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Data Analysis and Research

Reliability Analysis Using SPSS

0 students
Last updated Jul 2026

Course Overview

About This Course

Welcome to Reliability Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you assess the consistency and reliability of questionnaires, tests, and measurement scales using IBM SPSS Statistics. Whether you are a student, researcher, academic, or data analyst, this course provides the theoretical foundation and practical skills required to evaluate the quality of research instruments with confidence.


The course begins with the fundamentals of reliability analysis, explaining its importance in quantitative research and instrument validation. You will learn the concepts of internal consistency, reliability coefficients, and item analysis, along with the practical application of Cronbach's Alpha, Item Discrimination Index, Corrected Item-Total Correlation, and other reliability measures in SPSS. Through step-by-step demonstrations and practical examples, you will gain hands-on experience in conducting reliability analysis, interpreting output tables, refining measurement scales, and reporting results according to accepted academic and research standards.


By the end of this course, you will have the confidence to perform reliability analysis using IBM SPSS Statistics and ensure that your research instruments produce valid and dependable results for academic research, dissertations, theses, and professional projects.

Learning Outcomes

Understand the concepts, importance, and applications of reliability analysis.

Perform reliability analysis using IBM SPSS Statistics with confidence.

Calculate and interpret Cronbach's Alpha, Item Discrimination Index, and related reliability measures.

Evaluate and improve the reliability of questionnaires, tests, and research scales.

Report reliability analysis results in a professional and research-standard format.

Curriculum

5 Sections • 18 Lectures
Introduction to Reliability Analysis
1:54
What is Reliability?
3:17
Reflective vs. Formative Models of Scale
5:19
Should We Report Cronbach's Alpha or Composite Reliability?
1:37
Test-Retest Reliability
1:53
Parallel Form Reliability
1:49
Internal Consistency Reliability
3:24
What is Cronbach's Alpha?
1:37
Assumptions of Cronbach's Alpha
8:50
Formula of Cronbach's Alpha
2:18
Range of Cronbach's Alpha
4:32
Understanding 'Scale if an Item is Deleted' Option
2:34
Interpreting Case Processing Summary & Alpha Coefficient
0:46
Diagnosing Missing Values
6:08
Diagnosing Scale Mean and Variances
2:31
Diagnosing Item-Total Correlations
4:43
Removing Ambiguous and Redundant Items
7:50
Item Discrimination Index
3:48

Degree Track Only

This course is available inside a Degree Track and cannot be purchased separately.

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An experienced and passionate instructor, [Name] is dedicated to fostering a dynamic and engaging learning environment where students feel motivated to grow both academically and personally. With a strong foundation in their subject area, they bring clarity, structure, and enthusiasm to every lesson, ensuring complex concepts are made accessible and relevant. Their teaching approach blends theoretical knowledge with practical application, encouraging students to think critically and develop problem-solving skills. Known for their supportive and approachable demeanor, [Name] builds meaningful connections with students, understanding that each learner has unique strengths and challenges. They are committed to creating an inclusive classroom atmosphere where curiosity is encouraged, questions are welcomed, and every student feels valued. By adapting teaching methods to suit diverse learning styles, they help students gain confidence and achieve their full potential. Beyond the classroom, [Name] is deeply invested in continuous learning and professional development, staying updated with the latest educational practices and advancements in their field. They often contribute to curriculum development, mentorship programs, and extracurricular activities, reinforcing their role as not just an instructor, but a mentor and guide. Their ultimate goal is to inspire lifelong learning and empower students to succeed in an ever-evolving world.

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