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  Subjects -> PSYCHOLOGY (Total: 901 journals)
Showing 1 - 174 of 174 Journals sorted alphabetically
Acción Psicológica     Open Access   (Followers: 3)
Acta Colombiana de Psicología     Open Access   (Followers: 4)
Acta Comportamentalia     Open Access   (Followers: 3)
Acta de Investigación Psicológica     Open Access   (Followers: 2)
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: 22)
ADHD Report The     Full-text available via subscription   (Followers: 8)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 46)
Advances in Mental Health     Hybrid Journal   (Followers: 76)
Advances in Methods and Practices in Psychological Science     Full-text available via subscription   (Followers: 2)
Advances in Physiotherapy     Hybrid Journal   (Followers: 58)
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: 433)
Aggressive Behavior     Hybrid Journal   (Followers: 16)
Aging, Neuropsychology, and Cognition     Hybrid Journal   (Followers: 39)
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: 40)
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: 196)
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: 71)
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: 244)
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: 15)
Applied Cognitive Psychology     Hybrid Journal   (Followers: 73)
Applied Neuropsychology : Adult     Hybrid Journal   (Followers: 39)
Applied Neuropsychology : Child     Hybrid Journal   (Followers: 21)
Applied Psychological Measurement     Hybrid Journal   (Followers: 20)
Applied Psychology     Hybrid Journal   (Followers: 179)
Applied Psychology: Health and Well-Being     Hybrid Journal   (Followers: 51)
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: 31)
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: 8)
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: 12)
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: 7)
Australian Journal of Psychology     Hybrid Journal   (Followers: 18)
Australian Psychologist     Hybrid Journal   (Followers: 12)
Autism Research     Hybrid Journal   (Followers: 37)
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: 7)
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: 19)
Behavior Therapy     Hybrid Journal   (Followers: 50)
Behavioral Development Bulletin     Full-text available via subscription  
Behavioral Interventions     Hybrid Journal   (Followers: 9)
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 Research and Therapy     Hybrid Journal   (Followers: 18)
Behavioural and Cognitive Psychotherapy     Hybrid Journal   (Followers: 135)
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: 146)
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: 45)
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: 67)
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: 10)
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: 40)
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: 42)
Cognitive Behaviour Therapy     Hybrid Journal   (Followers: 16)
Cognitive Neuropsychology     Hybrid Journal   (Followers: 33)
Cognitive Psychology     Hybrid Journal   (Followers: 69)
Cognitive Research : Principles and Implications     Open Access   (Followers: 3)
Consciousness and Cognition     Hybrid Journal   (Followers: 31)
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: 6)
Creativity Research Journal     Hybrid Journal   (Followers: 23)
Creativity. Theories - Research - Applications     Open Access   (Followers: 3)
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: 54)
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: 15)
Decision     Full-text available via subscription   (Followers: 4)
Depression and Anxiety     Hybrid Journal   (Followers: 20)
Depression Research and Treatment     Open Access   (Followers: 14)
Developmental Cognitive Neuroscience     Open Access   (Followers: 18)
Developmental Neuropsychology     Hybrid Journal   (Followers: 19)
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  
Educational Psychology Review     Hybrid Journal   (Followers: 31)
Educational Psychology: An International Journal of Experimental Educational Psychology     Hybrid Journal   (Followers: 51)
Educazione sentimentale     Full-text available via subscription  
Electronic Journal of Research in Educational Psychology     Open Access   (Followers: 7)
Elpis - Czasopismo Teologiczne Katedry Teologii Prawosławnej Uniwersytetu w Białymstoku     Open Access  
Emotion     Full-text available via subscription   (Followers: 37)
Emotion Review     Hybrid Journal   (Followers: 21)

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Journal Cover Behavior Research Methods
  [SJR: 2.235]   [H-I: 88]   [19 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1554-351X - ISSN (Online) 1554-3528
   Published by Springer-Verlag Homepage  [2355 journals]
  • On using multiple imputation for exploratory factor analysis of incomplete
    • Authors: Vahid Nassiri; Anikó Lovik; Geert Molenberghs; Geert Verbeke
      Abstract: A simple multiple imputation-based method is proposed to deal with missing data in exploratory factor analysis. Confidence intervals are obtained for the proportion of explained variance. Simulations and real data analysis are used to investigate and illustrate the use and performance of our proposal.
