliability coefficients have been proposed for dichotomous items (Dimitrov, 2003a,b; Green & Yang, 2009a), these approaches have yet to be compared to each other or other popular estimates of reliability such as omega, alpha, and the greatest lower bound. We seek computational improvements to one of these model-based reliability coefficients and, in addition, conduct initial Monte Carlo simulations to compare coefficients using dichotomous data. Our results suggest that such improvements to the model-based approach are warranted, while model-based approaches were generally superior.
      Citation: Applied Psychological Measurement
      PubDate: 2022-04-14T10:49:30Z
      DOI: 10.1177/01466216221084210
       
  • Impact of Sampling Variability When Estimating the Explained Common
           Variance

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      Authors: Björn Andersson, Hao Luo
      First page: 338
      Abstract: Applied Psychological Measurement, Ahead of Print.

      Citation: Applied Psychological Measurement
      PubDate: 2022-04-15T08:46:49Z
      DOI: 10.1177/01466216221084215
       
 
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