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  Subjects -> PSYCHOLOGY (Total: 1066 journals)
Showing 1 - 174 of 174 Journals sorted alphabetically
Academic Psychiatry and Psychology Journal : APPJ     Open Access   (Followers: 26)
Acción Psicológica     Open Access   (Followers: 5)
Acta Colombiana de Psicología     Open Access   (Followers: 9)
Acta Comportamentalia     Open Access   (Followers: 4)
Acta de Investigación Psicológica     Open Access   (Followers: 2)
Acta Psychologica     Hybrid Journal   (Followers: 29)
Activités     Open Access   (Followers: 1)
Actualidades en Psicologia     Open Access   (Followers: 2)
Adaptive Human Behavior and Physiology     Hybrid Journal   (Followers: 5)
Addictive Behaviors Reports     Open Access   (Followers: 12)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 30)
ADHD Report The     Full-text available via subscription   (Followers: 12)
Adolescent Research Review     Hybrid Journal   (Followers: 6)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 58)
Advances in Mental Health     Hybrid Journal   (Followers: 100)
Advances in Methods and Practices in Psychological Science     Full-text available via subscription   (Followers: 20)
Advances in Neurodevelopmental Disorders     Hybrid Journal   (Followers: 4)
Advances in Physiotherapy     Hybrid Journal   (Followers: 79)
Advances in Psychology     Full-text available via subscription   (Followers: 79)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 40)
Affective Science     Hybrid Journal   (Followers: 3)
African Journal of Cross-Cultural Psychology and Sport Facilitation     Full-text available via subscription   (Followers: 6)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 498)
Aggressive Behavior     Hybrid Journal   (Followers: 23)
Aging Psychology     Open Access   (Followers: 14)
Aging, Neuropsychology, and Cognition     Hybrid Journal   (Followers: 53)
Ágora - studies in psychoanalytic theory     Open Access   (Followers: 5)
Ajayu Órgano de Difusión Científica del Departamento de Psicología UCBSP     Open Access  
Aletheia     Open Access   (Followers: 2)
American Behavioral Scientist     Hybrid Journal   (Followers: 26)
American Imago     Full-text available via subscription   (Followers: 3)
American Journal of Applied Psychology     Open Access   (Followers: 60)
American Journal of Community Psychology     Hybrid Journal   (Followers: 35)
American Journal of Health Behavior     Full-text available via subscription   (Followers: 27)
American Journal of Orthopsychiatry     Hybrid Journal   (Followers: 9)
American Journal of Psychoanalysis     Hybrid Journal   (Followers: 27)
American Journal of Psychology     Full-text available via subscription   (Followers: 51)
American Psychologist     Full-text available via subscription   (Followers: 309)
An-Nafs : Jurnal Fakultas Psikologi     Open Access  
Anales de Psicología / Annals of Psychology     Open Access   (Followers: 2)
Análise Psicológica     Open Access   (Followers: 1)
Análisis y Modificación de Conducta     Open Access   (Followers: 2)
Analitika : Jurnal Magister Psikologi Uma     Open Access  
Analysis     Full-text available via subscription   (Followers: 4)
Annual Review of Clinical Psychology     Full-text available via subscription   (Followers: 99)
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: 366)
Anuario de investigaciones (Facultad de Psicología. Universidad de Buenos Aires)     Open Access   (Followers: 2)
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)
Anuario Pilquen : Sección Divulgación Científica     Open Access  
Anxiety, Stress & Coping: An International Journal     Hybrid Journal   (Followers: 28)
Applied and Preventive Psychology     Hybrid Journal   (Followers: 19)
Applied Cognitive Psychology     Hybrid Journal   (Followers: 82)
Applied Neuropsychology : Adult     Hybrid Journal   (Followers: 52)
Applied Neuropsychology : Child     Hybrid Journal   (Followers: 31)
Applied Psycholinguistics     Hybrid Journal   (Followers: 29)
Applied Psychological Measurement     Hybrid Journal   (Followers: 21)
Applied Psychology     Hybrid Journal   (Followers: 264)
Applied Psychology: Health and Well-Being     Hybrid Journal   (Followers: 65)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8)