      PubDate: 2018-02-01
      DOI: 10.3758/s13428-017-1013-4
  • On using multiple imputation for exploratory factor analysis of incomplete
    • Authors: Vahid Nassiri; Anikó Lovik; Geert Molenberghs; Geert Verbeke
      Abstract: A simple multiple imputation-based method is proposed to deal with missing data in exploratory factor analysis. Confidence intervals are obtained for the proportion of explained variance. Simulations and real data analysis are used to investigate and illustrate the use and performance of our proposal.
      PubDate: 2018-01-31
      DOI: 10.3758/s13428-017-1000-9
  • AlignTool: The automatic temporal alignment of spoken utterances in
           German, Dutch, and British English for psycholinguistic purposes
    • Authors: Lars Schillingmann; Jessica Ernst; Verena Keite; Britta Wrede; Antje S. Meyer; Eva Belke
      Abstract: In language production research, the latency with which speakers produce a spoken response to a stimulus and the onset and offset times of words in longer utterances are key dependent variables. Measuring these variables automatically often yields partially incorrect results. However, exact measurements through the visual inspection of the recordings are extremely time-consuming. We present AlignTool, an open-source alignment tool that establishes preliminarily the onset and offset times of words and phonemes in spoken utterances using Praat, and subsequently performs a forced alignment of the spoken utterances and their orthographic transcriptions in the automatic speech recognition system MAUS. AlignTool creates a Praat TextGrid file for inspection and manual correction by the user, if necessary. We evaluated AlignTool’s performance with recordings of single-word and four-word utterances as well as semi-spontaneous speech. AlignTool performs well with audio signals with an excellent signal-to-noise ratio, requiring virtually no corrections. For audio signals of lesser quality, AlignTool still is highly functional but its results may require more frequent manual corrections. We also found that audio recordings including long silent intervals tended to pose greater difficulties for AlignTool than recordings filled with speech, which AlignTool analyzed well overall. We expect that by semi-automatizing the temporal analysis of complex utterances, AlignTool will open new avenues in language production research.
      PubDate: 2018-01-29
      DOI: 10.3758/s13428-017-1002-7
  • Multivariate normal maximum likelihood with both ordinal and continuous
           variables, and data missing at random
    • Authors: Joshua N. Pritikin; Timothy R. Brick; Michael C. Neale
      Abstract: A novel method for the maximum likelihood estimation of structural equation models (SEM) with both ordinal and continuous indicators is introduced using a flexible multivariate probit model for the ordinal indicators. A full information approach ensures unbiased estimates for data missing at random. Exceeding the capability of prior methods, up to 13 ordinal variables can be included before integration time increases beyond 1 s per row. The method relies on the axiom of conditional probability to split apart the distribution of continuous and ordinal variables. Due to the symmetry of the axiom, two similar methods are available. A simulation study provides evidence that the two similar approaches offer equal accuracy. A further simulation is used to develop a heuristic to automatically select the most computationally efficient approach. Joint ordinal continuous SEM is implemented in OpenMx, free and open-source software.
      PubDate: 2018-01-25
      DOI: 10.3758/s13428-017-1011-6
  • Reliability of the sliding scale for collecting affective responses to
    • Authors: C. Imbault; D. Shore; V. Kuperman
      Abstract: Warriner, Shore, Schmidt, Imbault, and Kuperman, Canadian Journal of Experimental Psychology, 71; 71–88 (2017) have recently proposed a slider task in which participants move a manikin on a computer screen toward or further away from a word, and the distance (in pixels) is a measure of the word’s valence. Warriner, Shore, Schmidt, Imbault, and Kuperman, Canadian Journal of Experimental Psychology, 71; 71–88 (2017) showed this task to be more valid than the widely used rating task, but they did not examine the reliability of the new methodology. In this study we investigated multiple aspects of this task’s reliability. In Experiment 1 (Exps. 1.1–1.6), we showed that the sliding scale has high split-half reliability (r = .868 to .931). In Experiment 2, we also showed that the slider task elicits consistent repeated responses both within a single session (Exp. 2: r = .804) and across two sessions separated by one week (Exp. 3: r = .754). Overall, the slider task, in addition to having high validity, is highly reliable.
