The quantitative methods for psychology最新文献_第3页

Effects of violating the assumptions of equal variance and independent and identically distributed random variables: A case using {B}ayesian statistical modeling 违反等方差和独立同分布随机变量假设的影响:一个使用{B}叶氏统计模型的案例

The quantitative methods for psychology Pub Date : 2023-10-01 DOI: 10.20982/tqmp.19.3.p281

Tadamasa Sawada

{"title":"Effects of violating the assumptions of equal variance and independent and identically distributed random variables: A case using {B}ayesian statistical modeling","authors":"Tadamasa Sawada","doi":"10.20982/tqmp.19.3.p281","DOIUrl":"https://doi.org/10.20982/tqmp.19.3.p281","url":null,"abstract":"All statistical methods involve assumptions about the data and the output of the meth-ods can be biased when the assumptions are not supported by the data. One of the common assumptions is equal variance across the conditions. Another common assumption is that variables are independently sampled from identically distributed populations (i.i.d.). The present study describes an example of such a violation of these assumptions and its effect on the results of Bayesian statistical analyses. Yu et al. (2021) developed a Bayesian statistical model that can analyze the same type of data as the one-way repeated-measure ANOVA. Their model assumed equal variance and i.i.d. Unfortunately, these assumptions were not satisfied by their data. In the present study, their model was revised to allow variance to vary with the conditions, and their data was reanalyzed. The results of the analyses using these models were compared with the psychophysical results of Yu et al. (2021). This comparison showed that the violated assumptions biased the results of the analysis. This bias made the results of the analysis appear more supportive of Yu et al.’s (2021) conclusion, but the validity of the analysis’s results needs to be re-considered. Note that it is important that one carefully scrutinizes the data and understands the statistical method used to discuss the results of the analysis.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135654957","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

Unpacking Habit With Bayesian Mixed Models: Dynamic Approach to Health Behaviors With Interchangeable Elements, Illustrated Through Multiple Sun Protection Behaviors 用贝叶斯混合模型拆包习惯:可互换元素的健康行为的动态方法，通过多种防晒行为说明

The quantitative methods for psychology Pub Date : 2023-10-01 DOI: 10.20982/tqmp.19.3.p265

Yuelin Li, Elizabeth Schofield, Jennifer L. Hay

{"title":"Unpacking Habit With Bayesian Mixed Models: Dynamic Approach to Health Behaviors With Interchangeable Elements, Illustrated Through Multiple Sun Protection Behaviors","authors":"Yuelin Li, Elizabeth Schofield, Jennifer L. Hay","doi":"10.20982/tqmp.19.3.p265","DOIUrl":"https://doi.org/10.20982/tqmp.19.3.p265","url":null,"abstract":"Analytics for behavioral habit typically model one behavior at a time, despite the fact that habit often involves multiple cooccurring behaviors, such as food choices and physical activities, where interrelated behaviors are often equally recommended. We propose a novel Mixed-Effects Dynamic hAbit model (MEDA) to simultaneously model multiple related, habitual behaviors. As an illustrative example, MEDA was applied to real-time assessments of sun protection (sunscreen, shade, hat, and protective clothing) reported twice daily by first-degree relatives of melanoma patients who are themselves at an elevated risk of skin cancer. MEDA aims to explicate habits in sun protection under varying environmental cues (e.g., sunny and hot weather). We found consistent between-group differences (e.g., men responding to weather cues more consistently than women) and interactions between cooccurring behaviors (e.g., being in shade discourages sunscreen wearing, more so in men than women). Moreover, MEDA transcends conventional methods to address longstanding challenges—how cue to action and volitional choices differ by groups or even by individual persons. Such nuances in interrelated habitual behaviors are relevant in numerous other applications, such as recommended dietary or physical activity behaviors. These methods best inform personalized behavioral interventions targeting individual preferences for precision behavioral intervention.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135654713","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

The Bayesian Approach is Intuitive Conditionally to Prior Exposition to These Examples 贝叶斯方法的直观性取决于对这些例子的预先阐述

The quantitative methods for psychology Pub Date : 2023-10-01 DOI: 10.20982/tqmp.19.3.p244

Philippe Pétrin-Pomerleau, Coralie Vincent, Paola Michelle Garcia Mairena, Ece Yilmaz, Annie Théberge Charbonneau, Tracy Husereau, Ghislaine Niyonkuru, Grace Jacob

