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28 Cards in this Set

  • Front
  • Back

Established by reliability testing, provides researchers and therapists with confidence that scores from assessments will be consistent at different times and across different raters

consistency of results

Correctness of judgments depends on what three factors

standardization, reliability, and validity

Describe intervals for ADL scores

unequal; ratings do not necessarily represent equal intervals

Differences between measures and scores used in OT

intervals, efficiency, precision, and transparency

Definition of transparency

measures exist independently of the instruments used to generate them; distance can be translated across numerous instruments and converted across different scales

scores from most OT and healthcare instruments produce what?

frequency counts and not measures

Inherent in producing scores instead of measures is:

test dependency or instruments with different items, number of items, and rating scales generate different total scores

unidimensionality

idea a measure should define a single, unidimensional variable; speed, weight, and length are all unidimensional constructs so FIM is multidimensional

Did Wright and Linacre think an assessment can ever achieve perfect unidimensionality?

Nope; ideal of this must be approximated in a measure

Objective measurement defined as:

repetition of a unit amount that maintains its size, within an allowable range of error, no matter which instrument is used to measure the variable of interest and no matter who or what relevant person or thing is measured

repetition of a unit amount that maintains its size refers to what concept?

interval equality between units on the instrument

According to the definition of objective measurement measures must be free of what?

tests; meaning different instruments should be able to generate comparable measures

What is the classical test theory?

simple linear relationship that links observed score to sum of true score and error score (CTT); test dependent

Survey

method of inquiry characterized by collecting data using structured questions to elicit self-reported information from a sample of people

Types of variables

nominal, ordinal, interval, and ratio

Nominal variable example

gender and race

ordinal example

EKU #1, WKU #2

Interval example

Temperautre in

Ratio example

there is an absolute zero, weight , or age

t-test tells us

if there is a significant difference between two groups; compares means of two groups

Descriptive statistics provides us with:

understanding characteristics of a population

ANOVA

used to understand the relationship among different groups of people and/or variables (Analysis of Variance); compares means of more than one group; F statistic or p-value

null hypothesis

there is no difference between your groups

Type I error

you reject null when it is actually true (false positive)

Type II error

Rejecting the hypothesis or accepting the null when the null is false (false negative)

MANOVA

one independent variable but multiple dependent variables

multiple regression model

a predictive linear model you create a formula that best describes the data to predict other values

Chi-squared x2

for comparison of nominal/categorical variables