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UBC PSYC 217 Final EXAM (2025) QUESTIONS AND (elaborated) WITH COMPLETE SOLUTIONS

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UBC PSYC 217 Final EXAM (2025) QUESTIONS AND (elaborated) WITH COMPLETE SOLUTIONS

Institution
UBC PSYC 217
Course
UBC PSYC 217

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27/06/2025, 12:33 UBC PSYC 217 Final EXAM (2025) QUESTIONS AND (elaborated) WITH COMPLETE SOLUTIONS Flashcards | Quizlet




UBC PSYC 217 Final EXAM (2025) QUESTIONS
AND (elaborated) WITH COMPLETE SOLUTIONS

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Terms in this set (238)


Another word for mortality
Attrition
- People dropping out of studies

Potential participants should be provided with all the
Informed Consent information that might influence their decision to
participate

In what types of research Personality, health, and longitudinal developmental
is multiple regression research
common

Regression Equation y = bX + a

Uses scores on one variable (the predictor) to predict
Multiple Regression
changes in another variable (the criterion)

The amount of shared variance
Squared correlation
- The % of variance in one variable accounted for by
coefficient [r^2]
the second variable

r value indicates a 0.30
[Medium]
effect/covariation

r value indicates a [large] >0.40
effect/covariation



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,27/06/2025, 12:33 UBC PSYC 217 Final EXAM (2025) QUESTIONS AND (elaborated) WITH COMPLETE SOLUTIONS Flashcards | Quizlet


r value indicates a [small] 0.10 - 0.20
effect/variation

Each pair of scores from a correlation is plotted as a
Scatterplot
single point on a graph

Cohen's d = 1 The means are separated by 1 standard deviation

Describes the magnitude of the effect of the IV on the
Cohen's d
DV

% of scores fall within 3 99.7%
SD

% of scores fall within 2 95%
SD

% of scores fall within 1 SD 68%

Variability The spread in a distribution of scores

Mean as most useful It maximises the use of all data
measure of central - Can use in statistical analysis
tendency

Value of central tendency Mode
to use when you have
[nominal or ordinal
variables]

Value of central tendency Median
to use when [outliers]

Structural equation SEM examines models that specify a set of
modelling relationships among many variables

No
Yes/No is IV x PV true
- Participant variables are not randomly assigned or
experimental design
controlled

Statistical analysis to Multiple Regression
assess the unique
contribution of each
variable in a correlation

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Is the measure not related to what it shouldn't relate
to?

Discriminant validity
- The measure should be able to discriminate
between the construct being measured and other
unrelated constructs

Assesses how well a certain set of items relate to one
another
Internal consistency
reliability - Is a participants score on this construct similar
across items that are aimed to measure related
aspects of the construct

Quality that single case Generalizability
experiments lack

Setting that true In applied settings
experiments generally
harder to perform

What the person is like when he/she is aware of being
Reactive measure show
observed

Type(s) if scale(s) allow Internal and ratio
you to make quantitative
distinctions?

What an animal care 1 scientist with experience in animal use
committed is composed 1 institutional member who does not use animals
of 1 experienced vet and a community member

Multiple baseline: Across Same behaviour is measured in different settings
situations

Multiple baseline: Across Several different behaviours of a participant are
Behaviours measured over time

Multiple baseline: Across The behaviour of several participants is measured
participants over time




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