Questionnaire Design and Data Analysis with SPSS and AMOS
A beginner’s guide to quantitative methods in social science
Description
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 Design
The 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 SPSS
Different 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 AMOS
The 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.
What You Will Learn!
- how to design a questionnaire
- how to collect and prepare the data
- how to build regression and SEM models
- how to analyze the data in SPSS and AMOS
- how to interpret and report the findings
Who Should Attend!
- undergraduate and graduate students for research purpose
- researchers who plan to conduct a research based on questionnarie survey
- businessmen who want to design a questionnarie and conduct a survey