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  Subjects -> PSYCHOLOGY (Total: 918 journals)
Showing 1 - 174 of 174 Journals sorted alphabetically
Acción Psicológica     Open Access   (Followers: 3)
Acta Colombiana de Psicología     Open Access   (Followers: 5)
Acta Comportamentalia     Open Access   (Followers: 3)
Acta de Investigación Psicológica     Open Access   (Followers: 3)
Acta Psychologica     Hybrid Journal   (Followers: 25)
Activités     Open Access   (Followers: 1)
Actualidades en Psicologia     Open Access   (Followers: 2)
Ad verba Liberorum : Journal of Linguistics & Pedagogy & Psychology     Open Access   (Followers: 9)
Addictive Behaviors Reports     Open Access   (Followers: 7)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 23)
ADHD Report The     Full-text available via subscription   (Followers: 9)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 46)
Advances in Mental Health     Hybrid Journal   (Followers: 77)
Advances in Methods and Practices in Psychological Science     Full-text available via subscription   (Followers: 3)
Advances in Physiotherapy     Hybrid Journal   (Followers: 60)
Advances in Psychology     Full-text available via subscription   (Followers: 64)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 31)
African Journal of Cross-Cultural Psychology and Sport Facilitation     Full-text available via subscription   (Followers: 5)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 444)
Aggressive Behavior     Hybrid Journal   (Followers: 17)
Aging, Neuropsychology, and Cognition     Hybrid Journal   (Followers: 40)
Ágora - studies in psychoanalytic theory     Open Access   (Followers: 3)
Aletheia     Open Access   (Followers: 1)
American Behavioral Scientist     Hybrid Journal   (Followers: 18)
American Imago     Full-text available via subscription   (Followers: 3)
American Journal of Applied Psychology     Open Access   (Followers: 42)
American Journal of Community Psychology     Hybrid Journal   (Followers: 26)
American Journal of Health Behavior     Full-text available via subscription   (Followers: 24)
American Journal of Orthopsychiatry     Hybrid Journal   (Followers: 5)
American Journal of Psychoanalysis     Hybrid Journal   (Followers: 22)
American Psychologist     Full-text available via subscription   (Followers: 204)
Anales de Psicología     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: 72)
Annual Review of Organizational Psychology and Organizational Behavior     Full-text available via subscription   (Followers: 33)
Annual Review of Psychology     Full-text available via subscription   (Followers: 249)
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: 25)
Applied and Preventive Psychology     Hybrid Journal   (Followers: 16)
Applied Cognitive Psychology     Hybrid Journal   (Followers: 74)
Applied Neuropsychology : Adult     Hybrid Journal   (Followers: 40)
Applied Neuropsychology : Child     Hybrid Journal   (Followers: 22)
Applied Psycholinguistics     Hybrid Journal   (Followers: 19)
Applied Psychological Measurement     Hybrid Journal   (Followers: 20)
Applied Psychology     Hybrid Journal   (Followers: 165)
Applied Psychology: Health and Well-Being     Hybrid Journal   (Followers: 53)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8)
Archive for the Psychology of Religion / Archiv für Religionspychologie     Hybrid Journal   (Followers: 23)
Archives of Clinical Neuropsychology     Hybrid Journal   (Followers: 32)
Archives of Scientific Psychology     Open Access   (Followers: 4)
Arquivos Brasileiros de Psicologia     Open Access   (Followers: 1)
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 8)
Asia-Pacific Psychiatry     Hybrid Journal   (Followers: 4)
Asian American Journal of Psychology     Full-text available via subscription   (Followers: 5)
Asian Journal of Behavioural Studies     Open Access  
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 9)
Assessment     Hybrid Journal   (Followers: 12)
Attachment: New Directions in Psychotherapy and Relational Psychoanalysis     Full-text available via subscription   (Followers: 16)
Attention, Perception & Psychophysics     Full-text available via subscription   (Followers: 13)
Australasian Journal of Organisational Psychology     Hybrid Journal   (Followers: 8)
Australian and Aotearoa New Zealand Psychodrama Association Journal     Full-text available via subscription  
Australian Educational and Developmental Psychologist, The     Full-text available via subscription   (Followers: 8)
Australian Journal of Psychology     Hybrid Journal   (Followers: 18)
Australian Journal of Rehabilitation Counseling     Full-text available via subscription   (Followers: 4)
Australian Psychologist     Hybrid Journal   (Followers: 11)
Autism Research     Hybrid Journal   (Followers: 38)
Autism Research and Treatment     Open Access   (Followers: 29)
Autism's Own     Open Access   (Followers: 2)
Autism-Open Access     Open Access   (Followers: 6)