Aprender     Open Access  
Archives of Clinical Neuropsychology     Hybrid Journal   (Followers: 36)
Archives of Depression and Anxiety     Open Access   (Followers: 2)
Archives of Scientific Psychology     Open Access   (Followers: 6)
Archives of Suicide Research     Hybrid Journal   (Followers: 12)
Arquivos Brasileiros de Psicologia     Open Access   (Followers: 1)
Art Therapy Online     Open Access   (Followers: 5)
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 11)
Asia-Pacific Psychiatry     Hybrid Journal   (Followers: 5)
Asian American Journal of Psychology     Full-text available via subscription   (Followers: 8)
Asian Journal of Behavioural Studies     Open Access   (Followers: 2)
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 13)
Assessment     Hybrid Journal   (Followers: 19)
Attention, Perception & Psychophysics     Full-text available via subscription   (Followers: 17)
Augmented Human Research     Hybrid Journal   (Followers: 1)
Australasian Journal of Organisational Psychology     Hybrid Journal   (Followers: 10)
Australian and Aotearoa New Zealand Psychodrama Association Journal     Full-text available via subscription   (Followers: 3)
Australian Journal of Psychology     Hybrid Journal   (Followers: 26)
Australian Journal of Rehabilitation Counseling     Full-text available via subscription   (Followers: 7)
Australian Psychologist     Hybrid Journal   (Followers: 15)
Autism Research     Hybrid Journal   (Followers: 61)
Autism Research and Treatment     Open Access   (Followers: 37)
Autism's Own     Open Access   (Followers: 10)
Autism-Open Access     Open Access   (Followers: 10)
Avaliação Psicológica     Open Access  
Avances en Psicologia Latinoamericana     Open Access   (Followers: 1)
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 26)
Balint Journal     Hybrid Journal   (Followers: 3)
Barbaroi     Open Access  
Basic and Applied Social Psychology     Hybrid Journal   (Followers: 47)
Behavior Analysis in Practice     Full-text available via subscription   (Followers: 16)
Behavior Analysis: Research and Practice     Full-text available via subscription   (Followers: 9)
Behavior Analyst     Hybrid Journal   (Followers: 7)
Behavior and Social Issues     Full-text available via subscription   (Followers: 2)
Behavior Modification     Hybrid Journal   (Followers: 14)
Behavior Research Methods     Hybrid Journal   (Followers: 28)
Behavior Therapy     Hybrid Journal   (Followers: 58)
Behavioral Development Bulletin     Full-text available via subscription   (Followers: 1)
Behavioral Disorders     Hybrid Journal   (Followers: 2)
Behavioral Interventions     Hybrid Journal   (Followers: 19)
Behavioral Neuroscience     Full-text available via subscription   (Followers: 68)
Behavioral Sciences & the Law     Hybrid Journal   (Followers: 30)
Behavioral Sleep Medicine     Hybrid Journal   (Followers: 16)
Behaviormetrika     Hybrid Journal  
Behaviour Change     Full-text available via subscription   (Followers: 13)
Behaviour Research and Therapy     Hybrid Journal   (Followers: 23)
Behavioural and Cognitive Psychotherapy     Hybrid Journal   (Followers: 239)
Behavioural Processes     Hybrid Journal   (Followers: 9)
Behavioural Public Policy     Hybrid Journal   (Followers: 10)
Behavioural Sciences Undergraduate Journal     Open Access   (Followers: 6)
Beyond Behavior     Hybrid Journal   (Followers: 2)
Biofeedback     Hybrid Journal   (Followers: 4)
BioPsychoSocial Medicine     Open Access   (Followers: 9)
BMC Psychology     Open Access   (Followers: 22)
Body, Movement and Dance in Psychotherapy: An International Journal for Theory, Research and Practice     Hybrid Journal   (Followers: 15)
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: 236)
British Journal of Developmental Psychology     Hybrid Journal   (Followers: 41)
British Journal of Educational Psychology     Hybrid Journal   (Followers: 45)
British Journal of Health Psychology     Hybrid Journal   (Followers: 53)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 20)
British Journal of Psychology     Full-text available via subscription   (Followers: 77)
British Journal of Psychotherapy     Hybrid Journal   (Followers: 73)
