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

Ch. 4,5,6,8 Flashcards

(61 cards)

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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
reggression
stat procedure that measures how much the independent variable explains the variation in the dep variable
26
T test
tests for differences in means on a variable between 2 groups
27
bias
unintended factor that confuses or changes the results of a study
28
cluster sampling
process of sampling in stages, starts with general element then specifies
29
matched sample
intent selection of pairs of subjects that share characteristics to prevent confusion
30
nonprobability sampling
sampling that does not assure that everybody in the population has an equal chance of selectio
31
probablity sampling
assure all members of the population have an equal chance of inclusion
32
purposive suampling
intentially selected participants
33
quota sampling
selection of individuals who have more then one characteristic important to the study
34
random assignment
ensuring all study participants have an equal chance of selection, includes purposive or conveneicnce
35
randomly selected
process of creating a random sample, selection of as subset of a population where all members of the population are identified, and listed
36
sampling frame
pool of individuals potential for study
37
sampling unit
elemvent of the population that will be selected for the study
38
selectivity
tendency of certain segments of a population agreeing to be in studies
39
simple random sampling
all members have equal probability of being included, considered the best type
40
stratified random sampling
divising the population into 2+ groups based on characteristics, then randomly selecting members from each group
41
Systematic sample
selecting ppl for a study where population is identified and numbered, and selected using fixed intervals
42
audit trail
written or computed notes in QL data describing process
43
confirmability
ability to consistently repeat descion making about data collection in QL research
44
construct validity
how well an instrument measures what it is meant to measure
45
content validity
establishes that the items or questions on a scale are comprehensive
46
credibility
confidence that the researcher and reader have in the findings of the study
47
criterion-related validity
extent to which the results of one measures match those of another which is to reflect the same thing
48
error
difference between what is true and the answer we obtained from data collection
49
instrument
specific device that objectifies data collection
50
Internal consistency reliability
the extent to which a scale is similar and related
51
inter-rater reliability
consistency in measurment that is present when 2 or more independent data collectors agree
52
items
questions on a scale
53
member checks
QL, where the data and findings from analysis are brought back to participants to check accuracy
54
participation observation
QL method where researcher intentionally imbeds himself in environment where data is collected, and becomes a participant
55
reliability
the consistency with which a measure can be counted on to give the same result
56
rigor
a strict process of data collection and anlaysis, | the overall quality of QL research
57
scale
set of questions/statements intended to measure a specific variable
58
triangulation
using more then one data dource to include different views or to look at data from different angles
59
trustworthiness
honesty of the data collected
60
validity
how accuratley a measure yeilds information about the variable being studied
61
visual analgo
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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