CHAPTER 5 Flashcards
What are two important features of concepts?
The are non-empirical
- don’t have qualities like tate, sound, smell, touch
They’re meaningful
- meaning is what gives concepts life
What is conceptualization? - what is a problem with it?
What is operationalization?
conceptualization = The refinement and specification of abstract concepts (ex. 5 different pens in front of you but you name them all “pens”)
–> problem with conceptualization is that you don’t know if a concept has the same meaning to you and others
operationalization = The development of specific research procedures (operations) that will result in empirical observations representing those concepts
What is a conceptual definition?
What is the other name for it
What’s an example
Indicates the meaning of an abstract term by expressing it in other abstract terms
- also called nominal definitions or non-numerical attributes / categories
- operate entirely on the abstract level
- useful conceptual definitions informs us with both what is included and excluded from the concept
ex. dictionaries - concept whose meaning you don’t know is expressed in terms of concepts you hopefully do know
According to the Governance of marriage: Parliament has the right to _______ marriage
Provinces have the right to _______ marriage
Define
Solemnize
*at one point in time, provinces could recognize a marriage but the federal government wouldn’t
What was Bill C-28
Civil Marriage Act
changed the definition of marriage
Was “the lawful union of one man and one woman to the exclusion of all others”
Now “the lawful union of two persons to the exclusion of all others”
What are the 5 options for marriage status on the Canadian census?
- Single (never marred)
- Married (including common law)
- Separated
- Divorced
- Widowed
What is an operational definition?
Operational definitions specify a set of steps (operations) for connecting an abstract concept with concrete observations
- how do we count or see or empirically observe something “show me type”
ex. recipe for baking - provides steps for producing (experiencing) the baked good
Important because social researchers are interested in linkages between the abstract and concrete levels of experience
Review - What are variables?
What are we doing with variables now?
They are logical groupings of attributes
Two basic types discussed so far: Numeric (quantitative) and categorical (qualitative)
Now we’re going to break them down into more specific definitions (four levels of measurement)
What are the four levels of measurement?
Nominal, Ordinal, Interval, and Ratio
Describe nominal measures of variable grouping
*categorical variable - merely offers names or labels for characteristics
Possess “Equivalence” –>
Exhaustive : every possible observation can be classified in terms of that variable (ex. might add “other” “prefer not to say” “not applicable” or “don’t know”)
Mutually exclusive : every observation can be classified in terms of a single attribute
**all we can say about two people in terms of a nominal variable is that they are either the same or different
Describe ordinal measures of variable grouping
Equivalence AND Rank Order (attributes can be logically rank-ordered)
*can say that two people are the same or different AND can say one is “more” than the other
*we don’t know anything about the distance between each rank though (irrelevant how close or far apart the groups are from one anohter)
ex. social class, political orientation, self-rated health, course grade
Describe interval measures of variable grouping
Equivalence AND Rank Order AND Equidistance (fixed and equal space between groups)
- relatively uncommon in social sciences
*the logical distance between attributes can be expressed in meaningful standard intervals
**we can say two ppl are different from each other, one is more than the other, and HOW MUCH more
- ex. temperature - degrees celsius (can have negative degrees which is important)
Describe ratio measures of variable grouping
Equivalence AND rank order AND equidistance (fixed/equal intervals between attributes) AND a Real Zero (a meaningful or true zero point)
ex. number of hours doing something
ex. age
**can say that two ppl are different, one is more than the other, how much they differ, and the RATIO of one to another
*in most cases, we can treat interval and ratio measures the same
What is the implication of levels of measurement?
The level of measurement is significant in terms of the arithmetic operations that can be applied to a variable
What is Precision vs. Accuracy?
Precision = the property that refers to the fineness of measurement distinctions
Accuracy = the property that refers to the correctness of measurements
ex. guessing teachers’ age - if you’re guessing specific numbers, it’s more precise, but if you’re guessing in grouped ages (50-59), it’s more likely to be accurate
Precision isn’t always desirable but if you can get it then it’s golden and you can do so much with it statistically
What is reliability?
The quality of measurement that suggests the same data would have been collected each time in repeated observations of the same phenomenon
- consistency of measurement
What are the 4 methods for addressing measurement reliability?
- Test-Retest Method
- make the same measurement more than once - Split-Half Method
- give one measurement of the variable to half of your subjects, and the other measurement to the other half
(measuring the same thing a little bit differently and see if you get similar results)
**it’s always good to make more than one measurement of any subtle or complex social concept like prejudice for example - Use established measures
- measures that have proven their reliability in previous research - Reliability of Research Workers
- make use of supervisors or colleagues
What is validity?
A measure that accurately reflects the concept it is intended to measure
*Are you measuring what you want to measure
ex. IQ tests are sometimes considered a valid measure of “intelligence”
What is face validity?
Does it seem to be a reasonable indicator of that concept
- what does your gut tell you just from the face of it
Ex. looking at frequency of church attendance - does this tap into religiosity (yes it seems to make sense without a lot of explanation)