Research Methods Flashcards
(112 cards)
Alternative Hypothesis
Predicts a relationship between the IV and the DV
(there will be a difference…)
Null hypothesis
Predicts no correlation or difference between the IV and the DV. Any relationship will be due to chance alone.
One-tailed Hypothesis
Directional
Two-tailed Hypothesis
Non-directional
Laboratory Experiment
An experiment conducted in a researcher-controlled environment
Field Experiment
An experiment conducted in a participants natural environment
What are the three experimental designs?
independent groups
repeated measures
matched pairs
natural experiment
an experiment that investigates a naturally-occurring IV
Pros of lab experiments
can determine causality
can control extraneous variables
cons of lab experiments
low ecological validity
demand characteristics
pros of field experiments
high ecological validity
no demand characteristics
cons of field experiments
ethical issues (consent)
can’t determine causality
can’t control extraneous variables
pros of independent groups
no order effects
less demand characteristics
cons of independent groups
individual differences (participant variables)
more ppts to recruit (compared to repeated measures)
pros of repeated measures
no individual differences
less ppts to recruit (than matched pairs and independent groups)
cons of repeated measures
order effects
demand characteristics
pros of matched pairs
no individual differences
no order effects
less demand characteristics
cons of matched pairs
more ppts to recruit (than repeated measures)
time consuming —> ppt retention
what is nominal measurement?
- the number of ppts falling into various categories (eg. big-small, man-woman)
- ppts can only belong to one category at a time (can move from one to the other)
what is ordinal measurement?
- can be numbers or words
- can be placed in rank order (hot, hotter, hottest)
- data has unequal intervals (may be based on personal interpretation)
- categories are subjective
what is interval measurement?
- scores are on a linear scale (like ordinal, rank order)
- data has equal intervals (can only be numbers)
- categories are objective
what is ratio measurement?
- has equal intervals
- has real zero (scale starts at zero, although may not be possible to score)
- examples: height, cm, kg, bpm
what is a type one error?
- the level of significance is too lenient
- a true null hypothesis is rejected
what is a type two error?
- the level of significance is too stringent
- false null hypothesis is accepted