Research Methods in Psychology: Study Notes

Research Methods in Psychology

Overview of Research Methods

Research methods are essential tools in psychology for systematically investigating questions about behavior and mental processes. This section introduces the main types of research designs, ethical considerations, and basic statistical concepts.

• Types of Research Designs:

  • Observational Research

  • Case Studies

  • Surveys & Correlational Designs

  • Experimentation

• Ethics: Principles guiding responsible research conduct.

• Introduction to Statistics: Basic tools for analyzing and interpreting data.

Importance of Good Research Design

Why We Need Research Designs

Good research design helps psychologists avoid biases and see the world as it truly is, including the psychological world. It ensures that findings are valid and reliable.

• Avoiding Bias: Systematic methods help prevent personal and cognitive biases in evaluating information.

• Example – Facilitated Communication:

  • Premise: Children with autism are as intelligent as other children but have motor problems preventing communication.

  • Facilitator assists child in typing on a keyboard.

  • Research showed that the facilitator, not the child, produced the communications.

Two Modes of Thinking

Intuitive vs. Analytical Thinking

Psychological research recognizes two main modes of thinking, each with distinct characteristics and roles in decision-making.

• Intuitive Thinking (System 1):

  • Quick and reflexive; based on "hunches"

  • Requires little mental effort

• Analytical Thinking (System 2):

  • Slow, reflective, and deliberate

  • Requires significant mental effort

• Importance: While intuitive thinking is adaptive, over-reliance can lead to errors. Research methods help avoid these pitfalls.

Types of Research Designs

Overview of Designs

Psychological research employs several designs to investigate questions about behavior and mental processes.

• Observational Research: Includes naturalistic observation.

• Case Studies: In-depth analysis of individuals or small groups.

• Surveys: Use questionnaires to gather self-reported data.

• Correlational Designs: Examine associations between variables.

• Experiments: Manipulate variables to test causal relationships.

Defining Variables in Research

Conceptual and Operational Definitions

Clear definitions of variables are crucial for valid research. Researchers distinguish between conceptual and operational definitions.

• Conceptual Definition: Specifies the phenomenon or construct of interest (e.g., happiness, driving performance).

• Operational Definition: Provides a working definition by describing how the variable is measured or manipulated. Converts abstract concepts into measurable entities.

• Example – Driving Performance:

  • Lane departures and following distance

  • Number of crashes

  • Response time

Observational Research

Types of Observational Research

Observational research involves systematically watching and recording behavior without manipulating variables. It is a non-experimental approach.

• Naturalistic Observation: Observing behavior in real-world settings without interference.

• Participant Observation: The researcher becomes part of the group or social setting being studied (e.g., ethnography).

• Structured Observation: Researchers set up specific conditions to observe behavior.

Advantages and Disadvantages of Observational Research

• Advantages:

  • High ecological validity (findings apply to real-world settings)

  • External validity (generalizability to other contexts)

• Disadvantages:

  • Lack of internal validity (cannot infer causation)

  • Reactivity (observation may alter behavior)

*Additional info: These notes are based on lecture slides and class notes for a college-level psychology course, focusing on foundational research methods and introductory statistics.*