Research Flashcards

1
Q

Independent variable

A

intervention or condition
-Cause or influences the dependent variable.
Controlled and manipulated by the researcher

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2
Q

Dependent variable

A

outcome or response

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3
Q

Clinical trial

A

research design tests how well methods of screening, preventions, diagnosis, or tx of dx work in people

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4
Q

Completely randomized design

A

random assignment to group with unique intervention
outcomes btwn groups compared at end of trial.
- parallel design

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5
Q

cross over design

A

subject is the own control

subject gets both treatments

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6
Q

Factorial design

A

subjects experience different combination of 2 more interventions
- subjects get different combos of levels of ind variable

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7
Q

Pretest-posttest design control group design

A
  • basic format of randomized controlled trial

- testing of randomized groups before and after treatment

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8
Q

posttest only design control group design

A

randomized groups are only tested after the intervention

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9
Q

repeated measures design

A

subjects acts as own control
subjects are tested under all conidtions
also known as within subjects design

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10
Q

Sequential clinical trial

A

Data is analyzed as it becomes available so trial can be stopped as soon as evidence is sufficient enough to show difference between treatments

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11
Q

Single subject design

A

Conclusions can be drawn from the effects of a treatment based on single patient.
-Uses repeated measurments overtime for at least two periods/pieces.
- Baseline (A) equal prior to treatment
- Intervention phase (B) after treatment
- intervention phases replicated to create design
(A-B) (A-B-A)(B-A-B)

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12
Q

Quasi experimental design

A

Research design without control group, random assignment, or both

  • One group pretest post test design.
  • One way repeated measures design overtime.
  • Time series design.
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13
Q

One group pretest post test design ; Quasi experimental design

A

Measurements on 1 group of subjects before and after treatment.
Time = independent variable with two levels (pretest and post test)

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14
Q

One way repeated measures design overtime; Quasi experimental design

A

Measurements on 1 group made at prescribed time intervals.

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15
Q

Time series design;Quasi experimental design

A

multiple measurements made before and after treatment observed patterns or trends during pre-treatment and post treatment periods

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16
Q

Internal validity

A

Intervention causes the outcome.

  • Control of extraneous variables and sources of bias that may reduce validity of results
  • blinding
  • control groups establishment
  • Matching/ pairing
  • Intent to treat analysis
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17
Q

what is blinding and what different types exist in order to create internal validity

A

Method to keep individuals knowing from which subjects have received intervention or not. Reduce bias and placebo effect

Single blind: subjects are unknowing of group assignment until end of study

Double blind:Subjects and some researchers unaware of hypothesis or group assignment until end of study

Triple blind: Subject, members of research team, and data analyzers unaware of research hypothesis group assignment until end of study

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18
Q

Control group; what are the two most common forms of control?

A
  • Statistically identical to treatment group, except for variable of interest.
  • Help isolate the effects of the independent variable
  • Active control: Effective (not sham) treatment is compared to experimental treatment. When effective treatment is available it is unethical to use placebo controlled for comparison to experimental treatment.
  • Placebo control:Active substance/treatment that looks the same and is administered the same as the active drug or treatment
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19
Q

What is Matching/ pairing used for ? What is it?

A
  • Method to increase internal validity
  • Before random group assignment subjects who have a identical characteristics (weight age and race) are selected in order to ensure result in groups are based on important variables that may affect outcome
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20
Q

What is intention to treat analysis, why is it used

A

All subjects are analyzed together.

This preserves original balance of subject groups through randomization.

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21
Q

External validity

A
  • Degree that research results are generalizable to population/circumstances beyond the study.
  • Threats to external validity are specific types of subjects tested in one place (setting) or time ( history) that study was performed
22
Q

Threats to internal validity

A

-Threats to internal validity: history, maturation, attrition, testing, instrumentation, regression towards the mean

23
Q

What is an example of a Hawthorne effect, what is the Hawthorne effect

A

Tendency for individuals to change behavior in response to being watched or observed in a study
-Child acts differently, well behaved in front of observer

24
Q

alternate hypothesis H1

A

Statement of the population parameter has value different from the null hypothesis.
The alternate hypothesis is accepted when the null hypothesis is rejected

25
Q

Null hypothesis H0

A

Value of a population parameter mean, proportion, correlation coefficient is equal to claimed value

26
Q

P-Value

A

Probability that statistical result happen by chance.

