SPSS workshop (Part 2): 

Learning data analysis for survey research and experimental research using SPSS

Date: 19 - 20 October 2024 (Saturday - Sunday) / Time: 9 - 4 pm

Dear all,

You are cordially invited to join the following workshop:

SPSS WORKSHOP:  Learning data analysis for survey research and experimental research using SPSS

Speaker: Professor Dr Chua Yan Piaw

Date: 19 - 20 October 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)

Survey researchers use survey questionnaires to collect data from respondents. The data collected from surveys is then statistically analyzed to draw meaningful research conclusions. Experimental researchers investigate the interaction between independent and dependent variables to determine a cause-and-effect relationship to learn about the effectiveness of an intervention or treatment on the dependent variables among the participants of the experiment.

Quantitative researchers need to understand survey and experimental research methods, including data analysis. This workshop introduces the data analysis methods for survey and experimental research using SPSS.

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

Learning SPSS for survey and experimental research will help participants to plan their research, as well as analyzing and reporting the results of their own analysis.

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

Contents:

1. Introduction to survey research and experimental research

2. Introduction to SPSS: Data entry, computing variables, recoding negative items, replacing missing values, and selecting random samples.

3. Data analysis for survey research

·         Comparison between groups

·         Comparison between measurements       

·         Correlation between variables                                                             

·         Causal relationship between variables

·         Analysing open-ended and multiple responses research items

4.    Data analysis for Experimental research

·         Single-group pre-test post-test designs

·         Multiple-group pre-test post-test designs

This workshop includes the following statistical tests:

1.    Chi-square goodness-of-fit test

2.    Independent Samples T test

3.    One-way ANOVA test

4.    MANOVA / MANCOVA test

5.    Mann-Whitney U test

6.    Kruskal-Wallis H test

7.    One-sample T test / Pair Sample T test

8.    Repeated measure ANOVA test

9.    Wilcoxon T test

10.  Friedman test

11.  Pearson Product Moment Correlation test

12.  Spearman rho Correlation test

13.  Cramer V Correlation test

14.  Multiple Linear Regression test

15.  Binary Logistic Regression Test

16.  Multiple response / multiple dichotomy Analysis

17.  SPANOVA test

Note: Data sets for all the above tests will be given to participants for practice during the workshop.

Click here to view the contents of book 1

Click here to view the contents of book 2