Publisher: Sage Publications   (Total: 1090 journals)

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Showing 1 - 200 of 1090 Journals sorted alphabetically
AADE in Practice     Hybrid Journal   (Followers: 6)
Abstracts in Anthropology     Full-text available via subscription   (Followers: 24)
Academic Pathology     Open Access   (Followers: 5)
Accounting History     Hybrid Journal   (Followers: 17, SJR: 0.527, CiteScore: 1)
Acta Radiologica     Hybrid Journal   (Followers: 1, SJR: 0.754, CiteScore: 2)
Acta Radiologica Open     Open Access   (Followers: 2)
Acta Sociologica     Hybrid Journal   (Followers: 39, SJR: 0.939, CiteScore: 2)
Action Research     Hybrid Journal   (Followers: 51, SJR: 0.308, CiteScore: 1)
Active Learning in Higher Education     Hybrid Journal   (Followers: 360, SJR: 1.397, CiteScore: 2)
Adaptive Behavior     Hybrid Journal   (Followers: 9, SJR: 0.288, CiteScore: 1)
Administration & Society     Hybrid Journal   (Followers: 14, SJR: 0.675, CiteScore: 1)
Adoption & Fostering     Hybrid Journal   (Followers: 24, SJR: 0.313, CiteScore: 0)
Adsorption Science & Technology     Open Access   (Followers: 8, SJR: 0.258, CiteScore: 1)
Adult Education Quarterly     Hybrid Journal   (Followers: 238, SJR: 0.566, CiteScore: 2)
Adult Learning     Hybrid Journal   (Followers: 44)
Advances in Dental Research     Hybrid Journal   (Followers: 9, SJR: 1.791, CiteScore: 4)
Advances in Developing Human Resources     Hybrid Journal   (Followers: 31, SJR: 0.614, CiteScore: 2)
Advances in Mechanical Engineering     Open Access   (Followers: 136, SJR: 0.272, CiteScore: 1)
Advances in Methods and Practices in Psychological Science     Full-text available via subscription   (Followers: 11)
Advances in Structural Engineering     Full-text available via subscription   (Followers: 46, SJR: 0.599, CiteScore: 1)
Advances in Tumor Virology     Open Access   (Followers: 3, SJR: 0.108, CiteScore: 0)
AERA Open     Open Access   (Followers: 10)
Affilia     Hybrid Journal   (Followers: 5, SJR: 0.496, CiteScore: 1)
Agrarian South : J. of Political Economy     Hybrid Journal   (Followers: 2)
Air, Soil & Water Research     Open Access   (Followers: 13, SJR: 0.214, CiteScore: 1)
Alexandria : The J. of National and Intl. Library and Information Issues     Full-text available via subscription   (Followers: 67)
Allergy & Rhinology     Open Access   (Followers: 4)
AlterNative : An Intl. J. of Indigenous Peoples     Full-text available via subscription   (Followers: 12, SJR: 0.194, CiteScore: 0)
Alternative Law J.     Hybrid Journal   (Followers: 11, SJR: 0.176, CiteScore: 0)
Alternatives : Global, Local, Political     Hybrid Journal   (Followers: 12, SJR: 0.351, CiteScore: 1)
American Behavioral Scientist     Hybrid Journal   (Followers: 24, SJR: 0.982, CiteScore: 2)
American Economist     Hybrid Journal   (Followers: 8)
American Educational Research J.     Hybrid Journal   (Followers: 229, SJR: 2.913, CiteScore: 3)
American J. of Alzheimer's Disease and Other Dementias     Hybrid Journal   (Followers: 19, SJR: 0.67, CiteScore: 2)
American J. of Cosmetic Surgery     Hybrid Journal   (Followers: 8)
American J. of Evaluation     Hybrid Journal   (Followers: 17, SJR: 0.646, CiteScore: 2)
American J. of Health Promotion     Hybrid Journal   (Followers: 34, SJR: 0.807, CiteScore: 1)
American J. of Hospice and Palliative Medicine     Hybrid Journal   (Followers: 43, SJR: 0.65, CiteScore: 1)
American J. of Law & Medicine     Full-text available via subscription   (Followers: 12, SJR: 0.204, CiteScore: 1)
American J. of Lifestyle Medicine     Hybrid Journal   (Followers: 6, SJR: 0.431, CiteScore: 1)
American J. of Medical Quality     Hybrid Journal   (Followers: 12, SJR: 0.777, CiteScore: 1)
