SPSS workshop (Part 1): 

Learning basic SPSS tests step-by-step based on research designs

Date: 24 - 25 August 2024 (Saturday - Sunday) / Time: 9 - 4 pm

Dear all,

You are cordially invited to join the following workshop:

SPSS WORKSHOP:  LEARNING BASIC SPSS TESTS STEP-BY-STEP BASED ON RESEARCH DESIGNS

Speaker: Professor Dr Chua Yan Piaw

Date: 24 - 25 August 2024 (Saturday - Sunday) 

Time: 9.00 am - 4.00 pm

Method: Online (Googlemeet)

Fee: RM200

Certificate: Provided

Who can participate: Postgraduate students, academicians, and researchers

Registration: Ms. Lina (email: researchtreeresources@gmail.com)

Learning statistics tests with SPSS is less efficient without learning the research designs associated with the tests. This is because learners might not know when, where and how to apply the statistical tests in research. This workshop introduces step-by-step data analysis with statistical tests using SPSS based on research designs, namely cross-sectional designs (correlational designs, causal comparative designs, causal relationship designs), experimental designs and mediation and moderation designs.

This 2-day workshop is for postgraduate students, academicians, and researchers with no / little basic working knowledge of statistics and SPSS, who are/will be required to carry out statistical analysis for their research.

Through the workshop, participants will learn the basic methods of data entering, recoding, transforming, as well as analysing relationships among variables in their research models/conceptual frameworks. Learning SPSS will help participants to plan their research, as well as analysing and reporting the results of their own analysis.

The workshop uses a practical hands-on approach. Participants will be able to practice their data analysis skills in SPSS based on the datasets given to them during the workshop.

1. Introduction to data analysis using SPSS

2. Preparing data from the research instrument in SPSS data editor: Data entering, data recoding, data transforming, selecting random samples, replacing missing data

3. Data analysis with statistical tests for the following research designs:

·         Correlational research designs

·         Causal comparative designs

·         Causal relationship designs

·         Experimental designs - Pretest and posttest experimental design, randomized trail design, quasi-experimental design

·         Mediation and moderation designs

4. The statistical tests include:

·         Pearson correlation test

·         Spearman rho correlation test

·         Partial correlation test

·         T-tests

·         ANOVA tests

·         Mann Whitney test

·         Kruskal-Wallis test

·         Multiple regression test

·         MANOVA test

·         SPANOVA test

5. Reporting results of data analysis

Click here to view the contents of book 1

Click here to view the contents of book 2