Variables/measurement/measurement characteristics Flashcards

1
Q

Independent variables
- in intervention Studies
- in Prognosis Studies

A
  • intervention studies: the presumed cause of a measured effect; Independent variable is the on manipulated
  • Prognosis studies: the variable that is presumed to predict an outcome of interest; independent variable is the predictor variable
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2
Q

Dependent variable

A
  • the outcome of interest
  • the variable that is hypothesized to be caused by the independent variable
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3
Q

What are levels to independent variables

A

the number of forms the independent variable takes in a study

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4
Q

Extraneous Variables

A
  • confounds the relationship between the independent and dependent variables
  • need to be anticipated and controlled for if possible
  • these variables that could impact the result
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5
Q

Discrete variables

A
  • can assume only distinct values
  • dichotomous: 2 values such as true/false
  • polytomous: multiple values: scale of 1-10
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6
Q

Continuous

A

Theoretically can assume infinitely finer degrees of measurement depending upon the instrument utilized

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7
Q

what are the levels of measurement

A
  1. nominal
  2. ordinal
  3. interval
  4. ratio
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8
Q

Nominal measurement

A
  • classification w/o value placed on the category
  • no ranking or order
  • can use names or numerals
  • ex: gender, religion, ethnicity
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9
Q

Ordinal measurement

A
  • classification with order but w/o equal intervals between levels
  • can use numbers to label categories but cant do math
  • Ex: weight bearing status, MMT scale (cannot find the difference between partial weight bearing and toe touch weight bearing/cannot say there are even amounts between levels)
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10
Q

Interval measurement

A
  • order and interval distance known
  • origin is unknown/at no point where there is zero of the value
  • can do addition and subtraction
  • ex: temperature (there is no point where there is the absence of temperature)
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11
Q

ratio measurement

A
  • order, interval distance and origin known
  • can add, subtract, multiply, and divide
  • ex: height, weight, speed
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12
Q

Reference standards of measurement and explain

A
  1. norm referenced:
    - comparison of scores to previous test scores obtained from comparable subject
  2. Criterion-referenced
    - comparison of scores to a previously established absolute standard
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13
Q

What are the type of measurement reliablity

A
  1. Instrument: test-retest, survey (internal consistency, parallel forms, split-half)
  2. rater: intra-tester (within) or inter-tester (between 2 or more raters)
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14
Q

Measurement validity

A
  • the degree to which a measure captures what it is intended to measure
  • reliablity is a necessary but no sufficient condition for validity
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15
Q

Types of measurement validity

A
  1. face validity
  2. content validity
  3. construct validity
  4. criterion related validity
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16
Q

Face validity

A
  • does the measurement appear to asses what is intended
  • addressed from the standpoint of the test and from the standpoint of the patient or family member
17
Q

Content validity

A
  • the extent to which a measurement is judged to reflect the meaningful elements of a variable
  • judged by content experts or people with experience with the variable
  • evaluates how well and instrument covers all relevant parts of the construct it aims to measure
18
Q

Construct validity

A
  • validity of abstract concepts that underlie the measure
  • achieved via operational definitions, logical arguments, theoretical arguments and research evidence
19
Q

Criterion Validity

A
  • extent to which one measure is systematically related other measures or outcomes
  • requires direct comparison of index measure with a standard measure or with known outcome
20
Q

Forms of criterion validity

A
  1. concurrent validity
  2. predictive validity
21
Q

Concurrent validity

A
  • the ability of an index measure to capture an outcome similar to that of another measure
  • compare the index measure to the criterion measure, that was obtained at the same time
22
Q

predictive validity

A
  • the ability of an index measure to predict a future outcome
  • compare the index measure to the criterion measure that was obtained at a later point in time