Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Intro to Nursing Research > Exam 3 pt 2 > Flashcards

Exam 3 pt 2 Flashcards

You may prefer our related Brainscape-certified flashcards:
Nursing Pharmacology flashcards NCLEX-RN® flashcards Nursing Mental Health flashcards Nursing Fundamentals flashcards Nursing Safety & Infection flashcards Nursing Adult Health flashcards NCLEX-PN® flashcards Nursing Management of Care flashcards Nursing Pediatrics flashcards Nursing Maternity flashcards
1
Q

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

A

statistically significant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

when findings did not happen by chance alone

A

statistically significant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

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

A

level of significance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

when the results of the study could have occurred by chance

A

non significance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

findings that support the null hypothesis

A

non significance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

the probability of making a type 1 error

A

alpha level

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

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

A

alpha level

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

which type of alpha is more common

A

0.05

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

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

A

inferential statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

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

A

inferential statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

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

A

parametric statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

how confident are nurses about parametric statistic conclusions

A

high confidence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

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

A

non parametric statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

less powerful test used when all four conditions are NOT met

low confidence about conclusion

A

non parametric statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

low to high levels of measurement

A

nominal, ordinal, interval, ratio

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

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

A

nominal

21
Q

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

A

ordinal

22
Q

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

A

interval

23
Q

highest level of measurement

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

A

ratio

24
Q

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

A

generalizability

25
Q

improve studies because precision of sample selection is enhanced

A

sampling criteria

26
Q

characteristics that each element must possess to be included in the sample
clearly identify subjects of the study (ie/ age, ability to speak English)

A

Inclusion criteria

27
Q

characteristics of elements that will NOT be included in the sample
may decreased the risks of certain characteristics influencing results

A

exclusion criteria

28
Q

non probability sampling method in which elements are selected because they are easy to access

A

convenience sampling

29
Q

random sampling method of selecting elements from larger to smaller subsets of an accessible population
multi staging sampling

A

cluster sampling

30
Q

randomly selecting elements from the accessible population

A

simple random sampling

31
Q

most effective method to obtain representation sample

A

simple random sampling

32
Q

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

A

purposive sampling

33
Q

sampling method to recruit persons who could provide inside info

A

purposive sampling

34
Q

nonprobability sampling method involving selection of elements from an accessible population that has been divided into groups or strata

A

quota sampling

35
Q

sampling method in which elements in the accessible population have an equal chance of being selected for inclusion in the study

A

probability sampling

36
Q

3 conditions to meet for probability sampling

A

identifiable accessible population
sampling frame
use of randomization

37
Q

list of all possible elements in the accessible population

A

sampling frame

38
Q

recruitment of participants based on word of mouth or referrals from other participants

A

network sampling

39
Q

network sampling is also known as

A

snowball sampling

40
Q

describe sample sizes of qual an quant

A

qualitative studies have smaller sample sizes

41
Q

used to gather data about subjects at more than 1 point in time

A

longitudinal study

42
Q

what are the threats of longitudinal study

A

mortality, maturation, testing

43
Q

a statistical method to determine the acceptable sample size that will best detect the true effect of the independent variable

A

power analysis

44
Q

powerful, accurate method to determine sample size for quantitative studies

A

power analysis

45
Q

why are power analysis done

A

they ensure greater assurance that the sample size was appropriate for study
nurses can be confident applying findings to target population

46
Q

what are the two factors of power analysis

A

significance level and effect size

47
Q

alpha level established BEFORE beginning of study (common is 0.05=p)

A

significance level

48
Q

estimate of how large a difference will be observed between the groups

A

effect size

Intro to Nursing Research (7 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions