Questionnaire Design and Data Analysis with SPSS and AMOS

Questionnaire Design and Data Analysis with SPSS and AMOS, available at $39.99, has an average rating of 4.25, with 18 lectures, based on 90 reviews, and has 486 subscribers.

You will learn about 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 This course is ideal for individuals who are undergraduate and graduate students for research purpose or researchers who plan to conduct a research based on questionnarie survey or businessmen who want to design a questionnarie and conduct a survey It is particularly useful for undergraduate and graduate students for research purpose or researchers who plan to conduct a research based on questionnarie survey or businessmen who want to design a questionnarie and conduct a survey.

Enroll now: Questionnaire Design and Data Analysis with SPSS and AMOS

Summary

Title: Questionnaire Design and Data Analysis with SPSS and AMOS

Price: $39.99

Average Rating: 4.25

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: $19.99

Quality Status: approved

Status: Live

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Research Basics

Lecture 1: General steps of conducting a research

Lecture 2: Idenifying a research question

Lecture 3: Building your theoretical model

Chapter 2: Develop Questionnaire and Instruments

Lecture 1: Design a questionnaire

Lecture 2: Likert-scale instruments

Chapter 3: Sampling and Data Collection

Lecture 1: Sampling

Lecture 2: Data collection and preparation

Chapter 4: Data Analysis – Regression Methods in SPSS

Lecture 1: Simple linear regression (part 1)

Lecture 2: Simple linear regression (part 2)

Lecture 3: Multiple linear regression

Lecture 4: Exploratory factor analysis

Lecture 5: Reliability Test

Chapter 5: Data Analysis – SEM Methods in AMOS

Lecture 1: Structural Equation Modeling (SEM) introduction

Lecture 2: SEM analysis in AMOS (part 1)

Lecture 3: SEM analysis in AMOS (part 2)

Lecture 4: Confirmatory factor analysis (CFA)

Lecture 5: Model modification

Chapter 6: Write a Research Paper

Lecture 1: Writing a research paper

Instructors

Long Marlon
Data Analyst

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 9 votes
4 stars: 33 votes
5 stars: 43 votes

Frequently Asked Questions

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