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Journal articles on the topic 'Psychology – Statistical methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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1

Gudgeon, Andrew C., and David C. Howell. "Statistical Methods for Psychology." Statistician 43, no. 1 (1994): 211. http://dx.doi.org/10.2307/2348956.

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2

Fridjhon, Peter. "Book Review: Statistical Methods for Psychology (3rd Edition)." South African Journal of Psychology 24, no. 2 (1994): 112. http://dx.doi.org/10.1177/008124639402400211.

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3

Gullickson, Terri. "Review of Statistical Methods in Education and Psychology." Contemporary Psychology: A Journal of Reviews 41, no. 12 (1996): 1224. http://dx.doi.org/10.1037/003310.

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4

Wilkinson, Leland. "Statistical methods in psychology journals: Guidelines and explanations." American Psychologist 54, no. 8 (1999): 594–604. http://dx.doi.org/10.1037/0003-066x.54.8.594.

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5

Hamilton, Kyra, Marta M. Marques, and Blair T. Johnson. "Advanced analytic and statistical methods in health psychology." Health Psychology Review 11, no. 3 (2017): 217–21. http://dx.doi.org/10.1080/17437199.2017.1348905.

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6

Haig, Brian D. "Statistical Methods in Education and Psychology: A Critical Perspective." Australian Journal of Education 40, no. 2 (1996): 190–209. http://dx.doi.org/10.1177/000494419604000206.

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This paper offers a sympathetic, but critical, perspective on selected statistical methods relevant to both educational and psychological research. I argue that the classical statistical procedures used in these fields should, where appropriate, be deployed in the service of a more liberal realist conception of research. In this regard, it is claimed that the principal function of statistical methods is to help us detect robust empirical phenomena. With this in mind, I suggest that exploratory factor analysis is a quasi-statistical method that serves an important role in the generation of new

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7

Steiger, James H. "Paul Meehl and the evolution of statistical methods in psychology." Applied and Preventive Psychology 11, no. 1 (2004): 69–72. http://dx.doi.org/10.1016/j.appsy.2004.02.012.

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8

Stock, William. "Statistical Methods for Meta-Analysi's." Applied Psychological Measurement 11, no. 1 (1987): 104–6. http://dx.doi.org/10.1177/014662168701100108.

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9

MURAI, JUN'ICHIRO. "Review of Social Psychology Studies in Educational Psychology and Examination of Research and Statistical Methods." Annual Report of Educational Psychology in Japan 56 (2017): 63–78. http://dx.doi.org/10.5926/arepj.56.63.

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10

Abney, Steven. "Statistical methods in language processing." Wiley Interdisciplinary Reviews: Cognitive Science 2, no. 3 (2010): 315–22. http://dx.doi.org/10.1002/wcs.111.

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11

Tredoux, Colin. "Review: Version 3 (Psychology and Education) of Essentials of Statistical Methods." South African Journal of Psychology 29, no. 3 (1999): 144. http://dx.doi.org/10.1177/008124639902900307.

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12

Haig, Brian D. "Explaining the use of statistical methods." American Psychologist 55, no. 8 (2000): 962–63. http://dx.doi.org/10.1037/0003-066x.55.8.962.

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13

Roush, F. W. "Essentials of statistical methods." Mathematical Social Sciences 27, no. 1 (1994): 119–20. http://dx.doi.org/10.1016/0165-4896(94)00734-9.

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14

Veilleux, Jennifer C., and Kate M. Chapman. "Development of a Research Methods and Statistics Concept Inventory." Teaching of Psychology 44, no. 3 (2017): 203–11. http://dx.doi.org/10.1177/0098628317711287.

