数学教师TPACK的探索性因素分析:为什么、做什么和如何做

Fereshteh Zeynivandnezhad, F. Rashed, Arman Kanooni
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引用次数: 16

摘要

因子分析是一种广泛应用于心理学和社会科学的统计技术。利用计算机和统计软件包,研究人员可以实施多元因素分析和其他多元方法。探索性因子分析和验证性因子分析在不同的研究中应用;然而,探索性因子分析作为最重要的数据分析方法之一,并没有得到很好的理解。尽管越来越多的研究人员了解它,但许多领域的研究人员仍然有错误的看法。本文回顾了基于可靠来源的方法,并提供了进行探索性因子分析的实用指南。本文采用SPSS和Montecarlo软件对探索性因子分析的不同阶段进行了分步介绍。这项研究可以为学生、研究人员和教师在研究不同类型的问题、目的、分析方法和报告写作时使用启发式分析铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploratory Factor Analysis for TPACK among Mathematics Teachers: Why, What and How
Factor analysis is a statistical technique that is widely used in psychology and social sciences. Using computers and statistical packages, implementation of multivariate factor analysis and other multivariate methods becomes possible for researchers. Exploratory factor analysis and confirmatory factor analysis are applied in different studies; however, exploratory factor analysis as one of the most important data analysis methods is not well understood. Despite the rising number of researchers who understand it many researchers in various fields still have a false view. This paper reviews methods based on reliable sources and provides a practical guide to conduct an exploratory factor analysis. This paper presents step-by-step of different stages of exploratory factor analysis using SPSS and Montecarlo software. This study could pave the way for students, researchers and teachers who want to use heuristic analysis in their studies of different types of questions, purpose, method of analysis and report writing.
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