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所在平台: Udemy |
课程主页: https://www.udemy.com/course/questionnaire-design-and-data-analysis-with-spss-and-amos/
课程评论：没有评论
**课程总结：问卷设计与SPSS/AMOS数据分析** 本课程是一门关于问卷设计和数据分析的入门课程，将引导您学习如何设计一份可靠有效的问卷，并运用SPSS和AMOS进行数据收集与分析。 **课程内容涵盖三个主要部分：** 1. **问卷设计：** * 深入探讨问卷设计的各个环节，包括研究问题的识别、理论基础的构建、测量维度的设计、抽样方法、数据收集策略以及数据的前期准备。 * 目标是传授如何设计出既可靠又有效（valid）的问卷，以便为后续的数据分析奠定坚实基础。 2. **SPSS数据分析：** * 重点介绍多种线性回归分析方法，如简单线性回归和多元线性回归。 * 涵盖探索性因子分析（EFA）和信度检验，并指导您如何解读分析结果。 * 通过IBM SPSS软件，将提供每种分析方法详细的操作步骤演示。 3. **AMOS数据分析：** * 介绍结构方程模型（SEM）的基本原理，包括测量模型、结构模型、路径分析、验证性因子分析（CFA）以及模型修正等关键概念。 * 同样会借助IBM SPSS Amos软件，直观展示操作流程。 **课程特色：** * **应用导向：** 本课程侧重于统计分析技术的实际应用，无需深厚的统计学基础，讲解时会适时补充基础统计知识。 * **互动支持：** 鼓励学员在学习过程中提出关于问卷设计和数据分析的任何问题，以及在自身研究中遇到的困难，讲师将尽力提供帮助和解答。 无论您是研究新手还是希望提升数据分析能力，本课程都将为您提供实用的技能和指导。
Hi, welcome to Questionnaire Design and Data Analysis with SPSS and AMOS. This course is to introduce how to design a questionnaire and analyze the data based on survey methods. The course mainly includes three sections:1. Questionnaire DesignThe topics of this section are based on the different aspects of survey research, including research question identification, theoretical foundation, measurements design, sampling, data collection, and data preparation, aiming to illustrate how to design a reliable and valid questionnaire and collect data for further analysis;2. Data analysis with SPSSDifferent methods regarding linear regression are introduced in this section, such as simple and multiple linear regression, exploratory factor analysis (EFA), reliability test, as well as results interpretation. The analysis procedure of each method is illustrated step by step with IBM SPSS;3. Data analysis with AMOSThe principles of structural equation modeling (SEM) methods are introduced in this section, such as measurement and structural models, path analysis, confirmatory factor analysis (CFA), model modification, etc. The operation procedures are also shown by using IBM Amos.As an introductory course for questionnaire design and data analysis, this course mainly focuses on the applications of different analysis techniques. Thus statistical foundations are desirable but not required. Basic statistical knowledge will be introduced accordingly in different lectures.During the learning process, you are encouraged to ask any questions concerned with questionnaire design and data analysis, as well as any problems from your own research, and I am willing to help and try to respond as soon as possible.
