Psychology 120

Research Methods in Psychology

Three Research Methods

  • Method 1: Experimental Research

    • Strengths:

    • Allows researchers to determine cause-and-effect relationships by manipulating independent variables.

    • High control over extraneous variables enhances internal validity.

    • Limitations:

    • May lack ecological validity due to artificial settings.

    • Ethical concerns can limit the feasibility of certain experiments.

    • Example:

    • A researcher tests the effect of sleep deprivation on cognitive performance by randomly assigning participants to a sleep-deprived group and a control group.

  • Method 2: Observational Research

    • Strengths:

    • Provides insights into natural behaviors in real-world environments.

    • Useful for generating hypotheses that can later be tested experimentally.

    • Limitations:

    • Observer bias can influence results.

    • Cannot establish cause-and-effect relationships.

    • Example:

    • A psychologist observes children's interactions during recess to note social behaviors without intervening.

  • Method 3: Survey Research

    • Strengths:

    • Can gather data from large samples quickly and efficiently.

    • Useful for collecting self-reported data on attitudes, opinions, and behaviors.

    • Limitations:

    • Responses can be influenced by social desirability bias.

    • Surveys may not accurately capture complex behaviors or thoughts.

    • Example:

    • A researcher uses an online questionnaire to assess college students' stress levels during finals week.

Qualitative vs. Quantitative Data

  • Qualitative Data:

    • Refers to non-numerical data that describes characteristics or qualities.

    • Examples:

      • Open-ended interview responses about personal experiences.

      • Observational notes describing the behavior of a group during a therapy session.

  • Quantitative Data:

    • Involves numerical data that can be quantified and analyzed statistically.

    • Examples:

      • Scores on a standardized test (e.g., SAT scores).

      • The number of therapy sessions attended by patients over a month.

Strengths and Limitations of Data Types

  • Qualitative Data:

    • Strengths:

    • Provides in-depth insight into participants’ experiences and perspectives.

    • Captures context and complexity of emotions or social phenomena.

    • Limitations:

    • Difficult to analyze statistically and generalize findings.

    • Time-consuming to collect and interpret.

  • Quantitative Data:

    • Strengths:

    • Easier to analyze statistically and draw generalizable conclusions.

    • Can handle larger sample sizes and is often more objective.

    • Limitations:

    • May not capture the richness of human experience.

    • Risk of oversimplifying complex phenomena into numerical form.

Research Designs

  • Qualitative Designs:

    • Focus on understanding experiences (e.g., case studies, focus groups).

    • Strengths: Rich, detailed information; captures participant voice.

    • Limitations: Limited generalizability; potential for bias in interpretation.

  • Quantitative Designs:

    • Focus on numerical data and statistical analysis (e.g., experiments, surveys).

    • Strengths: High reliability; results can be replicated.

    • Limitations: May ignore context and rely on rigid structures.

Research Design Types

  • Experimental Design:

    • Involves conducting tests to determine if manipulating an independent variable causes changes in a dependent variable.

    • Key Components:

      • Hypothesis: A testable statement predicting the outcome (e.g., "Sleep deprivation reduces cognitive performance.").

      • Independent Variable (IV): The variable manipulated (e.g., hours of sleep).

      • Dependent Variable (DV): The variable measured (e.g., cognitive performance scores).

      • Confounding Variables: Extraneous variables that could affect the DV (e.g., age, prior knowledge).

      • Operational Definitions: Clear definitions of how variables will be measured (e.g., cognitive performance measured by a standardized test).

  • Cross-Sectional Design:

    • Observes different subjects at one point in time to compare different variables (e.g., testing the knowledge of various age groups in one session).

  • Longitudinal Design:

    • Observes the same subjects over a period to detect changes or developments (e.g., studying a group of children until adulthood).

Research Types

  • Case Study:

    • An in-depth examination of a single subject or group, often used to explore rare phenomena or complex issues (e.g., studying a patient with a unique psychological disorder).

Key Organizations in Psychology

  • CPA: Canadian Psychological Association

    • Supports the advancement, communication, and application of psychology in Canada.

  • APA: American Psychological Association

    • Promotes the discipline of psychology and works to advance research, education, and practice in multiple areas.

  • CCAC: Canadian Council on Animal Care

    • Oversees the ethical use and care of animals in research and teaching.

Tri-Council Funding Agencies

  • The Tri-Council consists of:

    • CIHR: Canadian Institutes of Health Research

    • NSERC: Natural Sciences and Engineering Research Council

    • SSHRC: Social Sciences and Humanities Research Council

Ethical Principles in Psychology

  • The CPA outlines four principles of ethics:

    • Respect for the Dignity of Persons: Prioritizing the rights and dignity of individuals.

    • Integrity in Relationships: Fostering honesty and transparency in research and professional relationships.

    • Responsibility to Society: Contributing positively to society through research and practice.

    • Professional Competence: Ensuring qualified professionals provide services to those in need.