Search Our Site


Publish your paper with us

Submit your paper to any of our conferences and accepted papers will be published in either Scopus indexed proceedings or Scopus indexed book chapter.
Submit Now

Get In Touch

 Please contact us if you have any queries.
[email protected] +601159774939

SPSS Workshop JPG

This workshop will focus on regression analysis, which is an essential multivariate data analysis technique commonly used by researchers. The workshop content begins with a discussion in preparing the codebook and how to carry out data screening to make sure the data used are suitable for the data analysis. This workshop also will guide the participants on how to check the reliability of measures, evaluate the effectiveness of any manipulations, examine the distributions of individual variables, and identify outliers. Then, the workshop will proceed with a discussion on multiple linear regression, hierarchical multiple regressionmediation regression, and moderated regression using SPSS. Hands-on exercises will also be conducted to better understand how to do them. Participants are welcome to bring their own data for the hands-on activities.


Workshop Details

Date 23 October 2022 (Sunday)
Time 09:00 am - 05:00 pm (Kuala Lumpur Time)
Venue Online (Zoom)
Registration Fee RM150.00
Facilitator Dr. Ida Rosnita Ismail


About Facilitator

Dr. Ida Rosnita Ismail is a senior lecturer at Graduate School of Business, Universiti Kebangsaan Malaysia. She is also an Associate Fellow at the Institute of IR 4.0 UKM and an International Guest Researcher at the Institute of HRMO, Hamburg University of Technology, Germany. She received her Bachelor of Laws (LL.B Hons.) from University of Wales Aberystwyth, United Kingdom and MBA from Universiti Utara Malaysia. She also received a Master in Laws (LL.M) and her Doctor of Business Administration (DBA) from Universiti Kebangsaan Malaysia. In July 2014, she went to Hamburg University of Technology, Germany, to pursue her post-doctoral study under the direct supervision of Prof. Dr. Christian M. Ringle, for 18 months. Her major research interests include misbehavior at workplace, positive work behavior, and human resource management issues.


Workshop Coverage

1. Introduction to multivariate data analysis
2. Preparing the codebook
3. Screening and cleaning the data
4. Preliminary analysis
5. Understanding multiple linear regression
6. Hierarchical multiple regression
7. Mediation regression using SPSS
8. Moderated regression using SPSS


Workshop Benefits

✔️ Certificate will be provided.
✔️ Workshop will be recorded and the recorded link shared with all participants after the workshop.
✔️ Notes from the facilitator.


Workshop Tentative



08:50 am - 09:00 am
  • Registration
09:00 am - 01:00 pm
  • Introduction to multivariate data analysis
  • Preparing the codebook
  • Screening and cleaning the data
  • Preliminary analysis
01:00 pm - 02:00 pm
  • Lunch Break
02:00 pm - 05:00 pm
  • Understanding multiple linear regression
  • Hierarchical multiple regression
  • Mediation regression using SPSS
  • Moderated regression using SPSS


Who Should Attend?

✔️ Lecturer
✔️ Postgraduate Student
✔️ Researcher
✔️ Anyone who interested to learn about SPSS


Registration Fee

RM150 ONLY (Ringgit Malaysia: One Hundred and Fifty Only)



Payment can be via bank transfer to:
Account No.: 552 095 223 741

or SenangPay at:

(For the international participants, payment can be made using SenangPay)



Register Now!



For enquiry, please contact:
Ms. Mazria
E-mail: [email protected]



T27, Tingkat 1, Wisma PKNK, Jalan Sultan Badlishah 05000 Alor Setar, Kedah, MALAYSIA
E-mail: [email protected]


All data and information provided on this site is for informational purposes only. ARMS makes no representations as to accuracy, completeness, currentness, suitability, or validity of any information on this site and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. All information is provided on an as-is basis.