Current Practices in Data Analysis Procedures in Psychology: What Has Changed?
This paper analyzes current practices in psychology in the use of research methods and data analysis procedures (DAP) and aims to determine whether researchers are now using more sophisticated and advanced DAP than were employed previously. We reviewed empirical research published recently in promin...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Recursos: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/144517 |
| Acesso em linha: | https://hdl.handle.net/2445/144517 |
| Access Level: | acceso abierto |
| Palavra-chave: | Anàlisi multivariable Investigació quantitativa Anàlisi de regressió Multivariate analysis Quantitative research Regression analysis |
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Current Practices in Data Analysis Procedures in Psychology: What Has Changed?Blanca Mena, M. JoséAlarcón Postigo, RafaelBono Cabré, RoserAnàlisi multivariableInvestigació quantitativaAnàlisi de regressióMultivariate analysisQuantitative researchRegression analysisThis paper analyzes current practices in psychology in the use of research methods and data analysis procedures (DAP) and aims to determine whether researchers are now using more sophisticated and advanced DAP than were employed previously. We reviewed empirical research published recently in prominent journals from the USA and Europe corresponding to the main psychological categories of Journal Citation Reports and examined research methods, number of studies, number and type of DAP, and statistical package. The 288 papers reviewed used 663 different DAP. Experimental and correlational studies were the most prevalent, depending on the specific field of psychology. Two-thirds of the papers reported a single study, although those in journals with an experimental focus typically described more. The papers mainly used parametric tests for comparison and statistical techniques for analyzing relationships among variables. Regarding the former, the most frequently used procedure was ANOVA, with mixed factorial ANOVA being the most prevalent. A decline in the use of non-parametric analysis was observed in relation to previous research. Relationships among variables were most commonly examined using regression models, with hierarchical regression and mediation analysis being the most prevalent procedures. There was also a decline in the use of stepwise regression and an increase in the use of structural equation modeling, confirmatory factor analysis, and hierarchical linear modeling. Overall, the results show that recent empirical studies published in journals belonging to the main areas of psychology are employing more varied and advanced statistical techniques of greater computational complexity.Frontiers Media2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/144517Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.3389/fpsyg.2018.02558Frontiers in Psychology, 2018, vol. 9, p. 2568https://doi.org/10.3389/fpsyg.2018.02558cc-by (c) Blanca, María José et al., 2018http://creativecommons.org/licenses/by/3.0/esinfo:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1445172026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? |
| title |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? |
| spellingShingle |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? Blanca Mena, M. José Anàlisi multivariable Investigació quantitativa Anàlisi de regressió Multivariate analysis Quantitative research Regression analysis |
| title_short |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? |
| title_full |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? |
| title_fullStr |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? |
| title_full_unstemmed |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? |
| title_sort |
Current Practices in Data Analysis Procedures in Psychology: What Has Changed? |
| dc.creator.none.fl_str_mv |
Blanca Mena, M. José Alarcón Postigo, Rafael Bono Cabré, Roser |
| author |
Blanca Mena, M. José |
| author_facet |
Blanca Mena, M. José Alarcón Postigo, Rafael Bono Cabré, Roser |
| author_role |
author |
| author2 |
Alarcón Postigo, Rafael Bono Cabré, Roser |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Anàlisi multivariable Investigació quantitativa Anàlisi de regressió Multivariate analysis Quantitative research Regression analysis |
| topic |
Anàlisi multivariable Investigació quantitativa Anàlisi de regressió Multivariate analysis Quantitative research Regression analysis |
| description |
This paper analyzes current practices in psychology in the use of research methods and data analysis procedures (DAP) and aims to determine whether researchers are now using more sophisticated and advanced DAP than were employed previously. We reviewed empirical research published recently in prominent journals from the USA and Europe corresponding to the main psychological categories of Journal Citation Reports and examined research methods, number of studies, number and type of DAP, and statistical package. The 288 papers reviewed used 663 different DAP. Experimental and correlational studies were the most prevalent, depending on the specific field of psychology. Two-thirds of the papers reported a single study, although those in journals with an experimental focus typically described more. The papers mainly used parametric tests for comparison and statistical techniques for analyzing relationships among variables. Regarding the former, the most frequently used procedure was ANOVA, with mixed factorial ANOVA being the most prevalent. A decline in the use of non-parametric analysis was observed in relation to previous research. Relationships among variables were most commonly examined using regression models, with hierarchical regression and mediation analysis being the most prevalent procedures. There was also a decline in the use of stepwise regression and an increase in the use of structural equation modeling, confirmatory factor analysis, and hierarchical linear modeling. Overall, the results show that recent empirical studies published in journals belonging to the main areas of psychology are employing more varied and advanced statistical techniques of greater computational complexity. |
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2018 |
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2018 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://hdl.handle.net/2445/144517 |
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https://hdl.handle.net/2445/144517 |
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Inglés |
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Inglés |
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Reproducció del document publicat a: https://doi.org/10.3389/fpsyg.2018.02558 Frontiers in Psychology, 2018, vol. 9, p. 2568 https://doi.org/10.3389/fpsyg.2018.02558 |
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cc-by (c) Blanca, María José et al., 2018 http://creativecommons.org/licenses/by/3.0/es info:eu-repo/semantics/openAccess |
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cc-by (c) Blanca, María José et al., 2018 http://creativecommons.org/licenses/by/3.0/es |
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openAccess |
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application/pdf |
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Frontiers Media |
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Frontiers Media |
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Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
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Universidad de Barcelona |
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