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Research methods and statistics are core courses in the undergraduate psychology major. To assess learning outcomes, it would be useful to have a measure that assesses research methods and statistical literacy beyond course grades. In two studies, we developed and provided initial validation results for a research methods and statistical knowledge concept inventory for eventual use in further scholarship of teaching and learning. In Study 1, we created vignettes and administered open-ended questions to psychology subject pool students. In Study 2, we refined the vignettes and created multiple-

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15

Burchinal, Margaret R. "Statistical Methods for Describing Developmental Patterns." Early Education & Development 10, no. 1 (1999): 83–99. http://dx.doi.org/10.1207/s15566935eed1001_6.

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16

Kintz, B. L. "Merging Two Ideas: Statistical Methods and Research Design." Contemporary Psychology: A Journal of Reviews 37, no. 2 (1992): 157. http://dx.doi.org/10.1037/031907.

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17

Field, Andy P., and Rand R. Wilcox. "Robust statistical methods: A primer for clinical psychology and experimental psychopathology researchers." Behaviour Research and Therapy 98 (November 2017): 19–38. http://dx.doi.org/10.1016/j.brat.2017.05.013.

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18

Harlow, Lisa L., Elly Korendijk, Ellen L. Hamaker, Joop Hox, and Sunny R. Duerr. "A Meta-View of Multivariate Statistical Inference Methods in European Psychology Journals." Multivariate Behavioral Research 48, no. 5 (2013): 749–74. http://dx.doi.org/10.1080/00273171.2013.822784.

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19

Hardwicke, Tom E., Michael C. Frank, Simine Vazire, and Steven N. Goodman. "Should Psychology Journals Adopt Specialized Statistical Review?" Advances in Methods and Practices in Psychological Science 2, no. 3 (2019): 240–49. http://dx.doi.org/10.1177/2515245919858428.

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Readers of peer-reviewed research may assume that the reported statistical analyses supporting scientific claims have been closely scrutinized and surpass a high-quality threshold. However, widespread misunderstanding and misuse of statistical concepts and methods suggests that suboptimal or erroneous statistical practice is routinely overlooked during peer review in psychology. Here, we explore whether psychology journals could ameliorate some of the field’s statistical ailments by adopting specialized statistical review: a focused technical assessment, performed by statistical experts, that

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20

Brase, Gary L., Laurence Fiddick, and Clare Harries. "Participant recruitment methods and statistical reasoning performance." Quarterly Journal of Experimental Psychology 59, no. 5 (2006): 965–76. http://dx.doi.org/10.1080/02724980543000132.

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Optimal Bayesian reasoning performance has reportedly been elusive, and a variety of explanations have been suggested for this situation. In a series of experiments, it is demonstrated that these difficulties with replication can be accounted for by differences in participant-sampling methodologies. Specifically, the best performances are obtained with students from top-tier, national universities who were paid for their participation. Performance drops significantly as these conditions are altered regarding inducements (e.g., using unpaid participants) or participant source (e.g., using parti

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21

Schinka, John A., Leif LaLone, and Jo Ann Broeckel. "Statistical Methods in Personality Assessment Research." Journal of Personality Assessment 68, no. 3 (1997): 487–96. http://dx.doi.org/10.1207/s15327752jpa6803_2.

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22

Dunn, G. "Statistical methods for measuring outcomes." Social Psychiatry and Psychiatric Epidemiology 29, no. 5 (1994): 198–204. http://dx.doi.org/10.1007/bf00796377.

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23

VanderStoep, Scott W., and John J. Shaughnessy. "Taking a Course in Research Methods Improves Reasoning about Real-Life Events." Teaching of Psychology 24, no. 2 (1997): 122–24. http://dx.doi.org/10.1207/s15328023top2402_8.

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We examined the extent to which students who take a course in research methods improve their reasoning about real-life events. Because social science majors improve their methodological and statistical reasoning during 4 years of college (Lehman & Nisbett, 1990), a logical source of this improvement in psychology would be the Research Methods course. We tested students in Research Methods and in Developmental Psychology on methodological and statistical reasoning at the beginning and the end of the term. As expected, reasoning scores of Research Methods students improved more than did scor

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24

Faraone, Stephen V., and Donald D. Dorfman. "Lag sequential analysis: Robust statistical methods." Psychological Bulletin 101, no. 2 (1987): 312–23. http://dx.doi.org/10.1037/0033-2909.101.2.312.

