Lec 2 Flashcards

1
Q

what is an independent variable?

A

manipulated variable

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2
Q

what is an dependent variable?

A

measured variable

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3
Q

what is a confounding variable?

A

a variable that could influence the outcome of the study

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4
Q

which type of hypothesis statement is usually included in a manuscript?

A

scientific (alternative) hypothesis

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5
Q

which types of variables are qualitative data?

A

nominal
ordinal

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6
Q

which types of variables are quantitative data?

A

interval/ratio

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7
Q

T/F: parametric stats can be ran on quantitative variable but NOT qualitative

A

T

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8
Q

which types of studies are descriptive?

A

surveys
retrospective data (with no comparative or relationship analyses)
normative
qualitative

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9
Q

which types of studies are exploratory?

A

correlative/predictive
methodological

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10
Q

which types of studies are experimental?

A

RCT

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11
Q

where do case-control, quasi-experimental, and single subject studies fit in (type)?

A

between exploratory and experimental

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12
Q

when is the alpha level set small?

A

with the largest risk

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13
Q

T/F: the p-value is set in advance.

A

F

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14
Q

what is the alpha level?

A

pre-set significance level
the point at which you would consider the result highly unlikely
usually 0.05

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15
Q

if an alpha level is 0.05, what does this mean?

A

there is a 5% chance of committing a type 1 error

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16
Q

what is a p-value?

A

the actual probability that the results occurred just because of sampling error

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17
Q

what is the worst error to make?

A

type 1 = saying there is a significance but there is actually not one

18
Q

internal validity issue: history

A

did something happen pre and post testing to change the results?

19
Q

internal validity issue: maturation

A

did the participants change over time?
ex: children, disease recovery

20
Q

internal validity issue: attrition/mortality

A

who dropped out and why?

21
Q

internal validity issue: repeated testing

A

did repeated testing change outcome?
get good at a test more times its administered

22
Q

internal validity issue: instrumentation

A

did the measurement tool change?
does the tool need calibration?

23
Q

internal validity issue: regression to the mean

A

groups with initial extreme scores tend to regress towards the mean

24
Q

internal validity issue: experimental bias

A

researcher is biased and influences the outcome

25
internal validity issue: selection
did groups differ in key ways? did the sample not represent the population?
26
type 1 error
reject null when shouldn't
27
type 2 error
fail to reject the null when should have usually d/t low power or small sample
28
simple random sample
sampling in which the researcher randomly selects a subset of participants from a population (ex: all TX students have equal chance of selection)
29
systematic sampling
probability sampling method in which a random sample, with a fixed periodic interval, is selected from a larger population (ex: pick every 20th student)
30
stratified sampling
the division of a population into smaller subgroups (ex: pick 10 student from every DPT program)
31
cluster sampling
the sample frame is divided into sections but only certain parts or sections are used (ex: student picked from 3 randomly selected programs)
32
convenience sampling
the members of the sample frame volunteer or self-elect
33
what is the equation for cohen's d?
d=(difference in means)/(pooled std)
34
a ___ cohen's d is better
larger
35
there is ____ variability with a larger effect size
less
36
when effect size goes up, power goes ___
up
37
when number of participants go up, power goes ___
up
38
what is a small effect size?
0.2
39
what is a medium effect size?
0.5
40
what is a large effect size?
0.8