      PubDate: 2018-01-25
      DOI: 10.3758/s13428-018-1016-9
  • A database of orthography-semantics consistency (OSC) estimates for 15,017
           English words
    • Authors: Marco Marelli; Simona Amenta
      Abstract: Orthography–semantics consistency (OSC) is a measure that quantifies the degree of semantic relatedness between a word and its orthographic relatives. OSC is computed as the frequency-weighted average semantic similarity between the meaning of a given word and the meanings of all the words containing that very same orthographic string, as captured by distributional semantic models. We present a resource including optimized estimates of OSC for 15,017 English words. In a series of analyses, we provide a progressive optimization of the OSC variable. We show that computing OSC from word-embeddings models (in place of traditional count models), limiting preprocessing of the corpus used for inducing semantic vectors (in particular, avoiding part-of-speech tagging and lemmatization), and relying on a wider pool of orthographic relatives provide better performance for the measure in a lexical-processing task. We further show that OSC is an important and significant predictor of reaction times in visual word recognition and word naming, one that correlates only weakly with other psycholinguistic variables (e.g., family size, word frequency), indicating that it captures a novel source of variance in lexical access. Finally, some theoretical and methodological implications are discussed of adopting OSC as one of the predictors of reaction times in studies of visual word recognition.
      PubDate: 2018-01-25
      DOI: 10.3758/s13428-018-1017-8
  • A novel blink detection method based on pupillometry noise
    • Authors: Ronen Hershman; Avishai Henik; Noga Cohen
      Abstract: Pupillometry (or the measurement of pupil size) is commonly used as an index of cognitive load and arousal. Pupil size data are recorded using eyetracking devices that provide an output containing pupil size at various points in time. During blinks the eyetracking device loses track of the pupil, resulting in missing values in the output file. The missing-sample time window is preceded and followed by a sharp change in the recorded pupil size, due to the opening and closing of the eyelids. This eyelid signal can create artificial effects if it is not removed from the data. Thus, accurate detection of the onset and the offset of blinks is necessary for pupil size analysis. Although there are several approaches to detecting and removing blinks from the data, most of these approaches do not remove the eyelid signal or can result in a relatively large amount of data loss. The present work suggests a novel blink detection algorithm based on the fluctuations that characterize pupil data. These fluctuations (“noise”) result from measurement error produced by the eyetracker device. Our algorithm finds the onset and offset of the blinks on the basis of this fluctuation pattern and its distinctiveness from the eyelid signal. By comparing our algorithm to three other common blink detection methods and to results from two independent human raters, we demonstrate the effectiveness of our algorithm in detecting blink onset and offset. The algorithm’s code and example files for processing multiple eye blinks are freely available for download (
      PubDate: 2018-01-16
      DOI: 10.3758/s13428-017-1008-1
  • Ultrahigh temporal resolution of visual presentation using gaming monitors
           and G-Sync
    • Authors: Christian H. Poth; Rebecca M. Foerster; Christian Behler; Ulrich Schwanecke; Werner X. Schneider; Mario Botsch
      Abstract: Vision unfolds as an intricate pattern of information processing over time. Studying vision and visual cognition therefore requires precise manipulations of the timing of visual stimulus presentation. Although standard computer display technologies offer great accuracy and precision of visual presentation, their temporal resolution is limited. This limitation stems from the fact that the presentation of rendered stimuli has to wait until the next refresh of the computer screen. We present a novel method for presenting visual stimuli with ultrahigh temporal resolution (<1 ms) on newly available gaming monitors. The method capitalizes on the G-Sync technology, which allows for presenting stimuli as soon as they have been rendered by the computer’s graphics card, without having to wait for the next screen refresh. We provide software implementations in the three programming languages C++, Python (using PsychoPy2), and Matlab (using Psychtoolbox3). For all implementations, we confirmed the ultrahigh temporal resolution of visual presentation with external measurements by using a photodiode. Moreover, a psychophysical experiment revealed that the ultrahigh temporal resolution impacts on human visual performance. Specifically, observers’ object recognition performance improved over fine-grained increases of object presentation duration in a theoretically predicted way. Taken together, the present study shows that the G-Sync-based presentation method enables researchers to investigate visual processes whose data patterns were concealed by the low temporal resolution of previous technologies. Therefore, this new presentation method may be a valuable tool for experimental psychologists and neuroscientists studying vision and its temporal characteristics.
