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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

Statistical Analysis with SPSS

This introductory course on statistical analysis with SPSS provide an overview of the basic functions of SPSS, a widely-used statistical software programme, for statistical analyses in quantitative research. Participants will learn the basic features of SPSS and will be taken step-by-step, to learn how to do data coding, data inputting/importing and data analysis, as well as how to scientifically interpret the analysis results. 


All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M1069

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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Topic 1 Get Started on SPSS

  • Introduction to SPSS
  • Getting Started
  • The SPSS Environment
  • Menus
  • Toolbar

Topic 2 Preparation of Data Files

  • Defining Variables
  • Entering Data
  • Inserting and deleting cases and variables
  • Saving data files
  • Opening an existing data file

Topic 3 Data Screening and Transformation

  • Working Example
  • Errors in Data Entry
  • Assessing Normality
  • Variable Transformation
  • Recoding
  • Data Selection

Topic 4 Descriptive Statistics

  • Frequency table
  • Measures of central Tendency and variability
  • The descriptive command
  • Topic 5 Correlation and Regression
  • Assumption Testing
  • Regression Analysis
  • Plotting Regression Line
  • Working Example

Topic 6 T-tests

  • Assumption Testing
  • Working Example
  • The one sample t-test
  • t-test with more than one sample
  • repeated measures
  • independent groups t test

Course Admin


Who Should Attend

This course will benefit line managers and supervisors who are held accountable for the performance of the organization and its employees, and Human Resources professionals who are responsible for the design and implementation of performance management systems


SPSS  TrainerDr. Ummul Fahri Abdul Rauf has Ph.D. in Applied Statistics from RMIT University, Australia. Her research interests are applied statistics, multivariate analysis, statistical modeling, statistical inference and programming using R Software. As per her affiliation with National Defence University of Malaysia (NDUM) for 12 years, she is also experienced as principal investigator and has worked on a few research grants for parametric and non-parametric analysis, univariate and multivariate analysis using copulas in various areas in engineering, social science, and psychology. She has a strong fundamental knowledge of research methodology, extensive experience with Excel, SPSS, R and MINITAB in writing and presenting reports. At present, she is conducting a special training program in statistical programming including advanced multivariate data analysis using Copulas. Besides teaching and research, her additional duties involve assisting the Director of Quality Assurance and Data Management Centre at NDUM to coordinate and monitor implementation of Quality Management System (QMS) and conduct internal and external audits, to coordinate collection and verification of data for continual enhancement and liaise with relevant external agencies on academic quality compliance issues e.g. Ministry of Higher Education, Malaysian Qualification Agency. Dr. Ummul Fahri currently is the deputy director for Quality Assurance and Data Management Centre and has been holding the post for 4 years.

R Statistics TrainerMostafa has more than 5 years’ experience in teaching mathematics and statistics. His main teaching interests are statistical topics such as descriptive analysis and basic data modeling, regression analysis, design of experiment, non-parametric methods, and statistical software such as SAS, R, SPSS, and Minitab. He has started computer programming using visual basics and C++ around 15 years ago, and he has more than 10 years’ experience in programming using R.

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