British Journal of Social Psychology     Full-text available via subscription   (Followers: 49)
Buletin Psikologi     Open Access  
Burnout Research     Open Access   (Followers: 11)
Cadernos de psicanálise (Rio de Janeiro)     Open Access   (Followers: 1)
Cadernos de Psicologia Social do Trabalho     Open Access   (Followers: 1)
Cahiers d’Études sur la Représentation     Open Access  
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: 19)
Canadian Psychology / Psychologie canadienne     Full-text available via subscription   (Followers: 14)
Case Studies in Sport and Exercise Psychology     Hybrid Journal   (Followers: 6)
Castalia : Revista de Psicología de la Academia     Open Access  
CASUS : Revista de Investigación y Casos en Salud     Open Access   (Followers: 1)
Cendekia : Jurnal Kependidikan dan Kemasyarakatan     Open Access  
CES Psicología     Open Access  
Child Development Perspectives     Hybrid Journal   (Followers: 41)
Child Development Research     Open Access   (Followers: 25)
Ciencia Cognitiva     Open Access   (Followers: 3)
Ciencia e Interculturalidad     Open Access   (Followers: 2)
Ciências & Cognição     Open Access   (Followers: 1)
Ciencias Psicológicas     Open Access  
Clínica y Salud     Open Access  
Clinical Medicine Insights : Psychiatry     Open Access   (Followers: 10)
Clinical Practice & Epidemiology in Mental Health     Open Access   (Followers: 2)
Clinical Practice in Pediatric Psychology     Full-text available via subscription   (Followers: 14)
Clinical Psychological Science     Hybrid Journal   (Followers: 16)
Clinical Psychologist     Hybrid Journal   (Followers: 21)
Clinical Psychology & Psychotherapy     Hybrid Journal   (Followers: 92)
Clinical Psychology and Special Education     Open Access   (Followers: 8)
Clinical Psychology Review     Hybrid Journal   (Followers: 59)
Clinical Psychology: Science and Practice     Hybrid Journal   (Followers: 29)
Clinical Schizophrenia & Related Psychoses     Full-text available via subscription   (Followers: 12)
Clocks & Sleep     Open Access   (Followers: 2)
Coaching : Theorie & Praxis     Open Access   (Followers: 3)
Coaching Psykologi : The Danish Journal of Coaching Psychology     Open Access   (Followers: 2)
Cogent Psychology     Open Access  
Cógito     Open Access  
Cognition & Emotion     Hybrid Journal   (Followers: 49)
Cognitive Behaviour Therapist     Hybrid Journal   (Followers: 15)
Cognitive Behaviour Therapy     Hybrid Journal   (Followers: 22)
Cognitive Neuropsychology     Hybrid Journal   (Followers: 43)
Cognitive Psychology     Hybrid Journal   (Followers: 88)
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   (Followers: 1)
Consciousness and Cognition     Hybrid Journal   (Followers: 41)
Construção Psicopedagógica     Open Access  
Consulting Psychology Journal : Practice and Research     Full-text available via subscription   (Followers: 4)
Consumer Psychology Review     Hybrid Journal   (Followers: 2)
Contagion : Journal of Violence, Mimesis, and Culture     Full-text available via subscription   (Followers: 7)
Contemporary Educational Psychology     Hybrid Journal   (Followers: 33)
Contemporary Psychoanalysis     Hybrid Journal   (Followers: 2)
Contemporary School Psychology     Hybrid Journal   (Followers: 7)
Contextos Clínicos     Open Access  
Counseling et spiritualité / Counselling and Spirituality     Full-text available via subscription   (Followers: 2)
Counseling Outcome Research and Evaluation     Hybrid Journal   (Followers: 13)
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: 29)
Counselling and Values     Hybrid Journal   (Followers: 7)
Counselling Psychology Quarterly     Hybrid Journal   (Followers: 17)
Couple and Family Psychology : Research and Practice     Full-text available via subscription   (Followers: 9)
Creativity Research Journal     Hybrid Journal   (Followers: 30)
Creativity. Theories ? Research ? Applications     Open Access   (Followers: 9)
Crime Psychology Review     Hybrid Journal   (Followers: 1)
Criminal Justice Ethics     Hybrid Journal   (Followers: 13)
Cuadernos de Marte     Open Access  
Cuadernos de Neuropsicología     Open Access   (Followers: 2)
Cuadernos de Psicologia del Deporte     Open Access  
Cuadernos de Psicopedagogía     Open Access  