American J. of Men's Health     Open Access   (Followers: 9, SJR: 0.595, CiteScore: 2)
American J. of Rhinology and Allergy     Hybrid Journal   (Followers: 9, SJR: 0.972, CiteScore: 2)
American J. of Sports Medicine     Hybrid Journal   (Followers: 215, SJR: 3.949, CiteScore: 6)
American Politics Research     Hybrid Journal   (Followers: 33, SJR: 1.313, CiteScore: 1)
American Review of Public Administration     Hybrid Journal   (Followers: 21, SJR: 2.062, CiteScore: 2)
American Sociological Review     Hybrid Journal   (Followers: 332, SJR: 6.333, CiteScore: 6)
American String Teacher     Full-text available via subscription   (Followers: 2)
Analytical Chemistry Insights     Open Access   (Followers: 26, SJR: 0.224, CiteScore: 1)
Angiology     Hybrid Journal   (Followers: 3, SJR: 0.849, CiteScore: 2)
Animation     Hybrid Journal   (Followers: 14, SJR: 0.197, CiteScore: 0)
Annals of Clinical Biochemistry     Hybrid Journal   (Followers: 10, SJR: 0.634, CiteScore: 1)
Annals of Otology, Rhinology & Laryngology     Hybrid Journal   (Followers: 17, SJR: 0.807, CiteScore: 1)
Annals of Pharmacotherapy     Hybrid Journal   (Followers: 54, SJR: 1.096, CiteScore: 2)
Annals of the American Academy of Political and Social Science     Hybrid Journal   (Followers: 48, SJR: 1.225, CiteScore: 3)
Annals of the ICRP     Hybrid Journal   (Followers: 4, SJR: 0.548, CiteScore: 1)
Anthropocene Review     Hybrid Journal   (Followers: 8, SJR: 3.341, CiteScore: 7)
Anthropological Theory     Hybrid Journal   (Followers: 42, SJR: 0.739, CiteScore: 1)
Antitrust Bulletin     Hybrid Journal   (Followers: 11)
Antiviral Chemistry and Chemotherapy     Open Access   (Followers: 2, SJR: 0.635, CiteScore: 2)
Antyajaa : Indian J. of Women and Social Change     Hybrid Journal  
Applied Biosafety     Hybrid Journal   (Followers: 1, SJR: 0.131, CiteScore: 0)
Applied Psychological Measurement     Hybrid Journal   (Followers: 23, SJR: 1.17, CiteScore: 1)
Applied Spectroscopy     Full-text available via subscription   (Followers: 27, SJR: 0.489, CiteScore: 2)
Armed Forces & Society     Hybrid Journal   (Followers: 22, SJR: 0.29, CiteScore: 1)
Arts and Humanities in Higher Education     Hybrid Journal   (Followers: 43, SJR: 0.305, CiteScore: 1)
Asia Pacific Media Educator     Hybrid Journal   (Followers: 1, SJR: 0.23, CiteScore: 0)
Asia-Pacific J. of Management Research and Innovation     Full-text available via subscription   (Followers: 3)
Asia-Pacific J. of Public Health     Hybrid Journal   (Followers: 11, SJR: 0.558, CiteScore: 1)
Asian and Pacific Migration J.     Full-text available via subscription   (Followers: 9, SJR: 0.324, CiteScore: 1)
Asian Cardiovascular and Thoracic Annals     Hybrid Journal   (Followers: 2, SJR: 0.305, CiteScore: 0)
Asian J. of Comparative Politics     Hybrid Journal   (Followers: 5)
Asian J. of Legal Education     Full-text available via subscription   (Followers: 4)
Asian J. of Management Cases     Hybrid Journal   (Followers: 6, SJR: 0.101, CiteScore: 0)
ASN Neuro     Open Access   (Followers: 2, SJR: 1.534, CiteScore: 3)
Assessment     Hybrid Journal   (Followers: 17, SJR: 1.519, CiteScore: 3)
Assessment for Effective Intervention     Hybrid Journal   (Followers: 16, SJR: 0.578, CiteScore: 1)
Australasian Psychiatry     Hybrid Journal   (Followers: 18, SJR: 0.433, CiteScore: 1)
Australian & New Zealand J. of Psychiatry     Hybrid Journal   (Followers: 29, SJR: 1.801, CiteScore: 2)
Australian and New Zealand J. of Criminology     Hybrid Journal   (Followers: 532, SJR: 0.612, CiteScore: 1)
Australian J. of Career Development     Hybrid Journal   (Followers: 4)
Australian J. of Education     Hybrid Journal   (Followers: 42, SJR: 0.403, CiteScore: 1)
