Week 3 Flashcards

(32 cards)

1
Q

What are common names for experimental research designs?

A

Randomized trial

Clinical trial

Randomized clinical trial

Randomized controlled trial

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2
Q

Extraneous variables

A

Any factor not related to the purpose of the study that could affect the dependent variable (age)

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3
Q

When does an extraneous variable become a confounding variable?

A

When they are not controlled

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4
Q

Why is it important to randomly assign subject?

A

Subject judgement does not play a role

Gives an equal chance of being assigned to each group

Helps control extraneous variable

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5
Q

Concealed allocation

A

The person deciding if someone will be included in the study has not seen what group the subject is in

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6
Q

Random sample

A

Method of recruiting a sample from a certain population

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7
Q

Random assignment

A

Used to equalize two groups (treatment and control)

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8
Q

Designs for independent groups between subject designs

A

Examining the differences between independent groups of studies (groups get different things)

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9
Q

Repeated measures design (within subject design)

A

One group measured multiple times

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10
Q

Order effects

A

Outcome may be dependent on the order of the measurements (randomized order)

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11
Q

Crossover design

A

Single factor pretest and posttest

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12
Q

Washout period

A

Period of time to eliminate the prolonged effects of the treatment

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13
Q

Within subjects multifactor design

A

Same group with do a squat with weights and then without

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14
Q

Between subjects multifactor design

A

One group with do squats with weights and another group does squats without weight

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15
Q

Mixed model design

A

1 independent variable is between subjects and 1 independent variable is within subjects

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16
Q

Random sampling

A

All items have the same chance of selection (minimizes bias)

17
Q

Systemic sampling

A

Potential subjects are organized according to an identifier like medical record number

18
Q

What are types of probabilistic sampling?

A

Random and systemic

19
Q

What are types of non-probabilistic sampling?

A

Convenience

Snowball

Purposive

20
Q

Convenience sampling

A

Recruit easily available people who meet criteria of study (most commonly used and is volunteer)

21
Q

Snowball sampling

A

Start with a few subjects and have them tell others

22
Q

Purposive sampling

A

Make specific choices about who will serve as subjects by handpicking

23
Q

Responsiveness

A

Ability of an instrument to change over time

24
Q

Why do we measure change?

A

To see if patient has improved or declined

25
Minimal detectable change (MDC)
Ability of an instrument to detect change beyond measurement error
26
Minimal clinically important difference (MCID)
Ability of an instrument to detect minimally important change
27
Bias
Misleading results
28
Random error
Unreliable results
29
What are acceptable percentages to lose in a study?
<5% is good >20% is bad
30
Per protocol analysis
Remove them from study
31
Intention to treat
Keep all of participants data in the group they were randomly assigned to
32
Why is intention to treat better than per protocol?
Manages bias the best