UBC PSYC 217 Final Exam Questions With Solutions
Attrition Another word for mortality
- People dropping out of studies
Informed Consent Potential participants should be provided with all the information that
might influence their decision to participate
In what types of research is multiple ...
Informed Consent Potential participants should be provided with all the information that
might influence their decision to participate
In what types of research is multiple regression common Personality, health, and
longitudinal developmental research
Regression Equation y = bX + a
Multiple Regression Uses scores on one variable (the predictor) to predict changes in
another variable (the criterion)
Squared correlation coefficient [r^2] The amount of shared variance
- The % of variance in one variable accounted for by the second variable
, UBC PSYC 217 Final Exam Questions With Solutions
r value indicates a [Medium] effect/covariation 0.30
r value indicates a [large] effect/covariation >0.40
r value indicates a [small] effect/variation 0.10 - 0.20
Scatterplot Each pair of scores from a correlation is plotted as a single point on a graph
Cohen's d = 1 The means are separated by 1 standard deviation
Cohen's d Describes the magnitude of the effect of the IV on the DV
% of scores fall within 3 SD 99.7%
% of scores fall within 2 SD 95%
, UBC PSYC 217 Final Exam Questions With Solutions
% of scores fall within 1 SD 68%
Variability The spread in a distribution of scores
Mean as most useful measure of central tendency It maximises the use of all data
- Can use in statistical analysis
Value of central tendency to use when you have [nominal or ordinal variables] Mode
Value of central tendency to use when [outliers] Median
Structural equation modelling SEM examines models that specify a set of relationships
among many variables
Yes/No is IV x PV true experimental design No
- Participant variables are not randomly assigned or controlled
, UBC PSYC 217 Final Exam Questions With Solutions
Statistical analysis to assess the unique contribution of each variable in a correlation
Multiple Regression
Discriminant validity Is the measure not related to what it shouldn't relate to?
- The measure should be able to discriminate between the construct being measured and other
unrelated constructs
Internal consistency reliability Assesses how well a certain set of items relate to one
another
- Is a participants score on this construct similar across items that are aimed to measure related
aspects of the construct
Quality that single case experiments lack Generalizability
Setting that true experiments generally harder to perform In applied settings
Reactive measure show What the person is like when he/she is aware of being observed
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