The quantitative methods for psychology最新文献

{"title":"Étude comparative de trois fonctions de transformation d'une proportion (Anscombe, 1948 -- Freeman-Tukey, 1950 -- Chanter 1975)","authors":"L. Laurencelle","doi":"10.20982/tqmp.17.3.p166","DOIUrl":"https://doi.org/10.20982/tqmp.17.3.p166","url":null,"abstract":"","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68080040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empirical vs. factorial validity in personality inventories: The MMPI-2 and the restructured RC scales","authors":"M. Parisien","doi":"10.20982/tqmp.17.3.p329","DOIUrl":"https://doi.org/10.20982/tqmp.17.3.p329","url":null,"abstract":"","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45864460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validité empirique versus validité factorielle dans les inventaires de personnalité : le MMPI-2 et les échelles restructurées RC.// Empirical validity versus factorial validity in personality inventories: The MMPI-2 and the restructured RC scales","authors":"M. Parisien","doi":"10.20982/tqmp.17.2.p087","DOIUrl":"https://doi.org/10.20982/tqmp.17.2.p087","url":null,"abstract":"Depuis 2003, plusieurs publications américaines ont paru sur les «Échelles Cliniques Restructurées RC». Ces échelles ont été construites en contradiction avec la stratégie psychométrique empirique adoptée d’emblée pour le MMPI (1943) et le MMPI-2 (1989). Les échelles RC sont plutôt basées sur une stratégie théorique-factorielle, que les experts de longue date des MMPI/MMPI-2 désavouent parce qu’elle ne remplit pas sa promesse de validité. En 2003, les échelles RC (Tellegen et coll., 2003) ont d’abord été ajoutées arbitrairement à l’ensemble des échelles empiriques du MMPI2. Puis, en 2008 (voir Tellegen et Ben-Porath), elles ont plutôt été intégrées comme un atout à un tout nouvel instrument basé sur l’analyse factorielle, appelé MMPI-2-RF sur la seule base de l’emprunt de 338 des 567 items du MMPI-2. Le présent article a donc comme toile de fond la compromission possible du plus important test de personnalité utilisé en expertise psycholégale et en contexte clinique. Le but est de faire le point à la fois sur les fondements psychométriques duMMPI-2, ainsi que sur la valeur de ces échelles RC (Tellegen et coll., 2003) en affrontement maintenant ouvert avec le MMPI-2. Since 2003, several American publications have appeared on the \"Restructured Clinical Scales RC\". These scales were constructed in contradiction with the empirical psychometric strategy adopted from the outset for the MMPI (1943) and MMPI-2 (1989). Rather, RC scales are based on a theoretical-factorial strategy, which longtime MMPI / MMPI-2 experts disavow because they do not fulfill their promise of validity. In 2003, these RC scales (Tellegen et al., 2003) were first arbitrarily grafted to the set of empirical MMPI-2 scales. Then, in 2008 (see Tellegen and Ben-Porath), they were instead integrated as an asset to a brand new instrument based on factor analysis, called MMPI-2RF on the sole basis of the borrowing of 338 of the 567 items of the MMPI-2. The background to this article is therefore the possible compromise of the most important personality test used in forensic expertise and in a clinical context. The goal is to review both the psychometric foundations of MMPI-2, as well as the value of these RC scales (Tellegen et al., 2003) in the now open confrontation","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":"20 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41300162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The exact binomial test between two independent proportions: A companion","authors":"L. Laurencelle","doi":"10.20982/tqmp.17.2.p076","DOIUrl":"https://doi.org/10.20982/tqmp.17.2.p076","url":null,"abstract":"aUniversité d’Ottawa Abstract This note, a summary in English of a former article in French (Laurencelle, 2017), presents an outline of the theory and implementation of an exact test of the difference between two binomial variables. Essential formulas are provided, as well as two executable computer programs, one in Delphi, the other in R.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43629952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using the Weighted Kendall Distance to Analyze Rank Data in Psychology","authors":"Johnny van Doorn, M. Lee, Holly A. Westfall","doi":"10.20982/TQMP.17.2.P154","DOIUrl":"https://doi.org/10.20982/TQMP.17.2.P154","url":null,"abstract":"Although the Kendall distance is a standard metric in computer science, it is less widely used in psychology. We demonstrate the usefulness of the Kendall distance for analyzing psychological data that take the form of ranks, lists, or orders of items. We focus on weighted extensions of the metric that allow for heterogeneity of item importance, item position, and item similarity, as well showing how the metric can accommodate missingness in the form of top-k lists. To demonstrate how the Kendall distance can help address research questions in psychology, we present four applications to previous data. These applications involve the recall of events on September 11, people's preference rankings for the months of the year, people's free recall of animal names in a clinical setting, and expert predictions involving American football outcomes.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43738456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Dynamic Graphics to Teach the Sampling Distribution with Active Learning","authors":"Kathryn J. Hoisington-Shaw, J. Pek","doi":"10.20982/tqmp.17.2.v001","DOIUrl":"https://doi.org/10.20982/tqmp.17.2.v001","url":null,"abstract":"The sampling distribution and the Central Limit Theorem (CLT) are the basis for many statistical procedures and inferences. Despite their ubiquitous nature in statistics, these concepts are some of the most abstract and difficult for students to understand. To foster a deeper understanding of these concepts, a webbased application was created that uses dynamic graphics to illustrate the concepts and engage students with active learning. We provide an outline of three in-class activities using the web application to promote the learning of population distributions, simple random sampling, sampling variability, the idea of a statistic, the sampling distribution, the Law of Large Numbers, and the CLT. These in-class activities tie the concepts together and place emphasis on their role as building blocks of statistical inference. By linking abstract theoretical concepts together before introducing statistical inference, the web application facilitates statistical thinking that students can utilize both inside and outside the classroom.