Avaliação Psicológica     Open Access  
Avances en Psicologia Latinoamericana     Open Access   (Followers: 1)
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 19)
Balint Journal     Hybrid Journal   (Followers: 3)
Barbaroi     Open Access  
Basic and Applied Social Psychology     Hybrid Journal   (Followers: 37)
Behavior Analysis in Practice     Full-text available via subscription   (Followers: 8)
Behavior Analysis: Research and Practice     Full-text available via subscription   (Followers: 2)
Behavior Analyst     Hybrid Journal   (Followers: 4)
Behavior Modification     Hybrid Journal   (Followers: 10)
Behavior Research Methods     Hybrid Journal   (Followers: 21)
Behavior Therapy     Hybrid Journal   (Followers: 50)
Behavioral Development Bulletin     Full-text available via subscription  
Behavioral Interventions     Hybrid Journal   (Followers: 10)
Behavioral Neuroscience     Full-text available via subscription   (Followers: 54)
Behavioral Sciences & the Law     Hybrid Journal   (Followers: 23)
Behavioral Sleep Medicine     Hybrid Journal   (Followers: 7)
Behaviormetrika     Hybrid Journal  
Behaviour     Hybrid Journal   (Followers: 12)
Behaviour Change     Full-text available via subscription   (Followers: 12)
Behaviour Research and Therapy     Hybrid Journal   (Followers: 18)
Behavioural and Cognitive Psychotherapy     Hybrid Journal   (Followers: 138)
Behavioural Processes     Hybrid Journal   (Followers: 8)
Biofeedback     Hybrid Journal   (Followers: 4)
BioPsychoSocial Medicine     Open Access   (Followers: 7)
BMC Psychology     Open Access   (Followers: 17)
Body, Movement and Dance in Psychotherapy: An International Journal for Theory, Research and Practice     Hybrid Journal   (Followers: 10)
Boletim Academia Paulista de Psicologia     Open Access  
Boletim de Psicologia     Open Access  
Brain Informatics     Open Access  
British Journal of Clinical Psychology     Full-text available via subscription   (Followers: 151)
British Journal of Developmental Psychology     Full-text available via subscription   (Followers: 37)
British Journal of Educational Psychology     Hybrid Journal   (Followers: 35)
British Journal of Health Psychology     Full-text available via subscription   (Followers: 46)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 21)
British Journal of Psychology     Full-text available via subscription   (Followers: 60)
British Journal of Psychotherapy     Hybrid Journal   (Followers: 68)
British Journal of Social Psychology     Full-text available via subscription   (Followers: 33)
Burnout Research     Open Access   (Followers: 8)
Cadernos de psicanálise (Rio de Janeiro)     Open Access  
Cadernos de Psicologia Social do Trabalho     Open Access  
Canadian Art Therapy Association     Hybrid Journal  
Canadian Journal of Behavioural Science     Full-text available via subscription   (Followers: 5)
Canadian Journal of Experimental Psychology     Full-text available via subscription   (Followers: 15)
Canadian Psychology / Psychologie canadienne     Full-text available via subscription   (Followers: 14)
Case Studies in Sport and Exercise Psychology     Hybrid Journal   (Followers: 1)
Cendekia : Jurnal Kependidikan dan Kemasyarakatan     Open Access  
Child Development Perspectives     Hybrid Journal   (Followers: 29)
Child Development Research     Open Access   (Followers: 17)
Ciencia Cognitiva     Open Access   (Followers: 2)
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: 10)
Clinical Practice in Pediatric Psychology     Full-text available via subscription   (Followers: 11)
Clinical Psychological Science     Hybrid Journal   (Followers: 13)
Clinical Psychologist     Hybrid Journal   (Followers: 18)
Clinical Psychology & Psychotherapy     Hybrid Journal   (Followers: 72)
Clinical Psychology and Special Education     Open Access   (Followers: 3)
Clinical Psychology Review     Hybrid Journal   (Followers: 41)
Clinical Psychology: Science and Practice     Hybrid Journal   (Followers: 22)
Clinical Schizophrenia & Related Psychoses     Full-text available via subscription   (Followers: 9)
Coaching : Theorie & Praxis     Open Access  
Coaching Psykologi - The Danish Journal of Coaching Psychology     Open Access   (Followers: 1)
Cogent Psychology     Open Access  
Cógito     Open Access  
Cognition & Emotion     Hybrid Journal   (Followers: 43)
Cognitive Behaviour Therapist     Hybrid Journal   (Followers: 13)
Cognitive Behaviour Therapy     Hybrid Journal   (Followers: 17)
Cognitive Neuropsychology     Hybrid Journal   (Followers: 35)
Cognitive Psychology     Hybrid Journal   (Followers: 71)
Cognitive Research : Principles and Implications     Open Access   (Followers: 3)
Consciousness and Cognition     Hybrid Journal   (Followers: 32)
Construção Psicopedagógica     Open Access  
Consulting Psychology Journal : Practice and Research     Full-text available via subscription   (Followers: 4)
Contagion : Journal of Violence, Mimesis, and Culture     Full-text available via subscription   (Followers: 7)
Contemporary Educational Psychology     Hybrid Journal   (Followers: 26)
Contemporary School Psychology     Hybrid Journal   (Followers: 4)
Contextos Clínicos     Open Access  
Counseling Outcome Research and Evaluation     Hybrid Journal   (Followers: 12)
Counseling Psychologist     Hybrid Journal   (Followers: 16)
Counseling Psychology and Psychotherapy     Open Access   (Followers: 11)
Counselling and Psychotherapy Research : Linking research with practice     Hybrid Journal   (Followers: 26)
Counselling and Values     Hybrid Journal   (Followers: 3)
Counselling Psychology Quarterly     Hybrid Journal   (Followers: 11)
Couple and Family Psychoanalysis     Full-text available via subscription   (Followers: 1)
Couple and Family Psychology : Research and Practice     Full-text available via subscription   (Followers: 7)
Creativity Research Journal     Hybrid Journal   (Followers: 24)
Creativity. Theories - Research - Applications     Open Access   (Followers: 5)
Criminal Justice Ethics     Hybrid Journal   (Followers: 8)
Cuadernos de Neuropsicología     Open Access   (Followers: 1)
Cuadernos de Psicologia del Deporte     Open Access  
Cuadernos de Psicopedagogía     Open Access  
Cultural Diversity and Ethnic Minority Psychology     Full-text available via subscription   (Followers: 15)
Cultural-Historical Psychology     Open Access   (Followers: 2)
Culturas Psi     Open Access  
Culture and Brain     Hybrid Journal   (Followers: 4)
Current Addiction Reports     Hybrid Journal   (Followers: 12)
Current Behavioral Neuroscience Reports     Hybrid Journal   (Followers: 2)
Current Directions In Psychological Science     Hybrid Journal   (Followers: 56)
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 3)
Current Opinion in Psychology     Hybrid Journal   (Followers: 6)
Current Psychological Research     Hybrid Journal   (Followers: 14)
Current Psychology     Hybrid Journal   (Followers: 17)
Current psychology letters     Open Access   (Followers: 2)
Current Research in Psychology     Open Access   (Followers: 20)
Cyberpsychology, Behavior, and Social Networking     Hybrid Journal   (Followers: 16)
Decision     Full-text available via subscription   (Followers: 4)
Depression and Anxiety     Hybrid Journal   (Followers: 21)
Depression Research and Treatment     Open Access   (Followers: 15)
Development and Psychopathology     Hybrid Journal   (Followers: 8)
Developmental Cognitive Neuroscience     Open Access   (Followers: 18)
Developmental Neuropsychology     Hybrid Journal   (Followers: 20)
Developmental Psychobiology     Hybrid Journal   (Followers: 9)
Developmental Psychology     Full-text available via subscription   (Followers: 47)
Diagnostica     Hybrid Journal   (Followers: 2)
Dialectica     Hybrid Journal   (Followers: 1)
Discourse     Full-text available via subscription   (Followers: 9)
Diversitas: Perspectivas en Psicologia     Open Access  
Drama Therapy Review     Hybrid Journal   (Followers: 2)
Dreaming     Full-text available via subscription   (Followers: 11)
Drogues, santé et société     Full-text available via subscription  
Dynamics of Asymmetric Conflict: Pathways toward terrorism and genocide     Hybrid Journal   (Followers: 15)
Eat, Sleep, Work     Open Access  
Ecopsychology     Hybrid Journal   (Followers: 8)
ECOS - Estudos Contemporâneos da Subjetividade     Open Access  

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Journal Cover Behaviormetrika
  [0 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0385-7417 - ISSN (Online) 1349-6964
   Published by Springer-Verlag Homepage  [2351 journals]
  • Large-scale estimation in Rasch models: asymptotic results, approximations
           of the variance–covariance matrix of item parameters, and
           divide-and-conquer estimation
    • Authors: Patrick Mair; Helmut Strasser
      Abstract: Rasch-type item response models are often estimated via a conditional maximum-likelihood approach. This article elaborates on the asymptotics of conditional maximum-likelihood estimates for an increasing number of items, important for modern data settings where a large number of items need to be scaled. Using approximations of the variance–covariance matrix based on Edgeworth expansions, the problem is studied theoretically as well as computationally. In a subsequent step, these results are used to split the large-scale estimation problem into smaller sub-problems involving blocks of items. These item blocks are estimated separately from each other and, finally, merged back into the full parameter vector (divide-and-conquer). By means of simulation studies, and in conjunction with the asymptotic results, it was found that block sizes in the range of 30–40 items approximate the full-scale estimators with a negligible loss in precision. It is also shown how varying block sizes affect the running time needed to fit the model.
