Research Methods in Psychology: Study Guide

Research Questions in Psychology

Formulating Research Questions

Research in psychology begins with identifying what you want to study or learn about. Good research questions are clear, focused, and answerable.

• Common sense assumptions: Ideas taken for granted, often tested in research.

• Observations in the real world: Noticing patterns or behaviors that prompt investigation.

• Solving real-world problems: Addressing practical issues through research.

• Understanding how something works: Exploring processes or causes behind phenomena.

Research Participants

Participants are the individuals or groups studied in psychological research.

• Population: The entire group of interest (e.g., all PSYCH1010 students at York).

• Sample: A smaller group drawn from the population (e.g., 20 students from PSYCH1010).

Random Selection

Random selection ensures every member of the population has an equal chance of being chosen, making the sample representative.

• Helps generalize findings to the broader population.

• Important for generalizable studies (e.g., experiments).

Why Random Selection Matters

Random selection reduces bias and increases the accuracy of research findings.

• If selection is biased (e.g., only people with free time respond), results may not reflect the whole population.

• Skewed samples can lead to inaccurate conclusions.

Operationalization and Measurement

Operationalizing Variables

Operationalization involves defining variables in terms of specific, testable procedures that can be measured and observed.

• Example: Measuring aggression in children (e.g., frequency of hitting).

• Example: Measuring stress levels in university students (e.g., self-report scales).

Research Methods

Naturalistic Observation

Observing and recording behavior in a real-world setting without interference.

• Advantages:

  • High external validity (reflects real behavior).

  • Provides rich, detailed information.

  • Sometimes the only way to study certain behaviors.

• Disadvantages:

  • Lack of control over variables.

  • Time- and resource-consuming.

  • Risk of observer bias.

  • Cannot determine cause and effect.

• Example: Studying how often university students use laptops for non-class activities.

Case Studies

In-depth analysis of a single person, group, or setting, often used to study rare or unusual phenomena.

• Produces qualitative data.

• Commonly used for rare, unusual, or noteworthy cases.

Self-Report/Survey Methods

Collecting data by asking participants to describe their own behaviors, attitudes, opinions, or perceptions.

• Issues/Limitations:

  • Participants may want to look good or avoid criticism.

  • Responses can be careless or random.

  • Participants may misunderstand questions.

• Response bias: Giving untruthful answers.

• Social desirability: "Faking good" to appear better or more acceptable.

Examples of Social Desirability Responses

• People who mess with me always regret it.

• I say anything to get what I want.

• I know I am special because everyone keeps telling me so.

• I get bored hanging around ordinary people.

• Many group activities tend to be dull without me.

• Whatever it takes, you must get the important people on your side.

• There are things you should hide from other people because they don’t need to know.

• Make sure your plans benefit you, not others.

Personality Traits

• Psychopathy: Lack of empathy, shallow emotions, and manipulative or antisocial behavior.

• Narcissism: Excessive self-focus and need for admiration, often with little empathy for others.

• Machiavellianism: Manipulation, deceit, and focus on personal gain and power.

Evaluating Measures

Reliability

Reliability is the consistency of a measurement over time or across observers.

• Test-retest reliability: Consistency of a measure over time.

• Inter-rater reliability: Consistency across different observers. Uses Cohen’s Kappa to assess agreement.

Example: Observing how participants interact with a cat and recording behaviors.

Validity

Validity refers to how well a measure actually assesses what it claims to measure.

• A test must be reliable to be valid, but a reliable test can still be invalid.

• Example: Feline preference scale (1-7).

Scale Items and Problems

• I watch videos of cats often

• I enjoy being around cats

• I think cats are cute

• I prefer cats to dogs

• I think cats are smarter than dogs

Problem: Some items may not directly measure the intended construct (e.g., liking cats), reducing validity.

Correlation/Non-experimental Method

Examines the strength and direction of the relationship between variables. Variables are observed, not manipulated.

• Correlation coefficient (r): Ranges from -1.0 to +1.0

$r = \text{correlation coefficient}$

• Positive r: variables increase together

• Negative r: one increases while the other decreases

• Higher absolute value = stronger relationship

Example: Relationship between texting speed and relationship drama; relationship between video games and aggression.

Correlation vs. Causation

Third Variables/Confounds in Correlation

Correlation does not imply causation. A third variable may influence both variables being studied.

• Example: Research shows kids with dogs are happier than kids without dogs. Possible confounds include physical activity, social interaction, companionship, time outdoors, stress control, and responsibility.

Correlation/Non-experimental Designs

• Advantages:

  • Can establish trends across large amounts of data.

  • Good for describing behavior.

  • Can be used to predict future behavior.

  • Sometimes necessary due to ethical issues.

• Disadvantages:

  • Cannot infer causal direction.

  • Third-variable problem (confounding variable).

Experimental Method

Experimental Design

Used to determine cause-and-effect relationships by manipulating variables.

• At least one variable is manipulated (Independent Variable, IV) and one is measured (Dependent Variable, DV).

• Participants are randomly assigned to experimental or control groups.

Independent Variable (IV)

• The variable manipulated by the researcher to see its effect.

• Must have at least two levels/conditions.

• Examples:

  • Coffee study: Amount of coffee consumed.

  • Dog study: Presence or absence of a dog.

  • Music study: Type of music played.

Dependent Variable (DV)

• The measured outcome affected by the IV.

• Examples:

  • Coffee study: Students’ note-taking speed.

  • Dog study: Child’s happiness.

  • Music study: Test performance.

Control Condition

• Provides a baseline for comparison and lacks the manipulation.

• Example: No coffee, no dog, no music.

Key Points in Experimental Design

• Operationalization: Must have clear, measurable levels.

• Random assignment ensures groups are comparable.

• Helps determine causal influence between variables.

High Internal Validity

High internal validity means a high degree of certainty that the IV caused changes in the DV.

• Confound: A variable not of interest that changes along with the IV and could explain the results.

• Confounds threaten internal validity.

Ethics in Psychological Research

The Tuskegee Syphilis Study

Conducted in 1932 on Black men to study syphilis.

• Participants were denied treatment, even after a cure became available.

• Example of unethical research practices.

Summary Table: Key Research Methods

Method	Main Features	Advantages	Disadvantages
Naturalistic Observation	Observe behavior in real-world settings	High external validity, rich data	Lack of control, cannot infer causality
Case Study	In-depth analysis of one case	Detailed, qualitative data	Limited generalizability
Survey/Self-report	Participants report own behaviors/attitudes	Efficient, can reach large samples	Response bias, social desirability
Correlation	Examines relationships between variables	Can analyze large data sets, predict behavior	Cannot infer causality, confounds
Experiment	Manipulate IV, measure DV	Can infer causality, control variables	May have ethical/practical limits

Additional info: Some explanations and examples have been expanded for clarity and completeness.