Stats Flashcards

1
Q

what is a theory

A

an organized set of beliefs about a phenomenon

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2
Q

what is internal validity

list the three criteria required:

A

the extent to which the association between x and y is causal in nature

  1. statistical association between variables
  2. temporal precedence
  3. nonspuriousness
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3
Q

what is statistical conclusion validity

A

examines whether there is a statistical association between x and y, and what the magnitude of the relationship is.

some issues can include statistical significance, effect size, and statistical power

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4
Q

what is construct validity

A

the extent to which conclusions can be made from a test regarding the higher order construct.

e.g. did you capture all aspects of the construct?

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5
Q

what does random assignment to groups do in the context of a group-based randomized experiment?

A

it precludes systematic pre-test group differences because the groups are probabilistically equated on all measured and unmeasured constructs

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6
Q

what is an efficacy trial

A

conducted in ideal circumstances to see fi an intervention has an effet

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7
Q

what is an effectiveness trial

A

conducted in real-life setting to see if an intervention can actually lead to changes as it might be implemented in the community

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8
Q

what is the purpose of intent-to-treat analyses?

A

to provide a conservative (and real-world) estimate of the treatment effect, which includes cases exposed to varying levels of treatment

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9
Q

what is an ABAB design?

A

a type of single-case experiment that examines:
baseline (A)
intervention (B)
baseline (A
intervention (B)

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10
Q

what is a multiple-baseline design

A

capture baseline data of several behaviors, then monitors how these behaviors change after implementation of some intervention

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11
Q

what are things you look at when evaluating a single-case experiment?

A

mean changes
level shifts
slope (or function) changes

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12
Q

what is a quasi-experimental study and what are two common examples of these?

A

when you can’t do random assignment

  1. when patients self-select to an intervention
  2. when intact groups (e.g. patients at different community health centers) are differentially exposed to treatment conditions

researcher has to figure out how to rule out these threats to internal validity

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13
Q

what is an interrupted time series design?

A

you collect data consistently before and after an intervention

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14
Q

what is a regression discontinuity design?

A

you compare groups who are just above vs. those just below a cutoff score

e.g., you look at people who score 79 and dont get a scholarship with those who score 80 and do

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15
Q

what is a case-control design?

A

comparing a group of participants with a certain characteristic (e.g., those with ADHD) to a group without that characteristic

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16
Q

what is a cohort design?

A

you follow an intact cohort over time to examine emergence or changes in the variable of interest.

this is a LONGITUDINAL design.
you can use multiple cohorts of different ages to get a cross-sequential design (AKA accelerated longitudinal design) (and shorten the time you have to gather data)

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17
Q

how are multiple cohort designs different from case-control designs?

A

multiple cohort: groups differ on exposure to something (e.g., poverty)
case control: groups differ on central characteristic (e.g., ADHD)

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18
Q

how to evaluate the potential impact of internal validity threats to your study

A

in single group studies: threat to validity has to be capable of producing the pattern of results observed

in multiple-group studies: threat needs to be capable and vary systematically by group

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19
Q

what is external validity?

A

how well the results can generalize, or under what conditions the intervention can work.

threats include:
what are interactions/limits of the intervention? (e.g., does this work for different genders, SES, race/ethnicity)

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20
Q

list the three basic principles of the Belmont report

A

beneficence
respect for individual’s autonomy
justice (equitable distribution of potential risks/benefits)

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21
Q

what is a nomological network

A

the relations among observed measures, relations between observed measure and latent constructs, and relations among latent constructs

22
Q

what is the reliability of a measure from the perspective of CTT

A

ratio of true score variance to total variance

23
Q

what is tau equivalence

A

in the population, all the items in our test have the same relationship with the underlying construct,

24
Q

5 domains to assess construct validity

A

1) test content, 2) response processes, 3) internal structure, 4) relations with other variables, 5) consequences of use

25
Q

what is structural validity

A

the extent the measure’s structure aligns with the theorized factor structure

26
Q

Rasch model

A

psychometric model for analyzing categorical data - a function of the responder’s abilities and the item difficulty

27
Q

3 decisions to make in EFA

A

1) method of factor extraction, 2) method of factor rotation, 3) how many factors to retain

28
Q

orthogonal vs oblique rotation

A

oblique: factors assumed to be correlated

29
Q

how do you determine how many factors to retain in EFA?

A

examine scree plot, eigenvalues >1

30
Q

what are some fit indices in CFA?

A

chi-square test, root mean square error of approxiamtion (RMSEA), standardized root mean square residual (SRMR). ALL quantify how well the model-implied variance reproduces the estimated population covariance matrix

31
Q

four types of data sources

A

LOTS: Life events, observational, testing, self-report

32
Q

what is measurement invariance

A

ensuring that the same measure in different groups actually measures the same construct in the same way

33
Q

what are the four types of data (levels of measurement)

A

nominal, ordinal, ratio, interval

34
Q

nominal scale

A

categories of qualitative variables

35
Q

ordinal scale

A

ordered/ranked on some construct. E.g., likert scales

36
Q

interval scale

A

allows for ordering and examining magnitude differences among responses. NO real zero point. (e.g., temperature)

37
Q

ratio scale

A

variables have equal intervals and a true zero (e.g., distance)

38
Q

when to use the mean as a measure of central tendency

A

for interval or ratio scales, when data is not highly skewed

39
Q

when to use the median as a measure of central tendency

A

for ordinal data or when data are interval or ratio but highly skewed

40
Q

what is the interquartile range?

A

captures the middle 50%: subtract 25th percentile from 75th percentile

41
Q

how do you calculate variance

A

Numerator: subtract mean from each value and square. Sum all

Denominator: n-1

42
Q

standard deviation vs. standard error

A

The standard deviation reflects variability within a sample, while the standard error estimates the variability across samples of a population

43
Q

what is the standard error of the mean?

A

measures the precision of the sample mean to the population mean. Decreases as sample size increases

44
Q

what is the formula to calculate z

A

(x-M)/SD

45
Q

what is skewness, what is + vs -

A

departure from symmetry. Negative skew: more cases on higher end. Positive skew: more cases on lower end

46
Q

what is kurtosis

A

relative peakedness of the distribution. Lepto (+) = more peaked. Platy (-) = flatter

47
Q

long-range probability of type II errors

A

Beta

48
Q

statistical power

A

probability of correctly rejecting a false null hypothesis

49
Q

what factors affect power

A

sample size, alpha, directional vs nondirectional hypotheses, magnitude of the effect, reliabilty of measures

50
Q

what does Cohen’s d measure

A

effect size. Reflects the standardized mean difference between two groups divided by the pooled SD.