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  Subjects -> PSYCHOLOGY (Total: 983 journals)
Showing 601 - 174 of 174 Journals sorted by number of followers
Nature Human Behaviour     Hybrid Journal   (Followers: 56)
American Journal of Applied Psychology     Open Access   (Followers: 55)
Annual Review of Organizational Psychology and Organizational Behavior     Full-text available via subscription   (Followers: 52)
Frontiers in Behavioral Neuroscience     Open Access   (Followers: 30)
Violence and Gender     Full-text available via subscription   (Followers: 23)
Counseling Psychology and Psychotherapy     Open Access   (Followers: 21)
Behavior Analysis in Practice     Full-text available via subscription   (Followers: 19)
Current Opinion in Psychology     Hybrid Journal   (Followers: 16)
Current Addiction Reports     Hybrid Journal   (Followers: 15)
Sport, Exercise, and Performance Psychology     Full-text available via subscription   (Followers: 15)
Journal of Social and Political Psychology     Open Access   (Followers: 15)
Review Journal of Autism and Developmental Disorders     Hybrid Journal   (Followers: 15)
Journal of Music Therapy     Hybrid Journal   (Followers: 14)
Psychology of Sexual Orientation and Gender Diversity     Full-text available via subscription   (Followers: 14)
Clinical Practice in Pediatric Psychology     Full-text available via subscription   (Followers: 14)
Autism's Own     Open Access   (Followers: 13)
Case Studies in Sport and Exercise Psychology     Hybrid Journal   (Followers: 13)
Journal of Gender-Based Violence     Hybrid Journal   (Followers: 13)
Glossa Psycholinguistics     Open Access   (Followers: 12)
Journal of Experimental Psychology : Animal Learning and Cognition     Full-text available via subscription   (Followers: 11)
Health Psychology Open     Open Access   (Followers: 11)
Clinical Psychology and Special Education     Open Access   (Followers: 10)
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 10)
Couple and Family Psychology : Research and Practice     Full-text available via subscription   (Followers: 10)
Journal of Psychosocial Rehabilitation and Mental Health     Hybrid Journal   (Followers: 10)
Behavior Analysis: Research and Practice     Full-text available via subscription   (Followers: 8)
Music Therapy Perspectives     Hybrid Journal   (Followers: 8)
Addictive Behaviors Reports     Open Access   (Followers: 8)
International Journal of Yoga : Philosophy, Psychology and Parapsychology     Open Access   (Followers: 8)
Psychology of Consciousness : Theory, Research, and Practice     Full-text available via subscription   (Followers: 7)
Evolutionary Behavioral Sciences     Full-text available via subscription   (Followers: 7)
Psychomusicology : Music, Mind, and Brain     Full-text available via subscription   (Followers: 7)
Asian American Journal of Psychology     Full-text available via subscription   (Followers: 7)
Contemporary School Psychology     Hybrid Journal   (Followers: 7)
Qualitative Psychology     Full-text available via subscription   (Followers: 6)
Creativity. Theories ? Research ? Applications     Open Access   (Followers: 6)
Cultural-Historical Psychology     Open Access   (Followers: 6)
Review of Behavioral Economics     Full-text available via subscription   (Followers: 6)
Internet Interventions : The application of information technology in mental and behavioural health     Open Access   (Followers: 6)
Decision     Full-text available via subscription   (Followers: 6)
Behavior Analyst     Hybrid Journal   (Followers: 6)
Neurology, Neuropsychiatry, Psychosomatics     Open Access   (Followers: 6)
Evolutionary Psychological Science     Hybrid Journal   (Followers: 6)
Journal of Behavioral Addictions     Open Access   (Followers: 5)
Journal of Cognitive Historiography     Full-text available via subscription   (Followers: 5)
Journal of Individual Psychology     Full-text available via subscription   (Followers: 5)
Porn Studies     Hybrid Journal   (Followers: 5)
Journal of Social, Behavioral, and Health Sciences     Open Access   (Followers: 5)
OA Autism     Open Access   (Followers: 5)
Social Psychology and Society     Open Access   (Followers: 5)
European Journal of Investigation in Health, Psychology and Education     Open Access   (Followers: 5)
Cognitive Research : Principles and Implications     Open Access   (Followers: 5)
Counselling and Values     Hybrid Journal   (Followers: 5)
Revista Científica Arbitrada de la Fundación MenteClara     Open Access   (Followers: 5)
Archives of Scientific Psychology     Open Access   (Followers: 5)
Drama Therapy Review     Hybrid Journal   (Followers: 4)
Psyke & Logos     Open Access   (Followers: 4)
Current Behavioral Neuroscience Reports     Hybrid Journal   (Followers: 4)
