Sage Publications

Analyzing Relationships and Advanced Statistical Models

Sage Publications

Analyzing Relationships and Advanced Statistical Models

Sage Instructors

Instructor: Sage Instructors

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Interpret and analyze raw data using core statistical methods

  • Apply probability concepts to real-world situations

  • Conduct hypothesis testing and evaluate statistical theories

Details to know

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Recently updated!

October 2026

Assessments

6 assignments

Taught in English

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This course is part of the An Adventure in Statistics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 5 modules in this course

This module explores statistical methods for analyzing relationships in categorical data, including chi-square tests, Yates's correction, and Bayesian approaches. Learners will examine how to interpret correlations, calculate effect sizes, and apply statistical reasoning to real-world interpersonal scenarios.

What's included

1 video15 readings1 assignment

This module explores the fundamentals of the general linear model, including how to estimate and interpret regression coefficients, assess model fit, and use computational tools to build and refine models. Learners will develop an understanding of statistical modeling techniques and their practical applications in data analysis.

What's included

1 video14 readings1 assignment

This module explores statistical methods for comparing two means, including t-tests, linear models, and effect sizes. Learners will gain an understanding of how to interpret experimental results, assess variability, and apply these techniques to real-world data analysis scenarios.

What's included

1 video14 readings1 assignment

This module explores statistical methods for comparing multiple means, including techniques like dummy coding, F-ratios, and variance partitioning. Learners will gain an understanding of how to analyze group differences and interpret statistical models in real-world scenarios.

What's included

1 video22 readings1 assignment

This module explores the use of factorial designs in experimental research, focusing on how variables interact and influence outcomes. Learners will gain insight into statistical analysis techniques such as SS decomposition, F-ratios, and Bayes factors. The content also includes practical applications of these concepts using real-world data examples.

What's included

1 video12 readings2 assignments

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Instructor

Sage Instructors
Sage Publications
174 Courses9,073 learners

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