{"title":"The Bayesian Approach is Intuitive Conditionally to Prior Exposition to These Examples","authors":"Philippe Pétrin-Pomerleau, Coralie Vincent, Paola Michelle Garcia Mairena, Ece Yilmaz, Annie Théberge Charbonneau, Tracy Husereau, Ghislaine Niyonkuru, Grace Jacob","doi":"10.20982/tqmp.19.3.p244","DOIUrl":"https://doi.org/10.20982/tqmp.19.3.p244","url":null,"abstract":"There is a range of statistical approaches available to researchers. Nevertheless, in the probabilistic context, the frequentist approach is dominant, from the scientific literature to the teaching of statistical methods in higher education institutions. However, research questions are diverse, and other probabilistic statistical approaches may be advantageous in specific contexts. The methods used by researchers are derived mainly from their training. Unfortunately, alternative approaches, such as the Bayesian approach, are rarely taught, which may, in part, be due to the complexity of teaching them. This article aims to address this problem by presenting a series of fictitious examples illustrating the concepts behind Bayesian reasoning. It is intended as a tool for novice researchers looking to gain a basic understanding of the Bayesian approach. The prior, likelihood and posterior concepts will be illustrated by scenarios that learners can identify with. It is expected that novice researchers who have internalized the concepts of the Bayesian method, partly through these intuitive examples, would be more inclined to learn about this alternative statistical approach and consider using it in their research field. This could, in turn, help diversify the statistical methods used throughout the scientific literature.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":"174 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139327436","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

The quantitative methods for psychology Pub Date : 2023-10-01 DOI: 10.20982/tqmp.19.3.p254

Louis Laurencelle

{"title":"Pour la différence entre deux proportions jumelées, un nouveau test, plus valide et plus puissant [A new standard normal-based test for the difference between paired proportions to supersede obsolete McNemar-like and other indirect procedures]","authors":"Louis Laurencelle","doi":"10.20982/tqmp.19.3.p254","DOIUrl":"https://doi.org/10.20982/tqmp.19.3.p254","url":null,"abstract":"Contrarily to the 6-faced dice or the head/tail coin with their a priori fixed probability values, proportions used in applied research are generally based on heterogeneous and inconstant sources, the mathematical binomial model suiting them only as a first approximation. Moreover, the shape of their distributions is strongly tied to each proportion’s mean value, a fact that rules out a direct binomial calculation for comparing them and assessing their difference. When the compared proportions are paired, i.e. based on the same sources, the awkwardness of the binomial solu-tion simply jumps skyward, their proposed implementations being doubtful and their exegeses war-ped and indirect. Quinn McNemar’s 1947 chi-squared solution, simple and straightforward, has long won users’ adhesion, however it is based on the sole subset of option changing data pairs, putting aside all stable ones. We hereby describe a new, fully documented procedure for testing the difference between two paired proportions. It is anchored on the normal probability model and uses the Fisher-Zubin-Anscombe binomial-to-normal transformation. It is shown to be more precise and more powerful than the previous indirect and convoluted approaches, and it links empirical proportions to the full set of linear variables qualified for standard normal-based analyses, including ANOVA.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135654959","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

Capacity and duration of iconic memory from partial reporting of brief stimuli: A replication of Sperling’s experiment (1960) 短暂刺激物部分报告的标志记忆容量和持续时间:Sperling实验的重复(1960)

The quantitative methods for psychology Pub Date : 2023-10-01 DOI: 10.20982/tqmp.19.3.r011

Meenakshie Bradley-Garcia, Salma Ben Messaoud, Ashley Bossilkov, Chloé Cateaux, Carmel Tshila N’Sa, Annabelle Potvin-Pilon, Hajira Abdi-Nassir, Nardeen Assad, Fiona Balcom, Salma Belfaiz, Cassandra Blackburn, Julia Bolduc, Idriss Boutarbouch, Natasha Béchamp, Mireyva Tatiane Calderon Robles, Véronique Charbonneau, Isabelle Chatillon, Lauren Cooper-Ballinger, Maria Falconi, Vincent Francoeur, Asterie Gashema, Victoria Healey, Victoria Johnston, Cloé Lafleur, Josiane Laliberté, Jadzia Lareau, Camille Leblanc, Erin Miess, Victoria Méthot, Habib Najjar, Jamila Palanee, Suzanne Pradelle, Deevesh Raj Ramphul, Mahika Sarrazin, Nich Savage, Monica Tremblay Jimenez

引用次数: 0

Dyadic pattern analysis using longitudinal Actor-Partner Interdependence Model with Markov chains for unique case analysis 基于马尔可夫链的纵向参与者-伙伴相互依赖模型的二元模式分析

The quantitative methods for psychology Pub Date : 2023-10-01 DOI: 10.20982/tqmp.19.3.p230

