Variables/measurement/measurement characteristics Flashcards
Independent variables
- in intervention Studies
- in Prognosis Studies
- 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
Dependent variable
- the outcome of interest
- the variable that is hypothesized to be caused by the independent variable
What are levels to independent variables
the number of forms the independent variable takes in a study
Extraneous Variables
- 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
Discrete variables
- can assume only distinct values
- dichotomous: 2 values such as true/false
- polytomous: multiple values: scale of 1-10
Continuous
Theoretically can assume infinitely finer degrees of measurement depending upon the instrument utilized
what are the levels of measurement
- nominal
- ordinal
- interval
- ratio
Nominal measurement
- classification w/o value placed on the category
- no ranking or order
- can use names or numerals
- ex: gender, religion, ethnicity
Ordinal measurement
- 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)
Interval measurement
- 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)
ratio measurement
- order, interval distance and origin known
- can add, subtract, multiply, and divide
- ex: height, weight, speed
Reference standards of measurement and explain
- norm referenced:
- comparison of scores to previous test scores obtained from comparable subject - Criterion-referenced
- comparison of scores to a previously established absolute standard
What are the type of measurement reliablity
- Instrument: test-retest, survey (internal consistency, parallel forms, split-half)
- rater: intra-tester (within) or inter-tester (between 2 or more raters)
Measurement validity
- the degree to which a measure captures what it is intended to measure
- reliablity is a necessary but no sufficient condition for validity
Types of measurement validity
- face validity
- content validity
- construct validity
- criterion related validity
Face validity
- 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
Content validity
- 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
Construct validity
- validity of abstract concepts that underlie the measure
- achieved via operational definitions, logical arguments, theoretical arguments and research evidence
Criterion Validity
- 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
Forms of criterion validity
- concurrent validity
- predictive validity
Concurrent validity
- 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
predictive validity
- 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