Advanced IBM SPSS- Quantitative Techniques in Research
3.8 (47 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,954 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Advanced IBM SPSS- Quantitative Techniques in Research to your Wishlist.

Add to Wishlist

Advanced IBM SPSS- Quantitative Techniques in Research

Learn the basic to advanced skills required in quantitative research data analysis with newest version of IBM SPSS
3.8 (47 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,954 students enrolled
Created by Sana Nazir
Last updated 3/2016
English
Learn Fest Sale
Current price: $10 Original price: $35 Discount: 71% off
2 days left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2 hours on-demand video
  • 2 Articles
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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
View Curriculum
Requirements
  • Be ready to learn a comprehensive basic to advanced SPSS training
  • Have Microsoft Word installed in their desktop or laptop computers
  • Install IBM SPSS Statistics 20 or any new version
Description

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.

Who is the target audience?
  • Anyone interested to learn basics and advanced concepts in SPSS
  • Anyone interested in learning and enhancing skills to perform quantitative data analysis in research
Students Who Viewed This Course Also Viewed
Curriculum For This Course
Expand All 27 Lectures Collapse All 27 Lectures 02:09:35
+
Introduction to IBM SPSS
1 Lecture 02:45

This Lecture is the basic road map for the SPSS course.

Preview 02:45
+
Basics of SPSS
4 Lectures 19:36

Students will be able to get the basic knowledge about spss that how to insert data and get the case summaries for the analysis.

Entering data and case summaries
05:01

Students will be able to cover another basic tools of creating labels for items and then value labels for their data.

Creating labels and Value labels
05:00

Students will be able to get to know that how variables can be added, deleted or moved in the data set of SPSS.

Different functions with variables
05:17

Students will learn to modify default options in SPSS according to their needs in data set.

Modifying default options in spss.
04:18
+
Statistical Analysis
3 Lectures 11:22

Students will be able to measure mode, median and mean in a data set.

Measuring Central Tendency
02:48

Students will learn the basic kind of statistical analysis to sum up their data by creating stem and leaf plot.

Stem and Leaf Plot Analysis
03:00

Students will be able to create the basic pie and bar chart.

Creating Bar and Pie Charts
05:34
+
Data Analysis- Advanced Learning
1 Lecture 08:47

Students will be able to learn what actually data analysis is and what kind of analyses we are going to perform in SPSS.

Introduction to Data Analysis
08:47
+
Reliability Analysis
3 Lectures 15:00

Students will be able to know what actually reliability is and refresh their concepts about reliability.

Introduction to Reliability Analysis
03:10

Students will be able to perform Reliability Analysis by learning techniques and the concepts involved in it.

Performing Reliability Analysis
07:15

Students will be able to know that how to interpret Reliability in APA format.

Interpreting Reliability Analysis
04:35
+
Demographic Analysis
2 Lectures 06:02

Students will be able to know what actually demographics are an then their existence in the data set in SPSS.

Introduction to Demographics
02:50

Students will be able to perform Demographic Analysis and then interpret it in APA format.

Demographic Analysis and Interpretation
03:12
+
Descriptive Analysis/ Normality
2 Lectures 12:47

Students will be able to know the meaning of descriptive and then importance of normality analysis in data.

Introduction to Descriptive and Normality Analysis
05:14

Students will be able to check the variability in their variables and data and see if the data is normal or not by performing normality analysis.

Performing Descriptives and Normality analysis
07:33
+
Factor Analysis
1 Lecture 05:55

Students will be able to perform factor analysis if they are taking an adapted questionnaire or if they have made it by themselves.

Factor Analysis
05:55
+
Correlation
2 Lectures 10:01

Students will be able to learn why do we conduct correlation and then different ranges lying within it for hypothesis acceptance.

Introduction to Correlation
04:18

Students will be able to perform correlation for associative studies and then interpret them in APA format.

Performance and Interpretation of Correlation
05:43
+
Regression
3 Lectures 13:41

Students will get the knowledge about the two basic types of regression- Linear and Multiple.

Introduction to Regression- Linear and Multiple
03:12

Students will be able to perform and interpret Linear Regression.

Performing Linear Regression
06:06

Students will be able to learn how to perform regression in case of multiple variables and then interpret it in APA format.

Performing Multiple Regression
04:23
2 More Sections
About the Instructor
Sana Nazir
3.4 Average rating
95 Reviews
8,781 Students
4 Courses
Instructor in the field of Business Administration

I am instructor in teaching courses related to business and have strong command in areas of Human Resources- the field I am specialized in. For me, the favorite part of teaching is the interaction with students where I am able to deliver my knowledge and help students to learn skills.

I have been a potential student scoring distinction throughout my educational career and now a potential instructor to share my knowledge and expertise.

I have taught courses online before too and I have always excelled in curricular and extra-curricular activities and a team leader always. I enjoy reading, working hard and then finding ways to improve myself as a person.