      PubDate: 2018-01-16
      DOI: 10.3758/s13428-017-1003-6
  • On the predictive validity of various corpus-based frequency norms in L2
           English lexical processing
    • Authors: Xiaocong Chen; Yanping Dong; Xiufen Yu
      Abstract: The predictive validity of various corpus-based frequency norms in first-language lexical processing has been intensively investigated in previous research, but less attention has been paid to this issue in second-language (L2) processing. To bridge the gap, in the present study we took English as a case in point and compared the predictive power of a large set of corpus-based frequency norms for the performance of an L2 English visual lexical decision task (LDT). Our results showed that, in general, the frequency norms from SUBTLEX-US and WorldLex–Blog tended to predict L2 performance better in reaction times, whereas the frequency norms from corpora with a mixture of written and spoken genres (CELEX, WorldLex–Blog, BNC, ANC, and COCA) tended to predict L2 accuracy better. Although replicated in both low- and high-proficiency L2 English learners, these patterns were not exactly the same as those found in LDT data from native English speakers. In addition, we only observed some limited advantages of the lemma frequency and contextual diversity measures over the wordform frequency measure in predicting L2 lexical processing. The results of the present study, especially the detailed comparisons among the different corpora, provide methodological implications for future L2 lexical research.
      PubDate: 2018-01-16
      DOI: 10.3758/s13428-017-1001-8
  • Testing the actual equivalence of automatically generated items
    • Authors: Debora de Chiusole; Luca Stefanutti; Pasquale Anselmi; Egidio Robusto
      Abstract: If the automatic item generation is used for generating test items, the question of how the equivalence among different instances may be tested is fundamental to assure an accurate assessment. In the present research, the question was dealt by using the knowledge space theory framework. Two different ways of considering the equivalence among instances are proposed: The former is at a deterministic level and it requires that all the instances of an item template must belong to exactly the same knowledge states; the latter adds a probabilistic level to the deterministic one. The former type of equivalence can be modeled by using the BLIM with a knowledge structure assuming equally informative instances; the latter can be modeled by a constrained BLIM. This model assumes equality constraints among the error parameters of the equivalent instances. An approach is proposed for testing the equivalence among instances, which is based on a series of model comparisons. A simulation study and an empirical application show the viability of the approach.
      PubDate: 2018-01-16
      DOI: 10.3758/s13428-017-1004-5
  • Safe and sensible preprocessing and baseline correction of pupil-size data
    • Authors: Sebastiaan Mathôt; Jasper Fabius; Elle Van Heusden; Stefan Van der Stigchel
      Abstract: Measurement of pupil size (pupillometry) has recently gained renewed interest from psychologists, but there is little agreement on how pupil-size data is best analyzed. Here we focus on one aspect of pupillometric analyses: baseline correction, i.e., analyzing changes in pupil size relative to a baseline period. Baseline correction is useful in experiments that investigate the effect of some experimental manipulation on pupil size. In such experiments, baseline correction improves statistical power by taking into account random fluctuations in pupil size over time. However, we show that baseline correction can also distort data if unrealistically small pupil sizes are recorded during the baseline period, which can easily occur due to eye blinks, data loss, or other distortions. Divisive baseline correction (corrected pupil size = pupil size/baseline) is affected more strongly by such distortions than subtractive baseline correction (corrected pupil size = pupil size − baseline). We discuss the role of baseline correction as a part of preprocessing of pupillometric data, and make five recommendations: (1) before baseline correction, perform data preprocessing to mark missing and invalid data, but assume that some distortions will remain in the data; (2) use subtractive baseline correction; (3) visually compare your corrected and uncorrected data; (4) be wary of pupil-size effects that emerge faster than the latency of the pupillary response allows (within ±220 ms after the manipulation that induces the effect); and (5) remove trials on which baseline pupil size is unrealistically small (indicative of blinks and other distortions).
      PubDate: 2018-01-12
      DOI: 10.3758/s13428-017-1007-2
  • How honest are the signals' A protocol for validating wearable sensors
    • Abstract: There is growing interest among organizational researchers in tapping into alternative sources of data beyond self-reports to provide a new avenue for measuring behavioral constructs. Use of alternative data sources such as wearable sensors is necessary for developing theory and enhancing organizational practice. Although wearable sensors are now commercially available, the veracity of the data they capture is largely unknown and mostly based on manufacturers’ claims. The goal of this research is to test the validity and reliability of data captured by one such wearable badge (by Humanyze) in the context of structured meetings where all individuals wear a badge for the duration of the encounter. We developed a series of studies, each targeting a specific sensor of this badge that is relevant for structured meetings, and we make specific recommendations for badge data usage based on our validation results. We have incorporated the insights from our studies on a website that researchers can use to conduct validation tests for their badges, upload their data, and assess the validity of the data. We discuss this website in the corresponding studies.