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25

Ward, Roger A., and Anthony F. Grasha. "Using Astrology to Teach Research Methods to Introductory Psychology Students." Teaching of Psychology 13, no. 3 (1986): 143–45. http://dx.doi.org/10.1207/s15328023top1303_11.

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A classroom demonstration designed to test an astrological hypothesis can help teach introductory psychology students about research design and data interpretation. The activity illustrates differences between science and nonscience, the role of theory in developing and testing hypotheses, making comparisons among groups, probability and statistical significance, and the complications involved in interpreting research data.

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26

Tasca, Giorgio A. "Statistical methods in group psychology and group psychotherapy: Introduction to the special issue." Group Dynamics: Theory, Research, and Practice 20, no. 3 (2016): 121–25. http://dx.doi.org/10.1037/gdn0000054.

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27

Van Boxtel, Geert J. M. "Computational and statistical methods for analyzing event-related potential data." Behavior Research Methods, Instruments, & Computers 30, no. 1 (1998): 87–102. http://dx.doi.org/10.3758/bf03209419.

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28

Miller, L. S., and M. Rohling. "Statistical interpretive methods for difficult neuropsychological test data." Archives of Clinical Neuropsychology 14, no. 1 (1999): 86–87. http://dx.doi.org/10.1093/arclin/14.1.86b.

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29

Vinogradov, A. G. "USING R FOR PSYCHOLOGICAL RESEARCH: A TUTORIAL OF BASIC METHODS." Ukrainian Psychological Journal, no. 2 (14) (2020): 28–63. http://dx.doi.org/10.17721/upj.2020.2(14).2.

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The article belongs to a special modern genre of scholar publications, so-called tutorials – articles devoted to the application of the latest methods of design, modeling or analysis in an accessible format in order to disseminate best practices. The article acquaints Ukrainian psychologists with the basics of using the R programming language to the analysis of empirical research data. The article discusses the current state of world psychology in connection with the Crisis of Confidence, which arose due to the low reproducibility of empirical research. This problem is caused by poor quality o

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30

Bauer, Stephanie, Michael J. Lambert, and Steven Lars Nielsen. "Clinical Significance Methods: A Comparison of Statistical Techniques." Journal of Personality Assessment 82, no. 1 (2004): 60–70. http://dx.doi.org/10.1207/s15327752jpa8201_11.

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31

Yang, Gao Sheng, and Jie Ju. "The Statistical Analysis of Safe Behavior Habits' Culturing Methods on Construction Workers." Applied Mechanics and Materials 256-259 (December 2012): 3043–48. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.3043.

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The construction workers' unsafe behavior is the direct cause of security incidents. Analysis the formation mechanism of construction workers' unsafe behavior from the perspective of behavior psychology,and find out the factors affecting the safe behavior of construction workers ,among the factors,the most critical is fostering safe behavior habits. Through the questionnaire survey on the management of the building units in Nanjing and using the SPSS software to conduct the statistical analysis of the four methods of fostering safe behavior habits. The conclusion is that the safe education and

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32

No authorship indicated. "Review of Statistical Methods for the Social and the Behavioral Sciences." Contemporary Psychology: A Journal of Reviews 34, no. 4 (1989): 413. http://dx.doi.org/10.1037/027996.

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33

Zumbo, Bruno D., and Donald W. Zimmerman. "Is the selection of statistical methods governed by level of measurement?" Canadian Psychology/Psychologie canadienne 34, no. 4 (1993): 390–400. http://dx.doi.org/10.1037/h0078865.

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34

Hoormann, J., M. Falkenstein, P. Schwarzenau, and J. Hohnsbein. "Methods for the quantification and statistical testing of ERP differences across conditions." Behavior Research Methods, Instruments, & Computers 30, no. 1 (1998): 103–9. http://dx.doi.org/10.3758/bf03209420.