International Journal of Educational and Psychological Researches     Open Access   (Followers: 4)
Policy Insights from the Behavioral and Brain Sciences     Full-text available via subscription   (Followers: 4)
Voices : A World Forum for Music Therapy     Open Access   (Followers: 4)
SUCHT - Zeitschrift für Wissenschaft und Praxis / Journal of Addiction Research and Practice     Hybrid Journal   (Followers: 4)
African Journal of Cross-Cultural Psychology and Sport Facilitation     Full-text available via subscription   (Followers: 4)
Journal of Amateur Sport     Open Access   (Followers: 3)
Psychology and Law     Open Access   (Followers: 3)
Phenomenology and Mind     Open Access   (Followers: 3)
Spirituality in Clinical Practice     Full-text available via subscription   (Followers: 3)
Nigerian Journal of Guidance and Counselling     Full-text available via subscription   (Followers: 2)
Zeitschrift für Neuropsychologie     Hybrid Journal   (Followers: 2)
Lebenswelt : Aesthetics and philosophy of experience     Open Access   (Followers: 2)
Behavioral Development Bulletin     Full-text available via subscription   (Followers: 2)
Research in Psychology and Behavioral Sciences     Open Access   (Followers: 2)
Zeitschrift für Psychiatrie, Psychologie und Psychotherapie     Hybrid Journal   (Followers: 2)
Couple and Family Psychoanalysis     Full-text available via subscription   (Followers: 2)
Multisensory Research     Hybrid Journal   (Followers: 2)
Social Action : The Journal for Social Action in Counseling and Psychology     Free   (Followers: 2)
European Journal of Behavior Analysis     Hybrid Journal   (Followers: 2)
Language and Text     Open Access   (Followers: 2)
Social Inclusion     Open Access   (Followers: 2)
International Review of Social Psychology / Revue Internationale de Psychologie Sociale     Open Access   (Followers: 2)
Journal of Language Aggression and Conflict     Hybrid Journal   (Followers: 2)
Inquiry : Critical Thinking Across the Disciplines     Full-text available via subscription   (Followers: 2)
Journal of Dynamic Decision Making     Open Access   (Followers: 2)
Phenomenology & Practice     Open Access   (Followers: 2)
Sexual Offending : Theory, Research, and Prevention     Open Access   (Followers: 2)
Voices : The Art and Science of Psychotherapy     Full-text available via subscription   (Followers: 1)
Jurnal Psikologi Pendidikan dan Konseling : Jurnal Kajian Psikologi Pendidikan dan Bimbingan Konseling     Open Access   (Followers: 1)
Acta de Investigación Psicológica     Open Access   (Followers: 1)
Psychosomatic Medicine and General Practice     Open Access   (Followers: 1)
Journal of Numerical Cognition     Open Access   (Followers: 1)
Canadian Art Therapy Association     Hybrid Journal   (Followers: 1)
Quantitative Methods for Psychology     Open Access   (Followers: 1)
Wawasan     Open Access   (Followers: 1)
Zeitschrift für Gerontopsychologie und -psychiatrie     Full-text available via subscription   (Followers: 1)
Psicologia e Saber Social     Open Access   (Followers: 1)
Pragmatic Case Studies in Psychotherapy     Open Access   (Followers: 1)
Psychological Science and Education     Open Access   (Followers: 1)
Psychological Science and Education psyedu.ru     Open Access   (Followers: 1)
Activités     Open Access   (Followers: 1)
Journal of Mind and Medical Sciences     Open Access   (Followers: 1)
Journal of Educational, Cultural and Psychological Studies     Open Access   (Followers: 1)
Journal of Addiction & Prevention     Open Access   (Followers: 1)
Russian Psychological Journal     Open Access   (Followers: 1)
Epiphany     Open Access   (Followers: 1)
Neuropsychoanalysis : An Interdisciplinary Journal for Psychoanalysis and the Neurosciences     Hybrid Journal   (Followers: 1)
Zeitschrift für Pädagogische Psychologie     Hybrid Journal   (Followers: 1)
Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie     Hybrid Journal   (Followers: 1)
Canadian Journal of Art Therapy : Research, Practice, and Issues     Hybrid Journal   (Followers: 1)
Tempo Psicanalitico     Open Access   (Followers: 1)
FLEKS : Scandinavian Journal of Intercultural Theory and Practice     Open Access   (Followers: 1)
Undecidable Unconscious : A Journal of Deconstruction and Psychoanalysis     Full-text available via subscription   (Followers: 1)
Brain Informatics     Open Access   (Followers: 1)
Journal of Psychology in Africa     Full-text available via subscription   (Followers: 1)
Revista de Estudios e Investigación en Psicología y Educación     Open Access  
Persona Studies     Open Access  
Indigenous : Jurnal Ilmiah Psikologi     Open Access  
Intuisi : Jurnal Psikologi Ilmiah     Open Access  
Setting     Full-text available via subscription  
Revista de Psicologia     Open Access  
Behaviormetrika     Hybrid Journal  
