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ITP chap 2

zITP chap 2

TermDefinition
experiment only way to make cause and effect statements
hypotheses educated guess -- must be mutually exclusive and exhaustive
mutually exclusive two or more situations cannot happen at the same time -one thing prevents the other from becoming true
exhaustive set of outcomes that
null hypothesis there is no relationship at all between two or more variables. -typically aimed to reject the this hypothesis when trying to find a relationship between two variables
alternative hypothesis same as question -- is there change (inc., dec., no change) -no longer as it was
one tailed hypothesis used when we are pretty sure of the direction we are expecting. -specifies the direction an effect will have -increased outside temp. will lead to increased icecream consumption
two tailed hypothesis used when we are not entirely sure what direction an effect might be going -does not specify the direction an effect will have -outside temp. will be relateted to ice cream consumption
independent variable variable being changed/manipulated
dependent variable variable being measured (doesn't change)
extraneous anything systematically varied other than the independent variable
confounding means messed up experiment
mean take 5 numbers, add them, divide by 5. (pulled by extreme scores)
median Galton (eugenics) the 50th percentile, middle number was invented because mean can be changed too easily
mode most commonly occuring number
skewed tail of a curve is longer on one side than the other side left- negative right- positive
hypothetical construct an idea or concept (something not concrete) -strength of a group
operational definition making an idea measurable (hypothetical construct) -ways to measure strength of a group
correlation looking for relationships between variables
single blind subject doesn't know if theyre in control or experimental group -prevents placebo/expectation effect
double blind experimenter or subject doesn't know if subjects are in the experimental or control group -prevents experimenter bias
experimenter bias experimenter brings in subjective influence and affects results, data, or participants in an experiment
population (N=#) a group with at least 1 common characteristic -group of NP students (common characteristic is we are students at NP)
sample part of the population -sample of 7/8 ppl would be N-1 N being population size
random assignment splitting the control and experimental group with no reason, prevents bringing in bias
matching opposite of random assignment -subjects are assigned to a group based on characteristics (that could affect dependent variable)
placebo effect
expectation effect -person predicts/assumes something to occur in experiment- creates bias corrected by using placebo
hawthorne effect we behave differently when we know we are being observed -subjects may change their behavior as a result of the attention they are receiving from researchers rather than because of any manipulation of independent variables
validity the extent to which a research technique actually measures the behavior it claims to measure -looks for correlations -high correlations, high validity
reliability same results are consistently yeilded if reliable. -looks for consistency -people give similar/close results each time being tested
IRB
informed consent participants have the right to know what they are letting themselved in for -are told purpose, procedures, risks, length of time of research
confidentiality information is guarded so it can't be used in a way that would be detrimental to participant
voluntary participation participants should be free to withdraw from study at any time
measures of central tendency mean, median, mode
variable a factor that can be changed and manipulated in ways that are observable and measurable.
extraneous variables unexpected factors that might influence the outcomes of an experiment
control group not subject to manipulation in an experiment -allows for extraneous factors to be controlled for
experimental group receives treatment/manipulation and is used to make comparisons to the group not receiving manipulation
statistical significance when a result at least as "extreme" would be very infrequent if the null hypothesis were true.
positive correlation amount of one variable increases AND the other one does too
negative correlation one variable increases BUT the other one decreases
non-existent correlation no relationship between two variables
Ontogeny recaptivates phylogeny Ernst Haeckel’s (untrue) idea that through development we trace evolutionary steps
Macchiavelli “The ends justify the means” Famous for being ruthless
British impericism School of philosphy that predecessors behavioralism
Cardinal trait A trait that dominates and shapes a persons behaviors
Lamark An organism can pass on its physical characteristic to its offspring
reliability= =consistency
validity= =correlation
Created by: liz gelles
 

 



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