UBC PSYC 217
UBC PSYC 217 Final EXAM (2025)
QUESTIONS AND ANSWERS
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 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
r value indicates a [Medium] effect/covariation - 0.30
r value indicates a [large] effect/covariation - >0.40
UBC PSYC 217
,UBC PSYC 217
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%
% 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
UBC PSYC 217
, UBC PSYC 217
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
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
UBC PSYC 217
UBC PSYC 217 Final EXAM (2025)
QUESTIONS AND ANSWERS
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 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
r value indicates a [Medium] effect/covariation - 0.30
r value indicates a [large] effect/covariation - >0.40
UBC PSYC 217
,UBC PSYC 217
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%
% 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
UBC PSYC 217
, UBC PSYC 217
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
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
UBC PSYC 217
