Week 2 Flashcards

(58 cards)

1
Q

How is data collected for qualitative research?

A

Interviews

Observation/field notes

Reading documents for background

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2
Q

How is data analyzed for qualitative research?

A

Code all of data and then try to find themes between them

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3
Q

Mixed methods

A

When qualitative and quantitative data are both used in one research

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4
Q

What does descriptive/observational research describe?

A

Samples through observation

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5
Q

Methodological research

A

Studies examining reliability and validity

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6
Q

What has highest validity between prospective, retrospective, and cross sectional?

A

Prospective

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7
Q

Natural history

A

Looking at a disease as it progresses over time

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8
Q

Normative studies

A

Normal/functional ROM or strength

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9
Q

Surveys and case studies

A

Descriptive/observational

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10
Q

N of 1 study

A

Following one patient and is prospective (experimental)

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11
Q

Case study

A

Observational

Retrospective

Less internal validity

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12
Q

When are case studies valuable?

A

They show a lot of detail as well as the thought process of clinical reasoning

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13
Q

What are the benefits of a N of 1 study?

A

Greater internal validity and more patient focused

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14
Q

Exploratory research

A

Investigating relationships between 2 or more variables

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15
Q

What is correlation a precursor to?

A

Prediction

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16
Q

Cohort study

A

Prospective

Rare exposures

Multiple outcomes

Slow

Expensive

Strong evidence

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17
Q

Case control studies

A

Retrospective

Rare outcomes

Multiple exposures

Fast

Inexpensive

Weak evidence

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18
Q

Quasi experimental research design

A

Lacks random assignment

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19
Q

Experimental research

A

Has a comparison or control group, randomly assigns participants to groups

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20
Q

What are the 5 criteria to define cause and effect relationship?

A

Time sequence

Strength of association

Biologic credibility

Consistency with other studies

Dose response relationships

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21
Q

Time series design

A

3x pre test

Intervention

3x post test

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22
Q

Why is a time series strong than a quasi experimental?

A

More testing (accounting for history)

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23
Q

Narrative review

A

Selective review of literature

Authors can cherry pick articles

Broadly covers topic

Prone to bias

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24
Q

Systematic review

A

Highly detailed review of literature

Authors must exhaust search efforts

Broadly covers a topic but includes all relevant articles

25
Meta analysis includes a systematic review and what else?
Review and quantitative pooling of data for a statistical analysis
26
When is data statistically significant on a forest plot?
When it crosses the vertical line
27
What does it mean if the forest plot has a larger box?
Larger sample size
28
CPG
Summaries of evidence to guide examination and treatment
29
Research design validity
Relates to the choices made with research design (does the design help us measure and talk about what we intended to)
30
Internal validity
Blinding, randomization, less bias
31
External validity
Extent to which results can be applied to a generalized population (only soccer players in 2 states) (real world)
32
What is a highly controlled research design?
Internal validity
33
What is a pragmatic research design?
External validity
34
Efficacy
Benefit of a treatment delivered in a highly controlled and ideal environment
35
Effectiveness
Benefit of a treatment delivered in a pragmatic manner under real world conditions
36
Independent variable
Something you manipulate (measures)
37
Dependent variable
What we measure (outcomes)
38
Construct
Non observable/non measurable quality you wish to measure
39
Operational
Conversion of a construct into something observable and measurable
40
What are some constructs measured in PT?
Strength Speed Knowledge Intelligence
41
Continuous variable
Any value along a continuum within a defined range (age)
42
Discrete
Described in whole units only (number of children)
43
Nominal
Names (categories) Sex or gender Blood type Diagnosis Race Occupation History of cancer
44
Ordinal
Names/categories but they have order to them Manual muscle testing Function Salary
45
Interval
Numerical data (temperature in degrees) (can go below zero)
46
Ratio
Numerical data (distance, age, weight, time) (Cannot go below zero)
47
Attribute independent variable
Can not be manipulated (age)
48
Active independent variable
Can be manipulated (body position)
49
What is the word factor associated with?
Independent variable
50
What is the word variate associated with?
Dependent variable
51
Reliability
Describes the extent to which a test or measurement is free from error
52
Intra rater reliability
Degree the examiner agrees with himself
53
Validity
Degree to which a test measures what it’s suppose to be measuring
54
Face validity
Degree to which the questions on a test make sense to the users
55
Content validity
Content of the measure is consistent with what is to be measured
56
Criterion validity
Comparing results of a test to those of a test that is considered gold standard
57
Construct validity
How well a tool measures an abstract concept
58
Inter rated reliability
Variation between 2 raters who measure same group