European Yearbook of the History of Psychology     Full-text available via subscription  
Interacciones. Revista de Avances en Psicología     Open Access  
Psicologia     Open Access  
Journal für Psychoanalyse     Open Access  
Siglo Cero. Revista Española sobre Discapacidad Intelectual     Open Access  
Miscelánea Comillas. Revista de Ciencias Humanas y Sociales     Open Access  
New School Psychology Bulletin     Open Access  
TESTFÓRUM     Open Access  
S : Journal of the Circle for Lacanian Ideology Critique     Open Access  
International Journal of Psychoanalysis and Education     Open Access  
Quaderns de Psicologia     Open Access  
Satir International Journal     Open Access  
Mudanças - Psicologia da Saúde     Open Access  
Journal of Creating Value     Full-text available via subscription  
Tajdida : Jurnal Pemikiran dan Gerakan Muhammadiyah     Open Access  
Estudos Interdisciplinares em Psicologia     Open Access  
Psychologie du Travail et des Organisations     Hybrid Journal  
Cendekia : Jurnal Kependidikan dan Kemasyarakatan     Open Access  
Visnyk of NTUU - Philosophy. Psychology. Pedagogics     Open Access  
Revista Costarricense de Psicología     Open Access  
Informes Psicológicos     Open Access  
Jurnal Psikologi     Open Access  
Zeitschrift für Differentielle und Diagnostische Psychologie     Full-text available via subscription  
Klart språk i Norden     Open Access  
Revista Pequén     Open Access  
Pensando Psicología     Open Access  
Ciencias Psicológicas     Open Access  
Revista de Cultura Teológica     Open Access  
Journal of Modern Foreign Psychology     Open Access  
Experimental Psychology (Russia)     Open Access  
Elpis - Czasopismo Teologiczne Katedry Teologii Prawosławnej Uniwersytetu w Białymstoku     Open Access  
International Journal of Comparative Psychology     Open Access  
Гуманітарний вісник Запорізької державної інженерної академії     Open Access  
Revista Latinoamericana de Psicología     Open Access  
Cogent Psychology     Open Access  
Ajayu Órgano de Difusión Científica del Departamento de Psicología UCBSP     Open Access  
Psicologia     Open Access  
Análise Psicológica     Open Access  
Rivista Internazionale di Filosofia e Psicologia     Open Access  
Facta Universitatis, Series : Philosophy, Sociology, Psychology and History     Open Access  
Universal Journal of Psychology     Open Access  
Revista Internacional de Psicologia     Open Access  
Terapia familiare     Full-text available via subscription  
Studi Junghiani     Full-text available via subscription  
Ruolo Terapeutico (IL)     Full-text available via subscription  
Rivista Sperimentale di Freniatria     Full-text available via subscription  
Rivista di Psicoterapia Relazionale     Full-text available via subscription  
Ricerche di psicologia     Full-text available via subscription  
Ricerca Psicoanalitica : Journal of the Relationship in Psychoanalysis     Open Access  
Quaderni di Gestalt     Full-text available via subscription  
Psicoterapia e Scienze Umane     Full-text available via subscription  
Psicologia di Comunità. Gruppi, ricerca-azione, modelli formativi     Full-text available via subscription  
Psicologia della salute     Full-text available via subscription  
Psicobiettivo     Full-text available via subscription  
Psicoanalisi     Full-text available via subscription  
Ipnosi     Full-text available via subscription  
Interazioni     Full-text available via subscription  
Gruppi     Full-text available via subscription  
Forum : Journal of the International Association of Group Psychoterapy     Full-text available via subscription  
Educazione sentimentale     Full-text available via subscription  
Revista Wímb Lu     Open Access  
International Perspectives in Psychology : Research, Practice, Consultation     Full-text available via subscription  
Lernen und Lernstörungen     Hybrid Journal  
Inkanyiso : Journal of Humanities and Social Sciences     Open Access  
Online Readings in Psychology and Culture     Open Access  
Winnicott e-prints     Open Access  
Trivium : Estudos Interdisciplinares     Open Access  
Temas em Psicologia     Open Access  
Stylus (Rio de Janeiro)     Open Access  
Salud & Sociedad: investigaciones en psicologia de la salud y psicologia social     Open Access  
Revista Psicopedagogia     Open Access  
Revista Psicologia Política     Open Access  
Revista Psicologia e Saúde     Open Access  
Revista Psicologia     Open Access  
Revista Mexicana de Orientación Educativa     Open Access  
Revista do NUFEN     Open Access  
Revista de Etologia     Open Access  
Revista da SPAGESP     Open Access  
Revista da SBPH     Open Access  
Revista da Abordagem Gestáltica     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  [2467 journals]
  • On the boundary problems in diagnostic classification models

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      Abstract: Abstract In diagnostic classification models, parameter estimation sometimes provides estimates that stick to the boundaries of the parameter space, which is called the boundary problem and may lead to extreme values of standard errors. However, the relationship between the boundary problem and irregular standard errors has not been analytically explored. In addition, prior research has not shown how maximum-a-posteriori estimates avoid the boundary problem and affect the standard errors of estimates. To analyze these relationships, the expectation–maximization algorithm for maximum-a-posteriori estimates and a complete data Fisher information matrix are explicitly derived for a mixture formulation of saturated diagnostic classification models. Theoretical considerations show that the emptiness of attribute mastery patterns causes both the boundary problem and the inaccurate standard error estimates. Furthermore, unfortunate boundary problem without emptiness causes shorter standard errors. A simulation study shows that the maximum-a-posteriori method prevents boundary problems. Moreover, this method with monotonicity constraint estimation improves standard error estimates more than unconstrained maximum likelihood estimates do.
      PubDate: 2022-11-30
       
  • The utility of less-common statistical methods for analyzing agricultural
           systems: focus on kernel density estimation, copula modeling and extreme
           value theory

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      Abstract: Abstract A variety of statistical methods have been developed for multivariate analysis of agricultural systems. Some statistical methods are rarely used to study these systems, although they can contribute to issues such as identifying atypical farms, modeling relations among variables and describing farms with common characteristics. To address these issues, we reviewed studies that applied kernel density estimation (KDE), copula modeling and extreme value theory (EVT) to French dairy farm data. KDE helped identify joint value ranges of forage production and milk production or greenhouse gas emissions that most farms in specific French region were likely to have. Copula modeling formalized the shapes of relations among farm characteristics, while EVT distinguished production strategies and management practices of farms that produced extreme amounts of forage. The present study reviews studies that applied these three methods, recommends when to use the latter and discusses their contribution to improving the understanding of dairy farms.
      PubDate: 2022-11-30
       
  • Extension of generalized proportional reduction in variation measure for
           two-way contingency tables

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      Abstract: Abstract For two-way contingency tables, as one measure of the relationship between rows and columns, there is a proportional reduction in variation (PRV) measure that compares the marginal variation to the conditional variation. Various PRV measures have been proposed by varying the method of calculating the variation, and a PRV measure that generalizes these measures has also been proposed. This paper presents an extension of the generalized PRV measure using any function satisfying specific conditions. The proposed measure contains the existing measures as special cases. By virtue of this generalization, we can express the properties of various measures in a unified way.
      PubDate: 2022-10-21
       
  • Bayesian mediation analysis methods to explore racial/ethnic disparities
           in anxiety among cancer survivors

