About This Chapter
Who's it for?
Anyone who needs help learning or mastering research methods in psychology material will benefit from taking this course. There is no faster or easier way to learn about psychology research methods. Among those who would benefit are:
- Students who have fallen behind in understanding hypothesis testing and statistical significance
- Students who struggle with learning disabilities or learning differences, including autism and ADHD
- Students who prefer multiple ways of learning psychology (visual or auditory)
- Students who have missed class time and need to catch up
- Students who need an efficient way to learn about inferential statistics in psychology
- Students who struggle to understand their teachers
- Students who attend schools without extra psychology learning resources
How it works:
- Find videos in our course that cover what you need to learn or review.
- Press play and watch the video lesson.
- Refer to the video transcripts to reinforce your learning.
- Test your understanding of each lesson with short quizzes.
- Verify you're ready by completing the Inferential Statistics in Psychology chapter exam.
Why it works:
- Study Efficiently: Skip what you know, review what you don't.
- Retain What You Learn: Engaging animations and real-life examples make topics easy to grasp.
- Be Ready on Test Day: Use the Inferential Statistics in Psychology chapter exam to be prepared.
- Get Extra Support: Ask our subject-matter experts any inferential statistics question. They're here to help!
- Study With Flexibility: Watch videos on any web-ready device.
Students will review:
This chapter helps students review the concepts in an inferential statistics unit of a standard research methods in psychology course. Topics covered include:
- Processes involved in hypothesis testing
- Levels of statistical significance
- One-tailed and two-tailed tests
- Chi-square and t-tests
- Analysis of variance (ANOVA)
1. Inferential Statistics for Psychology Studies
Psychology is a science, which means that in order to understand people's thoughts and behaviors, a basic understanding of statistics is necessary. Most psychology studies use inferential statistics. This lesson covers basic types of inferential statistics, as well as how to decide whether a hypothesis was supported by the results.
2. Hypothesis Testing: Comparing the Null & Alternative Hypothesis
This lesson explores the process of comparing the null and the alternative hypothesis, as well as how to differentiate between the two after your testing is done.
3. Statistical Significance: Definition, Levels & Critical Regions
This lesson explores the basic principle of statistical significance and why it is important to understand when performing nearly any statistical test.
4. One-Tailed Vs. Two-Tailed Tests: Differences & Examples
This lesson explores the difference between the one-tailed and two-tailed tests. We will look at what they mean in statistical testing, as well as when you should and should not use them.
5. What is a Chi-Square Test? - Definition & Example
This lesson explores what a chi-square test is and when it is appropriate to use it. Using a simple example, we will work on understanding the formula and how to calculate the p-value.
6. What Are t-Tests? - Assessing Statistical Differences Between Groups
This lesson explores how a researcher may use a t-Test. In addition, simple to follow instructions will demonstrate how to manually complete a t-Test.
7. Using ANOVA to Analyze Variances Between Multiple Groups
This lesson explores what an analysis of variance, or ANOVA, is and how you as a researcher may use it to find the difference between multiple levels of the same variable without doing a ton of T-tests.
8. One-Tailed Test: Definition & Examples
This lesson defines one-tailed tests, a type of statistical significance test. It also describes when they are used and how to interpret the results as well as providing a step-by-step analysis method.
9. Representative Sample in Psychology: Definition & Example
A representative sample is drawn from a population of interest and has demographics and characteristics that match those of the population in as many ways as possible.
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Other chapters within the Research Methods in Psychology: Help and Review course
- Introduction to Research Methods: Help and Review
- Principles of Ethical Research: Help and Review
- Setting Up the Research Study: Help and Review
- Data Collection Techniques in Psychology: Help and Review
- Nonexperimental Research: Help and Review
- Qualitative Research Methods and Design: Help and Review
- Quasi-Experimental Research: Help and Review
- Sampling and Generalization: Help and Review
- Measurement in Research: Help and Review
- Internal Validity in Research: Help and Review
- External Validity: Help and Review
- Experimental Design: Help and Review
- Descriptive Statistics in Psychology: Help and Review
- Evaluating Research Findings: Help and Review
- Ethics in Counselor-Supervisor Relationships