Introduction to research methods

    Cards (30)

    • What is the starting point to develop a research question?
      A comprehensive literature search
    • Why is it important to find a balance when developing a research question?
      To avoid starting the study design too early
    • What are the criteria of a good research question?
      • Focus: balance between general and specific
      • Relevant: provides practical benefits or improves understanding
      • Realistic: sufficient resources/time to find answers
      • Safety check: literature review
    • What should be considered when evaluating sources in a literature review?
      Specificity, generalizability, and validity of the research
    • What is an independent variable?
      The variable that is controlled and manipulated by the experimenter
    • What is a dependent variable?
      The variable that is measured by the experimenter
    • What types of data are needed for dependent variables?
      Nominal, ordinal, interval, or ratio data
    • What are confounding variables?
      Variables related to both the independent and dependent variables that cannot be controlled
    • What are extraneous variables and their types?
      • Participant variables: individual characteristics affecting responses
      • Situational variables: environmental factors impacting responses
    • What are the types of research designs?
      • Observational: records behavior as is
      • Archival: uses existing data
      • Case Study: examines existing situations
      • Survey/Interview: records responses as received
    • What is the limitation of non-experimental research?
      It cannot determine cause and effect
    • What are the characteristics of true experiments?
      • Complete control by researchers
      • Random assignment to conditions
      • Requires a control group
      • Involves independent variables
    • What does a single-factor design mean?
      Only one independent variable is used
    • What is a factorial design?
      A design that involves two or more independent variables
    • What does experimental control mean?
      • Standard for comparison (control group)
      • Minimizing variability
    • How can experimental control be increased?
      • Use a lab setting
      • Refine measurement instruments
      • Replicate findings
    • What is a within-subjects design?
      • Each participant serves as their own control
      • Includes control and experimental conditions
    • What are the benefits of a within-subjects design?
      Economical and sensitive to manipulation effects
    • What is a disadvantage of a within-subjects design?
      Potential carry-over effects
    • What is a between-subjects design?
      • Involves two different groups of people
      • Experimental group receives the IV, control group does not
    • What is random assignment?
      Every participant has an equal chance to be in a group
    • What is matching in research design?
      Ensuring experimental and control groups are equal on certain variables before the experiment
    • What is quasi-experimental research?
      • Lacks complete control over study conditions
      • Participants are selected rather than randomly assigned
    • What is an alternative hypothesis?
      A testable statement predicting the relationship between variables
    • What is a null hypothesis?
      It states there is no difference between groups or no relationship between variables
    • What is the difference between one-tailed and two-tailed hypotheses?
      One-tailed specifies direction, while two-tailed does not
    • What are subject variables?
      • Self-selecting variables (e.g., sex, intelligence)
      • Cannot be controlled or manipulated
    • What are parametric tests?
      • Tests that assume population parameters
      • Require interval or ratio scale data
    • What are non-parametric tests?
      • Tests that make no assumptions about population parameters
      • Use categorical data (nominal and ordinal)
    • What is a frequently used non-parametric test for nominal data?
      Chi-Square test (χ²)
    See similar decks