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35

Banks, David L. "Operational Subjective Statistical Methods , by F. Lad." Journal of Classification 16, no. 1 (1999): 141–43. http://dx.doi.org/10.1007/s003579900047.

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36

Bertelsen, Thomas B., Asle Hoffart, Sondre Sverd Rekdal, and Rune Zahl-Olsen. "Bayes factor benefits for clinical psychology: review of child and adolescent evidence base." F1000Research 11 (September 23, 2022): 171. http://dx.doi.org/10.12688/f1000research.76842.2.

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Background: Statistical methods are a cornerstone of research in clinical psychology and are used in clinical trials and reviews to determine the best available evidence. The most widespread statistical framework, frequentist statistics, is often misunderstood and misused. Even when properly applied, this framework can lead to erroneous conclusions and unnecessarily prolonged trials. The implications for clinical psychology are difficulties in interpreting best available evidence and unnecessarily costly and burdensome research. An alternative framework, Bayesian statistics, is proposed as a s

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37

Bertelsen, Thomas B., Asle Hoffart, Sondre Sverd Rekdal, and Rune Zahl-Olsen. "Bayes factor benefits for clinical psychology: review of child and adolescent evidence base." F1000Research 11 (February 11, 2022): 171. http://dx.doi.org/10.12688/f1000research.76842.1.

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Background: Statistical methods are a cornerstone of research in clinical psychology and are used in clinical trials and reviews to determine the best available evidence. The most widespread statistical framework, frequentist statistics, is often misunderstood and misused. Even when properly applied, this framework can lead to erroneous conclusions and unnecessarily prolonged trials. The implications for clinical psychology are difficulties in interpreting best available evidence and unnecessarily costly and burdensome research. An alternative framework, Bayesian statistics, is proposed as a s

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38

Nishat Zafar , Muhammad Hafeez, Saira,. "A Critical Review on Discussion and Traditional Teaching Methods." Psychology and Education Journal 58, no. 1 (2021): 1871–86. http://dx.doi.org/10.17762/pae.v58i1.1042.

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Teaching strategy is an important part of learning. Without suitable learning method, the required goals cannot be achieved. A review study comprises of descriptive and statistical results of previous published articles on traditional lecture and discussion teaching methods has been conducted. Thirty (30) articles published from 2014-2020 have selected for the review. The review of literature indicated that form 30 selected articles, 24 articles showed statistically higher significant value for discussion teaching method and only six articles showed low significant value form discussion teachi

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39

Pattison, Philippa, and Stanley Wasserman. "Constructing Algebraic Models for Local Social Networks Using Statistical Methods." Journal of Mathematical Psychology 39, no. 1 (1995): 57–72. http://dx.doi.org/10.1006/jmps.1995.1005.

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40

James Lamiell. "From Psychology to Psychodemography: How the Adoption of Population-Level Statistical Methods Transformed Psychological Science." American Journal of Psychology 131, no. 4 (2018): 471. http://dx.doi.org/10.5406/amerjpsyc.131.4.0471.

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41

Rollins, Adam, Eric L. Oslund, Kelli Wallace, and Daren Li. "Statistical methods and reporting practices in the study of dyslexia." Dyslexia 25, no. 1 (2018): 103–12. http://dx.doi.org/10.1002/dys.1602.

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42

Ren, Cong Jing, and Yang Liu. "Information Quantitative Analysis on Psychological Research." Applied Mechanics and Materials 610 (August 2014): 680–85. http://dx.doi.org/10.4028/www.scientific.net/amm.610.680.

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With the fast development of the theories and techniques in information science in recent years, a variety of new methods have been used to help scholars in other fields manage the corresponding knowledge. This paper applied the research methods of information science to psychology to analyze the literature in psychology cited by ISI Web of Knowledge, then got a better understanding of psychology science. In order to understand the dynamics of psychology science, we conducted a quantitative analysis based on 8137 articles cited by SCI or SSCI, and used CiteSpace II to visualize the trends and

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43

Carter, Evan C., Felix D. Schönbrodt, Will M. Gervais, and Joseph Hilgard. "Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods." Advances in Methods and Practices in Psychological Science 2, no. 2 (2019): 115–44. http://dx.doi.org/10.1177/2515245919847196.