      PubDate: 2018-01-12
      DOI: 10.3758/s13428-017-1005-4
  • The failing measurement of attitudes: How semantic determinants of
    • Authors: Jan Ketil Arnulf; Kai Rune Larsen; Øyvind Lund Martinsen; Thore Egeland
      Abstract: The traditional understanding of data from Likert scales is that the quantifications involved result from measures of attitude strength. Applying a recently proposed semantic theory of survey response, we claim that survey responses tap two different sources: a mixture of attitudes plus the semantic structure of the survey. Exploring the degree to which individual responses are influenced by semantics, we hypothesized that in many cases, information about attitude strength is actually filtered out as noise in the commonly used correlation matrix. We developed a procedure to separate the semantic influence from attitude strength in individual response patterns, and compared these results to, respectively, the observed sample correlation matrices and the semantic similarity structures arising from text analysis algorithms. This was done with four datasets, comprising a total of 7,787 subjects and 27,461,502 observed item pair responses. As we argued, attitude strength seemed to account for much information about the individual respondents. However, this information did not seem to carry over into the observed sample correlation matrices, which instead converged around the semantic structures offered by the survey items. This is potentially disturbing for the traditional understanding of what survey data represent. We argue that this approach contributes to a better understanding of the cognitive processes involved in survey responses. In turn, this could help us make better use of the data that such methods provide.
      PubDate: 2018-01-12
      DOI: 10.3758/s13428-017-0999-y
  • General mixture item response models with different item response
           structures: Exposition with an application to Likert scales
    • Authors: Jesper Tijmstra; Maria Bolsinova; Minjeong Jeon
      Abstract: This article proposes a general mixture item response theory (IRT) framework that allows for classes of persons to differ with respect to the type of processes underlying the item responses. Through the use of mixture models, nonnested IRT models with different structures can be estimated for different classes, and class membership can be estimated for each person in the sample. If researchers are able to provide competing measurement models, this mixture IRT framework may help them deal with some violations of measurement invariance. To illustrate this approach, we consider a two-class mixture model, where a person’s responses to Likert-scale items containing a neutral middle category are either modeled using a generalized partial credit model, or through an IRTree model. In the first model, the middle category (“neither agree nor disagree”) is taken to be qualitatively similar to the other categories, and is taken to provide information about the person’s endorsement. In the second model, the middle category is taken to be qualitatively different and to reflect a nonresponse choice, which is modeled using an additional latent variable that captures a person’s willingness to respond. The mixture model is studied using simulation studies and is applied to an empirical example.
      PubDate: 2018-01-10
      DOI: 10.3758/s13428-017-0997-0
  • When is best-worst best' A comparison of best-worst scaling, numeric
           estimation, and rating scales for collection of semantic norms
    • Authors: Geoff Hollis; Chris Westbury
      Abstract: Large-scale semantic norms have become both prevalent and influential in recent psycholinguistic research. However, little attention has been directed towards understanding the methodological best practices of such norm collection efforts. We compared the quality of semantic norms obtained through rating scales, numeric estimation, and a less commonly used judgment format called best-worst scaling. We found that best-worst scaling usually produces norms with higher predictive validities than other response formats, and does so requiring less data to be collected overall. We also found evidence that the various response formats may be producing qualitatively, rather than just quantitatively, different data. This raises the issue of potential response format bias, which has not been addressed by previous efforts to collect semantic norms, likely because of previous reliance on a single type of response format for a single type of semantic judgment. We have made available software for creating best-worst stimuli and scoring best-worst data. We also made available new norms for age of acquisition, valence, arousal, and concreteness collected using best-worst scaling. These norms include entries for 1,040 words, of which 1,034 are also contained in the ANEW norms (Bradley & Lang, Affective norms for English words (ANEW): Instruction manual and affective ratings (pp. 1-45). Technical report C-1, the center for research in psychophysiology, University of Florida, 1999).
      PubDate: 2018-01-10
      DOI: 10.3758/s13428-017-1009-0
  • EmoFinder: The meeting point for Spanish emotional words
    • Authors: Isabel Fraga; Marc Guasch; Juan Haro; Isabel Padrón; Pilar Ferré
      Abstract: We present here emoFinder (, a Web-based search engine for Spanish word properties taken from different normative databases. The tool incorporates several subjective word properties for 16,375 distinct words. Although it focuses particularly on normative ratings for emotional dimensions (e.g., valence and arousal) and discrete emotional categories (fear, disgust, anger, happiness, and sadness), it also makes available ratings for other word properties that are known to affect word processing (e.g., concreteness, familiarity, contextual availability, and age of acquisition). The tool provides two main functionalities: Users can search for words matched on specific criteria with regard to the selected properties, or users can obtain the properties for a set of words. The output from emoFinder is highly customizable and can be accessed online or exported to a computer. The tool architecture is easily scalable, so that it can be updated to include word properties from new Spanish normative databases as they become available.