Australian J. of Management     Hybrid Journal   (Followers: 13, SJR: 0.497, CiteScore: 1)
Autism     Hybrid Journal   (Followers: 338, SJR: 1.739, CiteScore: 4)
Autism & Developmental Language Impairments     Open Access   (Followers: 12)
Behavior Modification     Hybrid Journal   (Followers: 12, SJR: 0.877, CiteScore: 2)
Behavioral and Cognitive Neuroscience Reviews     Hybrid Journal   (Followers: 26)
Bible Translator     Hybrid Journal   (Followers: 13)
Biblical Theology Bulletin     Hybrid Journal   (Followers: 20, SJR: 0.184, CiteScore: 0)
Big Data & Society     Open Access   (Followers: 52)
Biochemistry Insights     Open Access   (Followers: 7)
Bioinformatics and Biology Insights     Open Access   (Followers: 12, SJR: 1.141, CiteScore: 2)
Biological Research for Nursing     Hybrid Journal   (Followers: 7, SJR: 0.685, CiteScore: 2)
Biomarker Insights     Open Access   (Followers: 1, SJR: 0.81, CiteScore: 2)
Biomarkers in Cancer     Open Access   (Followers: 11)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Informatics Insights     Open Access   (Followers: 9)
Bioscope: South Asian Screen Studies     Hybrid Journal   (Followers: 3, SJR: 0.235, CiteScore: 0)
BMS: Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique     Hybrid Journal   (Followers: 4, SJR: 0.226, CiteScore: 0)
Body & Society     Hybrid Journal   (Followers: 27, SJR: 1.531, CiteScore: 3)
Bone and Tissue Regeneration Insights     Open Access   (Followers: 2)
Brain and Neuroscience Advances     Open Access  
Breast Cancer : Basic and Clinical Research     Open Access   (Followers: 11, SJR: 0.823, CiteScore: 2)
British J. of Music Therapy     Hybrid Journal   (Followers: 8)
British J. of Occupational Therapy     Hybrid Journal   (Followers: 217, SJR: 0.323, CiteScore: 1)
British J. of Pain     Hybrid Journal   (Followers: 27, SJR: 0.579, CiteScore: 2)
British J. of Politics and Intl. Relations     Hybrid Journal   (Followers: 33, SJR: 0.91, CiteScore: 2)
British J. of Visual Impairment     Hybrid Journal   (Followers: 13, SJR: 0.337, CiteScore: 1)
British J.ism Review     Hybrid Journal   (Followers: 18)
BRQ Business Review Quarterly     Open Access   (Followers: 1)
Building Acoustics     Hybrid Journal   (Followers: 4, SJR: 0.215, CiteScore: 1)
Building Services Engineering Research & Technology     Hybrid Journal   (Followers: 3, SJR: 0.583, CiteScore: 1)
Bulletin of Science, Technology & Society     Hybrid Journal   (Followers: 8)
Business & Society     Hybrid Journal   (Followers: 13)
Business and Professional Communication Quarterly     Hybrid Journal   (Followers: 8, SJR: 0.348, CiteScore: 1)
Business Information Review     Hybrid Journal   (Followers: 17, SJR: 0.279, CiteScore: 0)
Business Perspectives and Research     Hybrid Journal   (Followers: 3)
Cahiers Élisabéthains     Hybrid Journal   (Followers: 1, SJR: 0.111, CiteScore: 0)
Calcutta Statistical Association Bulletin     Full-text available via subscription   (Followers: 1)
California Management Review     Hybrid Journal   (Followers: 32, SJR: 2.209, CiteScore: 4)
Canadian J. of Kidney Health and Disease     Open Access   (Followers: 6, SJR: 1.007, CiteScore: 2)
Canadian J. of Nursing Research (CJNR)     Hybrid Journal   (Followers: 13)
Canadian J. of Occupational Therapy     Hybrid Journal   (Followers: 142, SJR: 0.626, CiteScore: 1)
Canadian J. of Psychiatry     Hybrid Journal   (Followers: 27, SJR: 1.769, CiteScore: 3)
Canadian J. of School Psychology     Hybrid Journal   (Followers: 12, SJR: 0.266, CiteScore: 1)
Canadian Pharmacists J. / Revue des Pharmaciens du Canada     Hybrid Journal   (Followers: 3, SJR: 0.536, CiteScore: 1)
Cancer Control     Open Access   (Followers: 1)
