SPSS workshop (Part 3):
Step-by-step basic data analysis for experimental research using SPSS
Date: Not decided
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We provide online data analysis workshops for SPSS, SMARTPLS and AMOS
Dear all,
We would like to invite you to participate in the following workshop. Please help spread this ad to other groups who need this workshop:
Workshop (Part 2): Step-By-Step Basic Data Analysis for Experimental Research Step-By-Step Using SPSS
Speaker: Professor Dr Chua Yan Piaw
Date: -
Time: 9.00 am - 4.00 pm
Method: Online (Googlemeet)
Fee: RM200
Certificate: Provided
Requirement: No data analysis knowledge is required
Registration: Ms. Lina (email: researchtreeresources@gmail.com)
Workshop Synopsis
Experimental research is widely used in sciences, social sciences, health sciences, psychology, education, etc., to examine the effect or effectiveness of a treatment or an intervention, for examples, a new product, invention, medication, program, training, educational module, etc.
However, using an inappropriate data analysis method would reduce the validity and reliability of the experiment research findings, and might cause the reports in a thesis or journal article to be rejected. For example, a common practice in a control-treatment pretest-posttest experimental design is using four tests (e.g., four t-tests) to examine the effect of an intervention. Using multiple t-tests in an experiment would increase the Type 1 alpha experimental error rate from 0.05 to 0.185, causing the confidence level of the experiment to drop from 95% to 81.5%.
This 2-day workshop is for academicians, researchers or postgraduate students with no / little basic working knowledge of data analysis, who are/will be required to carry out statistical analysis for their research.
It introduces data analysis with statistical tests for three primary types of experimental design: Pre-experimental design, True experimental design, and Quasi-experimental design.
Through the workshop, participants will be able to plan their experimental research designs, as well as analyzing experimental data personally using the SPSS.
The workshop uses a practical hands-on approach. Participants will practice their data analysis skills using SPSS for each statistical test based on datasets given to them during the workshop.
Workshop Contents
1. Introduction to experimental research designs
2. Factors that can bias experimental research results.
3. Estimating Type 1 alpha-experimental error rate
4. Data analysis with statistical tests for the following research designs:
a. Pre-Experimental Designs
· One-shot case study design
· One-group pretest-posttest design
· Static-group comparison design
b. True Experimental Designs
· Posttest only control group design
· Pretest-posttest control group design (Randomized control trial)
· Solomon four-group design
c. Quasi-Experimental Designs
· Pretest-posttest comparison design
· Time series desgn
· Multiple time series design
5. The statistical tests include:
· One-sample T test
· One-sample Wilcoxon Signed-rank test
· Paired samples T test
· Repeated measures ANOVA test
· Wilcoxon T test
· Friedman test
· Independent-samples T test
· One-way ANOVA test
· Mann-Whitney U test
· Kruskal-Wallis H test
· Analysis of Covariance test (ANCOVA test)
· Split-plot ANOVA test
· Split-plot ANCOVA test
6. Reporting results of data analysis
Note: For each test, relevant datasets will be given to participants during the workshop for practice.
ABOUT THE SPEAKER
ABOUT THE SPEAKER
To attend the workshop,
(1) download and fill the registration form. The form is attached to this email. It can also be downloaded from this link: Registration form
(2) pay the registration fee directly to RESEARCHTREE RESOURCES, Account Number: 8011050200, CIMB Bank.
(3) email your (1) registration form and (2) the proof of payment/receipt to Ms Lina (email: researchtreeresources@gmail.com).
For further information, please email researchtreeresources@gmail.com
We look forward to your participation.
Ms. Lina
Academic Workshop Coordinator
Researchtree Resources
Email: researchtreeresources@gmail.com
To download the Registration Form:
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