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Independent Variable
Determines another variable
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Dependent Variable
Caused by another variable
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Idiographic explanation
look at every element
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Nomothetic
generalize by looking at a few
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Inductive
Bottom - up method that starts with data and moves to a theory. Identifies patterns.
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Deductive
top down - start with a theory and get data
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Paradigm
a model or frame of reference through which to observe and understand
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thoery
something that explains observations, variables
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hypothesis
testable expectation about empirical reality that follows from a more general proposition
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concept
abstract terms representing common characteristics i.e. user satisfaction
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Belmont Report
Syphilis study that framed ethical principles such as respect for perseons, beneficence and justice
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IRB
Institutional Review Board ensures that ethical guildelines are followed - three levels - exempt, expediated and full-review
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Anonymity
data is not attached to a real person
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confidentiality
Data and person are attached but promise not to release data
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Exploration
Don't know much about subject, preliminary research
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Description
data (census)
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Explanation
look at causes, relationship among variables
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Unit of analysis
the what or whom being studied - groups, individuals, dept, organization, social artifact
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ecological fallacy
Erroneously drawing conclusions about individuals solely from the observations of groups
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Trend Studies
a given characteristic of some population is monitored over time
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Cohort study
A study in which some pecific subpopulation or cohort is studied over time, data may be collected from different members in each set of observations
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Panel studies
A type of lingitudinal study in which data are collected from the same set of people at several points in time.
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Causation
One thing directly influences another. A causes B.
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Correlation
Don't know which one is first but they are related
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Spurious relationship
coincidental relationship - ex. shoe size determines math ability
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Conceptualization
take an abstract idea and get a precise definition ( romantic love)
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Operationalization
How to measure concept (i.e. surveys)
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Dimensions
aspects of the concepts
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Indicator
an observation that we choose to consider as a reflection of a variable we wish to study
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Nominal measurement
named measurement - i.e. gender
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Ordinal
ranked scale no definite measure between intervals
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interval measurement
interval is same between (i.e. temperature)
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Ratio measurement
absolute zero (i.e. age)
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Reliability
Same result over and over - consistent (empirical)
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Validity
Theoretical measure true meaning
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Random Error
noise (variability) human error related inversely to reliability
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Non random error
systemic error
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Face validity
Judging whether it appears to be measuring concept
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content vailidity
degree to which a measure covers the range of meanings included within a conept
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Predictive validity
measure verifiable by future criteria
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Convergent validity
two different measures have comparable data
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Discriminant validity
Related to each other but is a different concept (like, love)
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Test retest reliability
same test to same group same results
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Parallel forms reliability
Same test at the same time to two different groups
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Intercoder reliability
two observers at the same time
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Internal consistency
test of whether different indicators of same concept give same result
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Indexes
Each itme treated equally
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Indexes - internal validation
type of composite measure that summarizes and rank orders several specific observations and represents some more general dimension
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Scales - more valid
composite measure composed of several items that have a logical or empirical structure - likert
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