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
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  • Lectures 27
  • Length 2 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
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About This Course

Published 1/2016 English

Course 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.

What are the 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

What am I going to get from this course?

  • 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

What 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

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction to IBM SPSS
02:45

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

Section 2: Basics of SPSS
05:01

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

05:00

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

05:17

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

04:18

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

Section 3: Statistical Analysis
02:48

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

03:00

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

05:34

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

Section 4: Data Analysis- Advanced Learning
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.

Section 5: Reliability Analysis
03:10

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

07:15

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

04:35

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

Section 6: Demographic Analysis
02:50

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

03:12

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

Section 7: Descriptive Analysis/ Normality
05:14

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

07:33

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.

Section 8: Factor Analysis
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.

Section 9: Correlation
04:18

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

05:43

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

Section 10: Regression
03:12

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

06:06

Students will be able to perform and interpret Linear Regression.

04:23

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

Section 11: Regression in case of Moderation and Mediation
04:03

Learn about the concepts of mediation and moderation

09:30

Students will be able to carry out analysis to check if moderation in their impact study if present, exists or not.

10:02

Students will be able to check that mediation if present in their impact study exists or not.

Section 12: Notes and Practice Exercises
Short Notes
Article
Practice Exercises
Article

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Instructor Biography

Sana Nazir, 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.

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