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chapter 2 question answers

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Question
Answer
Theory   gathers a lot of data and makes a statement on how the world works  
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Hypothesis   what you think is going to happen when you test a theory  
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Falsifiable theory   can be proven wrong,  
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Confirmation bias   people really want to prove their theories  
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Case study   get a lot of info about one case, Freud famously used these, used when weird, horrible things happen  
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Advantages to case study   rich in info, only way to study weird problems  
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Disadvantages to case study   generalizability, can’t prove theories this way, can falsify  
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Observation   watching what’s going on  
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Naturalistic observation   observing people in natural habitat, less reactivity, no control, more ecological validity  
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Laboratory observation   bring people into lab, more control, more reactivity, less ecological validity  
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Ecological validity   when things are more like actual env’t  
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Reliability   consistency  
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test-retest reliability   giving a test multiple times  
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Inter-rater reliability   a different person grades and scores tests  
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Alternate forms reliability   giving different versions of the test  
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Validity   is it really measuring what we want it to  
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Content validity   is it measuring the correct thing  
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Criterion validity   there is outside criteria that the test predicts  
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Advantages to surveys   covers large population, easy, cheap  
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Disadvantages to surveys   people lie on survey, volunteer bias  
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Representative sample   it has many different types of people  
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Correlation   statistic that tells about a relationship between variables  
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Positive correlation   as one variable increases the other variable increases  
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Negative correlation   as one variable increases the other variable decreases  
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Strong correlation   how close together the numbers are  
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Always remember   Correlations do not imply causation  
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Experiment   manipulates variables, can find causation  
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Independent variable   variable being manipulated  
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Dependent variable   variable measured  
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Random assignment   random grouping  
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Confound   another variable that gets in way of experiment variable with another explanation  
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Quasi-experiment   experiment without random assignment, ex. Race, gender  
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Placebo effect   someone tells you that you will have an effect, so you have that effect  
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Single blind   patient doesn’t know what they’re getting  
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Double blind   patients and experimenters don’t know what they’re getting  
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Control condition   participants not exposed to same treatment as in experimental condition  
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Experimenter effects   unintended changes in study participants behavior due to cues inadvertently given by experimenter  
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Concerns with cross-cultural research   language translation, stereotypes  
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Problem with average   the exact numbers could be really close together or really far apart  
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Standard deviation   ho clustered or spread out individual scores are around mean  
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Statistically significant   high probability that the difference between control and experiment is real  
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Cross-sectional study   study where people of different ages are compared at a given time  
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Longitudinal study   same group of people at different times  
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Informed consent   participants enter a study voluntarily  
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Reactivity   when individuals alter behavior due to awareness of being observed  
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