Exam 1 Flashcards

1
Q

peer review

A
  • also “refereed judging”

- when experts and editors rigorously evaluate a manuscript submitted for publication

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2
Q

PICOT

A
  • used to formulate EBP questions:
  • Patient population or condition of interest
  • Intervention of interest
  • Comparison of interest
  • Outcome of interest
  • Time
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3
Q

primary source

A

original info presented by the person or people responsible for creating it

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4
Q

secondary source

A

commentaries, summaries, reviews or interpretations of primary sources; often written by those not involved in the original work

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5
Q

scholarly literature

A

works written and edited by professionals in the discipline for other colleagues

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6
Q

trade literature

A

works written for professionals in a discipline using a more casual tone that used in scholarly literature

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7
Q

popular literature

A

works written to inform or entertain the general public

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8
Q

periodical

A

resource that is published on a set schedule

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9
Q

journal

A

scholarly or professional source

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10
Q

magazine

A

targeted to the general reading audience, not necessarily reliable

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11
Q

narrative review

A

reviews based on common or uncommon elements of works without concern for research methods, designs, or settings; traditional literature review

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12
Q

integrative review

A

a scholarly paper that synthesizes published studies to answer questions about phenomena of interest

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13
Q

meta-analysis

A

a scholarly paper that combines results of studies, both published and unpublished, into a measureable format and statistically estimates the effects of proposed interventions

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14
Q

systematic reviews

A

rigorous and systematic syntheses of research findings about a clinical problem

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15
Q

homogenous data vs heterogenous data

A
  • homogenous has little variability; you always want it to be homogenous in a randomized control trial
  • heterogenous has a wide variability
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16
Q

range

A
  • dif between max and min values in a data set
  • considered an unstable measure be it is very sample-specific
  • smaller range=more uniform data
  • larger the range=more variable
17
Q

semiquartile range

A

range of the middle 50% of the data

18
Q

percentile

A

measure of rank

19
Q

standard deviation

A

based on deviations from the mean of the data- used to determine the number of data values that fall within a specific interval in a normal distribution

20
Q

z-scores

A

standardized units used to compare data gathered using different measurement scales
-descibes the distance a score is away from the mean per standard deviation

21
Q

coefficient of variation

A

percentage used to compare standard deviations when the units of measure are different or when the means of distributions being compared are far apart
-divide the standard deviation by the mean and record it as a percentage

22
Q

tailedness

A
  • the rule of 68-95-99.7
  • Consider a bell shaped curve with three standard deviations to the right and three standard deviations to the left
  • Approximately 99.7% of scores will lie within these standard deviations
  • 68% will lie within one standard deviation
  • 95 % will lie within two standard deviations
23
Q

correlation coefficient

A

describe the relationship between two variables

  • Positive correlation- when one variable increases, the other variable increases
  • Negative correlation- when one variable increase, the other variable decreases
24
Q

magnitude

A

strength of a correlation relationship

  • 0= no relationship
  • .10 to .30= weak
  • .30 to .50= moderate
  • > .50= strong
25
Q

frequency

A

how often a variable is found to occur or may be presented as either grouped or ungrouped data

26
Q

ungrouped data

A

used to present nominal and ordinal data where the raw data represents some characteristic of the variable

27
Q

grouped data

A

used to present interval and ratio level data into smaller classifications to make the data easier to interpret

28
Q

mode

A

most frequently occurring value in in a data set

29
Q

mean

A

mathematical average calculated by adding all values and then dividing by the total number of values

30
Q

median

A

the point at the center of the data

31
Q

z scores

A

indicate how many standard deviations an element is from the mean
-z score of 0 is equal to the mean… more or less than 0 is more or less than the mean