Chapter 2 Research Flashcards
(35 cards)
propose theory, then test it and see if data supports it
theory data cycle
set of propositions about what people do and why, hypothetical explanation of natural phenomena
theory
observations from study, usually numerical
data
when a study is carried out multiple times to see if similar results
replication
group studied in research
sample
method of choosing participants without bias
random sampling
observes subjects in ordinary environment
naturalistic observation
method that simply assesses variables
descriptive
method that looks at relationships of variables
correlational
method for finding causes and their effects
experimental
assesses how well variables were operationalized
construct validity
measures consistency in results of an experiment
reliability
how well a sample study results represent the population of interest
external validity
study’s ability to rule out alternate explanations for a relationship between variables
internal validity
alternative explanation for a relationship between two variables that occurs when two different groups have another difference besides independent variable
confound
participant responses, describes scores
descriptive statistics
measures magnitude of relationship between manipulated and measured variables
effect size
dispersion of data relative to mean value
standard deviation
degree to which data is scattered
variability
use sample studies to make inferences about general population
inferential statistics
process to evaluate whether results are accurate to the general population
statistical significance
assumption of no relationship between variables
null hypothesis
finding considered statistically significant that doesn’t reflect an actual effect
false positive
sharing experiments, data, results etc. for collaboration, etc.
open science