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UVic Nurs 360 > Ch. 4,5,6,8 > Flashcards

Ch. 4,5,6,8 Flashcards

1
Q

Bivariate analysis

A

Stat analysis involving only 2 variables

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2
Q

Categorization scheme

A

orderly combination of carefully defined groups, no overlap in categoreis

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3
Q

coding

A

reducing large amounts of data to numbers or groups (QL) or giving datum numerical values (QN)

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4
Q

Content analysis

A

the process of understanding, interpreting, and conceptualizing QL data

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5
Q

data reduction

A

organizing large amounts of data to streamline coding

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6
Q

demographic

A

descriptive information about the characteristics of the population studied

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7
Q

frequency distrubution

A

presentation of data that shows the spread for frequency of data values

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8
Q

inferential stats

A

allows research to draw conclusions from QN data

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9
Q

inference

A

reasoning that ges into drawing a conclusion based on evidence

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10
Q

3 most common measures of central tendency

A

mean, median, mode

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11
Q

standard deviation

A

sq root of variance

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12
Q

theme

A

results in QL research, ideas or concepts that are recurrent

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13
Q

Univariate analysis

A

stat analysis about only one variable

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14
Q

variance

A

diversity in data for a single variable

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15
Q

Analysis of variance

A

ANOVA

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16
Q

ANOVA

A

statistical test for analyzing differences in the means of 3 or more groups

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17
Q

Beta value

A

tells us the connection of each factor to the dependent variable

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18
Q

what is beta value derived from

A

regression analysis

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19
Q

confidence interval

A

range of values for a variables that set boundaries or test a statistic

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20
Q

covary

A

when one change in variable leads to consitent change in another

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21
Q

factor analysis

A

identifies underlying strc in a measure, identifies discrete groups that are more closely related to eachother then others

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22
Q

nonparametric stats

A

group of inferential stats for numbers that are skewed, or are categorical/ordinal

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23
Q

parametric hypothesis

A

group of inferential stats for normally distributed variables or interval/ration numers

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24
Q

probability

A

% of time results would of happened by chance

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25
Q

reggression

A

stat procedure that measures how much the independent variable explains the variation in the dep variable

26
Q

T test

A

tests for differences in means on a variable between 2 groups

27
Q

bias

A

unintended factor that confuses or changes the results of a study

28
Q

cluster sampling

A

process of sampling in stages, starts with general element then specifies

29
Q

matched sample

A

intent selection of pairs of subjects that share characteristics to prevent confusion

30
Q

nonprobability sampling

A

sampling that does not assure that everybody in the population has an equal chance of selectio

31
Q

probablity sampling

A

assure all members of the population have an equal chance of inclusion

32
Q

purposive suampling

A

intentially selected participants

33
Q

quota sampling

A

selection of individuals who have more then one characteristic important to the study

34
Q

random assignment

A

ensuring all study participants have an equal chance of selection, includes purposive or conveneicnce

35
Q

randomly selected

A

process of creating a random sample, selection of as subset of a population where all members of the population are identified, and listed

36
Q

sampling frame

A

pool of individuals potential for study

37
Q

sampling unit

A

elemvent of the population that will be selected for the study

38
Q

selectivity

A

tendency of certain segments of a population agreeing to be in studies

39
Q

simple random sampling

A

all members have equal probability of being included, considered the best type

40
Q

stratified random sampling

A

divising the population into 2+ groups based on characteristics, then randomly selecting members from each group

41
Q

Systematic sample

A

selecting ppl for a study where population is identified and numbered, and selected using fixed intervals

42
Q

audit trail

A

written or computed notes in QL data describing process

43
Q

confirmability

A

ability to consistently repeat descion making about data collection in QL research

44
Q

construct validity

A

how well an instrument measures what it is meant to measure

45
Q

content validity

A

establishes that the items or questions on a scale are comprehensive

46
Q

credibility

A

confidence that the researcher and reader have in the findings of the study

47
Q

criterion-related validity

A

extent to which the results of one measures match those of another which is to reflect the same thing

48
Q

error

A

difference between what is true and the answer we obtained from data collection

49
Q

instrument

A

specific device that objectifies data collection

50
Q

Internal consistency reliability

A

the extent to which a scale is similar and related

51
Q

inter-rater reliability

A

consistency in measurment that is present when 2 or more independent data collectors agree

52
Q

items

A

questions on a scale

53
Q

member checks

A

QL, where the data and findings from analysis are brought back to participants to check accuracy

54
Q

participation observation

A

QL method where researcher intentionally imbeds himself in environment where data is collected, and becomes a participant

55
Q

reliability

A

the consistency with which a measure can be counted on to give the same result

56
Q

rigor

A

a strict process of data collection and anlaysis,

the overall quality of QL research

57
Q

scale

A

set of questions/statements intended to measure a specific variable

58
Q

triangulation

A

using more then one data dource to include different views or to look at data from different angles

59
Q

trustworthiness

A

honesty of the data collected

60
Q

validity

A

how accuratley a measure yeilds information about the variable being studied

61
Q

visual analgo

A

response scale that is a specific length with extreme responses at either end. no other points are marked

UVic Nurs 360 (3 decks)

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