One sample t-test by using SPSS

Understanding the Spss Window

What is SPSS?

SPSS stands for statistical package for the social science. It is powerful for performing - data entry, data cleaning, data management, data analysis, and produce effective output.

SPSS has three significance Windows

Data Editor window - it comprises two significance words that researcher needs to remember and well understand about it. Variable view is the place that researcher employs to perform the data coding (develop questionnaire form for data entry). Data View is place where researcher can entry the data as well as it illustrate researcher to see clearly all of the data.

Figure 1: IBM SPSS Statistics Data Editor

Syntax Editor window - researcher can type the command that they would like to run the data analysis. In addition, researcher can paste the Syntax Editor by just only click on "Paste". Then, researcher can receive a beautiful command. It is very significance for data cleaning and analyzing within large sample size and contain many variables.

Figure 2: IBM SPSS Statistics Syntax

Output Viewer window - researcher can run the Syntax, afterward they will receive the output viewer window. The output viewer window contains all the result of SPSS data analysis. In short, output viewer window is place where demonstrates the result of SPSS data analysis.

Figure 3: IBM SPSS Statistics Viewer

Conclusion

Learning SPSS, researcher needs to understand each element of the SPSS windows - Data Editor, Syntax, and Viewer.

The next session is going to present about the "How to perform variable view and data entry"? 

SPSS Course Outline

Introduction to Spss

• Designed to provide an intensive introduction to IBM SPSS Statistics;Combines lecture and hands-on practice sessions and involves an analysis of a large data set;
• Statistical Package for Social Science, is a powerful Windows based program can be used to perform data entry and analysis and to create table and graphs;
• Capable of handling large amounts of data and commonly used in the social science as well as in the business context.
• Also the most significant part of quantitative research

Learning objectives

By the end of all the courses, the participants will have enough competence and capacity to analyze descriptive and statistical data analysis by using SPSS software.

1. To introduce and enable students understand the basic concept of statistic and SPSS
2. To guide students on how to perform SPSS application effectively
3. To train on how to interpret the findings from SPSS application.

Learning points

1. Concept of SPSS – Statistical Package for Social Science
2. Data entry and data cleaning
3. Descriptive statistic analysis (Central tendency, Min, Max, SD,.etc.)
4. Cross tabulation
5. T-test (One sample t-test, independent sample t-test, and paired sample t-test)
6. F-test or ANOVA
7. Chi-square
8. Correlation and linear regression
9. Data presentation and interpretation 

Next session is going to focus on the basic concept of Spss - understanding about Spss Window, data view as well as variable view. Best wishes to you!