      PubDate: 2018-02-20
      DOI: 10.1007/s41237-018-0046-z
  • Comparisons among several consistent estimators of structural equation
    • Authors: Yoshio Takane; Heungsun Hwang
      Abstract: With the advent of consistent partial least squares (PLSc), an interest has surged in comparing the quality of various estimation methods in structural equation models. Of particular interest are, beside PLSc, Bentler’s non-iterative confirmatory factor analysis, Hägglund’s instrumental variable (IV) estimation method, and Ihara–Kano’s non-iterative uniqueness estimation method. All of these methods yield consistent estimates of parameters in measurement models (factor loadings and unique variances), but require additional steps to estimate parameters in structural models [covariances among latent variables (LVs) and path coefficients]. These additional steps typically involve calculating LV scores, either correlating them or applying regression analysis, and correcting possible “biases” incurred by the use of LV scores as proxies of true LVs. In this paper, we conduct a Monte Carlo study to evaluate parameter recovery capabilities of the above LV extraction methods in conjunction with subsequent LV score construction and bias correction methods. We also compare these methods against more conventional estimation methods, such as the full least squares and maximum likelihood methods, that estimate parameters in both measurement and structural models simultaneously. In addition, we examine three methods of estimating standard errors (SEs) of estimated parameters from a single data set, the bootstrap method, ordinary least squares regression, and the inverse Hessian method. The SEs are important in assessing the reliability of parameter estimates and in testing their significance. It was found that Hägglund’s method used to extract one LV at a time from each block of observed variables, combined with Croon’s bias correction method, worked best in both parameter recovery and resistance to improper solutions, and that the bootstrap method provided the most accurate estimates of SEs.
      PubDate: 2017-11-29
      DOI: 10.1007/s41237-017-0045-5
  • Correction to: How does response bias emerge in lengthy sequential
           preference judgments'
    • Authors: Masahiro Morii; Takayuki Sakagami; Shinya Masuda; Shigetaka Okubo; Yuki Tamari
      Abstract: Unfortunately the Figure 7 was published incorrectly in the original publication of the article. The corrected version of Figure 7 and figure caption should be as below.
      PubDate: 2017-11-27
      DOI: 10.1007/s41237-017-0044-6
  • Social constructivist approach of motivation: social media messages
           recommendation system
    • Authors: Sébastien Louvigné; Masaki Uto; Yoshihiro Kato; Takatoshi Ishii
      Abstract: Contemporary learning theories and their implementations associated with information and communication technologies increasingly integrate social constructivist approaches in order to assist and facilitate the construction of knowledge. Social constructivism also highlights the important role of culture, learning attitude and behavior in the cognitive process. Modern e-learning systems need to include these psychological aspects in addition to knowledge construction in order to connect with long-standing pedagogical issues such as the decrease and lack of motivation for education. Current Social Networking Services (SNS) provide a platform where peers can express their passion, emotion, and motivation toward learning. Therefore, this research utilizes this platform to recommend motivational contents from peers for learning motivation enhancement (i.e., learners’ perception of their goal and purpose for learning). The proposed system consists of an SNS platform for learners to (1) express and evaluate their own goals for learning, (2) observe motivational messages from peers recommended from an LDA-based (latent Dirichlet allocation) model, and (3) evaluate their perceptions on motivational and psychological attributes. The LDA-based model recommends messages expressing diverse purposes for a shared goal by maximizing the topic divergence of Twitter messages. Learners’ self-evaluations show the positive and significant impact of observing diverse learning purposes from peers on intrinsic motivational attributes such as goal specificity, attainability, and on the confidence to achieve the desired outcome.