Cancer Growth and Metastasis     Open Access   (Followers: 1)
Cancer Informatics     Open Access   (Followers: 4, SJR: 0.64, CiteScore: 1)
Capital and Class     Hybrid Journal   (Followers: 8, SJR: 0.282, CiteScore: 1)
Cardiac Cath Lab Director     Full-text available via subscription  
Cardiovascular and Thoracic Open     Open Access  
Career Development and Transition for Exceptional Individuals     Hybrid Journal   (Followers: 9, SJR: 0.44, CiteScore: 1)
Cartilage     Hybrid Journal   (Followers: 5, SJR: 0.889, CiteScore: 3)
Cell and Tissue Transplantation and Therapy     Open Access   (Followers: 2)
Cell Transplantation     Open Access   (Followers: 4, SJR: 1.023, CiteScore: 3)
Cephalalgia     Hybrid Journal   (Followers: 8, SJR: 1.581, CiteScore: 3)
Cephalalgia Reports     Open Access   (Followers: 2)
Child Language Teaching and Therapy     Hybrid Journal   (Followers: 35, SJR: 0.501, CiteScore: 1)
Child Maltreatment     Hybrid Journal   (Followers: 9, SJR: 1.22, CiteScore: 3)
Child Neurology Open     Open Access   (Followers: 5)
Childhood     Hybrid Journal   (Followers: 19, SJR: 0.894, CiteScore: 2)
Childhood Obesity and Nutrition     Open Access   (Followers: 11)
China Information     Hybrid Journal   (Followers: 7, SJR: 0.767, CiteScore: 2)
China Report     Hybrid Journal   (Followers: 10, SJR: 0.221, CiteScore: 0)
Chinese J. of Sociology     Full-text available via subscription   (Followers: 4)
Chronic Illness     Hybrid Journal   (Followers: 6, SJR: 0.672, CiteScore: 2)
Chronic Respiratory Disease     Hybrid Journal   (Followers: 9, SJR: 0.808, CiteScore: 2)
Chronic Stress     Open Access  
Citizenship, Social and Economics Education     Full-text available via subscription   (Followers: 6, SJR: 0.145, CiteScore: 0)
Cleft Palate-Craniofacial J.     Hybrid Journal   (Followers: 8, SJR: 0.757, CiteScore: 1)
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical and Applied Thrombosis/Hemostasis     Open Access   (Followers: 32, SJR: 0.49, CiteScore: 1)
Clinical and Translational Neuroscience     Open Access  
Clinical Case Studies     Hybrid Journal   (Followers: 3, SJR: 0.364, CiteScore: 1)
Clinical Child Psychology and Psychiatry     Hybrid Journal   (Followers: 45, SJR: 0.73, CiteScore: 2)
Clinical EEG and Neuroscience     Hybrid Journal   (Followers: 6, SJR: 0.552, CiteScore: 2)
Clinical Ethics     Hybrid Journal   (Followers: 10, SJR: 0.296, CiteScore: 1)
Clinical Medicine Insights : Arthritis and Musculoskeletal Disorders     Open Access   (Followers: 3, SJR: 0.537, CiteScore: 2)
Clinical Medicine Insights : Blood Disorders     Open Access   (SJR: 0.314, CiteScore: 2)
Clinical Medicine Insights : Cardiology     Open Access   (Followers: 6, SJR: 0.686, CiteScore: 2)
Clinical Medicine Insights : Case Reports     Open Access   (Followers: 1, SJR: 0.283, CiteScore: 1)
Clinical Medicine Insights : Circulatory, Respiratory and Pulmonary Medicine     Open Access   (Followers: 3, SJR: 0.425, CiteScore: 2)
Clinical Medicine Insights : Ear, Nose and Throat     Open Access   (Followers: 1)
Clinical Medicine Insights : Endocrinology and Diabetes     Open Access   (Followers: 33, SJR: 0.63, CiteScore: 2)
Clinical Medicine Insights : Oncology     Open Access   (Followers: 3, SJR: 1.129, CiteScore: 3)
Clinical Medicine Insights : Pediatrics     Open Access   (Followers: 3)
Clinical Medicine Insights : Psychiatry     Open Access   (Followers: 10)
Clinical Medicine Insights : Reproductive Health     Open Access   (Followers: 2, SJR: 0.776, CiteScore: 0)
Clinical Medicine Insights : Therapeutics     Open Access   (Followers: 1, SJR: 0.172, CiteScore: 0)
Clinical Medicine Insights : Trauma and Intensive Medicine     Open Access   (Followers: 4)
