Psychology: The Science

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Psychology: The Science How Psychologists Do Research Ex: While biking, it seems to me that drivers of pick up trucks aren t as nice as car drivers. I make a hypothesis or even develop a theory that p/u drivers are often male (less giving), more macho, anti-exercise. I go out and test this theory by forming a hypothesis that pick ups will come closer to a bike in a bike lane. And I observe and measure. Role of Theory and Hypotheses Theory is a grand explanation of observed facts. A theory isn t true or false. The measure of a theory is how well it explains the facts. A theory allows us many predictions or hypotheses. These can be tested in the real world and deemed true or false. Based on this testing, theories are supported or modified. 1999 Prentice Hall 1

From the text. Hypotheses/theories must be falsifiable Freud posited that the first structure of personality to develop is the id. The selfish part of us. How can we test to see if I have an id inside me? Freud said we have an unconscious that we don t have access to but there are traumatic memories there. How can we verify that? Psychology only asks SOME types of questions. Ex: Homosexuality is wrong. How do you test that? Types of Research: Case Studies A detailed description of a particular individual being studied or treated which may be used to formulate broader research hypotheses. More commonly used by clinicians; occasionally used by researchers. 1999 Prentice Hall 2

Methods of Research: Case Studies Advantages Enables intensive study of rare phenomenon May challenge the validity of theory Source of new ideas and hypotheses Disadvantages Poor method of determining cause-effect relations Generalizability questionable Researcher bias Many advances are discovered by accident Observational Studies Researchers carefully and systematically observe and record behavior without interfering with behavior. Naturalistic observation. Purpose is to observe how people or animals behave in their natural environment. Laboratory observation. Purpose is to observe people or animals in a more controlled setting. Methods of Description Research (cont): Survey Research Surveys are questionnaires and interviews that ask people about experiences, attitudes, or opinions. Population: All individuals that we are interested in drawing a conclusion about Important: Random sampling Representative sample: AccuratelyReflects important aspects of the population 1999 Prentice Hall 3

Methods of Research: Survey Research (cont) Major drawbacks to surveys: Unrepresentative samples can lead to faulty generalizations Surveys rely on participants self-reports Data cannot be used to draw conclusions about cause-and-effect Volunteer Bias Longitudinal vs Cross-Sectional I notice the old folks at my grandma s nursing home are so very frugal/stingy. I wonder: do people get stingy as we age? How to test? Cross-Sectional: get groups of 20, 40, and 60 year-olds and compare. I find the 60 year-olds ARE more stingy. OR Longitudinal: get a group of 20 year-olds and measure. Then follow them until they are 60 and measure again. Then compare same people at age 20 and age 60. I find much more stinginess at age 60. Which study is move believable? Beware cohort effects. A cohort effect is the particular impact of a group bonded by time or common life experience 1999 Prentice Hall 4

Cross Sectional: Longitudinal + Results are quick - results take time + Less expensive - costly to follow people - cohort effects + no cohort bias - attrition could be a problem Suppose I want to measure the prevalence of abstinence in drug rehab graduates. I start with 100 graduates and follow them for 5 years. But after 5 years I could only find 20 and 19 of them are abstinent. Programs claims 95% success rate. Is this conclusion a problem? Methods of Research: Correlational Research Measures associations between naturally occurring events or variables X monetary wealth Y happiness From a Focus on the Family Website Relationship between cohabitation and divorce The census reports a 72 percent increase in the number of cohabiting couples since 1990. Unfortunately, research shows that cohabitation is correlated with greater likelihood of unhappiness and domestic violence in the relationship. Cohabiting couples report lower levels of satisfaction. If a cohabiting couple ultimately marries, they tend to report lower levels of marital satisfaction and a higher propensity to divorce on in the relationship than married couples. Message is: Cohabitation leads to bad outcomes. Don t cohabitate. Get married. 1999 Prentice Hall 5

A B Cohab Divorce C Poverty, Commitment phobic Does Cohab lead directly to divorce? Could Poverty be a third variable that influences both A and B? Other Examples of Correlational Studies Beware of third variable problem If you postpone age of first drink, does that reduce risk of heavy adult drinking? A Age of First Drink C B Heavy Adult Drinking Impulsiveness, or Sensation Seeking Does age of first drink directly cause heavy adult drinking? Could the personality traits like impulsiveness or wanting a lot of stimulation and excitement (sensation seeking) cause both beginning drinking at a young age AND heavy adult drinking? 1999 Prentice Hall 6

