EXAM 2 Flashcards
Scales of Measurement:
1) Nominal
2) Ordinal
3) Interval
4) Ratio
1) Nominal: No numerical or quantitative properties (left handed vs right handed)
2) Ordinal: Ranked (Low Medium High)
3) Interval (Difference between numbers on a scale are meaningful, temperatures, the spaces matter)
4) Ratio (“Twice as much” matters, unlike temeratures 60 deg is not really twice as hot as 30)
Research Ethics:
1) Critical incidents to develop ethics guidelines
2) Tuskagee and Willowbrook cases
3) Risk assesment, use of deception, IRB, informed consent, debriefing
1) Critical incidents to develop ethics guidelines: Belmont Report, Respect for Persons, Beneficence, and Justice
2) Tuskagee and Willowbrook cases: Tuskegee Syphilis Study
Willowbrook Hepatitis study
3) Risk assesment: Are the risks associated with the study worth the results later on?; use of deception: Lying to the participants in order to not reveal the actual purpose of the study; IRB: Institutional review board; informed consent: participants have to agree to participate in the study; debriefing: letting the participants know what was going in with the study, what was studied, and future references if needed
Population vs Sample
Population: All individuals of interest to the researcher
Sample: A selected group from that population(smaller)
Selection Bias
Selection differences or the sample not being chosen randomly (random assignment)
Probability Sampling methods
1) Simple random
2) Systemic Random
3) Stratified random
4) Cluster Sampling
1) Simple random: Assigned a number then chosen at random
2) Systemic Random: every nth number
3) Stratified random: Population is divided into different groups, then randomly sampled from each new group
4) Cluster Sampling: Probability sample “clusters” of individuals
Non Probability Sampling
1) Convenience
2) Quota
3) Snowball
1) Convenience: Haphazard sampling, obtaining participants in the easiest way possible
2) Quota: Sample from a numerical composition of various subgroups
3) Snowball: Asking participants to recruit more participants
Random selection vs random assignment
Random selection: Random sampling from a population for a study
Random assignment: Already in the study, randomly applied the conditions/IV
Pilot Study
Trial run, usually a small sample, to see how an experiment is going to go
Manipulation Checks
Whether the IV has the desired effect on the participant, usually in pilot studies
Ceiling and Floor effects
Ceiling effect: IV is too easy to do, so there is no desired effect
Floor: Opposite of ceiling, IV is too hard, so effect cannot be measured
Order effects
Order in which the IV are presented, especially in a repeated measures study
Counterbalancing vs Partial counterbalancing and limitations
Counterbalancing: All possible orders of presentation are included in the experiment
Main effects and interactions
Effects of the IV on the DV, interactions between two or more IVs
Identifying variables and their levels (IV, SV, DV)
IV
SV
DV
Describe factorial designs (2 x 2), # of conditions, between vs within subjects designs
Factorial Designs: Multiple IVs with different levels: 2 IVs with 3 levels would be 3x3, 3 IVs with 2 levels each would be 2x2x2
# of conditions: multiply all the IVs and their levels
Between design: Subject groups are compared with each other
Within design: Group comparisons are made within the same group