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USA EIP Final Review, Exam terms. 1005 verified questions and answers, 100% verified.

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USA EIP Final Review, Exam terms. 1005 verified questions and answers, 100% verified. Internal Validity - the control of extraneous factors - has the least amount of bias and error - everything is accounted for External Validity - Refers to how applicable or generalizable the results a...

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  • January 26, 2023
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USA EIP Final Review, Exam terms. 1005
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verified.

Internal Validity - ✔✔the control of extraneous factors



- has the least amount of bias and error

- everything is accounted for



External Validity - ✔✔Refers to how applicable or generalizable the results are to a certain population



- population= stroke pt's, PT, OT, etc.



T/F: the more internally valid a study, the least externally valid it is - ✔✔True



Threats to Validity - Attrition/Mortality - ✔✔Subjects leave the study before finishing



- this can increase bias by skewing results



Threats to Validity - Subject Selection/Assignment - ✔✔Sample size must be a valid representation of a
population in order to generalize results



Threats to Validity - Other Forms of Bias - ✔✔- Competition

- The Hawthorn Effect: when someone acts differently b/c they're being watched

- Researcher Influence

- Binding

, Statistics/Data Analysis - ✔✔- Statistics give researchers a tool in which to explain, describe and predict
future results

- The type of statistical test depends on the type and amount of data collected



Commonly Used Descriptive Statistics - ✔✔1. T-Test

2. ANOVA

3. Regression



T-Test - ✔✔Compares a mean value to either a theoretical mean or another mean



ANOVA (Analysis of Variance) - ✔✔Compares groups to each other



- it is trying to see how far the data skews away from the mean

- used with more than 2 groups



Regression - ✔✔Measures how the independent variable effects the dependent variable at several
points



Statistical Significance - ✔✔A statistical statement of how likely it is that an obtained result occurred by
chance



"P-Value"



Confidence Interval - ✔✔A range of values so defined that there is a specified probability that the value
of a parameter lies within it.



Independent Variable - ✔✔The variable that is CHANGED or controlled in a scientific experiment to test
the effects on the dependent variable

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