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Behaviormetrika
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0385-7417 - ISSN (Online) 1349-6964
Published by Springer-Verlag Homepage  [2658 journals]
  • A confirmatory composite analysis for the Italian validation of the
           interactions anxiousness scale: a higher-order version

    • Free pre-print version: Loading...

      Abstract: Abstract This study examined the factor structure and model specifications of the Interaction Anxiousness Scale (IAS) with confirmatory composite analysis (CCA) using partial least squares-structural equation modeling (PLS-SEM) with a sample of Italian adolescents ( \(n = 764\) ). The CCA and PLS-SEM results identified the reflective nature of the IAS sub-scale scores, supporting an alternative measurement model of the IAS scores as a second-order reflective–reflective model.
      PubDate: 2021-10-02
       
  • Robustness of factor solutions in exploratory factor analysis

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      Abstract: Abstract Replicability has become a highly discussed topic in psychological research. The debates focus mainly on significance testing and confirmatory analyses, whereas exploratory analyses such as exploratory factor analysis are more or less ignored, although hardly any analysis has a comparable impact on entire research areas. Determining the correct number of factors for this analysis is probably the most crucial, yet ambiguous decision—especially since factor structures have often been not replicable. Hence, an approach based on bootstrapping the factor retention process is proposed to evaluate the robustness of factor retention criteria against sampling error and to predict whether a particular factor solution may be replicable. We used three samples of the “Big Five Structure Inventory” and four samples of the “10 Item Big Five Inventory” to illustrate the relationship between stable factor solutions across bootstrap samples and their replicability. In addition, we compared four factor retention criteria and an information criterion in terms of their stability on the one hand and their replicability on the other. Based on this study, we want to encourage researchers to make use of bootstrapping to assess the stability of the factor retention criteria they use and to compare these criteria with regard to this stability as a proxy for possible replicability.
      PubDate: 2021-09-22
       
  • Review of the shadow-test approach to adaptive testing

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      Abstract: Abstract Constrained adaptive testing is reviewed as an instance of discrete maximization with the shadow-test approach delivering its solution. The approach may look counterintuitive in that it assumes sequential assembly of full test forms as its basic operation. But it always produces real-time solutions that are optimal and satisfy the set of specifications in effect for the test. Equally importantly, it can be used to run testing programs with different degrees of adaptation for the same set of specifications and/or as a tool to manage programs with simultaneous processes as adaptive item calibration, time management, and/or item-security monitoring.
      PubDate: 2021-09-12
       
  • Causal order identification to address confounding: binary variables

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      Abstract: Abstract This paper considers an extension of the linear non-Gaussian acyclic model (LiNGAM) that determines the causal order among variables from a dataset when the variables are expressed by a set of linear equations, including noise. In particular, we assume that the variables are binary. The existing LiNGAM assumes that no confounding is present, which is restrictive in practice. Based on the concept of independent component analysis (ICA), this paper proposes an extended framework in which the mutual information among the noises is minimized. Another significant contribution is to reduce the realization to the shortest path problem, in which the distance between each pair of nodes expresses an associated mutual information value, and the path with the minimum sum (KL divergence) is sought. Although p! mutual information values should be compared, this paper dramatically reduces the computation when no confounding is present. The proposed algorithm finds the globally optimal solution, while the existing approaches locally greedily seek the order based on hypothesis testing. We use the best estimator in the sense of Bayes/MDL that correctly detects independence for mutual information estimation. Experiments using artificial and actual data show that the proposed version of LiNGAM achieves significantly better performance, particularly when confounding is present.
      PubDate: 2021-08-22
       