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      Abstract: Abstract Third-variables refer to the middle variables that are positioned in the pathway between an exposure and an outcome variable. Mediation analysis is a statistical approach to identify third variables, and to estimate and test third-variable effects that explain the exposure – outcome association. In this paper, we propose three methods for mediation analysis in Bayesian settings: (1) the function of coefficients method, (2) the product of partial differences method, and (3) the resampling method. The explicit benefit of the Bayesian mediation analysis is that the hierarchical relationships between the exposure variable and third variables, and between third variables and the outcome are naturally built into the Bayesian models. We performed sensitivity analysis to assess the impact of the choice of prior distributions in the three Bayesian inference methods. We found that the proposed methods are robust across a range of priors. Finally, we illustrate the proposed methods using real data from the MY-Health Study to explore racial/ethnic disparities in anxiety among cancer survivors. The results are comparable to those from the Frequentist’s general mediation analysis but request shorter computing time.
      PubDate: 2022-10-15
       
  • Correction: Value expansion and sense making

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      PubDate: 2022-09-28
      DOI: 10.1007/s41237-022-00184-w
       
  • High-dimensional randomization-based inference capitalizing on classical
           design and modern computing

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      Abstract: Abstract A common complication that can arise with analyses of high-dimensional data is the repeated use of hypothesis tests. A second complication, especially with small samples, is the reliance on asymptotic p-values. Our proposed approach for addressing both complications uses a scientifically motivated scalar summary statistic, and although not entirely novel, seems rarely used. The method is illustrated using a crossover study of seventeen participants examining the effect of exposure to ozone versus clean air on the DNA methylome, where the multivariate outcome involved 484,531 genomic locations. Our proposed test yields a single null randomization distribution, and thus a single Fisher-exact p-value that is statistically valid whatever the structure of the data. However, the relevance and power of the resultant test requires the careful a priori selection of a single test statistic. The common practice using asymptotic p-values or meaningless thresholds for “significance” is inapposite in general.
      PubDate: 2022-09-28
      DOI: 10.1007/s41237-022-00183-x
       
  • An algebraic theory of contrasts for Neyman’s modified chi-square
           statistic

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      Abstract: Abstract The use of Pearson’s chi-square goodness of fit statistic is well established in the analysis of contingency tables. This statistic measures the overall discrepancy between observed and expected proportions, thereby indicating the degree of empirical validity of the hypothesis under which the expected proportions are derived. A theory of contrasts that capture parts of Pearson’s global index of fit has been developed, allowing to test specific aspects of the overall discrepancy. This theory, however, has one clear disadvantage when used in multiple comparison settings. In Pearson’s statistic, an hypothesized mean structure (expected proportions) has a direct bearing on its variance-covariance structure, so that once the former is rejected, the latter is also rejected. This is OK if only a single omnibus test is performed, but is problematic in multiple comparison procedures because the tests performed earlier may denounce the variance-covariance structure assumed in later tests. For this reason, Goodman used Neyman’s modified chi-square statistic for his post-hoc tests in contingency tables. In this statistic, mean and variance-covariance structures are separate entities (i.e., they can be specified independently), overcoming the weakness of Pearson’s statistic. This paper develops a theory of contrasts specifically tailored to Neyman’s statistic. Goodman’s method, however, is not entirely trouble free. A simple cure is proposed, making Goodman’s procedure theoretically more rigorous and applicable to wider situations.
      PubDate: 2022-09-13
      DOI: 10.1007/s41237-022-00182-y
       
  • Simple and fast convergent procedure to estimate recursive path analysis
           model

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      Abstract: Abstract BFGS procedure is classically used for the estimation of the parameters of a recursive Path Analysis model. In practice, BFGS does not present any problem of convergence. However, to date, no proof of its convergence is available. The present paper introduces an alternative procedure and establishes its convergence properties. Numerical experiments will be presented, concluding that the proposed alternative seems to converge faster than BFGS procedure.
      PubDate: 2022-09-06
      DOI: 10.1007/s41237-022-00181-z
       
  • Optimal classification methods for diagnosing latent skills and
           misconceptions for option-scored multiple-choice item quizzes

