1. A look at psychological research

2. General principles The specious attraction of anecdotes The concern for precise measurement Operational definitions – definitions which specify the procedure used to measure something Also, a way to give a study’s focus of concern a numerical value How do you measure anger, love, intelligence?

3. Population samples Population – the entire group of individuals of interest Sample – a small group chosen from the popu- lation

4. Types of samples Convenience – a sample chosen because of its availability Far from ideal, but very common “The study of 20 year old college sophomores.” ? Representative – a sample which closely mirrors the population in all characteristics likely to affect the results Ideal but hard to find

5. Samples cont. Random samples – a sample in which every individual in the population has an equal chance of being selected. Hard to get, but many benefits Cross-cultural samples – samples which include groups from at least two separate cultures Discuss concerns in Interpretations

6. Research designs Naturalistic observations A careful examination of an individual’s or animal’s behavior in more or less natural conditions No manipulation, just observation Often the first step in generating hypothesis’

7. Case histories A thorough description of a person or small group of people with unusual or noteworthy qualities Another source of hypothesis’ Just a super-sized anecdote?

8. surveys A study of the prevalence of certain beliefs, behaviors, or attitudes based upon people’s responses to specific questions Many problems: sampling nonchalance the questions bias

9. correlations A measure of the relationship between two variables Variable – a measurable item that can vary in magnitude Correlational study – a procedure in which the investigator measures the relationship between two variables without controlling either one

10. Correlations examples Between class attendance and final grade Between hours worked and $ earned Between smiles given and smiles received Between miles run/week and 5k time Between hours on internet and final grade Between exercise sessions and weight Between hair color and grade point average

11. Correlations graphic examples

12. The correlation coefficient R = the mathematical relationship between two variables, ranging from -1 to 1 Positive correlations approach 1 Negative correlations approach -1 A R of 0 means that there is no relationship between the two variables Look to R ’s absolute value when assessing its strength

13. Illusory correlations An apparent relationship based upon casual observations of unrelated or weakly related events Do people really get wild under a full moon? Does the weather affect arthritis symptoms?

14. Correlations and causation No matter how it might seem, correlations do not tell us about cause and effect We never really know if changes in one variable affects the other, or If a third, lurking, variable controls them both. Correlations help us predict but not explain or control behavior or experience.

15. experiments

16. A study in which the investigator manipulates at least one variable while measuring at least one other variable By adjusting one variable or factor, while keeping all other factors constant, we can determine if that factor causes changes in the other(s)

17. More definitions: variables Independent variable – the variable which is manipulated, or adjusted, by the investigator Dependent variable – the variable which is measured by the investigator to determine the effects of the independent variable Thoughtfully quantified through the operational definition

18. Even more: groups Experimental group – receives the treatment (independent variable) that the experiment was designed to test Control group – handled exactly the same as the experimental group except for the independent variable Control groups usually receive a placebo

19. Hazards to be prepared for Biased groups to make sure that the experimental and control groups are as similar as possible, before being introduced to the independent variable we use random assignment every participant must have an equal chance of being placed in either the experimental or the control group

20. more hazards Even unconsciously, investigators want to see their hypothesis confirmed and unintentionally might distort the results Also, the experiment’s participants might try to help prove the hypothesis Solution – Double blind – a procedure in which both the observer and the participant are unaware of which participants received which treatment and the experiment’s goals

21. review Hypothesis Select Method & Operational Definition Acquire Sample Random Assignment of groups Run experiment (double blind) Collect and analyze results (data)