  • reject the null when P >alpha
  • (alpha= level of significance)
  • Accept the null when P is less than alpha
  • “Accept the null when P is small”
27
Q

Type 1 error

A

Alpha error

  • Wrong rejection of Null hypothesis
  • There’s a difference a relationship when there is not
  • Significance of a .01 there’s a 1% chance of a type one error occurring.
  • False positive finding
28
Q

Type 2 error

A

Wrongly deciding to not reject no hypothesis.
Concluding there is no difference when there is.
False negative

29
Q

What type of significance is a conclusion made from a small probability and difference between the groups/relationship variable happen by chance?

A

statistical significance

30
Q

What is statistical power

A

Chance that statistically significant result is found

- chance that study leads to rejection of a false null hypothesis

31
Q

Effect size

A

Magnitude of difference between two treatments. Magnitude of relationship between two variables.
The larger the ES the more likely it is statistically significant.

32
Q

Effect size index

A

Calculating the mean of the treatment group minus the meaning of the control group and dividing it by the standard deviation of one of the groups

-

33
Q

What is a trivial, small, moderate and large effect using the effect size index

A

<0.1 = trivial wffect
1 - .3 = small effect
.3 - .5 = moderate affect
>.5 = large effect

34
Q

MCID minimla clinically important difference

A

Indicate smallest difference in patient’s condition that may warrant a change in patient management.
For research study: indicates a meaningful or trivial affect on the patient status

35
Q

MDD

A

Change in patient’s condition beyond threshold of error. Smallest difference that would be statistically significant

36
Q

What is the difference between parameter and statistics

A

Parameters: numerical characteristic of population, population mean/STD

Statistic: used to estimate population parameters such as sample mean and standard deviation

37
Q

What’s the difference between systematic review and meta analysis

A
  • Systematic review: comprehensive review using explicit methods to systematically search identify and appraise all literature
  • Meta- Analysis: systematic review using statistical technique to estimate effect size. Minimizes problem of small sample size and individual studies since it pulls trials and increases overall sample size
38
Q

Nominal scale

A

Each person can only be assigned to one category values are mutually exclusive and exhaustive.
Blood type, type of breath sound, type of arthritis

39
Q

Ordinal scale

A

Ranking scale.
Intervals between ranks may be unequal or unknown
Manual muscle test grade, level of assistance, pain, and joint laxity grades

40
Q

Interval scale

A

Intervals between values are equal but there is no true zero points.
Temperature, Celsius functional status tests

41
Q

Ratio scale

A

Intervals between valuables are equal and there is a true zero point.
-Range of motion in degrees, distance walked, time to complete activity, nerve conduction velocity

42
Q

What is the difference between alternate forms of reliability and internal consistency

A

Alternate forms of reliability: Different forms of test are agreed-upon as reliable (version 1 2 and 3 are the same)

Internal consistency: Extent that items/ elements reflect one basic phenomenon or dimension.
-EX:Assessment scale only includes items related to patient’s physical function

43
Q

Intrarater reliability

A

Consistency repeated overtime by same person

44
Q

Interrater reliability

A

Consistency and agreement of measurements taken by different examiners

45
Q

Test retest reliability

A

Consistency/equivalence of repeated measurements on the same person on separate occasions.
- Can be affected by interval between tests due to affects of fatigue/learning or changes of characteristic while being measured

46
Q

Face validity

A

Degree that a measurement appears to test what it supposed to do.
-See how measurements derived from test relate to specific problem

47
Q

Content validity

A

Measurement reflects the meaningful element of a construct and items in the test reflect the question at hand and not extraneous elements.

-McGill pain questionnaire (Better because of more thorough pain assessment)versus visual analog pain scale

48
Q

Construct validity

A
  • Degree that theoretical construct is measured by a test or instrument.
    MMT scores reflect as a valid indication of innervation status if there’s a relationship between MMT and electromyographic testing
49
Q

Concurrent validity

A
  • Form of criterion related validity

comparing measure to the gold standard

50
Q

Predictive validity

A

Form of criterion related validity that considers a measurement to be valid because of it predicts future of event or behavior
-GPA or GRE indicate success in academia

51
Q

Prescriptive validity

A
  • Form of criterion related validity
  • Measurement suggest form of treatment that the person should receive
  • Person with asystole on ECG has an arrhythmia and would be successfully revived by CPR