      PubDate: 2017-11-16
      DOI: 10.1007/s41237-017-0043-7
  • Simultaneous canonical correlation analysis with invariant canonical
    • Authors: Fei Gu; Hao Wu
      Abstract: In canonical correlation analysis (CCA), the substantive interpretations of the canonical variates are of primary interest to the applied researchers. However, there are two different interpretive approaches used by different researchers—the weight-based approach and the loading-based approach, of which the latter is favored by the majority of researchers in practice. For those who choose the loading-based approach and apply CCA simultaneously to multiple samples, they may wish to test the invariance of the canonical loadings. In this paper, three covariance structure models are defined for CCA. In particular, the first model (i.e., the CCA-W model) corresponds directly with regular CCA, including the canonical correlations and canonical weights as the parameters, while the third model (i.e., the CCA-L model) is in alignment with the loading-based interpretive approach, including the canonical correlations and canonical loadings as the parameters. The CCA-L model is further extended to the unrestricted and restricted SCCA-L models, of which the latter allows one to test the invariance of the canonical loadings. A real example drawn from the sociological literature is provided to illustrate the restrictive SCCA-L model, and some strategies to calculate good starting values for the restrictive SCCA-L model are discussed.
      PubDate: 2017-10-25
      DOI: 10.1007/s41237-017-0042-8
  • Weighted squared distance for two-deck randomized response model
    • Authors: Augustus Jayaraj; Oluseun Odumade; Stephen Sedory; Sarjinder Singh
      Abstract: In this paper, we propose a new weighted squared distance while minimizing a distance between the true proportions and the observed proportions of (Yes, Yes), (Yes, No), (No, Yes) and (No, No) answers in the setup of Odumade and Singh (Commun Stat Theory Methods 38: 439–446, 2009) model. The resultant estimator is shown to be an unbiased estimator of the proportion of the sensitive attribute of interest in a population and has smaller variance than the estimator of Odumade and Singh (Commun Stat Theory Methods 38: 439–446, 2009) with the same protection of the respondents. A real data application is also considered.
      PubDate: 2017-10-24
      DOI: 10.1007/s41237-017-0041-9
  • Direction of comparison effect and consumer research: from general to
           specific implications
    • Authors: Shuzo Abe; Yoshiyuki Okuse
      Abstract: When two alternatives are compared, the one that becomes the focus of comparison has a relative advantage (resp., disadvantage) when two alternatives share positive (resp., negative) unique features. This “direction of comparison effect” (DCE) has been found to manifest clearly when three conditions are met: when information is retrieved from memory rather than being externally presented, when a consumer has low product involvement but a high need for cognition, and when the attribute set size is large. The authors argue that at least two additional conditions must be met when applying the DCE in marketing: (1) the presence of unique features of market offerings and (2) the absence of situational factors such as commitment to an alternative. Experimental data on choice behavior regarding business hotels provide support for these two conditions. Also, in discussing the results, it has become clear that unnoticed DCE bias should be carefully canceled out in surveys by designing questionnaires to ensure that each alternative randomly becomes the focal alternative.
      PubDate: 2017-10-11
      DOI: 10.1007/s41237-017-0039-3
  • Economic voting using egotropic evaluation as an information cue: how
           absolute and relative income affects socio-economic evaluations and
    • Authors: Hanako Ohmura
      Abstract: While egotropic evaluations of economic policy have long been analyzed as reflecting the absolute individual income situation per se, economic assessments should also comprise relative perceptions of others’ status; in other words, voters’ perceptions of economic inequality matter. First, using an internet survey, we examined how perceptions of economic disparity affect income tax rate preferences founded on absolute income. We then tested whether egotropic and sociotropic evaluations separately affect voters’ retrospection on government, or if the easier egotropic evaluation functions as an information cue for the more difficult sociotropic evaluation. The results demonstrated the following: (1) those who perceive economic inequality to exist tend to be punitive toward voters in other income brackets; (2) this punitive tendency is stronger among higher and middle earners; and (3) for the middle earners, absolute income status and for the higher earners, perception of economic inequality mediates the effect of sociotropic evaluations and ultimately influences government approval.