A Breast Augmentation B Suicide C Low Self Esteem Body Image Dissatisfaction Does breast augmentation cause depression & suicide? Could low self esteem lead some women to both get breast augmentation AND then also cause depression? Methods of Research: Correlational Research Problems with correlational research Which causes which? Third variable problem Correlation does not demonstrate causation! Is There a Relationship Between These Variables? Foot Size Spelling Ability 9 12 3 2 5 7 7 10 2 3 10 12 4 6 8 4 1999 Prentice Hall 7

12 10 Scatterplot Foot Size 8 6 4 2 0 0 5 10 15 Spelling Ability Methods of Research: Correlational Research Positive Correlation: Negative Correlation Higher scores on one variable are associated with higher scores on the other variable Range from +.01 to +1.00 Higher scores on one variable are associated with lower scores on a second variable Range from -.01 to - 1.00 1999 Prentice Hall 8

Correlation does NOT prove causation 1999 Prentice Hall 9

Illusory Correlation You believe there is a correlation when there isn t one. Empirical part of Psychology helps us answer questions! And we want to find causal relationships 1. Does violent video games make you aggressive? 2. Does smoking lead to lung cancer? i.e. Does A affect (influence/change) B? Best Way to Demonstrate Causal Relationships is Through the Experimental Method. Logic of the Experimental Method 1. Start with 2 groups, equal on all relevant variables 2. Do something to make them different. 3. Measure them 4. If they are different, we conclude that it must be a result of what we did. Define: a Confound, operational definition. 1999 Prentice Hall 10

I hypothesize the room brightness has a causal effect on typing speed. Make 2 groups: Left side of class types in bright room. Other side types in dim room. Problem? Where was random assignment to groups? Can t let subjects self-select themselves to groups Left side Bright light Quiet Cool 2:00 PM Right Side Low light Noisy Hot 8:00 AM Problems? Random Assignment For experiments to have experimental and control groups composed of similar subjects, random assignment should be used. Each individual participating in the study has the same probability as any other of being assigned to a given group. If we don t randomly assign subjects to groups, the groups may not be equal at the start. 1999 Prentice Hall 11

Methods of Research: Experimentation An experiment has three essential characteristics: The researcher manipulates one variable The researcher measures whether this variable produces changes in another variable The researcher attempts to control for other factors that might influence the results Methods of Research: Experimentation Independent variables Dependent variables Manipulated by the experimenter Measured by the experimenter and influenced by the independent variable 1999 Prentice Hall 12

What s a Control Group? In an experiment, a comparison condition in which subjects are not exposed to the same treatment as in the experimental condition. In some experiments, the control group is given a placebo which is an inactive substance or fake treatment. Single and Double Blind I test whether rewards for hard word, lead the 2:00 pm shift to work harder than the 8:00 am shift. I tell the 2:00 shift they can earn extra money. I tell the 8:00 shift they are the control group. Are subjects blind to condition? A problem? I test a new drug for depression. Group A gets the real drug and knows it and Group B knows they are getting a sugar pill. Are the groups equal except for drug? Further suppose the researcher also knows who is in which group and his job is to measure depression by judging from talking to subjects how depressed they are. Problem? Using Statistics to help us judge if group differences are real Assume group 1 (bright lite) types 39.4 wpm and group 2 (dim light) types 37.5 wpm. If I had good control, can I conclude lighting has a causal effect on typing speed? What if there is actually no effect of light on typing speed, could these differences have occurred? i.e. could this difference have occurred by chance? Statistics give us the probability that the difference we see could be due to chance. If that probability is less than 5%, we agree to believe it is real. 1999 Prentice Hall 13

More Considerations When we measure constructs, like depression, the measuring instrument needs: Reliability aka consistency. Inter-rater: maybe I have 10 judges rate depression level by watching videotape of subjects. This reliability is high if all tend to agree on what they see. Test-retest: Maybe I use a questionnaire. The scores from the questionnaire given to people at time 1 should be similar to the scores given to people 2 weeks later. Suppose my depression questionnaire isn t really measuring depression but sadness instead. It lacks validity. Let s do reaction time study: Let s do a second study. I think that Chocolate enhances memory. 41 1999 Prentice Hall 14

Descriptive Methods in Research Methods that yield descriptions of behavior but not necessarily causal explanations. Include: Case studies. Observational studies. Naturalistic Laboratory Surveys. 43 44 1999 Prentice Hall 15