Clinical Medicine Insights : Urology     Open Access   (Followers: 3)
Clinical Medicine Insights : Women's Health     Open Access   (Followers: 4)
Clinical Nursing Research     Hybrid Journal   (Followers: 31, SJR: 0.471, CiteScore: 1)
Clinical Pathology     Open Access   (Followers: 3)
Clinical Pediatrics     Hybrid Journal   (Followers: 22, SJR: 0.487, CiteScore: 1)
Clinical Psychological Science     Hybrid Journal   (Followers: 12, SJR: 3.281, CiteScore: 5)
Clinical Rehabilitation     Hybrid Journal   (Followers: 76, SJR: 1.322, CiteScore: 3)
Clinical Risk     Hybrid Journal   (Followers: 5, SJR: 0.133, CiteScore: 0)
Clinical Trials     Hybrid Journal   (Followers: 21, SJR: 2.399, CiteScore: 2)
Clothing and Textiles Research J.     Hybrid Journal   (Followers: 25, SJR: 0.36, CiteScore: 1)
Common Law World Review     Full-text available via subscription   (Followers: 18)
Communication & Sport     Hybrid Journal   (Followers: 8, SJR: 0.385, CiteScore: 1)
Communication and the Public     Hybrid Journal   (Followers: 1)
Communication Disorders Quarterly     Hybrid Journal   (Followers: 17, SJR: 0.458, CiteScore: 1)
Communication Research     Hybrid Journal   (Followers: 21, SJR: 2.171, CiteScore: 3)
Community College Review     Hybrid Journal   (Followers: 9, SJR: 1.451, CiteScore: 1)
Comparative Political Studies     Hybrid Journal   (Followers: 260, SJR: 3.772, CiteScore: 3)
Compensation & Benefits Review     Hybrid Journal   (Followers: 8)
Competition & Change     Hybrid Journal   (Followers: 11, SJR: 0.843, CiteScore: 2)
Competition and Regulation in Network Industries     Full-text available via subscription   (Followers: 8, SJR: 0.143, CiteScore: 0)
Concurrent Engineering     Hybrid Journal   (Followers: 3, SJR: 0.642, CiteScore: 2)
Conflict Management and Peace Science     Hybrid Journal   (Followers: 40, SJR: 2.441, CiteScore: 1)
Contemporary Drug Problems     Full-text available via subscription   (Followers: 3, SJR: 0.609, CiteScore: 2)
Contemporary Education Dialogue     Hybrid Journal   (Followers: 5, SJR: 0.102, CiteScore: 0)
Contemporary Issues in Early Childhood     Full-text available via subscription   (Followers: 8, SJR: 0.766, CiteScore: 1)
Contemporary Review of the Middle East     Full-text available via subscription   (Followers: 12)
Contemporary Sociology : A J. of Reviews     Full-text available via subscription   (Followers: 35, SJR: 0.195, CiteScore: 0)
Contemporary Voice of Dalit     Full-text available via subscription   (Followers: 1)
Contexts     Hybrid Journal   (Followers: 6)

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Similar Journals
Journal Cover
Advances in Methods and Practices in Psychological Science
Number of Followers: 11  
  Full-text available via subscription Subscription journal
ISSN (Print) 2515-2459 - ISSN (Online) 2515-2467
Published by Sage Publications Homepage  [1090 journals]
  • Rock the MIC: The Matrix of Implied Causation, a Tool for Experimental
           Design and Model Checking
    • Authors: Timothy R. Brick, Drew H. Bailey
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      Path modeling and the extended structural equation modeling framework are in increasingly common use for statistical analysis in modern behavioral science. Path modeling, including structural equation modeling, provides a flexible means of defining complex models in a way that allows them to be easily visualized, specified, and fitted to data. Although causality cannot be determined simply by fitting a path model, researchers often use such models as representations of underlying causal-process models. Indeed, causal implications are a vital characteristic of a model’s explanatory