Questionnaire Design and Data Analysis with SPSS and AMOS

Name: Questionnaire Design and Data Analysis with SPSS and AMOS
Rating: 4.5 (108 reviews)

A beginner’s guide to quantitative methods in social science

Highest Rated

Created byLong Marlon

Last updated 9/2020

English

What you'll 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

Course content

6 sections • 18 lectures • 3h 17m total length

General steps of conducting a research8:05
I'd like to start this course with introducing basic ideas about conducting a research, aiming to give you a clear picture about how to apply questionnaire survey and data analysis in the research process.
Idenifying a research question9:02
In this lesson, I will offer some general guidelines about how to identify a research question.
Building your theoretical model9:00
In this lesson, I'd like to introduce how to find the relevant concepts and theories, and further develop the hyptheses and theoretical model for a study.

Simple linear regression (part 1)11:52
Principles about simple linear regression are introduced in this lesson, based on an analysis case of the relationship between people's height and weight. The analysis operations in SPSS are introduced in the following lecture.
Simple linear regression (part 2)14:52
This lesson introduces the analysis procedure of simple linear regression analysis SPSS, as well as the interpretation of the results. The SPSS data file can be downloaded in the attachment.
Multiple linear regression17:10
This lesson introduces the general principles of multiple linear regression and show how to run the analysis in SPSS. The data file can be downloaded in the attachment.
Exploratory factor analysis18:49
An analysis method for data dimension reduction, called exploratory factor analysis (EFA), is introduced in this lesson. The operational procedure in SPSS is also illustrated, followed by the interpretation of the results.
Reliability Test3:42
In this lesson I will show how to test the reliability of the measurements in SPSS.

Structural Equation Modeling (SEM) introduction10:39
In this lession, the concepts and principles of structural equation modeling (SEM) are introduced based on the research case.
SEM analysis in AMOS (part 1)11:09
In this lesson, I will show how to run SEM analysis in AMOS and interpret the results in the analysis outputs. The data file can be downloaded in the attachment.
SEM analysis in AMOS (part 2)10:52
This lecture continues to show the analysis procedure of SEM in AMOS, as well as the interpretation of the results in the outputs.
Confirmatory factor analysis (CFA)7:25
Confirmatory factor analysis (CFA) method is introduced in this lesson, which is used to test the validity of the measurement models. The data file can be downloaded in the attachment.
Model modification10:10
In this lesson I will introduce how to conduct model modification in AMOS, and remind the cautions you need to pay attention to when modifying the model.

Requirements

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.

Who this course is for:

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

Questionnaire Design and Data Analysis with SPSS and AMOS

What you'll learn

Explore related topics

Course content

Research Basics3 lectures • 26min

Develop Questionnaire and Instruments2 lectures • 24min

Sampling and Data Collection2 lectures • 19min

Data Analysis - Regression Methods in SPSS5 lectures • 1hr 6min

Data Analysis - SEM Methods in AMOS5 lectures • 50min

Write a Research Paper1 lecture • 11min

Requirements

Description

Who this course is for: