REASERCH Flashcards
characteristics of a goof theory
falsifiable
parsimonious - simple and explains the complex
research question
classifies your study-able answer
hypothesis
why do you expect to find
theories (), hypothesis () research ()
explain
predict
tests
deductive reasoning
Theory testing: allows us to collect evidence that may show a theory to be a good/bad explanation for the way people behave
Theory → observation (general premise to specific cases)
Theory driven
inductive reasoning
Theory building: allows researchers to suggest explanation ofr the way people behave
Observation → theory (specific → general observation)
Data driven
types measurement
categorical and continuous
levels of measurement
nomial, ordinal, interval, ratio
levels of measurement
nominal, ordinal, ratio, interval
nominal
Data may only be classified
Jersey # of football players
Make of car
ordinal
Data are ranked
Your rank in class
Team standing in the pac-10
interval
Meaningful difference between values
Temp
Dress size
ratio
Meaningful 0 point and ratio between values
Number of patitents seen
Number of sales calls amde
Distance to class
correlational design
cross-sectional or longitudinal
cross-sectional
meaning that data is collected in a single point in time
Longitudinal
data is collected repeatedly over an extended period of time
types of experiments
true experiments, field experiments, quasi experiments, natural experiments
true experiments
Participants are randomly assigned to the conditions to control for extraneous variables. True experiments are excellent for showing a cause-and-effect relationship
field experiments
Experimental investigation carried out in a natural environment- the deliberate manipulation of IV
quasi expeiments
A change is implemented, but participants are not randomly assigned to conditions
natural experiments
The researcher makes use of naturally occurring differences in IV- the IV is not directly manipulated
between group designs
Compare different participants in different conditions
within group designs
Compare same participants in both conditions
validity
Are you measuring what you hope you are measuring
Accuracy
The ability of a test to measure what is designed to measure, or the degree to which a test accurately measures what it’s supposed to measure
reliability
Is your measure consistent
consistency/stability
A test can be reliable and still be wrong