      PubDate: 2018-01-08
      DOI: 10.3758/s13428-017-1006-3
  • Assessing and overcoming participant dishonesty in online data collection
    • Authors: Chris Hydock
      Abstract: Crowdsourcing services, such as MTurk, have opened a large pool of participants to researchers. Unfortunately, it can be difficult to confidently acquire a sample that matches a given demographic, psychographic, or behavioral dimension. This problem exists because little information is known about individual participants and because some participants are motivated to misrepresent their identity with the goal of financial reward. Despite the fact that online workers do not typically display a greater than average level of dishonesty, when researchers overtly request that only a certain population take part in an online study, a nontrivial portion misrepresent their identity. In this study, a proposed system is tested that researchers can use to quickly, fairly, and easily screen participants on any dimension. In contrast to an overt request, the reported system results in significantly fewer (near zero) instances of participant misrepresentation. Tests for misrepresentations were conducted by using a large database of past participant records (~45,000 unique workers). This research presents and tests an important tool for the increasingly prevalent practice of online data collection.
      PubDate: 2017-12-22
      DOI: 10.3758/s13428-017-0984-5
  • Correction to: Estimating effect size when there is clustering in one
           treatment group
    • Authors: Larry V. Hedges; Martyna Citkowicz
      Abstract: Equation (26) is formatted incorrectly in the pdf version. It should appear as follows.
      PubDate: 2017-12-21
      DOI: 10.3758/s13428-017-1010-7
  • All for one or some for all' Evaluating informative hypotheses using
           multiple N = 1 studies
    • Authors: Fayette Klaassen; Claire M. Zedelius; Harm Veling; Henk Aarts; Herbert Hoijtink
      Abstract: Analyses are mostly executed at the population level, whereas in many applications the interest is on the individual level instead of the population level. In this paper, multiple N = 1 experiments are considered, where participants perform multiple trials with a dichotomous outcome in various conditions. Expectations with respect to the performance of participants can be translated into so-called informative hypotheses. These hypotheses can be evaluated for each participant separately using Bayes factors. A Bayes factor expresses the relative evidence for two hypotheses based on the data of one individual. This paper proposes to “average” these individual Bayes factors in the gP-BF, the average relative evidence. The gP-BF can be used to determine whether one hypothesis is preferred over another for all individuals under investigation. This measure provides insight into whether the relative preference of a hypothesis from a pre-defined set is homogeneous over individuals. Two additional measures are proposed to support the interpretation of the gP-BF: the evidence rate (ER), the proportion of individual Bayes factors that support the same hypothesis as the gP-BF, and the stability rate (SR), the proportion of individual Bayes factors that express a stronger support than the gP-BF. These three statistics can be used to determine the relative support in the data for the informative hypotheses entertained. Software is available that can be used to execute the approach proposed in this paper and to determine the sensitivity of the outcomes with respect to the number of participants and within condition replications.
      PubDate: 2017-12-15
      DOI: 10.3758/s13428-017-0992-5
  • Within-subject mediation analysis for experimental data in cognitive
           psychology and neuroscience
    • Authors: Matti Vuorre; Niall Bolger
      Abstract: Statistical mediation allows researchers to investigate potential causal effects of experimental manipulations through intervening variables. It is a powerful tool for assessing the presence and strength of postulated causal mechanisms. Although mediation is used in certain areas of psychology, it is rarely applied in cognitive psychology and neuroscience. One reason for the scarcity of applications is that these areas of psychology commonly employ within-subjects designs, and mediation models for within-subjects data are considerably more complicated than for between-subjects data. Here, we draw attention to the importance and ubiquity of mediational hypotheses in within-subjects designs, and we present a general and flexible software package for conducting Bayesian within-subjects mediation analyses in the R programming environment. We use experimental data from cognitive psychology to illustrate the benefits of within-subject mediation for theory testing and comparison.
      PubDate: 2017-12-15
      DOI: 10.3758/s13428-017-0980-9
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