Chapter 19 Flashcards

1
Q

ancestry approach

A

the reference lists of all the articles obtained so far checked to see if they cite any potentially relevant manuscripts that the search missed

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2
Q

Cohen’s d

A

computed by subtracting the mean of the control group from the mean of the experimental group and dividing by the pooled standard deviation of two groups

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3
Q

combining studies

A

arriving at an overall, bottom-line answer to the focused hypothesis of interest

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4
Q

comparing studies

A

analyses that seek to document and explain variability among the effect sizes of the group of studies

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5
Q

differential mortality

A

a higher percentage of people being dropped from one group compared to the others

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6
Q

diffuse tests (tests of heterogeneity)

A

the goal is to determine whether there is significant variability among a group of effect sizes using a x^2 test

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7
Q

effect size

A

the strength or magnitude of an association in the population or degree of departure from the null hypothesis

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8
Q

electronic database

A

i.e. psycINFO or MEDLINE

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9
Q

focused question

A

group of studies all address the same hypothesis

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10
Q

focused tests

A

explicitly test hypotheses about the reasons for variability among effect sizes (advocates z test)

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11
Q

fundamental equation of data analysis

A

significance level = size of effect x size of study

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12
Q

invisible college

A

the network of researchers working on the topic

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13
Q

key words

A

words entered when one searches by subject

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14
Q

literature reviews

A

thorough search for all research conducted on the topic

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15
Q

literature search

A

identify the relevant electronic database then decide on key-words

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16
Q

meta-analysis

A

the results of studies are combined and analyzed quantitatively

17
Q

moderator variable

A

third variable that affects correlation of two variables

18
Q

narrative literature review

A

studies are described and summarized verbally

19
Q

psychometric properties

A

construction and validation of measurement instruments

20
Q

publication bias

A

the tendency to overstate the magnitude of a given effect because relevant non-significant findings or failures to replicate are not included in the review

21
Q

publication lag

A

the interval between manuscript acceptance and publication // usually exceeds a year

22
Q

standardized effect-size index

A

puts the results of all the studies on the same scales in order to compare results across studies meaningfully

23
Q

statistical power

A

the likelihood of finding an effect that exists in the population (opposite of type II error)

24
Q

thesaurus

A

lists the “official” phrasing for a key word topic and variations on the descriptor // most underused