Exam 3 pt 2 Flashcards

(48 cards)

1
Q

when critical values fall in the tails of normal distributions
usually 2 standard deviations from the mean

A

statistically significant

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2
Q

when findings did not happen by chance alone

A

statistically significant

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3
Q

adjusting to the risk of making type 1 and type 2 errors

A

level of significance

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4
Q

when the results of the study could have occurred by chance

A

non significance

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5
Q

findings that support the null hypothesis

A

non significance

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6
Q

the probability of making a type 1 error

A

alpha level

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7
Q

typically designated as 0.05 or 0.01 at the end of the tail in a distribution

A

alpha level

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8
Q

what are the implications of alpha level 0.05

A

when alpha is 0.05, it is likely that 5 out of 100 times the researcher will make a type 1 error and wrongly reject the null hypothesis

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9
Q

what are the implications of alpha level 0.01

A

when alpha is 0.01, researcher will make type 1 error only 1 time out of 100

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10
Q

which type of alpha is more common

A

0.05

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11
Q

collection an presentation of data that explain characteristics of variables found in the sample
summarize, describe and synthesize collected data

A

descriptive statistics

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12
Q

analysis of data as the basis for prediction related to the phenomenon of interest

A

inferential statistics

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13
Q

used to make inferences and draw conclusions about a population based on a sample
develop population parameters

A

inferential statistics

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14
Q

inferential statistical tests involving interval or ration level data to make inferences about the population

A

parametric statistics

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15
Q

what are the specific conditions that must be met to be parametric statistics

A

1) use of probability sampling
2) normal distribution of data
3) measurement of variables at interval and ratio level
4) reduction of error

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16
Q

how confident are nurses about parametric statistic conclusions

A

high confidence

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17
Q

inferential statistics involving nominal or ordinal level data to make inferences about the population

A

non parametric statistics

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18
Q

less powerful test used when all four conditions are NOT met

low confidence about conclusion

A

non parametric statistics

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19
Q

low to high levels of measurement

A

nominal, ordinal, interval, ratio

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20
Q

lowest level of measurement
data are categorized simply into groups
categorical data

21
Q

continuum of numeric values where intervals are not meant to be equal

22
Q

continuum of numeric values with equal intervals that lacks an absolute zero

23
Q

highest level of measurement

numeric values that begin with an absolute zero and have equal intervals

24
Q

extension of research findings and conclusions from a study conducted on a sample population to the general population

A

generalizability

25
improve studies because precision of sample selection is enhanced
sampling criteria
26
characteristics that each element must possess to be included in the sample clearly identify subjects of the study (ie/ age, ability to speak English)
Inclusion criteria
27
characteristics of elements that will NOT be included in the sample may decreased the risks of certain characteristics influencing results
exclusion criteria
28
non probability sampling method in which elements are selected because they are easy to access
convenience sampling
29
random sampling method of selecting elements from larger to smaller subsets of an accessible population multi staging sampling
cluster sampling
30
randomly selecting elements from the accessible population
simple random sampling
31
most effective method to obtain representation sample
simple random sampling
32
nonprobability sampling method used in quantitative studies used to select a distinct group of individuals who either have lived the experience or have expertise about the experience being studies
purposive sampling
33
sampling method to recruit persons who could provide inside info
purposive sampling
34
nonprobability sampling method involving selection of elements from an accessible population that has been divided into groups or strata
quota sampling
35
sampling method in which elements in the accessible population have an equal chance of being selected for inclusion in the study
probability sampling
36
3 conditions to meet for probability sampling
identifiable accessible population sampling frame use of randomization
37
list of all possible elements in the accessible population
sampling frame
38
recruitment of participants based on word of mouth or referrals from other participants
network sampling
39
network sampling is also known as
snowball sampling
40
describe sample sizes of qual an quant
qualitative studies have smaller sample sizes
41
used to gather data about subjects at more than 1 point in time
longitudinal study
42
what are the threats of longitudinal study
mortality, maturation, testing
43
a statistical method to determine the acceptable sample size that will best detect the true effect of the independent variable
power analysis
44
powerful, accurate method to determine sample size for quantitative studies
power analysis
45
why are power analysis done
they ensure greater assurance that the sample size was appropriate for study nurses can be confident applying findings to target population
46
what are the two factors of power analysis
significance level and effect size
47
alpha level established BEFORE beginning of study (common is 0.05=p)
significance level
48
estimate of how large a difference will be observed between the groups
effect size