The quantitative methods for psychology最新文献_第5页

A Step-By-Step Tutorial for Performing a Moderated Mediation Analysis using PROCESS 使用PROCESS执行适度中介分析的分步教程

The quantitative methods for psychology Pub Date : 2022-10-01 DOI: 10.20982/tqmp.18.3.p258

L. M. Clement, Meenakshie Bradley-Garcia

引用次数: 1

Evaluating Different Scoring Methods for the Speeded Cloze-elide Test: The Application of the {R}asch Partial Credit Model 快速完形填空不同评分方法的评价——应用{R}asch部分信贷模型

The quantitative methods for psychology Pub Date : 2022-10-01 DOI: 10.20982/tqmp.18.3.p241

Farshad Effatpanah, Purya Baghaei

{"title":"Evaluating Different Scoring Methods for the Speeded Cloze-elide Test: The Application of the {R}asch Partial Credit Model","authors":"Farshad Effatpanah, Purya Baghaei","doi":"10.20982/tqmp.18.3.p241","DOIUrl":"https://doi.org/10.20982/tqmp.18.3.p241","url":null,"abstract":"Cloze-elide tests are overall measures of both ﬁrst (L1) and second language (L2) reading comprehension and communicative skills. Research has shown that a time constraint is an effective method to understand individual differences and increase the reliability and validity of tests. The purpose of this study is to investigate the psychometric quality of a speeded cloze-elide test using a ploytomous Rasch model, called partial credit model (PCM), by inspecting the ﬁt of four different scoring techniques. To this end, responses of 150 English as a foreign language (EFL) students to a speeded cloze-elide test was analyzed. The comparison of different scoring techniques revealed that scoring based on wrong scores can better explain variability in the data. The results of PCM indicated that the assumptions of unidimensionality holds for the speeded cloze-elide test. However, the results of partial credit analysis of data structure revealed that a number of categories do not increase with category values. Finally, suggestions for further research, to better take advantage of the ﬂexibilities of item response theory and Rasch models for explaining count data, will be presented.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43121044","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}

引用次数: 0

La validité psychométrique est d'abord un jugement : une perspective pragmatique 心理测量有效性首先是一种判断：一种务实的观点

The quantitative methods for psychology Pub Date : 2022-10-01 DOI: 10.20982/tqmp.18.3.p224

N. André, L. Laurencelle

引用次数: 0

Computation of cumulative density of noncentral chi-square distribution in Excel Excel中非中心卡方分布累积密度的计算

The quantitative methods for psychology Pub Date : 2022-10-01 DOI: 10.20982/tqmp.18.3.p255

Prasanth Sambaraju

引用次数: 0

Le tau de Kendall et deux variantes pour mesurer la cohérence de variation entre deux séries ordinales, leurs propriétés et leurs valeurs critiques "honnêtes" Kendall tau和两个变量来测量两个序数序列之间的变化一致性，它们的性质和它们的“诚实”临界值

The quantitative methods for psychology Pub Date : 2022-07-01 DOI: 10.20982/tqmp.18.2.p196

L. Laurencelle

{"title":"Le tau de Kendall et deux variantes pour mesurer la cohérence de variation entre deux séries ordinales, leurs propriétés et leurs valeurs critiques \"honnêtes\"","authors":"L. Laurencelle","doi":"10.20982/tqmp.18.2.p196","DOIUrl":"https://doi.org/10.20982/tqmp.18.2.p196","url":null,"abstract":"A measure of the consistency of variation in a bivariate series of ordinal data, Kendall’s tau ( τ ) has properties and exhibits distributional characteristics that are distinct from Pearson’s r , each coeﬃcient deserving its own interpretation. We examine in detail these properties of the τ and two variants, the τ b and τ c , together with the nuances that distinguish them. We then bring out the peculiarities of their probability distribution. The statistical test of the τ gives rise to a forum where different approaches are discussed, including the use of \"strict\" vs. \"honest\" critical values and the familiar normal approximation. A fairly extensive table of critical values of both kinds is also provided. Mesure de la coh´erence de variation entre deux s´eries de donn´ees ordinales, le tau ( τ ) de Kendall a des propri´et´es et pr´esente des caract´eristiques distributionnelles distinctes de celles du r de Pearson, chaque coeﬃcient ayant son interpr´etation propre. Nous examinons dans le d´etail les propri´et´es du τ et de deux de ses variantes, le τ b et le τ c , de mˆeme que les nuances qui les distinguent. Nous mettons ensuite au jour les particularit´es de leur distribution de probabilit´es. Le test de signiﬁcativit´e du τ donne lieu `a une tribune o`u sont discut´ees diff´erentes approches, incluant le recours `a des valeurs critiques « honnˆetes » versus « strictes » et `a l’approximation normale classique. Un tableau assez fourni de valeurs critiques des deux sortes est aussi inclus.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42389666","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}

