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Psychology and the scientific method

Psychology and the scientific method. Importance of scientific method Historical importance (last 1000 years) Importance for psychology (SCIENCE of behavior and subjective experience. Overview of Scientific method. Data gathering is critical. Gather evidence –data, data, data Critical step

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Psychology and the scientific method

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  1. Psychology and the scientific method • Importance of scientific method • Historical importance (last 1000 years) • Importance for psychology (SCIENCE of behavior and subjective experience

  2. Overview of Scientific method

  3. Data gathering is critical • Gather evidence –data, data, data • Critical step • What happens if evidence gathered incorrectly • Main data gathering methods • Descriptive vs. experimental • Major differences • Advantages and disadvantages

  4. Gathering data – descriptive research • First step, describe phenomenon • Importance of complete and accurate description • Operational definitions • Ways of gathering descriptive data • Naturalistic observations • Advantages • Disadvantages • Potential concerns • Observer reactivity

  5. Naturalistic observation of nonhumans

  6. Naturalistic observation of humans

  7. Example of naturalistic study • Rhesus monkeys have even ratio of males to females at birth • By adolescence many more females than males • Why do males die • Use naturalistic study to examine this

  8. Descriptive techniques (cont’d) • Case studies – Used often in Neuropsychology • Relatively rare in other areas • Advantages • HM and short term memory • Disadvantages • Potential concerns • Representativeness of the case • Interviews/surveys • Advantages • Disadvantages • Potential concerns • Biased samples

  9. Bias sampling in 1948 presidential election

  10. Correlational research • Examines relationship between two or more variables • Smoking and lung cancer • Are people who smoke more, more likely to get lung cancer? • Exercise and heart disease • Does increased exercise lead to reduced heart disease? • Still descriptive because we don’t manipulate anything • However, does allow for prediction

  11. Measures of correlation • Measures how strong relationship is between variables • Correlation coefficient (r) • Range • Between +1 and -1 • Direction • Positive indicates variables move in same direction • Negative indicates variables move in opposite direction • Strength • Closer to +1/-1 stronger relationship • 0 correlation means no relationship between variables

  12. Some common POSITIVE correlations One more SAT and GPA < 0.2

  13. Correlation and Causation • Correlation between two variables DOES NOT (again DOES NOT) mean that one variable CAUSED a change in the other • Correlation between height and weight DOES NOT mean that “tallness” causes heaviness • Negative correlation between smoking and lifespan DOES not mean that increased smoking causes lower lifespan.

  14. Correlation and Causation (cont’d) • Why correlation cannot be used to infer causation • Third variable problem • Correlation between number of churches in a city and number of murders in a city about +0.8 • Correlation between height and hair length about –0.8 • Why is this the tobacco industry’s favorite scientific principle? • Direction of correlation

  15. Selecting appropriate method • True “art” of the researcher • Separates good from best • Weigh relative advantages and disadvantages • What are you willing to live with • What are you not willing to sacrifice • Examples • What year of college are students most sexually active? • Hypotheses? • Methods • Direct observation?? • – NO! • Interview/survey • Advantages and disadvantages • Do we use?

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