Questionnaire Design and Data Analysis with SPSS and AMOS
Learn basic quantitative methods for social science research. Explore data analysis techniques and statistical concepts. Perfect for beginners!
Course Content
Questionnaire Design and Data Analysis with SPSS and AMOS is a beginner-level Udemy course taught by Long Marlon. It runs 3h 17m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 105 reviews, with 542 students enrolled. It is a paid course, first published September 2020.
Explore the essentials of questionnaire design and data analysis with this comprehensive course! Learn how to effectively design surveys and analyze data using industry-standard software: SPSS and AMOS.
This course provides a practical introduction to survey research methods, covering everything from initial concept to final analysis. You'll gain hands-on experience with techniques used to gather meaningful insights from your target audience.
Here's a breakdown of what you'll learn:
Questionnaire Design: Master the art of crafting effective questionnaires. This section covers crucial aspects of survey research, including:
- Identifying clear research questions.
- Building a strong theoretical foundation for your study.
- Developing appropriate measurement scales.
- Understanding sampling techniques for accurate data collection.
- Effective data collection strategies.
- Essential data preparation steps for analysis.
- Learn how to design reliable and valid questionnaires.
Data Analysis with SPSS: Dive into powerful data analysis techniques using SPSS. You'll learn:
- Linear Regression: Understand and apply both simple and multiple linear regression models.
- Exploratory Factor Analysis (EFA): Discover underlying factors in your data.
- Reliability Testing: Assess the consistency and dependability of your measurements.
- Results Interpretation: Effectively interpret and communicate your findings.
- Step-by-step guidance on performing each analysis within IBM SPSS.
Data Analysis with AMOS: Explore advanced structural equation modeling (SEM) with AMOS. This section will cover:
- Measurement Models: Define and validate your constructs.
- Structural Models: Test relationships between variables.
- Path Analysis: Examine direct and indirect effects.
- Confirmatory Factor Analysis (CFA): Validate your theoretical model.
- Model Modification: Refine your model for a better fit.
- Practical operation procedures using IBM Amos.
This course is designed as an introductory guide to questionnaire design and data analysis. While basic statistical knowledge is helpful, it's not a prerequisite. We'll provide essential statistical concepts as needed throughout the course.
We encourage active participation! Feel free to ask questions about questionnaire design, data analysis, or challenges you face in your own research. We're here to support your learning journey and provide timely assistance.
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