METHODS1

Date: January 8th, 2025
Announcement:
  - Recording: The Friday class will be a recording only. A pre-recorded lecture for Methods 2 will be available on Canvas under the MEDIA GALLERY.
  - Testable Material: Content from the lecture will be testable in upcoming quizzes. Students are encouraged to watch it before taking the quiz.
  - Final Exam Review: The last class will also be a recorded session focused on final exam review.

Methods: Different approaches to explain behaviors include:
  - Authority: Relying on someone else’s assertion.
  - Intuition: Relying on a gut feeling or instinct.
  - Pure Observation: Gaining insights from personal experiences and observations.

Limitations: Observational methods have several issues:
  - Observation is not always possible: Situations may arise where observation cannot be conducted.
  - Observation is not always true: Observations can lead to inaccuracies.
  - Changing Observations: Personal observations can evolve over time due to various factors.
  - Disagreement on Experience: Different interpretations of experiences can lead to disagreement (e.g., as illustrated in the “fast/slow rats” study).

Science: A community engaged in a systematic approach to observe, predict, and explain phenomena.
  - Scientific Method: Comprises major elements, including:
    - Theories: Propositions that explain why or how phenomena occur.
    - Hypotheses: Specific predictions about outcomes in specific situations.
    - Studies/Experiments: Rigorous tests designed to assess hypotheses through observation in tailored situations.

Universality Concept: Refers to the scope and applicability of a hypothesis or theory across different populations. The categorization includes:
  - All People (Universal): The theory applies to every individual without exception.
  - Most People: Applies to the majority but not all.
  - Majority of People: Holds for many, yet allows for some deviations.
  - Some People: Limited applicability to a subset.
  - Few People: Extremely narrow applicability.

Fundamental Assumptions:
  1. Human nature can be properly studied and tested scientifically.
  2. Certain components of human nature are stable, predictable, and universally applicable.
  3. Generalizations should reflect group trends, not judgments on individuals.
Science vs. Other Knowledge Forms: Although science is a vital approach in psychology, it is not the only or best way to derive knowledge.

Managing Biases: Several practices help alleviate biases in scientific observation:
  - Scientific Skepticism: Maintain a critical stance towards any theory or hypothesis, avoiding attachment.
  - Peer Review: Submit findings for review by other scientists to validate conclusions.
  - Replication: Conduct multiple studies in similar conditions to verify consistency. No single study can offer definitive proof; data accumulation is essential.
  - Falsifiable Hypotheses: Create hypotheses that can be tested and proven false based on evidence.

New Methodologies: To advance observation techniques, various strategies are employed:
- Openness: Ensure all data is accessible for verification.
- Double-Blind Experiments: Neither the participant nor the data collector knows about the hypothesis to minimize bias.

Overall Steps:
  - Hypothesize: Formulate a hypothesis based on observations.
  - Operationalize: Define the variables in measurable terms.
  - Measure: Collect data using various tools and methods.
  - Analyze and Interpret: Evaluate data to derive conclusions.
  - Report: Communicate findings with the broader community.

Operational Definition: Describes psychological properties using measurable and observable terms. Examples include:
  - “Stage fright”: Examples of operationalizing include:
    - Good Measure: Heart-rate measured immediately before a performance.
    - Not Great Measure: Counting phrases like “I’m so nervous!”
    - Probably Bad Measure: Assessing how often a third-party comments on someone’s nervousness.
    - Very Bad Measure: Measuring unrelated variables like rainfall in millimeters over 24 hours.

Instrument Definition: Tools used to measure operational definitions. Key qualities of effective instruments are:
  - Construct Validity: The instrument measures what it claims to measure.
  - Reliability: Similar measurements yielded across repeated uses.
  - Power/Sensitivity: Ability to detect minor differences in measurement outcomes.
Data Collection: Combination of definitions and instruments generates data as a set of measurements.

Examples of Measurement Tasks: Different methods used to measure psychological properties include:
  - Questionnaires: Self-reported tools to gather data.
  - Computer Tasks: Digitally driven measurements through tasks administered on computers.
  - Physiological Measures: Biological metrics collected to evaluate psychological states.

Question 2.1: Identify the scientific hypothesis among the options:
  - a) Rules of mathematical logic dictate that 2 + 2 = 4.
  - b) Invisible and unobservable faeries are responsible for gravity.
  - c) Students who highlight while reading tend to perform worse on tests than those who do not. checkmark
  - d) All of the above are examples of scientific hypotheses.
Question 2.2: A final exam that differentiates only between students passing versus failing exhibits very low:
  - a) Construct validity.
  - b) Power.
  - c) Reliability.
  - d) All of the above.

Upcoming Topic: Experimental Methods 3 will focus on data collection and analysis strategies.