      PubDate: 2017-10-11
      DOI: 10.1007/s41237-017-0040-x
  • Special feature: psychological science of survey questionnaires
    • Authors: Kazuhisa Takemura; Michael Smithson
      PubDate: 2017-10-04
      DOI: 10.1007/s41237-017-0038-4
  • Estimation of unobserved dynamics of individual partisanship: a Bayesian
    • Authors: Tomohito Okabe; Daisuke Nogiwa
      Abstract: Political party preference is a crucial element in the analysis of economics and political science. However, it is often difficult to investigate the dynamic properties of the individual partisanship due to inaccessibility to panel data. This study proposes a Bayesian approach for estimating Markov dynamics of individual-level partisanship with repeated cross-section data in which the history of respondents’ choice of favored party cannot be observed. The proposed approach identifies individual heterogeneities that affect transitional patterns of partisanship, and replicates the dynamic patterns of individual partisan mobility. Using the proposed method with American survey data, the study shows that age, education and race significantly influence partisan dynamics among Americans over a three-decade period from 1972.
      PubDate: 2017-09-19
      DOI: 10.1007/s41237-017-0034-8
  • How does response bias emerge in lengthy sequential preference
    • Authors: Masahiro Morii; Takayuki Sakagami; Shinya Masuda; Shigetaka Okubo; Yuki Tamari
      Abstract: Internet surveys are currently used in many academic and marketing research fields. However, the results for these surveys occasionally show traces of response bias. In our study, we analyzed how response bias appears in lengthy preference judgments. 1042 respondents participated in lengthy sequential preference judgments. Three stimuli series were used: scene pictures, Attneave nonsense shapes, and point-symmetric figures. One hundred stimuli were selected for each series and individually displayed on a computer screen, with presentation order randomized for each respondent. Respondents were then asked to rate their degree of preference for each stimulus. Mean preference scores increased over the first 10–20 trials, then, gradually decreased from the middle to the last trial. Furthermore, participants tended to produce the maximum and minimum score during early trials. These results demonstrated that response bias can be a function of presentation order.
      PubDate: 2017-09-18
      DOI: 10.1007/s41237-017-0036-6
  • Introduction to the Vol. 44, No. 2, 2017
    • Authors: Maomi Ueno
      PubDate: 2017-09-14
      DOI: 10.1007/s41237-017-0037-5
  • Asymmetrical triadic relationship based on the structural difficulty
    • Authors: Koji E. Kosugi
      Abstract: Using Bayesian inference, this study aims to estimate the magnitude of the cognitive load when a person perceives asymmetric social relations. Some empirical evidence relating to balance theory has shown that a balanced state is comparatively easier to memorize than an unbalanced one. In this study, since a balanced state is defined by structural complexity, an experimental hypothesis was set whereby asymmetric social relationships have different difficulty levels depending on structural complexity. The balanced state of an asymmetric relation as structural difficulty is formally derived from the eigenvalue structure of a Hermitian matrix. Asymmetric triadic relations are modeled as featuring three kinds of structural difficulties according to the eigenvalue decomposition of the Hermitian matrix and pattern-specific difficulties. The differences among the structural difficulties were not sufficiently significant to exceed pattern-specific difficulties, but the Bayes factor of the informational hypothesis of this research yielded positive effects.
      PubDate: 2017-09-14
      DOI: 10.1007/s41237-017-0033-9
  • Coping with career development: a field study measuring the influence of
           work characteristics and employee personality
    • Authors: Marcus Selart; Svein Tvedt Johansen
      Abstract: This study tested a model of the relationship between work performance, employee personality, and perceived career development. The model hypothesized that employee personality (extraversion) modifies the relationship between work characteristics (task, diversity, work feedback) and perceived career development. Results revealed that work characteristics (task diversity, work feedback) was positively related to perceived career opportunities and that extraversion positively moderated the relation between work characteristics (task diversity, work feedback) and perceived career opportunities. Issues related to the common method bias are discussed (see e.g. Podsakoff et al. in J Appl Psychol 88(5):879–903, 2003).
