U1-2. methods Flashcards
hidsight bias
tendency upon hearing about research findings to think that they knew it all along
applied research
type of research that’s conducted to solve practical problems
- has clear & practical applications
basic resarch
explores questions that are of interest to psychologists but not intended to have immediate, real-world applications
(e.g.) how ppl in different cultures define intelligence
hypothesis
- expresses relationship btwn two variables (=things that can vary among participants)
- experimental hypothesis: <dependent> depends on <independent></independent></dependent>
- to test hypothesis, researchers manipulate IV & measure DV
- often grown out of theories
- PROVING hypothesis is IMPOSSIBLE: research rather aims to gather data that [supports/disapproves] hypothesis
theory
- aims to explain some phenomenon
- allows researchers to generate testable hypothesis w/ hopes of collecting data to support the theory
operational definitions
- what researchers need to provide
- explains how you will measure it
- raises many issues about validity & reliability of research
validity
research is <valid> when it measures what the researcher set out to measure
-> when it is [accurate]</valid>
reliability
research is <reliable> when it can be replicated
-> [consistent]
- when researcher conducts same research in the same way & gets similar results</reliable>
participants
individuals on which research will be conducted
sampling
process by which participants are selected
- to select a [sample] (=group of participants), one must first identify the [population] (=includes anyone/anything that could possibly be selected to be in the sample) from which sample will be selected
- goal: to be [representative] of larger population
random selection
every member of population has equal chance of being selected
- increases likelihood that sample [represents] population & that one can [generalize] the findings to larger population
- best done by using a computer, table of numbers, or tried-and-true method of picking names out of a hat
sample size
- larger the sample, more likely it is to represent the population
-> downside: time & money - research w/ [large] sample size, but not prohibitively(터무니없게) large is <optimal></optimal>
- when asked in AP exam) <specify> sample size & avoid using extreme sample size</specify>
stratified (계층화된) sampling
process that ensures that sample represents population on [some criteria]
(e.g.) want to test difference of race -> each race should be represented in sample w/ <same> as overall population
-> first divide potential participants into groups based on race => pick random subsample of <desired> from each group</desired></same>
laboratory experiments
conducted in lab - highly controlled
field experiment
conducted out in the world - more realistic