Research Methodology Overview

Example Research and Data Privacy

  • Example Research Definition

    • Falls in the category of research that does not capture identifiable data from individuals.

  • Illustration of Non-Identifiable Data Collection

    • Anecdote about a survey conducted outside a mall for a Snickers bar:

    • Questions include:

      • Purpose of shopping at the mall

      • Intended expenditure

      • Follow-up on whether the participant made a purchase.

    • Context of other incentives offered to encourage survey completion.

  • Exemption of Research

    • Research that does not capture personal data is typically exempt from rigorous ethical scrutiny.

Purpose and Levels of Research

  • Diverse Intent of Research

    • Different levels exist to recognize varying intents and purposes of research.

  • Risk Assessment in Research

    • Examples of drug trials emphasize the importance of identifying participants due to implications for familial medical history.

    • Ethical implications in research, such as risks to participants, can lead to severe consequences (e.g., legal penalties) if harm is caused through research.

Ethical Oversight and Regulations

  • Institutional Review Boards (IRBs)

    • Role: To oversee and ensure ethical standards are maintained in research involving human subjects.

    • Governed and regulated by governmental agencies.

  • Historical Context of Research Funding

    • Observations regarding research advancements during the 1970s and 1980s concerning U.S. leadership in research due to substantial funding in STEM fields.

    • Recent cuts in research funding and potential political implications related to the findings of certain studies.

  • Current Challenges in Educational Institutions

    • Financial constraints affecting schools linked to the decline in research funding.

Expedited Research Proposal

  • Definition of Expedited Research

    • Research categorized as low risk or minimal risk involving oversight without extensive regulatory scrutiny.

  • Concept of Minimal Risk

    • Definition: Minimal risk implies harm or discomfort anticipated in research is not greater than those encountered in everyday life.

    • Examples: Participants may answer questions about traumatic experiences without being psychologically triggered into reliving trauma.

  • Oversight Remains Essential

    • Importance of having a proper protocol to ensure participant safety, whether physical, emotional, or psychological.

Fundamental Research Issues

  • Objectives of the Course

    • Assist students in reading and interpreting research effectively, avoiding the pitfalls of being a poor consumer of research.

  • Analogy with Purchasing Behavior

    • Example of buying a car: Factors like affordability and reliability influence decision-making.

    • Current average price of cars exceeds $50,000, indicating that lower-priced options may lack reliability.

Understanding Validity in Research

  • Definition of Validity

    • Validity refers to whether a study measures what it purports to measure successfully.

  • Valid vs. Reliable

    • A valid measurement can produce reliable results; however, it is essential to differentiate between these concepts.

    • Example:

    • A survey aimed at measuring IQ but asking personality questions results in validity but lowers reliability.

Types of Validity

  1. Construct Validity

    • Definition: The extent to which a measurement accurately represents the theoretical variable being studied.

    • Importance of ensuring that research measures what it is intended to measure.

    • Example of a faulty ruler not accurately measuring 12 inches, analogous in constructing surveys and research protocols.

  2. Internal Validity

    • Definition: Accuracy of conclusions regarding cause-and-effect relationships drawn from a study.

    • Importance of scrutinizing the conclusions drawn from data regarding the impact of parental education on students' academic success.

  3. External Validity

    • Definition: The degree to which findings can be generalized to broader populations and settings.

    • Example of research findings that are only applicable to a small, specific group versus findings considered broadly applicable across diverse demographics.

  4. Conclusion Validity

    • Definition: The accuracy of conclusions drawn from the measurements made in research.

    • The need to ensure that the conclusions reflect the true implications of the study's results accurately.

Variables in Research

  • Independent Variable

    • Definition: The variable manipulated by the researcher to observe effects on the dependent variable.

    • Can include dosages, levels of intervention, etc.

  • Dependent Variable

    • Definition: The outcome variable impacted by the independent variable, such as student academic success measured by GPA or time of graduation.

  • Third Variables

    • Definition: Variables that can affect outcomes in both independent and dependent variables, often unaccounted for in studies.

Relationships Between Variables

  • Positive Relationship

    • Definition: As one variable increases, so does the other; example includes height and basketball ability.

  • Negative Relationship

    • Definition: One variable increases while the other decreases; example could be age and physical agility.

  • Curvilinear Relationship

    • Definition: A relationship where variables increase and then decrease or vice versa; it can manifest in various life situations such as spending patterns or church attendance.

  • No Relationship

    • Definition: Changes in one variable do not affect the other; exemplifying the lack of correlation in data.

Conclusion

  • Discussed importance of understanding research principles including validity, variables, and ethical considerations.

  • Emphasized critical thinking and applicability in real-life scenarios to improve research literacy.