引用次数: 0

image2data: An R package to turn images in data sets image2data：一个在数据集中转换图像的R包

The quantitative methods for psychology Pub Date : 2022-07-01 DOI: 10.20982/tqmp.18.2.p186

Pier-Olivier Caron, A. Dufresne

引用次数: 0

A Scoping Review of Latent Moderated Structural Equations and Recommendations 潜在调节结构方程的范围综述及建议

The quantitative methods for psychology Pub Date : 2022-07-01 DOI: 10.20982/tqmp.18.2.p152

Sébastien Béland, Stéphanie Girard, Audrey-Anne de Guise

引用次数: 0

Focusing on structural features of a scenario: An activity on expected frequencies, deviations, and chi-square contributions 关注场景的结构特征：关于预期频率、偏差和卡方贡献的活动

The quantitative methods for psychology Pub Date : 2022-07-01 DOI: 10.20982/tqmp.18.2.v001

Véronique Chadillon-Farinacci

引用次数: 0

Testing difference in two proportions using D2prop macro in SPSS 使用SPSS中的D2prop宏检验两个比例的差异

The quantitative methods for psychology Pub Date : 2022-07-01 DOI: 10.20982/tqmp.18.2.p181

A. Daryanto

引用次数: 0

Une introduction aux modèles de régressions multiniveaux avec R 介绍了具有R的多级回归模型

The quantitative methods for psychology Pub Date : 2022-07-01 DOI: 10.20982/tqmp.18.2.p168

Félix Duplessis-Marcotte, Raphaël Lapointe, P. Caron

{"title":"Une introduction aux modèles de régressions multiniveaux avec R","authors":"Félix Duplessis-Marcotte, Raphaël Lapointe, P. Caron","doi":"10.20982/tqmp.18.2.p168","DOIUrl":"https://doi.org/10.20982/tqmp.18.2.p168","url":null,"abstract":"La crise de reproductibilit´e en psychologie est en partie caus´ee par l’utilisation d’ana-lyses statistiques inadapt´ees aux donn´ees r´ecolt´ees. Les donn´ees ont souvent des caract´eristiques importantes `a consid´erer, comme lorsque celles-ci sont nich´ees dans diff´erents groupes (p. ex. re-cruter plusieurs ´el`eves dans diff´erentes classes). Dans ce cas, cela fait en sorte que le postulat de normalit´e des mod`eles lin´eaires g´en´eraux n’est pas respect´e. Ignorer ce postulat d’ind´ependance en utilisant un mod`ele lin´eaire g´en´eral peut mener `a des r´esultats erron´es, comme des faux posi-tifs, des biais ou une perte de puissance. Les analyses de r´egressions multiniveaux r´epondent `a ce probl`eme et assurent la validit´e des r´esultats obtenus. Cet article se veut un tutoriel couvrant les principes g´en´eraux sous-jacents aux r´egressions multiniveaux pour analyser des donn´ees nich´ees. Des donn´ees pseudoal´eatoires sont g´en´er´ees avec R et analys´ees avec des r´egressions multiniveaux aﬁn de d´emontrer la valeur ajout´ee de consid´erer la hi´erarchisation des donn´ees quant `a la validit´e des r´esultats. De plus, cet article fournit, ´etape par ´etape, la syntaxe R pour faciliter l’utilisation des analyses multiniveaux et l’adaptation de celles-ci aux donn´ees des lecteurs.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48156956","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}

引用次数: 3