value, but these implications are rarely examined directly. When models are hypothesized to be causal, they can be differentiated from one another by examining their causal implications as defined by a combination of the model assumptions, data, and estimation procedure. However, the implied causal relationships may not be immediately obvious to researchers, especially for intricate or long-chain causal structures (as in longitudinal panel designs). We introduce the matrix of implied causation (MIC) as a tool for easily understanding and reporting a model’s implications for the causal influence of one variable on another. With examples from the literature, we illustrate the use of MICs in model checking and experimental design. We argue that MICs should become a routine element of interpretation when models with complex causal implications are examined, and that they may provide an additional tool for differentiating among models with otherwise similar fit.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-06-25T03:54:40Z
      DOI: 10.1177/2515245920922775
  • Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003)
    • Authors: Lincoln J. Colling, Dénes Szűcs, Damiano De Marco, Krzysztof Cipora, Rolf Ulrich, Hans-Christoph Nuerk, Mojtaba Soltanlou, Donna Bryce, Sau-Chin Chen, Philipp Alexander Schroeder, Dion T. Henare, Christine K. Chrystall, Paul M. Corballis, Daniel Ansari, Celia Goffin, H. Moriah Sokolowski, Peter J. B. Hancock, Ailsa E. Millen, Stephen R. H. Langton, Kevin J. Holmes, Mark S. Saviano, Tia A. Tummino, Oliver Lindemann, Rolf A. Zwaan, Jiří Lukavský, Adéla Becková, Marek A. Vranka, Simone Cutini, Irene Cristina Mammarella, Claudio Mulatti, Raoul Bell, Axel Buchner, Laura Mieth, Jan Philipp Röer, Elise Klein, Stefan Huber, Korbinian Moeller, Brenda Ocampo, Juan Lupiáñez, Javier Ortiz-Tudela, Juanma de la Fuente, Julio Santiago, Marc Ouellet, Edward M. Hubbard, Elizabeth Y. Toomarian, Remo Job, Barbara Treccani, Blakeley B. McShane
      First page: 143
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      The attentional spatial-numerical association of response codes (Att-SNARC) effect (Fischer, Castel, Dodd, & Pratt, 2003)—the finding that participants are quicker to detect left-side targets when the targets are preceded by small numbers and quicker to detect right-side targets when they are preceded by large numbers—has been used as evidence for embodied number representations and to support strong claims about the link between number and space (e.g., a mental number line). We attempted to replicate Experiment 2 of Fischer et al. by collecting data from 1,105 participants at 17 labs. Across all 1,105 participants and four interstimulus-interval conditions, the proportion of times the effect we observed was positive (i.e., directionally consistent with the original effect) was .50. Further, the effects we observed both within and across labs were minuscule and incompatible with those observed by Fischer et al. Given this, we conclude that we failed to replicate the effect reported by Fischer et al. In addition, our analysis of several participant-level moderators (finger-counting habits, reading and writing direction, handedness, and mathematics fluency and mathematics anxiety) revealed no substantial moderating effects. Our results indicate that the Att-SNARC effect cannot be used as evidence to support strong claims about the link between number and space.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-06-12T03:42:38Z
      DOI: 10.1177/2515245920903079
  • The Unbearable Lightness of Attentional Cuing by Symbolic Magnitude:
           Commentary on the Registered Replication Report by Colling et al.