  • TestDesign: an optimal test design approach to constructing fixed and
           adaptive tests in R

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      Abstract: Abstract In recent years, fixed forms and computerized adaptive testing (CAT) forms have coexisted in many testing programs and often used interchangeably on the premise that both testing formats meet the same test specifications. In conventional CAT, however, items are selected through computer algorithms to meet primarily statistical criteria, whereas fixed forms are often created focusing heavily on content, non-statistical, and practical requirements. Founded on the optimal test design framework, the shadow-test approach to CAT and its generalization allows for constructing fixed and adaptive test forms to satisfy the same objective and (possibly complex) set of constraints. This approach can render a variety of testing formats with different levels of adaptation and relative efficiency. This paper provides an overview of the optimal test assembly approach and the development of the TestDesign package in R. Several illustrations from real-world testing scenarios are also presented.
      PubDate: 2021-08-17
       
  • Adaptive test assembly with a mix of set-based and discrete items

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      Abstract: Abstract Adaptive test assembly entails an added layer of complexity when the test is designed with both discrete and set-based items. Among the challenges is how to interweave discrete and set-based items optimally within each adaptive test. The task is further complicated by the requirements for exposure control of both items and item sets, adjusting adaptivity while administering items within item sets, and maintaining optimality given additional complexity. The present study investigates practical solutions for addressing the challenges and proposes new item selection methods within the optimal test design framework.
      PubDate: 2021-08-16
       
  • Special issue: e-testing from artificial intelligence approach

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      PubDate: 2021-07-01
       
  • Correction to: A note on the three methods of item analysis

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      Abstract: In the original publication of the article, Appendix A was published incorrectly.
      PubDate: 2021-07-01
       
  • Introduction to the vol. 48, no. 2, 2021

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      PubDate: 2021-07-01
       
  • Directional nature of Goodman–Kruskal gamma and some consequences:
           identity of Goodman–Kruskal gamma and Somers delta, and their connection
           to Jonckheere–Terpstra test statistic

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      Abstract: Abstract Although usually taken as a symmetric measure, G is shown to be a directional coefficient of association. The direction in G is not related to rows or columns of the cross-table nor the identity of the variables to be a predictor or a criterion variable but, instead, to the number of categories in the scales. Under the conditions where there are no tied pairs in the dataset, G equals Somers’ D so directed that the variable with a wider scale (X) explains the response pattern in the variable with a narrower scale (g), that is, D(g│X). Hence, G = G(g│X) = D(g│X) but G ≠ D(X│g) and G ≠ D(symmetric). If there are tied pairs, the estimates by G = G(g│X) are more liberal in comparison with those by D(g│X). Algebraic relation of G and D with Jonckheere–Terpstra test statistic (JT) is derived. Because of the connection to JT, G = G(g│X) and D = D(g│X) indicate the proportion of logically ordered test-takers in the item after they are ordered by the score. It is strongly recommendable that gamma should not be used as a symmetric measure, and it should be used directionally only when willing to explain the behaviour of a variable with a narrower scale by the variable with a wider scale. This fits well with the measurement modelling settings.
      PubDate: 2021-07-01
       
  • A note on the three methods of item analysis

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      Abstract: Abstract This paper contrasts three methods of item analysis for multiple-choice items based on classical test theory, generalized linear modeling, and item response theory. Illustrations of the methods are presented with contrived and real data. Specifically, the methods, respectively, use a cross-classification table under classical test theory, a new baseline-category logit model under generalized linear modeling, and a multiple-choice model under item response theory. Advantages and disadvantages of each method are discussed.
      PubDate: 2021-07-01
       
  • A methodology to answer to individual queries : finding relevant and
           robust controls

