Name: Score:
90 Multiple choice questions
Definition 1 of 90
when our experience conflicts with what everyone else knows, though there is a good chance we
will surrender our experience in favor of the agreement
example: the first time you stepped on a thorn you knew it hurt before anyone told you
nomothetic explanation
conceptualization
trend study (type of longitudinal study)
Direct experience and observation
Term 2 of 90
reliability
statistical content; lab or filed experiments
logical grouping of attributes that describes the entities being studied
ex: age, race. country, gender
a third variable that causes X and Y
getting consistent results from the same measure
,Term 3 of 90
internal validation
examining its relationship to other presumed indicators of the same variable
making far reaching assumptions based off of few scattered data points that lead to broad
inferences on a grand scale
self evident meaning they can be proven logically and are always true (broader statements
than hypothesis)
an assessment of whether each of the items included in a composite measure makes an
independent contribution or merely duplicates the contribution of other items in the
measure
Definition 4 of 90
Indicate that they do not meet the scientific standards of experimental designs, and sometimes
they may be used because conditions for full fledged experiments are impossible to meet.
One shot case study: The researcher measures a single group of subjects on a DV following the
administration of some experimental stimulus.
One group pretest/post test design: the possibility that some factor other than the independent
variable might cause a change between the pretest and post test results
Confidence interval
Pre experimental" Designs
Non probability sampling
Equal Probability of Selection Method (EPSM):
,Definition 5 of 90
(Prof. Haveman sometimes calls this the "sample population". Be careful to distinguish this from
the final "sample"!): That aggregation of elements from which a sample is actually selected
Study population
Simple random
conceptualization
internal validation
Definition 6 of 90
General term for samples selected that typically involve some type of random selection
mechanism
To provide useful descriptions of the total population, a sample of individuals from a population
must contain essentially the same variations that exist in the population
Cons:
Bias- Those selected are not typical nor representative of the larger population they have been
chosen from. Even if 'balanced', it still may not be representative of pop.
Ex: Interviewing 100 University students
Different students visit library with different frequencies sample may over represent students who
visit library more often than others do.
probability sampling
Purposive/Judgmental
Sampling frame
Convenience(haphazard)
, Definition 7 of 90
half the width of a confidence interval
moderator
predictive validity
Margin of error
quantitative analysis
Term 8 of 90
description
half the width of a confidence interval
Why? give an explanation about the discovery of the phenomenon
just the facts; the precise measurement
a third variable that causes X and Y
Term 9 of 90
spurious
getting consistent results from the same measure
correlation
causal direction
non spurious
a third variable that causes X and Y
half the width of a confidence interval
90 Multiple choice questions
Definition 1 of 90
when our experience conflicts with what everyone else knows, though there is a good chance we
will surrender our experience in favor of the agreement
example: the first time you stepped on a thorn you knew it hurt before anyone told you
nomothetic explanation
conceptualization
trend study (type of longitudinal study)
Direct experience and observation
Term 2 of 90
reliability
statistical content; lab or filed experiments
logical grouping of attributes that describes the entities being studied
ex: age, race. country, gender
a third variable that causes X and Y
getting consistent results from the same measure
,Term 3 of 90
internal validation
examining its relationship to other presumed indicators of the same variable
making far reaching assumptions based off of few scattered data points that lead to broad
inferences on a grand scale
self evident meaning they can be proven logically and are always true (broader statements
than hypothesis)
an assessment of whether each of the items included in a composite measure makes an
independent contribution or merely duplicates the contribution of other items in the
measure
Definition 4 of 90
Indicate that they do not meet the scientific standards of experimental designs, and sometimes
they may be used because conditions for full fledged experiments are impossible to meet.
One shot case study: The researcher measures a single group of subjects on a DV following the
administration of some experimental stimulus.
One group pretest/post test design: the possibility that some factor other than the independent
variable might cause a change between the pretest and post test results
Confidence interval
Pre experimental" Designs
Non probability sampling
Equal Probability of Selection Method (EPSM):
,Definition 5 of 90
(Prof. Haveman sometimes calls this the "sample population". Be careful to distinguish this from
the final "sample"!): That aggregation of elements from which a sample is actually selected
Study population
Simple random
conceptualization
internal validation
Definition 6 of 90
General term for samples selected that typically involve some type of random selection
mechanism
To provide useful descriptions of the total population, a sample of individuals from a population
must contain essentially the same variations that exist in the population
Cons:
Bias- Those selected are not typical nor representative of the larger population they have been
chosen from. Even if 'balanced', it still may not be representative of pop.
Ex: Interviewing 100 University students
Different students visit library with different frequencies sample may over represent students who
visit library more often than others do.
probability sampling
Purposive/Judgmental
Sampling frame
Convenience(haphazard)
, Definition 7 of 90
half the width of a confidence interval
moderator
predictive validity
Margin of error
quantitative analysis
Term 8 of 90
description
half the width of a confidence interval
Why? give an explanation about the discovery of the phenomenon
just the facts; the precise measurement
a third variable that causes X and Y
Term 9 of 90
spurious
getting consistent results from the same measure
correlation
causal direction
non spurious
a third variable that causes X and Y
half the width of a confidence interval