    • Authors: Martin H. Fischer, Michael D. Dodd, Alan D. Castel, Jay Pratt
      First page: 163
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.

      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-06-12T03:44:00Z
      DOI: 10.1177/2515245920902743
  • Hidden Invalidity Among 15 Commonly Used Measures in Social and
           Personality Psychology
    • Authors: Ian Hussey, Sean Hughes
      First page: 166
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      It has recently been demonstrated that metrics of structural validity are severely underreported in social and personality psychology. We comprehensively assessed structural validity in a uniquely large and varied data set (N = 144,496 experimental sessions) to investigate the psychometric properties of some of the most widely used self-report measures (k = 15 questionnaires, 26 scales) in social and personality psychology. When the scales were assessed using the modal practice of considering only internal consistency, 88% of them appeared to possess good validity. Yet when validity was assessed comprehensively (via internal consistency, immediate and delayed test-retest reliability, factor structure, and measurement invariance for age and gender groups), only 4% demonstrated good validity. Furthermore, the less commonly a test was reported in the literature, the more likely the scales were to fail that test (e.g., scales failed measurement invariance much more often than internal consistency). This suggests that the pattern of underreporting in the field may represent widespread hidden invalidity of the measures used and may therefore pose a threat to many research findings. We highlight the degrees of freedom afforded to researchers in the assessment and reporting of structural validity and introduce the concept of validity hacking (v-hacking), similar to the better-known concept of p-hacking. We argue that the practice of v-hacking should be acknowledged and addressed.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-04-09T05:21:04Z
      DOI: 10.1177/2515245919882903
  • Average Power: A Cautionary Note
    • Authors: Blakeley B. McShane, Ulf Böckenholt, Karsten T. Hansen
      First page: 185
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      Replication is an important contemporary issue in psychological research, and there is great interest in ways of assessing replicability, in particular, retrospectively via prior studies. The average power of a set of prior studies is a quantity that has attracted considerable attention for this purpose, and techniques to estimate this quantity via a meta-analytic approach have recently been proposed. In this article, we have two aims. First, we clarify the nature of average power and its implications for replicability. We explain that average power is not relevant to the replicability of actual prospective replication studies. Instead, it relates to efforts in the history of science to catalogue the power of prior studies. Second, we evaluate the statistical properties of point estimates and interval estimates of average power obtained via the meta-analytic approach. We find that point estimates of average power are too variable and inaccurate for use in application. We also find that the width of interval estimates of average power depends on the corresponding point estimates; consequently, the width of an interval estimate of average power cannot serve as an independent measure of the precision of the point estimate. Our findings resolve a seeming puzzle posed by three estimates of the average power of the power-posing literature obtained via the meta-analytic approach.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-05-28T02:41:15Z
      DOI: 10.1177/2515245920902370
  • A Conceptual Introduction to Bayesian Model Averaging
    • Authors: Max Hinne, Quentin F. Gronau, Don van den Bergh, Eric-Jan Wagenmakers
      First page: 200
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      Many statistical scenarios initially involve several candidate models that describe the data-generating process. Analysis often proceeds by first selecting the best model according to some criterion and then learning about the parameters of this selected model. Crucially, however, in this approach the parameter estimates are conditioned on the selected model, and any uncertainty about the model-selection process is ignored. An alternative is to learn the parameters for all candidate models and then combine the estimates according to the posterior probabilities of the associated models. This approach is known as Bayesian model averaging (BMA). BMA has several important advantages over all-or-none selection methods, but has been used only sparingly in the social sciences. In this conceptual introduction, we explain the principles of BMA, describe its advantages over all-or-none model selection, and showcase its utility in three examples: analysis of covariance, meta-analysis, and network analysis.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-06-02T08:01:17Z
      DOI: 10.1177/2515245919898657
  • StatBreak: Identifying “Lucky” Data Points Through Genetic
    • Authors: Hannes Rosenbusch, Leon P. Hilbert, Anthony M. Evans, Marcel Zeelenberg
      First page: 216
