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Statistical Analysis with SPSS

Statistical Analysis with SPSS

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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.

Certificate

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

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M1069

Course Booking

MYR1,000.00

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

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 Info

Nil

Job Roles

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

Trainers

Dr. Ummul Fahri Abdul Rauf: Dr. 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.

Mostafa: Mostafa 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.