Mégane Bollenrücher, Joëlle Darwiche, Jean-Philippe Antonietti

引用次数: 0

Exemplification méthodologique d'une analyse de classes latentes avec R 使用R分析潜在类的方法示例

The quantitative methods for psychology Pub Date : 2023-02-01 DOI: 10.20982/tqmp.19.2.p217

Agathe Bellemare-Lepage, Marion Chatelois, P. Caron

{"title":"Exemplification méthodologique d'une analyse de classes latentes avec R","authors":"Agathe Bellemare-Lepage, Marion Chatelois, P. Caron","doi":"10.20982/tqmp.19.2.p217","DOIUrl":"https://doi.org/10.20982/tqmp.19.2.p217","url":null,"abstract":"L’analyse de classes latentes (ACL) permet de partager et de distinguer des sous-groupes non observables (latents) d’individus sur la base de leurs r ˊeponses ˋa un ensemble d’indicateurs observables (manifestes). Cette analyse permet de mieux comprendre la variabilit ˊe au sein d’une population. Or, il existe peu de documentation, surtout en fran¸cais, sur la proc ˊedure ˋa suivre pour r ˊealiser une ACL sur la plateforme R. Ce logiciel statistique est accessible gratuitement et comporte de nom-breux avantages en ce qui a trait ˋa la programmation d’analyses, ˋa la visualisation des donn ˊees ainsi qu’ ˋa la gestion des variables et de l’environnement de travail. L’objectif du pr ˊesent article est d’exem-pliﬁer la r ˊealisation d’une ACL sur la plateforme R avec le package poLCA. Apr ˋes une introduction sur l’origine et les principes de l’ACL, un tutoriel sur la r ˊealisation d’une ACL avec R est pr ˊesent ˊe. Une situation hypoth ˊetique portant sur la perp ˊetration de violence dans les relations amoureuses ˋa l’adolescence est utilis ˊee. La syntaxe R permettant de r ˊealiser cette analyse est fournie et explicit ˊee en d ˊetails. Dans une vis ˊee de partage des connaissances, similaire ˋa la philosophie de R, cet article peut servir de guide pour tout ˊetudiant ou chercheur voulant d ˊevelopper sa compr ˊehension de l’ACL et ses comp ˊetences en statistiques sur cette plateforme.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46110316","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

Handling Planned and Unplanned Missing Data in a Longitudinal Study 纵向研究中计划和非计划缺失数据的处理

The quantitative methods for psychology Pub Date : 2023-02-01 DOI: 10.20982/tqmp.19.2.p123

Mathieu Caron-Diotte, M. Pelletier‐Dumas, É. Lacourse, A. Dorfman, D. Stolle, J. Lina, Roxane de la Sablonnière

引用次数: 1

Comment utiliser le programme d'analyse sémantique Sémato 如何使用语义分析程序semato

The quantitative methods for psychology Pub Date : 2023-02-01 DOI: 10.20982/tqmp.19.1.p014

Marissa Trudel

引用次数: 0

Regression models for count data with excess zeros: A comparison using survey data 带有多余零的计数数据的回归模型:使用调查数据的比较

The quantitative methods for psychology Pub Date : 2023-02-01 DOI: 10.20982/tqmp.19.1.p001

Adhin Bhaskar, K. Thennarasu, M. Philip, T. Jaisoorya

{"title":"Regression models for count data with excess zeros: A comparison using survey data","authors":"Adhin Bhaskar, K. Thennarasu, M. Philip, T. Jaisoorya","doi":"10.20982/tqmp.19.1.p001","DOIUrl":"https://doi.org/10.20982/tqmp.19.1.p001","url":null,"abstract":"Presence of excess zeros and the distributions are major concern in modeling count data. Zero inﬂated and hurdle models are regression techniques which can handle zero inﬂated count data. This study compares various count regression models for survey data observed with excess zeros. The data for the study is obtained from a survey conducted to assess the harms attributable to drinkers among children. Poisson, negative binomial and their zero inﬂated and hurdle versions were compared by ﬁtting them to two count response variables, number of physical and number of psychological harms. The models were compared using ﬁt indices, residual analysis and predicted values. The robustness of the models were also compared using simulated data sets. Results indicated that the Poisson regression was less robust to deviations from the distributional assumptions. The negative binomial regression and hurdle regression model were found to be suitable to model the number of physical and number of psychological harms respectively. The results showed that excess zeros in count data does not imply zero inﬂation. The zero inﬂated or hurdle models are suitable for zero inﬂated data. The selection between the zero inﬂated and hurdle models should be based on the assumed cause of zeros.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44347793","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