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      Sometimes interesting statistical findings are produced by a small number of “lucky” data points within the tested sample. To address this issue, researchers and reviewers are encouraged to investigate outliers and influential data points. Here, we present StatBreak, an easy-to-apply method, based on a genetic algorithm, that identifies the observations that most strongly contributed to a finding (e.g., effect size, model fit, p value, Bayes factor). Within a given sample, StatBreak searches for the largest subsample in which a previously observed pattern is not present or is reduced below a specifiable threshold. Thus, it answers the following question: “Which (and how few) ‘lucky’ cases would need to be excluded from the sample for the data-based conclusion to change'” StatBreak consists of a simple R function and flags the luckiest data points for any form of statistical analysis. Here, we demonstrate the effectiveness of the method with simulated and real data across a range of study designs and analyses. Additionally, we describe StatBreak’s R function and explain how researchers and reviewers can apply the method to the data they are working with.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-05-21T03:22:41Z
      DOI: 10.1177/2515245920917950
  • Analysis of Open Data and Computational Reproducibility in Registered
           Reports in Psychology
    • Authors: Pepijn Obels, Daniël Lakens, Nicholas A. Coles, Jaroslav Gottfried, Seth A. Green
      First page: 229
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      Ongoing technological developments have made it easier than ever before for scientists to share their data, materials, and analysis code. Sharing data and analysis code makes it easier for other researchers to reuse or check published research. However, these benefits will emerge only if researchers can reproduce the analyses reported in published articles and if data are annotated well enough so that it is clear what all variable and value labels mean. Because most researchers are not trained in computational reproducibility, it is important to evaluate current practices to identify those that can be improved. We examined data and code sharing for Registered Reports published in the psychological literature from 2014 to 2018 and attempted to independently computationally reproduce the main results in each article. Of the 62 articles that met our inclusion criteria, 41 had data available, and 37 had analysis scripts available. Both data and code for 36 of the articles were shared. We could run the scripts for 31 analyses, and we reproduced the main results for 21 articles. Although the percentage of articles for which both data and code were shared (36 out of 62, or 58%) and the percentage of articles for which main results could be computationally reproduced (21 out of 36, or 58%) were relatively high compared with the percentages found in other studies, there is clear room for improvement. We provide practical recommendations based on our observations and cite examples of good research practices in the studies whose main results we reproduced.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-05-22T03:53:19Z
      DOI: 10.1177/2515245920918872
  • Crud (Re)Defined
    • Authors: Amy Orben, Daniël Lakens
      First page: 238
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      The idea that in behavioral research everything correlates with everything else was a niche area of the scientific literature for more than half a century. With the increasing availability of large data sets in psychology, the “crud” factor has, however, become more relevant than ever before. When referenced in empirical work, it is often used by researchers to discount minute—but statistically significant—effects that are deemed too small to be considered meaningful. This review tracks the history of the crud factor and examines how its use in the psychological- and behavioral-science literature has developed to this day. We highlight a common and deep-seated lack of understanding about what the crud factor is and discuss whether it can be proven to exist or estimated and how it should be interpreted. This lack of understanding makes the crud factor a convenient tool for psychologists to use to disregard unwanted results, even though the presence of a crud factor should be a large inconvenience for the discipline. To inspire a concerted effort to take the crud factor more seriously, we clarify the definitions of important concepts, highlight current pitfalls, and pose questions that need to be addressed to ultimately improve understanding of the crud factor. Such work will be necessary to develop the crud factor into a useful concept encouraging improved psychological research.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-06-11T07:32:30Z
      DOI: 10.1177/2515245920917961
  • Cross-Validation: A Method Every Psychologist Should Know
    • Authors: Mark de Rooij, Wouter Weeda
      First page: 248
      Abstract: Advances in Methods and Practices in Psychological Science, Ahead of Print.
      Cross-validation is a statistical procedure that every psychologist should know. Most are possibly familiar with the procedure in a global way but have not used it for the analysis of their own data. We introduce cross-validation for the purpose of model selection in a general sense, as well as an R package we have developed for this kind of analysis, and we present examples illustrating the use of this package for types of research problems that are often encountered in the social sciences. Cross-validation can be an easy-to-use alternative to null-hypothesis testing, and it has the benefit that it does not make as many assumptions.
      Citation: Advances in Methods and Practices in Psychological Science
      PubDate: 2020-05-27T04:03:29Z
      DOI: 10.1177/2515245919898466
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