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Publication bias and questionable research practices in primary research can lead to badly overestimated effects in meta-analysis. Methodologists have proposed a variety of statistical approaches to correct for such overestimation. However, it is not clear which methods work best for data typically seen in psychology. Here, we present a comprehensive simulation study in which we examined how some of the most promising meta-analytic methods perform on data that might realistically be produced by research in psychology. We simulated several levels of questionable research practices, publication

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44

Wilkinson, Leland. "Graphs for Research in Counseling Psychology." Counseling Psychologist 27, no. 3 (1999): 384–407. http://dx.doi.org/10.1177/0011000099273005.

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Statistical graphics are indispensable to good scientific research. This article highlights effective graphical methods for (a) screening and cleaning data, (b) exploring and identifying models, and (c) displaying data in counseling psychology publications. The motivating principle for this presentation is that graphs are not ancillary to scientific publications. They are essential and, in some cases, sufficient expositions of results.

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45

Kleka, Paweł, and Władysław Jacek Paluchowski. "Shortening of psychological tests – assumptions, methods and doubts." Polish Psychological Bulletin 48, no. 4 (2017): 516–22. http://dx.doi.org/10.1515/ppb-2017-0058.

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Abstract In this article, on the basis of questionnaire data collected for other purposes, the Authors want to show the consequences of various methods of shortening of tests and what may result from such an action for diagnosticians, researchers and examined individuals. The research aim of the work is to show the best method of shortening of the scale of questionnaires. Will shortening of a questionnaire according to different statistical techniques bring the same results? Will the quality of shortened scales be comparable? Is any of statistical techniques better for shortening of the scale

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46

Wilcox, Rand R. "How many discoveries have been lost by ignoring modern statistical methods?" American Psychologist 53, no. 3 (1998): 300–314. http://dx.doi.org/10.1037/0003-066x.53.3.300.

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47

Schinka, John A., and Roger L. Greene. "SPECIAL SERIES*: Advances in Statistical methods for Personality Assessment Research." Journal of Personality Assessment 68, no. 3 (1997): 485–86. http://dx.doi.org/10.1207/s15327752jpa6803_1.

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48

Schulze, Ralf. "Current Methods for Meta-Analysis." Zeitschrift für Psychologie / Journal of Psychology 215, no. 2 (2007): 90–103. http://dx.doi.org/10.1027/0044-3409.215.2.90.

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Abstract. The bulk of conceptual and statistical developments as well as applications of meta-analysis have been published in the last 30 years. The methods for meta-analysis continue to be refined and new methods are applied to new types of research questions and data. Such current approaches, issues, and developments prevalent in the behavioral sciences are presented, reviewed, and discussed in this paper. The areas that are covered include: the fixed effects and random effects model of meta-analysis, new findings concerning effect sizes and their statistical properties, the comparison of di

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49

Campitelli, Guillermo, Guillermo Macbeth, Raydonal Ospina, and Fernando Marmolejo-Ramos. "Three Strategies for the Critical Use of Statistical Methods in Psychological Research." Educational and Psychological Measurement 77, no. 5 (2016): 881–95. http://dx.doi.org/10.1177/0013164416668234.

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We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies have been proposed earlier, so we do not claim originality. Here we propose to combine the three strategies and use them not only as analytical and reporting tools but also to guide the design of research. The first strategy involves a visual representat

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50

Caulkins, Jonathan, Jacqueline Cohen, Wilpen Gorr, and Jifa Wei. "Predicting criminal recidivism: A comparison of neural network models with statistical methods." Journal of Criminal Justice 24, no. 3 (1996): 227–40. http://dx.doi.org/10.1016/0047-2352(96)00012-8.

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