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Tri 5 - EIP 2 > Exam 1 > Flashcards

Exam 1 Flashcards

1
Q

What is the most common characteristic of a nonevidence based practitioner

A

Arrogance

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2
Q

What is the difference between qualitative and quantitative research

A

Qual - objective truth can be revealed

Quan - understanding lived experiences

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3
Q

Describe an experimental design

A

Randomizable

Experimental and control groups

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4
Q

Describe a quasi-experimrntal design

A

Non randomizable

look at two groups with different characteristics and compare

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5
Q

Describe a case report

A

report of results from one case

Useful for new treatments

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6
Q

Describe cross sectional and longitudinal

A

Cross sectional - moment in time

Longitudinal - change over time

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7
Q

Describe a case control

A

Take 2 groups and examine their histories to identify predictive information

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8
Q

Describe a case series

A

Fills in the gap with research

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9
Q

What is the difference between research theory and research evidence

A

Theory - why something should work

Evidence - why something works

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10
Q

What are the pillars of EIP

A

Best research evidence
Clinical expertise
Patient values

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11
Q

What are the components of APTA 2020 vision statement

A 
Autonomous practice
Direct Access
DPT
EIP
Practitioner of choice
Professionalism
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12
Q

What is the 5 step process if EIP

A 
Ask 
Acquire
Appraise
Apply
Assess
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13
Q

Describe PICO

A

Patient population
Interested Intervention
Comparison intervention
Outcomes

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14
Q

What is the hierarchy of evidence

A 
N=1 RCT
Systematic reviews of RCT's
Multiple RCT
RCT
Systematic review of studies below
Observational cohort or case control studies, large case series
Case reports, small case series
Expert opinion
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15
Q

What is a concept

A

mental image of phenomenon in words

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16
Q

What is a construct

A

non observable abstraction, like patient satisfaction

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17
Q

What is a theory

A

An organized set of relationships among concepts or constructs that is proposed to describe and explain systematically a phenomenon of interest

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18
Q

What is a hypothesis and a null hypothesis

A

Hypothesis - claims of outcome of a study

Null hypothesis - claim of no correlation conclusion

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19
Q

Define a nominal measure and give some examples

A

Naming variables with subjective value

Gender
Race
Religious affiliation

20
Q

Define an ordinal measure and give some examples

A

Ranked and ordered variables without equal intervals between levels

Weight bearing status
Level of assistance
MMT
Patient satisfaction

21
Q

Define an Interval measure and give some examples

A

Ordered intervals with fixed distance between levels but no true zero

Temperature
Calendar year

22
Q

Define a ratio measure and give some examples

A

Equal intervals with true zero (most commonly used)

Height
Weight
Circumference
BP
Speed 
Distance
23
Q

Describe internal consistency

A

Degree to which subsections measure the same concept

24
Q

Describe Parallel forms reliability

A

reliability of a self report instrument when administered in different forms

25
Q

Describe split half reliability

A

measure of the internal consistency of test population

26
Q

Describe content validity

A

The degree to which items in an instrument represent all of the facets of the variable being measured

27
Q

Describe construct validity

A

The degree to which a test measures an intended hypothetical abstract concept

28
Q

Describe criterion validity

A

The extent to which one measure is systematically related to other measures or outcomes

29
Q

Describe floor and ceiling effects

A

Floor - failure of a measure to detect low scores

Ceiling - failure of a measure to detect high scores

30
Q

What are some measures of variability

A 
Range
Percentiles
SD
Variance
coefficient of variation
31
Q

Describe SD

A

how much, on average scores deviate from the mean of the data set

32
Q

Describe interquartile ranges

A

data are divided into equal portions to determine where an individual score lies with respect to other scores

33
Q

Describe effect size

A 
.2 = minimal effect
.5 = moderate
.8 = large effect
34
Q

Describe confidence intervals

A

A range of score that contains the true value being tested

Represented usually as 95%

35
Q

Describe an independent T test

A

Compare 2 independent groups

36
Q

Describe paired t test

A

Compare pre and post of the same group

37
Q

Describe ANOVA

A

Compare more than 2 independent groups

38
Q

Describe factorial ANOVA

A

Two or more independent variables are tested

39
Q

Describe ANCOVA

A

One or more independent

One dependent

40
Q

Describe MANCOVA

A

One or more independent variable

More than one dependent variable

41
Q

Describe chi square tests

A

Non-parametric test
It is the analysis of frequencies
Often used in epidemiology studies

42
Q

Describe a correlation analysis

A

Determines relationship between two variables

Does not determine cause and effect

43
Q

What is the difference between p value and alpha

A

P value - probability that a difference occurred due to chance
A level - predetermined threshold to determine if changes are by chance

44
Q

How do you interpret p and alpha values

A

If p is less or equal to alpha, accept research, this means a significant difference exists
If p is greater than alpha, reject research, no significant difference exists

45
Q

What values give a study high amounts of power

A

Large - alpha, effect, sample

Small - variance

Tri 5 - EIP 2 (1 decks)

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