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Quiz 2: Research Met

Ch. 4

TermDefinition
development of specific definitions for relevant factors related to the topic of interest. Define: Operationalization
Operationalization turns ____ concepts into ______ descriptions, which can be measured. vague/ ambiguous, detailed
Operational definitions lead to the development of _________ variables
Define: Variables Variables should be ____-_______ & feasible to ____ or ______ defined as anything that can vary or has different values -> well-defined -feasible to observe or measure
Goes from _____ -> Operationalization -> ________ Give an example: for a concept of walking Concept, -, Variables Walking -> walking for activity -> steps per day
Variables can have different qualities called _______ attributes
Lowest number of attributes a variable can have an still be a variable is __. two
influences the way which the independent variable affects dependent variable Meditating variable
influences the strength of direction of the IV-DV relationship and contextualizes effect between the IV and DV Moderating variable
Difference between meditating and moderating variable -Does the idependent variable cause the variable (meditating or moderating) If the answer is no: it is moderating, if the answer is yes: it is mediating
Controlled vs. constant -controlled variable researcher controls -constant has no variation
Differences in correlation -positive -negative -curvilinear -pos: IV and DV increase or decrease in the same direction as IV -neg: variables change in opposite direction -curvilinear: relationship variables transforms at certain variable levels -> to make u shape
outlines the theoretical or logical relationships among variables, and the progression from the IV to the DV Conceptual framework:
When developing a conceptual framework start with the ___ point and work __________ -end -backwards
Next step after you develop a conceptual framework identify potential correlates of the outcome of interest -ID casual relationships
Define alternative hypothesis says there are differences in attributes
What do you call.. -variables with 2 attributes -variables with multiple attributes -dichotomous or binary -polychotomous
4 basic levels of measurement nominal: ordinal: interval: ratio: explain them nominal: named/ categorizied by some characteristic (omnivore, vegan, pesca) ordinal: ordered (satisifed, unsatisified, very unsat) interval: order AND equal interval -> NO TRUE ZERO ex: fahrenheit ratio: order, equal intervals, true zero (income)
imprecise measure due to the way data were collected or factors related to those who provided the data systematic error
people tend to answer questions in a way they think is socially desirable Social desirability
social desirability may lead to agreeing or disagreeing with all statements in order to provide what one think to be favorable responses Acquiescent response set bias
-the degree of consistency something has -the more ____ the measure is, the less likely it is to be impacted by random error -reliability -reliable
the measure of stability over time -test-retest reliability
the degree of agreement or consistency among multiple observers -inter-rater reliability
-extent to which a measure is a true reflection or real meaning of the concept it is tended to measure -validity
-subjective judgment of whether a measure is a reasonable way to measure some concept or if a logical relationship between the variable and the proposed measure exists face validity
-is the degree to which a measure covers an entire concept. vs. -how accurate a test measures the outcome it was designed to measure -content validity vs. -criterio validity
occurs when scores on one measure can predict the scores on a similar measure. -define predictive validity
-is a type of criterion validity that exists when scores on one measure are closely related to scores on another measure ex: stress and coping skills measures -concurrent validity
 

 



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