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      Abstract: Abstract The paper’s extended Diagnostic Classification Modeling setting assumes (a) nominal item (question) coding, thus including multiple-choice (MC) items, and (b) skills and especially “misconceptions” attributes (possessed or not) forming the model's latent attribute space, with examinee attribute correct classification rate probability (P(CC)) formulas derived, applicable to all quiz-based diagnostic classification methods. Specific attribute focused and joint all-attributes focused Maximum A Priori and Maximum-Likelihood diagnostic classification procedures are defined and, depending on latent distribution assumptions, proven to optimize marginal attribute specific and joint all-attribute P(CC)s. These optimality results apply both at the quiz level and at the item level. Two new item discrimination indices are defined that monotonically determine optimal ML classification item P(CC)s. The paper’s results provide tools that help address the key educational applications issue of whether MC item quizzes can effectively assess important classroom learning formatively while instruction occurs, time efficiently enough to be a widely used and useful classroom tool.
      PubDate: 2022-08-23
      DOI: 10.1007/s41237-022-00172-0
       
  • A measure of dignified treatment for healthcare workers: design and
           psychometric properties

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      Abstract: Abstract Despite the importance of both user and healthcare worker considerations to the achievement of a comprehensive understanding of dignified care in organizations, most studies in this regard have mainly considered patient aspects. This study aims to address this gap by designing and psychometrically validating a scale of organizational dignified treatment (ODT) toward healthcare workers. The sample consists of 442 healthcare workers from Colombia. We use a psychometric analytics framework comprising six processes that incorporate exploratory factor analysis, structural equation modeling, and machine learning methods. The final ODT scale contains six items and satisfies the requirements for reliability (Cronbach’s alpha, omega total, and composite reliability), goodness-of-fit, convergent and discriminant validity, equity (examining gender, age, education, and socioeconomic stratum using confirmatory factor analysis with control factors, differential item functioning, and satisficing analysis), criterion validity (considering healthcare worker well-being as the criterion), and predictive validity. Moreover, we identify and discuss six essential facets of ODT toward healthcare workers, namely, amiability, explained procedures, enjoyment in the workplace, security in the workplace, understandable information, and voice of healthcare workers.
      PubDate: 2022-08-20
      DOI: 10.1007/s41237-022-00180-0
       
  • Value expansion and sense making

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      Abstract: Abstract The primary purpose of companies is to create value. Companies use competitive analysis to develop their value proposition. Performing this analysis manually is a time-consuming task. Automating the process of identifying and expanding value proposition, as well as categorizing it, would bring benefits for industries. This paper aims to summarize and systematize the results of previous research on a mechanism for automatically identifying companies’ value proposition. This is a novel task and with this work the author hopes to show feasibility and set a baseline. To narrow down the task, air transportation domain was selected. The goal of the research was to obtain insights and systemize values; to achieve it, the author utilized a bottom-up data-driven approach. The first step was to create a corpus of values. 96 respondents conducted a survey with open-end questions; 796 start-ups were identified and 96 annotators labelled start-ups’ landing pages by annotating values. The next step was structuring data for a deeper understanding of values by examining annotations and organizing values into taxonomies. The practical use of the results includes machine learning training material for automation of value-related tasks.
      PubDate: 2022-08-08
      DOI: 10.1007/s41237-022-00179-7
       
  • A dynamic model for ranking-based conjoint analysis with no-choice options

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      Abstract: Abstract In ranking data analysis, it is common for all preference ranks to be obtained in each trial. However, if there is a no-choice option in alternatives such as conjoint profiles, the ranking ends there, and partial ranking data, with a structure that depends on the individuals and trials, in repeated choice tasks are observed. Moreover, in repeated measurements, it is often assumed that the part-worth utilities of each consumer are constant throughout all trials, but preferences may change over the duration of the trials due to the respondents’ fatigue, learning, and experience with the survey. We propose a Bayesian dynamic rank-ordered logit model with no-choice options and apply it to an analysis of data obtained by a ranking-based conjoint for smartphones. The results show that the part-worth utilities differ between the dynamic and static models, and that the part-worth utilities and relative importance of attributes change as trials progress.
      PubDate: 2022-07-26
      DOI: 10.1007/s41237-022-00178-8
       
  • Autonomous adaptive control of manufacturing parameters based on local
           regression modeling