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47103095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The variance sum law and its implications for modelling","authors":"Pier-Olivier Caron, Laura Lemardelet","doi":"10.20982/tqmp.17.2.p080","DOIUrl":"https://doi.org/10.20982/tqmp.17.2.p080","url":null,"abstract":"Basic understanding of linear model is primordial in quantitative psychology and modelling. As an advanced topic for students in psychology, modelling data according to given sets of parameters can be challenging. In this paper, we address the variance sum law which states how to combine variance of variables into a new one. The paper uses a progressive pedagogical approach, presenting step by step the statistical prerequisites. An example with code in R is offered to support the presentation. Some matrix algebra is gently introduced to stimulate readers to more advanced topics.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48150910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of exposure duration and context length on word recall: A replication of Tulving et al. (1964)","authors":"Meenakshie Bradley-Garcia","doi":"10.20982/tqmp.17.2.r001","DOIUrl":"https://doi.org/10.20982/tqmp.17.2.r001","url":null,"abstract":"Tulving and colleagues (1964) pioneered the study of word recognition by investigating the influence of exposure duration and context length on accurate word identification. The present experiment aimed to replicate the original methodology with modern technology and a demographically heterogeneous sample. Male and female participants (n = 58) between 18-69 years with varying levels of education and who identified English or French as their dominant language were randomly assigned to a context length condition containing either 0, 2, 4, or 8 words from specific sentences. Participants were shown 18 target words for 16.67 ms and asked to type the target word after each one was presented. Participants were then instructed to type each target word in a corresponding fragmented sentence which varied in length according to the number of context words presented (0-, 2-, 4-, or 8-word context). The procedure was repeated for 6 subsequent exposure durations (33.33, 50.00, 66.67, 83.33, 100.00, and 116.67 ms). Repeated Measures ANOVA indicated a significant effect of exposure duration and context length on accurate recall (p < .002). These results corroborate those found by Tulving et al. (1964). No significant interaction was observed between these two variables on recall accuracy (p > .05) compared to what was demonstrated by Tulving et al. (1964). This suggests that the robust memory enhancing effects of longer exposure durations during encoding and longer context lengths during retrieval are reliably observed across a diverse participant sample. To improve generalizability, follow-up studies should use a larger participant sample to determine how demographic factors, including age, sex, education, and language, may influence the effects of exposure duration and context length on word recognition in recall tasks.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42977180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to Python's Syntax","authors":"Kinsey Church, Thadde Rolon-Merette, Matt Ross, Damien Rolon-Mérette","doi":"10.20982/TQMP.17.1.S001","DOIUrl":"https://doi.org/10.20982/TQMP.17.1.S001","url":null,"abstract":"This tutorial is the second in our series and covers basic syntax in Python with examples related to psychology. The aim is to teach programming beginners and experts alike the fundamentals required in order to smooth the learning curve and succeed with integrating Python with their research. It starts by covering basic built-in functions and variable creation. Next, different data types and data structures that you will encounter are covered detail, followed by comments and best commenting practices. Finally, indentation, logic, conditional statements, and loops are all explained with simple, illustrative examples. The tutorial ends with a comprehensive example of the same-different task from cognition that ties together everything learned. With this foundation, the reader will gain the confidence to begin practicing Python on their own and think of ways to incorporate it into their own research and daily lives.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45562933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science","authors":"Gáspár Lukács","doi":"10.20982/TQMP.17.1.P007","DOIUrl":"https://doi.org/10.20982/TQMP.17.1.P007","url":null,"abstract":"Performing the entire transition from raw data to reportable statistics can pose difficulties: it takes time, it allows various mistakes (that may or may not go unnoticed), and there are no general guidelines on how to proceed with this task. One particularly useful tool for this transition is the R programming language. However, how to use R for this is not trivial, especially for novices. The present paper serves as a step-by-step yet fast tutorial on how to make all the steps from raw data files to all the statistics normally needed in a conventional psychological experiment (including ANOVA and t-tests). At the same time, it also introduces the R package neatStats, which was created for the very purpose of making these steps as easy and straightforward as possible.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43276779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}