      PubDate: 2017-09-12
      DOI: 10.1007/s41237-017-0035-7
  • Logistic regression with misclassification in binary outcome variables: a
           method and software
    • Authors: Haiyan Liu; Zhiyong Zhang
      Abstract: Measurement error in continuous, normally distributed data is well known in the literature. Measurement error in a binary outcome variable, however, remains under-studied. Misclassification is the error in categorical data in which the observed category is different from the underlying one. In this study, we show, through a Monte Carlo simulation study, that there are non-ignorable biases in parameter estimates if the misclassification is ignored. To deal with the influence of the misclassification, we introduce a model with false-positive and false-negative misclassification parameters. Such a model can not only estimate the underlying association between the dependent and independent variables, but it also provides information on the extent of the misclassification. To estimate the model, a maximum likelihood estimation method based on a Fisher scoring algorithm is utilized. A simulation study is conducted to evaluate the performance, and a real data example is given to demonstrate the usefulness of the new model. An R package is developed to aid the application of the model.
      PubDate: 2017-08-23
      DOI: 10.1007/s41237-017-0031-y
  • Erratum to: Diverse reports recommendation system based on latent
           Dirichlet allocation
    • Authors: Masaki Uto; Sébastien Louvigné; Yoshihiro Kato; Takatoshi Ishii; Yoshimitsu Miyazawa
      PubDate: 2017-08-20
      DOI: 10.1007/s41237-017-0029-5
  • How previous choice affects decision attribute weights: a field survey
    • Authors: Tsuyoshi Hatori; Satoshi Fujii; Kazuhisa Takemura
      Abstract: The objective of this study was to examine the effects of people’s prior choice making on their weights of decision attributes. According to theories on post-decision processes, preferences are likely to be reconstructed in line with a preceding choice. The present study hypothesized that preferences are constructed so that superior (inferior) attributes of a chosen alternative are weighted higher (lower) than before. This hypothesis was tested in a field survey of university students in Japan. The data supported the hypothesis that the weights of the superior (inferior) attributes of the chosen alternative increased (decreased) as time passed since the decision was made. This result suggests the validity of the causal relationship in which choice shapes preference, which is the reverse of what is generally assumed in decision research.
      PubDate: 2017-07-27
      DOI: 10.1007/s41237-017-0028-6
  • Respondents with low motivation tend to choose middle category: survey
           questions on happiness in Japan
    • Authors: Shinya Masuda; Takayuki Sakagami; Hideaki Kawabata; Nobuhiko Kijima; Takahiro Hoshino
      Abstract: Some studies have shown low proportions of Japanese people rating their lives as happy. However, most surveys in Japan revealed that response distributions for subjective well-being items indicated excessive blips in middle categories. In this study, participants responded to four items that were designed to detect careless or unmotivated respondents; these items instructed respondents to choose a certain response category. Of the study’s respondents, about 40% failed to follow instructions for at least one of the four items. Besides, they often chose middle categories for well-being items. When those who did not follow instructions were excluded from the complete sample, middle categories showed low or no blips, and the proportion of respondents with high rating scores increased. Thus, this study suggested that one reason for reportedly low proportions of happy people in Japan was respondents who were not diligent in reading items.
      PubDate: 2017-07-01
      DOI: 10.1007/s41237-017-0026-8
  • Special feature: probabilistic graphical models and its applications to
           biomedical informatics—part 2
    • Authors: Joe Suzuki; Brandon Malone
      PubDate: 2017-06-20
      DOI: 10.1007/s41237-017-0025-9
  • A note on large-scale logistic prediction: using an approximate graphical
           model to deal with collinearity and missing data
    • Authors: Maarten Marsman; Lourens Waldorp; Gunter Maris
      Abstract: Large-scale prediction problems are often plagued by correlated predictor variables and missing observations. We consider prediction settings in which logistic regression models are used and propose a novel approach to make accurate predictions even when predictor variables are highly correlated and only partly observed. Our approach comprises three steps: first, to overcome the collinearity issue, we propose to model the joint distribution of the outcome variable and the predictor variables using the Ising network model. Second, to render the application of Ising networks feasible, we use a latent variable representation to apply a low-rank approximation to the network’s connectivity matrix. Finally, we propose an approximation to the latent variable distribution that is used in the representation to handle missing observations. We demonstrate our approach with numerical illustrations.
      PubDate: 2017-06-14
      DOI: 10.1007/s41237-017-0024-x
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