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      Abstract: Abstract The demand for the autonomous adaptive control of manufacturing lines has been growing to realize productivity improvement and carbon neutrality. We propose a methodology to realize the autonomous control of product quality under the existence of effects from non-measurable parameters. By local linear regression modeling with temporal neighborhood data, a single manufacturing parameter is selected by the obtained regression coefficients. Simulation results demonstrated that the straightforward multiple regression modeling often resulted in unstable control behavior with vibrations in product quality. We tested three approaches (scaling the amount of control, introduction of control interval, and semiparametric regression modeling for regression) to cope with the unstable behavior. The semiparametric regression model exhibited the best performance in realizing the stable control by correctly selecting the control target parameter with the additional non-linear term, that compensates the time-dependent non-measurable parameters.
      PubDate: 2022-07-10
      DOI: 10.1007/s41237-022-00176-w
       
  • Instrumental variable estimation of causal effects with applying some
           model selection procedures under binary outcomes

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      Abstract: Abstract In observational studies, unmeasured covariates are an important problem. In the presence of some unmeasured covariates, some instrumental variable methods, such as the two-stage residual inclusion (2SRI) estimator or limited-information maximum likelihood (LIML) estimator, can still obtain an unbiased estimate for causal effects despite the existence of nonlinear models, such as logistic regression and probit models. However, not only a correct outcome model but also a correct treatment model needs to be specified. Therefore, it is important to identify the correct models. In this paper, we consider model selection procedures for 2SRI and LIML, and confirm their properties through simulation and real datasets. Specifically, we confirm the model selection procedures can detect the correct treatment and outcome models, and unbiased causal effects can be estimated. The model selection properties are confirmed through simulation datasets and GENEVA Diabetes Study datasets. From the simulation and data analysis results, we recommend that LIML with any model selection procedures is a good choice when there are binary outcomes and any concerns about unmeasured covariates.
      PubDate: 2022-07-09
      DOI: 10.1007/s41237-022-00177-9
       
  • Attribute continuity in cognitive diagnosis models: impact on parameter
           estimation and its detection

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      Abstract: Abstract Most cognitive diagnosis models assume that skills or attributes are binary latent variables, which greatly simplifies the interpretation of model parameters. However, the assumption may be violated in practice, especially when some attributes are coarser-grained. This study investigates the impact of the violation of this assumption on parameter estimation and whether the violation can be detected empirically. Simulation study showed that when the binary attribute assumption was violated, item parameter estimates were biased but person classification may still be useful unless the conditions were very unfavorable. In addition, the univariate attribute mastery probability plot and a newly proposed uncertainty index may be used for detecting the violation of the binary attribute assumption when items were of moderate or high quality.
      PubDate: 2022-07-08
      DOI: 10.1007/s41237-022-00174-y
       
  • Special issue: shadow-test approach to adaptive testing

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      PubDate: 2022-07-01
      DOI: 10.1007/s41237-022-00175-x
       
  • 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: 2022-07-01
      DOI: 10.1007/s41237-021-00145-9
       
  • 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: 2022-07-01
      DOI: 10.1007/s41237-021-00148-6
       
  • Special issue: Recent developments in causal inference and machine
           learning

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      PubDate: 2022-06-21
      DOI: 10.1007/s41237-022-00173-z
       
  • I-RCD: an improved algorithm of repetitive causal discovery from data with
           latent confounders

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      Abstract: Abstract Discovering causal relationships from data affected by latent confounders is an important and difficult task. Until recently, approaches based on causal function models have not been used to present variable pairs whose relationships are affected by latent confounders, although some constraint-based methods are possible. Recently, a method based on causal function models called repetitive causal discovery (RCD), which infers causal relationships under the assumption that latent confounders exist, has been proposed. However, it has been pointed out that there are causal models RCD cannot identify. This problem is caused by the part of the RCD algorithm that extracts the set of ancestors of each observed variable. In this paper, we investigate the modifications to the RCD algorithm and propose an improved algorithm of RCD which we call improved RCD (I-RCD).The RCD algorithm removes the influence of the common ancestors of two variables from them when inferring the causal relationship between them, whereas the I-RCD removes the influence of the all ancestors of each variable from both variables respectively. The experimental results show that I-RCD accurately infers variable pairs with the same unobserved common causes and identify the direct causal relationships between observed variables compared to RCD.
      PubDate: 2022-06-04
      DOI: 10.1007/s41237-022-00160-4
       
 
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