Ch 26: Using Data in Psychology

About This Chapter

This chapter goes over various methods and considerations of utilizing data in psychology. You'll review concepts and terminology relevant to this part of psychological research while exploring related examples.

Using Data in Psychology - Chapter Summary

This chapter examines numerous approaches to using data in psychological research. The lessons within flesh out several important concepts of data collection and application while discussing related terms and examples. By the end of the chapter you'll have bolstered your understanding of topics like outgroup homogeneity, statistical bias, Response to Intervention, and all of the following:

  • Forms of Heuristics
  • Using algorithms in psychology
  • Cultural bias
  • Evidence-based practice
  • Measuring change after intervention
  • Techniques of applied behavior analysis

The dashboard feature allows you to keep tabs on your progress as you go along, with links to relevant practice quizzes and additional courses you can consider as a means of supplementing your studies. These quizzes can be taken an unlimited number of times and can also be printed as worksheets if you need a break from the computer.

6 Lessons in Chapter 26: Using Data in Psychology
Test your knowledge with a 30-question chapter practice test
Types of Heuristics: Availability, Representativeness & Base-Rate

1. Types of Heuristics: Availability, Representativeness & Base-Rate

Did you know that our brain uses strategies to process information and draw conclusions? Although we're able to reach conclusions through these mental strategies, sometimes, our reasoning can be off. Read on to discover how our brain draws these conclusions and why they can be wrong.

How Algorithms are Used in Psychology

2. How Algorithms are Used in Psychology

Algorithms are step-by-step logical procedures that, if followed faithfully, always produce an accurate result. In this lesson, we will discuss how algorithms are used in psychology.

Outgroup Homogeneity: Definition & Effects

3. Outgroup Homogeneity: Definition & Effects

In this lesson, we'll learn about outgroup homogeneity, including how it compares to ingroups. Learn more about the effects of outgroup homogeneity from examples, and test your knowledge with a quiz.

Bias in Statistics: Definition & Examples

4. Bias in Statistics: Definition & Examples

Statistics can be a powerful tool in research. Unfortunately, statistics can also have faults. In this lesson, you will learn about the faults in statistics and how to critically examine potential biases in research.

Applied Behavior Analysis: Definition & Techniques

5. Applied Behavior Analysis: Definition & Techniques

In this lesson, we will discuss applied behavior analysis, one of the most common and evidence-based methods used to treat Autism. Learn about the techniques that are used and more. Then, test your knowledge.

What Is Response to Intervention (RTI)? - Tiers & Strategies

6. What Is Response to Intervention (RTI)? - Tiers & Strategies

The Response to Intervention process, or RTI, was designed and implemented in public schools as an attempt at early intervention for students with exceptional educational needs. In this video, we will look at the basics of this process.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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