SPSS Linear Regression Complete Tutorial with PhD Professor

SPSS Linear Regression Complete Tutorial with PhD Professor, available at $69.99, has an average rating of 4, with 47 lectures, based on 55 reviews, and has 1340 subscribers.

You will learn about SPSS Linear Regression for Business or Dissertation Visualizing Linear Regression Results Advanced topics like interactions and categorical predictors Dealing with data, distribution, and missing data problems Deep understanding of the process and meaning of the results This course is ideal for individuals who are Graduate students completing thesis or dissertation or Job-seekers interested in adding Linear Regression as a data analysis skill or Academic researchers or Psychology students interested in data analysis or Data Analysts looking to understand linear regression more completely It is particularly useful for Graduate students completing thesis or dissertation or Job-seekers interested in adding Linear Regression as a data analysis skill or Academic researchers or Psychology students interested in data analysis or Data Analysts looking to understand linear regression more completely.

Enroll now: SPSS Linear Regression Complete Tutorial with PhD Professor

Summary

Title: SPSS Linear Regression Complete Tutorial with PhD Professor

Price: $69.99

Average Rating: 4

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

SPSS Linear Regression for Business or Dissertation
Visualizing Linear Regression Results
Advanced topics like interactions and categorical predictors
Dealing with data, distribution, and missing data problems
Deep understanding of the process and meaning of the results

Who Should Attend

Graduate students completing thesis or dissertation
Job-seekers interested in adding Linear Regression as a data analysis skill
Academic researchers
Psychology students interested in data analysis
Data Analysts looking to understand linear regression more completely

Target Audiences

Graduate students completing thesis or dissertation
Job-seekers interested in adding Linear Regression as a data analysis skill
Academic researchers
Psychology students interested in data analysis
Data Analysts looking to understand linear regression more completely

In-depth modular class – learn only what you need! Includes optional modules for basics, advanced, & emergent problems.

Anyone can follow this step-by-step, end-to-end, in-depth tutorial for linear regression. The modular course covers all the possible pitfalls (well, pretty close), but in optional modules so you don’t get bogged down with stuff you don’t need.

I’ve poured all my consulting knowledge into this, even complex problems are covered in tremendous detail. However, you can skip the advanced information you don’t need or want.

Topics Covered:

Data Prep
Missing Data
Descriptive Statistics
Checking Normality / Assumptions
Variable Transformation
Simple Linear Regression
Multiple Linear Regression
Univariate and Multivariate Outliers
Interactions / Moderation
Interpretation of Results
Scatter Plots
Line Graphs
Graphing Interactions
Multicollinearity
Variable Centering
Non-Linear Relationships
Pre- & Post-Hoc Power Analysis
Other Emergent Issues

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Introduction Commentary

Chapter 2: Refresher and Basics

Lecture 1: Refresher and basics

Lecture 2: Refresher – basics you should know

Lecture 3: Importing Data

Lecture 4: Importing Data

Lecture 5: SPSS Basics

Lecture 6: SPSS Basics

Chapter 3: Linear Regression

Lecture 1: Descriptive Statistics and Normality Testing

Lecture 2: Descriptive Statistics and Normality Testing

Lecture 3: Simple Linear Regression: 1 predictor

Lecture 4: Simple Linear Regression (additional information)

Lecture 5: Multiple Regression: 2+ predictors

Lecture 6: Multiple Regression: 2+ predictors

Lecture 7: Categorical Predictors

Lecture 8: Categorical Predictors

Lecture 9: Stepwise Multiple Regression

Lecture 10: Stepwise Multiple Regression

Chapter 4: Interactions (also known as moderation)

Lecture 1: Interactions

Lecture 2: Interaction with 2 Continuous Predictors

Lecture 3: Interaction with 2 Continuous Predictors – more information

Lecture 4: Interaction with 2 Categorical Predictors

Lecture 5: Interaction with 2 Categorical Predictors

Lecture 6: Interaction with 2 Binary Predictors

Lecture 7: Interaction with 2 Binary Predictors

Lecture 8: Interaction with Categorical and Continuous Predictors

Lecture 9: Interaction with Categorical and Continuous Predictors

Lecture 10: Interaction with 3 Continuous Predictors (3-way)

Lecture 11: Interaction with 3 Continuous Predictors (3-way)

Chapter 5: Visualizations

Lecture 1: Visuals for Continuous Interactions

Lecture 2: Visuals for Continuous Interactions

Lecture 3: Plot Settings & Finishing for Continuous Interactions

Lecture 4: Plot Settings & Finishing for Continuous by Continuous Interactions

Lecture 5: Visuals for Categorical by Categorical Interactions

Lecture 6: Visuals for Categorical by Categorical Interactions

Chapter 6: Power Analysis for Linear Regression

Lecture 1: Power Analysis

Lecture 2: A Priori Power Analysis Text

Lecture 3: A Priori Power Analysis

Lecture 4: More Power Analysis and Effect Size

Lecture 5: Even More Power Analysis (not for everyone)

Lecture 6: Even More Power Analysis

Lecture 7: Post-hoc power analysis

Chapter 7: Emergent Needs and Problems (view only what you need)

Lecture 1: Univariate Outliers

Lecture 2: Multivariate Outliers

Lecture 3: Non-normal variable distributions

Lecture 4: Missing data handling in SPSS procedures

Lecture 5: Simple Slopes Analysis

Instructors

Stats Friend
Statistics and Research Consultant, I/O Psychologist

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 5 votes
4 stars: 19 votes
5 stars: 30 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu