Psychology - Research Methods in Psychology
- Psychology
- Texas A&M University
- 8 pages
- Shared March 2026
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Study Guide Psychology – Research Methods in Psychology 1. Descriptive and Correlational Research All scientific research starts with observation and description . Before we can explain or predict behavior , we need to carefully observe it. In psychology, there are several ways to describe behavior, including case studies, surveys, naturalistic observation, interviews, and psychological tests . 1. 1 Case Studies • What it is: A case study is an in - depth study of a single person or a small group . • Purpose: It helps researchers learn a lot about individual behavior or mental processes. • Example: Sigmund Freud developed psychoanalytic theory by carefully studying patients with emotional problems over many years. Pros: Provides rich, detailed information. Cons: Time - consuming and cannot represent large populations . 1. 2 Surveys • What it is: Surveys ask people questions about a topic, often using a large and diverse sample. • Example: The famous Kinsey survey on sexual behavior. Pros: Can collect information from many people quickly. Cons: • Respondents may not represent the whole population . • People might not answer honestly or may skip questions. 1. 3 Naturalistic Observation • What it is: Observing people or animals in their natural environment without interfering. • Example: Studying lions in the wild instead of in a zoo, or observing children at home rather than in a lab.
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Study Guide Pros: Shows behavior as it naturally occurs. Cons: Researchers have less control over the environment. 1. 4 Psychological Testing • What it is: Standardized tests measure specific behaviors or traits . • Examples: Intelligence tests, aptitude tests, achievement tests. Key requirements: • Reliability: The test gives consistent results. • Validity: The test actually measures what it is supposed to measure. 1. 5 Correlation • What it is: Correlation measures the relationship between two or more variables . • Purpose: It can show whether one variable predicts another. Important: • Correlation does not equal causation. Just because two things are related does not mean one causes the other . Example: • Boys sometimes score higher than girls on certain math tests, showing a correlation between gender and math scores . • But this does not mean gender causes differences in math ability. • Other factors — like different educational encouragement, parental beliefs, or societal expectations — can explain these differences. In short: • Descriptive research helps us observe and record behavior . • Correlational research helps us understand relationships between variables. • Together, these methods provide a foundation for developing theories and further experimental research.
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Study Guide 2. Experimental Research When researchers want to understand cause and effect , they usually use experimental research . Experiments are often conducted in a laboratory , which allows scientists to control the environment and carefully follow the steps of the scientific method . 2. 1 Formulating the Problem Every experiment starts with a question about behavior or mental processes . Example: A researcher might wonder if background music affects typing speed . • The researcher defines the variables: o Independent variable (IV): The factor being manipulated (e.g., background music). o Dependent variable (DV): The factor being measured (e.g., typing speed). • Then, the researcher makes a hypothesis , a prediction about the relationship: o Example: “Increasing the loudness of background music will decrease typing speed.” Tip: Think of the IV as the cause and the DV as the effect. 2. 2 Designing the Study Next, the researcher decides how to conduct the experiment . • Laboratory studies are common because they allow control over variables. • Example setup: All participants use the same typewriters in the same room. • The researcher also chooses a design: 1. Between - subjects design: Two groups of participants with similar typing skills are exposed to different music levels. 2. Within - subjects design: The same participants are tested under multiple music levels. Each design has pros and cons, and the choice depends on the research question and practical considerations.
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