我们的网站为什么显示成这样?

可能因为您的浏览器不支持样式,您可以更新您的浏览器到最新版本,以获取对此功能的支持,访问下面的网站,获取关于浏览器的信息:

|本期目录/Table of Contents|

 基于一般线性模型框架的心理统计教学(PDF)

《心理学探新》[ISSN:1003-5184/CN:36-1228/B]

期数:
 2020年06期
页码:
 545-551
栏目:
 
出版日期:
 2020-12-25

文章信息/Info

Title:
 Psychological Statistics Teaching on General Linear Model
文章编号:
1003-5184(2020)06-0545-07
作者:
 董圣鸿12李小雨12胡竹菁12汪文义3
 (1.江西师范大学心理学院,南昌 330022; 2.江西省心理与认知科学重点实验室,南昌 330022; 3.江西师范大学计算机信息工程学院,南昌 330022)
Author(s):
 Dong Shenghong12Li Xiaoyu12Hu Zhujing12Wang Wenyi3
 (1.School of Psychology,Jiangxi Normal University,Nanchang 330022; 2.Jiangxi Key Laboratory of Psychology and Cognitive Science,Nanchang 330022; 3.School of Computer Information and Engineering,Jiangxi Normal University,Nanchang 330022)
关键词:
 心理统计 一般线性模型 路径图 教学
Keywords:
 psychological statistics general linear model path diagram teaching
分类号:
 B841.2
DOI:
 -
文献标识码:
 A
摘要:
 心理统计学教学中,不同的统计方法常常是独立教学,致使学生不易理解各种方法之间的关系。事实上,t检验、方差分析和多元线性回归等方法都可以统一到一般线性模型的框架下,而结构方程是对这个框架的最一般化的描述,且结构方程路径图是呈现这个框架的形象工具。因此,本文尝试用路径图的方式来呈现心理学研究中最常用的统计方法,并将结构方程分析结果与传统分析结果进行对照,帮助学生建立一般线性模型上位概念,将以往孤立的统计方法联系起来。
Abstract:
 In the teaching of psychological statistics,different statistical procedures are often taught independently,which makes it difficult for students to understand the relationship between the various of parametric statistical procedures.In fact,t test,analysis of variance,multiple regression are in common use are part of the general linear model(GLM),and structural equation modeling(SEM)is the most general description of GLM framework,and path diagrams of SEM is the image tool to present this framework.Therefore,this article used path diagrams of SEM as a tool for teaching GLM statistics,and compare the results of SEM analysis with the results of traditional statistical analysis to help students establish GLM framework,and connect the common psychological statistical procedures.

参考文献/References

 边玉芳.(2002).警惕心理学研究中的统计误用.心理科学进展,10(4),447-452.
侯杰泰,刘红云,Marsh,H.W.(2012).心理统计分析:趋势、契机与展望.中国科学院院刊,27,216-224.
胡良平.(1999).医学统计应用错误的诊断与释疑.北京:军事医学科学出版社.
胡竹菁(主编).(2019).心理统计学(第二版).北京:高等教育出版社.
深化新时代教育评价改革总体方案.(2020-10-13).来自:http://www.gov.cn/zhengce/2020-10/13/content_5551032.htm
温忠麟,吴艳.(2010).屡遭误用和错批的心理统计.华南师范大学学报(社会科学版),1,47-54.
吴明隆.(2017).结构方程模型——AMOS的操作与应用.重庆:重庆大学出版社.
辛涛.(2010).回归分析与实验设计.北京:北京师范大学出版社.
张军锋,董海原.(2017).医学论文审稿中常见的统计学错误:定量资料统计方法的误用分析.中国药物与临床,17(10),1558-1560.
Aron,A.,Coups,E.J.,& Aron,E.N.(Eds).(2013). Statistics for psychology(6th ed.).New Jersey:Pearson Education.
Bagozzi,R.P.,Fornell,C.,& Larcker,D.F.(1981).Canonical correlation analysis as a special case of a structural relations model.Multivariate Behavioral Research,16(4),437-454.
Cooley,W.W.,& Lohnes,P.R.(1971).multivariate data analysis.New York:John Wiley.
Courville,T.,& Thompson,B.(2001).Use of structure coefficients in published multiple regression articles:β is not enough.Educational and Psychological Measurement,61(2),229-248.
Fan,X.(1997).Canonical correlation analysis and structural equation modeling:What do they have in common?Structural Equation Modeling,4,65-79.
Graham,J.M.(2008).The general linear model as structural equation modeling.Journal of Educational and Behavioral Statistics,33(4),485-506.
Graham,J.M.,Guthrie,A.,& Thompson,B.(2003).Consequences of not interpreting structure coefficients in published CFA research:A reminder.Structural Equation Modeling,10(1),142-153.
Kerlinger,F.N.,& Pedhazur,E.J.(1973).Multiple regression in behavioral research.New York:Holt,Rinehart & Winston.
Knapp,T.R.(1982).Canonical correlation analysis:A general parametric significance-testing system.Psychological Bulletin,85(2),410-416.
Neter,J.,Kutner,M.H.,Nachtsheim,C.J.,& Wasserman,W.(1996).Applied linear statistical models(Vol.4,p.318).Chicago:Irwin.
Reis,H.T.,& Stiller,J.(1992).Publication trends in JPSP:A three-decade review.Personality and Social Psychology Bulletin,18,465-472.
Thompson,B.(1992).Interpreting regression results:Beta weights and structure coefficients are both important.Paper presented at the Annual Meeting of the American Educational Research Association,San Francisco.
Thompson,B.(1997).The importance of structure coefficients in structural equation modeling confirmatory factor analysis.Educational and Psychological Measurement,57(1),5-19.
Thompson,B.,& Borrello,G.M.(1985).The importance of structure coefficients in regression research.Educational and Psychological Measurement,45(2),203-209.
Ziglari,L.(2017).Interpreting multiple regression results:β weights and structure coefficients.General Linear Model Journal,43(2),13-22.
Zientek,L.R.,& Thompson,B.(2006).Commonality analysis:Partitioning variance to facilitate better understanding of data.Journal of Early Intervention,28(4),299-307.

备注/Memo

备注/Memo:
 基金项目:第九批江西省研究生优质课题和案例建设项目:多元分析与实验设计。
通讯作者:胡竹菁,E-mail:huzjing@jxnu.edu.cn。
更新日期/Last Update:  2020-12-25