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      Abstract: Abstract In this paper we present the guidelines for an estimation and inference method aimed to answer questions to databases about new potential entries. The idea is to classify the data and find entries similar to that about which the query is posed, and use it to generate control observations as to find the results in terms of them, instead of the entire database. This amounts to a trade-off between robustness and relevance. This allows inferring an adequate answer to a query. While a solution exists, it is not constructive and requires to explore possible alternative definitions of similarity as well as distributions that fit to the selected data. We illustrate these ideas with six cases in which the answer obtains in a linear regression.
      PubDate: 2021-07-01
       
  • e-Testing from artificial intelligence approach

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      Abstract: Abstract This paper presents a review of advanced technologies for e-testing using an artificial intelligence approach. First, this paper introduces state-of-the-art uniform test assembly methods to guarantee examinee test score equivalence even if different examinees with the same ability take different tests. More formally, each uniform test form has equivalent measurement accuracy but with a different set of items. To increase the number of assembled tests, some test assembly methods allow that any two tests of uniform tests can include fewer common items than a user allows as a test constraint. This situation is designated as the overlapping condition. However, these methods used with an overlapping condition are often adversely affected by bias of the item exposure frequency and decreased reliability of items and tests. Second, this paper introduces state-of-the-art uniform test form assembly with a constraint of item exposure. Most earlier studies of e-testing employ item response theory (IRT) to obtain each examinee’s test score. However, IRT has several strict assumptions. Recently, Deep-IRT, which employs deep learning to relax the assumptions, has attracted attention. Finally, this paper introduces Deep-IRT models.
      PubDate: 2021-07-01
       
  • An augmented EM algorithm for monotonic Bayesian networks using
           parameterized conditional probability tables

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      Abstract: Abstract Bayesian networks offer an attractive framework for describing the relationship between latent proficiency variables and observable outcomes. In educational applications, it is useful to restrict the conditional probability tables of the Bayesian network to be monotonic—increasing skill implies a high chance of a good performance. This paper describes the DiBello family of models for Bayesian networks, which enforce monotonicity, and introduces an augmented EM algorithm for estimating the parameters of these models. In a calibration experiment using simulated data, the algorithm did a good job recovering the model parameters and the conditional probability tables with sample sizes as low as 400.
      PubDate: 2021-07-01
       
  • Modeling response granularity with mixture models: A case of severity
           ratings in child maltreatment

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      Abstract: Abstract Heaping, where responses are concentrated in round numbers, such as 5 or 10, is one of the response behaviors observed in surveys. The heaping phenomenon in subjective quantities may be explained by response granularity, which expresses the uncertainty of subjective quantities. We conducted an exploratory study using mixture models with a response granularity assumption, and used the severity ratings of child maltreatment measured by slider scales with numerical feedback as a case of heaped subjective quantity (14,401 records from 487 respondents). The results of the model comparison showed that it was reasonable to assume a response granularity for severity ratings. We classified the respondents into five groups based on the uncertainty of response granularity because individual differences were observed. This study proposes the usefulness of an approach that utilizes mixture models to examine individual response granularity.
      PubDate: 2021-07-01
       
  • Assessing generalizability and variability of single-case design effect
           sizes using two-stage multilevel modeling including moderators

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      Abstract: Abstract This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially recommended for the meta-analyst interested in moving beyond estimating the overall intervention effectiveness. Using this approach, the between-participant variability and between-study variability in intervention effectiveness can be evaluated in addition to obtaining a generalized effect size estimate across studies. This is a timely contribution to the SCED field, as the source(s) of variability in effect size can be identified, and moderators at the corresponding level(s) (participant level and/or study level) can be added to explain the variability. The two-stage multilevel meta-analytic approach, with the inclusion of moderators, can provide evidence-based recommendations about the effectiveness of an intervention taking into account intervention, participant, and study characteristics. First, a conceptual introduction to two-stage multilevel meta-analysis is given to provide a good understanding of its full potentials and modeling options. Second, the usage of this approach will be demonstrated by applying it to a published meta-analytic data set. The goal of this study is to disseminate the two-stage multilevel meta-analysis approach in the hope that SCED meta-analyst will consider this methodology in future meta-analyses.
      PubDate: 2021-07-01
       
