About This Chapter
Intro to Psychology: Statistics, Tests and Measurement
This topic delves further into the practice of psychology as a science. Psychology's reliance on careful research design and statistical analysis make it a more precise and reliable measure of behavior than casual observation. Psychology seeks to answer questions about behavior in a systematic, scientific way.
In the introductory lesson, we'll examine key concepts of the scientific method and scientific control. A lesson on research design comes next, outlining the advantages and disadvantages of descriptive, correlational and experimental psychological research. We'll take a look at the different types of questions psychologists ask, and how to tell which kinds of questions are best suited for which kinds of research designs.
Next, we'll go into some of the more technical aspects of designing and interpreting research. A lesson on reliability and validity establishes the importance of thinking through questions of measurement and causation before conducting research. Without careful planning, psychologists can find out too late that their methods do not reliably measure what they intend, or that the effect they attribute to one thing is actually caused by another. A lesson on statistical analysis goes through some of the techniques psychologists use to interpret the data they get from their studies. We cover the difference between descriptive and inferential statistics and go into some of the key components of each. Ultimately, we reinforce the importance of reliable statistics for answering a psychologist's original research question.
We hope you'll use this series of lessons to become more fully acquainted with the process of answering questions about behavior by carefully designing a research study and interpreting its results using statistical analysis. You should be able to understand the challenges and limitations of different types of research, and apply the lens of the scientific method to all the fields of psychology you've studied thus far.
1. Introduction to Research Design & Statistical Analysis for Psychology
What do psychologists have to think about when designing studies and interpreting results? In this lesson, you'll explore how the scientific method can help with the difficult task of studying behaviors and their potential causes.
2. Types of Research Designs in Psychology
What are the three main research designs, and what are their advantages and disadvantages? In this lesson, you'll explore the different goals behind descriptive, correlational and experimental research designs.
3. Reliability & Validity in Psychology: Definitions & Differences
How do validity and reliability contribute to study design in psychology? In this lesson, you'll look at how experiments can fail reliability and validity requirements to get an idea of the challenges behind conducting significant psychological research.
4. Statistical Analysis for Psychology: Descriptive & Inferential Statistics
What are the two main types of statistics used by psychologists? In this lesson, you'll start to see what psychologists need to do to analyze their data and test the significance of their results.
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Other chapters within the Psychology 101: Intro to Psychology course
- History & Fundamental Theories of Psychology
- Biological Bases of Behavior for Psychology
- Importance of Sensation and Perception
- States of Consciousness in Psychology
- Introduction to Learning in Psychology
- Cognition Theories & Processes
- Motivation & Emotion Theories in Psychology
- Developmental Psychology Theories & Stages
- Overview of Personality in Psychology
- Social Psychology Concepts & Theories
- Types of Psychological Disorders
- Types of Psychological Treatments
- Trends in the Study of Psychology
- Studying for Psychology 101