Statistical Data Analysis with SPSS: a practical approach

Statistical Data Analysis with SPSS: a practical approach, available at $54.99, has an average rating of 4.3, with 22 lectures, based on 74 reviews, and has 1621 subscribers.

You will learn about To handle data in SPSS To perform basic and advanced analysis in SPSS To perform comparative analyses using t-tests, ANOVA, ANCOVA and multivariate ANOVA To test simple and multiple linear regression models, logistic models and many other models This course is ideal for individuals who are Students, professionals, entrepreneurs and any other person interested in understanding data or Psychologists, sociologists, business researchers, data scientists, data analysts, entrepreneurs It is particularly useful for Students, professionals, entrepreneurs and any other person interested in understanding data or Psychologists, sociologists, business researchers, data scientists, data analysts, entrepreneurs.

Enroll now: Statistical Data Analysis with SPSS: a practical approach

Summary

Title: Statistical Data Analysis with SPSS: a practical approach

Price: $54.99

Average Rating: 4.3

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

To handle data in SPSS
To perform basic and advanced analysis in SPSS
To perform comparative analyses using t-tests, ANOVA, ANCOVA and multivariate ANOVA
To test simple and multiple linear regression models, logistic models and many other models

Who Should Attend

Students, professionals, entrepreneurs and any other person interested in understanding data
Psychologists, sociologists, business researchers, data scientists, data analysts, entrepreneurs

Target Audiences

Students, professionals, entrepreneurs and any other person interested in understanding data
Psychologists, sociologists, business researchers, data scientists, data analysts, entrepreneurs

In this course, you will learn how to perform statistical data analysis with one of the best statistical software in the world, called SPSS (Statistical Package for Social Sciences).

SPSS is indeed one of the best statistical software for many fields of research, such as social sciences, business intelligence, psychology, forensic research, medical research, and many others.

This course will present you with a research project that you will follow from the primary data generated by a survey, to a large set of statistical procedures able to extract valuable information from this data.

In this journey, you will learn to perform the following procedures in SPSS: to define variables and to introduce data, to import data, to transform and recode variables, to reverse and compute variables, to perform descriptive analysis, to perform independent and repeated measures t-tests, to perform independent and repeated Analysis of Variance (ANOVA), to perform multivariate ANOVA analysis, to perform ANCOVA analysis, to perform correlations, to test simple and multiple linear regression models, to test logistic models, and all other procedures that a well-trained analyst should know.

For each presentation, there are several exercises and databases attached as downloadable resources, which you can use to consolidate your knowledge about how to use SPSS properly.

Finally, this course is an ongoing process, which means that each new week or month, there will be constantly uploaded new lectures in order to upgrade your knowledge continuously.

So, what are we waiting for? Let’s go!

Course Curriculum

Chapter 1: Defining variables, introducing and importing data in SPSS

Lecture 1: Introduction to the project

Lecture 2: Defining variables in SPSS

Lecture 3: Introducing data into SPSS

Lecture 4: Importing databases into SPSS

Chapter 2: Handling data and performing descriptive analysis in SPSS

Lecture 1: Recoding and transforming variables in SPSS

Lecture 2: Reversing and computing variables in SPSS

Lecture 3: Descriptive statistics in SPSS

Lecture 4: Selecting cases and splitting data in SPSS

Chapter 3: Comparative analyses in SPSS (t-tests, ANOVA and ROC curves)

Lecture 1: The independent samples t-test

Lecture 2: The independent samples ANOVA

Lecture 3: The repeated measures t-test

Lecture 4: The repeated measures ANOVA

Lecture 5: The ROC curves analysis

Chapter 4: Correlation and regression analysis in SPSS

Lecture 1: The Pearson correlation in SPSS

Lecture 2: The simple linear regression in SPSS

Lecture 3: The multiple linear regression in SPSS

Lecture 4: Hierarchical and stepwise regression in SPSS

Lecture 5: Logistic regression in SPSS

Chapter 5: Multifactorial AN(C)OVA models in SPSS

Lecture 1: The independent factorial ANOVA in SPSS

Lecture 2: The Analysis of Covariance (ANCOVA) in SPSS

Lecture 3: The mixed factorial ANOVA

Lecture 4: Lecture 22: Final

Instructors

Sebastian Pintea
Associate Professor, PhD

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 6 votes
4 stars: 20 votes
5 stars: 47 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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