  • A multidimensional generalized many-facet Rasch model for rubric-based
           performance assessment

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      Abstract: Abstract Performance assessment, in which human raters assess examinee performance in a practical task, often involves the use of a scoring rubric consisting of multiple evaluation items to increase the objectivity of evaluation. However, even when using a rubric, assigned scores are known to depend on characteristics of the rubric’s evaluation items and the raters, thus decreasing ability measurement accuracy. To resolve this problem, item response theory (IRT) models that can estimate examinee ability while considering the effects of these characteristics have been proposed. These IRT models assume unidimensionality, meaning that a rubric measures one latent ability. In practice, however, this assumption might not be satisfied because a rubric’s evaluation items are often designed to measure multiple sub-abilities that constitute a targeted ability. To address this issue, this study proposes a multidimensional IRT model for rubric-based performance assessment. Specifically, the proposed model is formulated as a multidimensional extension of a generalized many-facet Rasch model. Moreover, a No-U-Turn variant of the Hamiltonian Markov chain Monte Carlo algorithm is adopted as a parameter estimation method for the proposed model. The proposed model is useful not only for improving the ability measurement accuracy, but also for detailed analysis of rubric quality and rubric construct validity. The study demonstrates the effectiveness of the proposed model through simulation experiments and application to real data.
      PubDate: 2021-07-01
       
  • Estimation of odds ratio, attributable risk, relative risk, correlation
           coefficient and other parameters using randomized response techniques

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      Abstract: Abstract In this paper, we first define odds ratio, attributable risk, relative risk, correlation coefficient, membership in at least one group, difference between two proportions, a new estimator of single proportion when the proportion of second sensitive variable is known, while considering investigating two sensitive attributes in real practice. Then we define two estimators in each one of these cases based on simple model or crossed model proposed by Lee et al. (Stat Prob Lett 83(1):399-409, 2013). We derive expressions for biases and variances of the resultant estimators. We investigate the performance of estimators based on the crossed model over those based on the simple model under the same choice of parameters, as discussed in Lee et al. (2013). Also the values of the various statistics such as odds ratio, attributable risk, relative risk, correlation coefficient, membership in one variable and the difference between two proportions are estimated based on a real data set.
      PubDate: 2021-07-01
       
  • A review of deep-neural automated essay scoring models

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      Abstract: Abstract Automated essay scoring (AES) is the task of automatically assigning scores to essays as an alternative to grading by humans. Although traditional AES models typically rely on manually designed features, deep neural network (DNN)-based AES models that obviate the need for feature engineering have recently attracted increased attention. Various DNN-AES models with different characteristics have been proposed over the past few years. To our knowledge, however, no study has provided a comprehensive review of DNN-AES models while introducing each model in detail. Therefore, this review presents a comprehensive survey of DNN-AES models, describing the main idea and detailed architecture of each model. We classify the AES task into four types and introduce existing DNN-AES models according to this classification.
      PubDate: 2021-07-01
       
  • Estimating the optimal treatment regime for student success programs

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      Abstract: Abstract We expand methods for estimating an optimal treatment regime (OTR) from the personalized medicine literature to educational data mining applications. As part of this development, we detail and modify the current state-of-the-art, assess the efficacy of the approaches for student success studies, and provide practitioners the machinery to apply the methods in their specific problems. Our particular interest is to estimate an optimal treatment regime for students enrolled in an introductory statistics course at San Diego State University (SDSU). The available treatments are combinations of three programs SDSU implemented to foster student success in this large enrollment, bottleneck STEM course. We leverage tree-based reinforcement learning approaches based on either an inverse probability-weighted purity measure or an augmented probability-weighted purity measure. The thereby deduced OTR promises to significantly increase the average grade in the introductory course and also reveals the need for program recommendations to students as only very few, on their own, selected their optimal treatment.
      PubDate: 2021-07-01
       
 
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