Advanced IBM SPSS- Quantitative Techniques in Research

Advanced IBM SPSS- Quantitative Techniques in Research, available at $19.99, has an average rating of 2.95, with 27 lectures, based on 60 reviews, and has 3007 subscribers.

You will learn about understand the basic concepts for research analysis able to perform data analysis for quantitative research learn the advanced skills required to perform analysis on IBM SPSS This course is ideal for individuals who are Anyone interested to learn basics and advanced concepts in SPSS or Anyone interested in learning and enhancing skills to perform quantitative data analysis in research It is particularly useful for Anyone interested to learn basics and advanced concepts in SPSS or Anyone interested in learning and enhancing skills to perform quantitative data analysis in research.

Enroll now: Advanced IBM SPSS- Quantitative Techniques in Research

Summary

Title: Advanced IBM SPSS- Quantitative Techniques in Research

Price: $19.99

Average Rating: 2.95

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

understand the basic concepts for research analysis
able to perform data analysis for quantitative research
learn the advanced skills required to perform analysis on IBM SPSS

Who Should Attend

Anyone interested to learn basics and advanced concepts in SPSS
Anyone interested in learning and enhancing skills to perform quantitative data analysis in research

Target Audiences

Anyone interested to learn basics and advanced concepts in SPSS
Anyone interested in learning and enhancing skills to perform quantitative data analysis in research

This course is about advanced techniques required in the quantitative data analysis of business research through IBM- SPSS. This course is for all learners since it provides the understanding from basic to advanced techniques making it easier for a beginner and also a learner with the basic knowledge of SPSS.

Those students who want to master the techniques to use SPSS and carry out analysis of the research data can take this course. It has mainly 11 sections and the main concepts taught through out the sections are:

Basics of SPSS
Measure of Central Tendency
Advanced Learning- Data Analysis
Reliability Analysis
Demographic Analysis
Descriptive/ Normality
Factor Analysis
Correlation
Regression- Linear and Multiple
Regression in the case of Mediation and Moderation

The course has helping material to understand the concepts better in the form of short notes and also the practice exercises at every step to master the skills required to perform analysis.

Course Curriculum

Chapter 1: Introduction to IBM SPSS

Lecture 1: Introduction

Chapter 2: Basics of SPSS

Lecture 1: Entering data and case summaries

Lecture 2: Creating labels and Value labels

Lecture 3: Different functions with variables

Lecture 4: Modifying default options in spss.

Chapter 3: Statistical Analysis

Lecture 1: Measuring Central Tendency

Lecture 2: Stem and Leaf Plot Analysis

Lecture 3: Creating Bar and Pie Charts

Chapter 4: Data Analysis- Advanced Learning

Lecture 1: Introduction to Data Analysis

Chapter 5: Reliability Analysis

Lecture 1: Introduction to Reliability Analysis

Lecture 2: Performing Reliability Analysis

Lecture 3: Interpreting Reliability Analysis

Chapter 6: Demographic Analysis

Lecture 1: Introduction to Demographics

Lecture 2: Demographic Analysis and Interpretation

Chapter 7: Descriptive Analysis/ Normality

Lecture 1: Introduction to Descriptive and Normality Analysis

Lecture 2: Performing Descriptives and Normality analysis

Chapter 8: Factor Analysis

Lecture 1: Factor Analysis

Chapter 9: Correlation

Lecture 1: Introduction to Correlation

Lecture 2: Performance and Interpretation of Correlation

Chapter 10: Regression

Lecture 1: Introduction to Regression- Linear and Multiple

Lecture 2: Performing Linear Regression

Lecture 3: Performing Multiple Regression

Chapter 11: Regression in case of Moderation and Mediation

Lecture 1: Introduction to Moderation and Mediation

Lecture 2: Moderation Analysis

Lecture 3: Mediation Analysis

Chapter 12: Notes and Practice Exercises

Lecture 1: Short Notes

Lecture 2: Practice Exercises

Instructors

Sana Nazir
Instructor in the field of Business Administration

Rating Distribution

1 stars: 7 votes
2 stars: 2 votes
3 stars: 4 votes
4 stars: 16 votes
5 stars: 31 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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