Brainscape's Knowledge GenomeTM

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


See full index

EBP > Week 5 quiz > Flashcards

Week 5 quiz Flashcards

1
Q

quantitative research

A

explains conclusions by collecting numerical data that are analyzed using statistics

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

control

A

ability to manipulate, regulate, or statistically adjust for factors that can affect the DV

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

manipulation

A

treatment, implementation or IV in a study to determine it’s effect on the DV

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

bias

A

influence that distorts the results of the study

-identify possible sources of bias is critical
-randomization and binding

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

randomization

A

true experimental studies include some type of random sampling

-ensures equivalence of groups, eliminates key threat to internal validity

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

random sampling

A

each person in population has an equal chance of being selected

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

random assignment

A

equal change of being assigned to treatment or control group

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

single bind

A

participants do not know which study group they are in

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

double bind

A

binding both experimenters and participants

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

experimental research

A

(true) experimental research
quasi - experimental research

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

non-experimental research

A

observational , no manipulation
correlational / descriptive research

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

experimental design (randomized control trials)

A

examines differences b/t treated and untreated subjects

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

experimental design MUST include

A

manipulation
control
randomization

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

experimental design characteristics

A

-large number of participants from diverse areas
-strict guidelines for study inclusion
-random group assignment
-homogeneity b/t intervention and control
-consistent implementation
-same DV is measured in intervention and control group

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

experimental design strength

A

powerful in examining cause and effect relationship

-level II evidence

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

experimental design weakness

A

may be complicated to develop and expensive
difficult or impractical for certain clinical settings b/c of ethics

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

quasi experimental characteristics

A

-manipulation of IV
-lack of randomization or control
-practical, less expensive, generalizable
-more adaptable to real world setting
-level III evidence

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

nonexperimental design

A

-IV is NOT manipulated
-subjects are not random
-no control
-cannot make claims on cause and effect

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

nonexperimental use

A

describe phenomenon in detail
explaining or predicting relationships

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

longitudinal designs

A

gather data about subjects at more than one point in time

-experimental OR non-experimental
-prospective OR retrospective

21
Q

longitudinal strengths

A

assess change in variables overtime

22
Q

longitudinal weakness

A

-data collection may take a long time
-testing effects may be a threat
-mortality is a significant threat owing to the increased potential for attrition

23
Q

cross-sectional design

A

collects data about IV and DV at the same time
-difficult to determine cause and effect
-non-experimental

24
Q

cross sectional strengths

A

-less time consuming and expensive
-large amounts of data can be collected at one point
-confounding variable of maturation resulting from elapsed time

25
Q

cross sectional weakness

A

interrelationships not established

26
Q

data collection plan

A

set timeline
-one point or repeated measures ?
-most likely to be available
determine data collection methods
-questionnaires
-observation
-scales
develop data management plan

27
Q

data analysis process

A
  1. prepare the data and enter into computer
  2. clean data file
  3. run descriptive statistics
  4. run inferential stats to test hypothesis
28
Q

categorical measurement

A

nominal and ordinal

29
Q

nominal

A

different in name only
-cannot rank or order

30
Q

ordinal

A

can be ranked or ordered but still in categories

Mild
Moderate
Strong

31
Q

continuous measurement

A

interval and ratio

32
Q

interval

A

fixed unit of measurement without a meaningful zero

degrees
fahrenheit

33
Q

ratio

A

fixed unit of measurement WITH meaningful zero

dollars
age
years of education

34
Q

levels of measurement

A

ratio
interval
ordinal
nominal : weakest

35
Q

statistical analysis

A

descriptive statistics and inferential statistics

36
Q

descriptive statistics

A

explain characteristics of variables

-numbers that summarize data

37
Q

mode

A

most frequently occurring value in data set

38
Q

median

A

center of data set

39
Q

mean

A

mathematic average

40
Q

standard deviation

A

square root of variance

41
Q

range

A

difference b/t two extreme scores

42
Q

percentage

A

number or ratio expressed as fraction of 100

43
Q

inferential statistics

A

makes predictions about population based on a sample

44
Q

purpose of inferential stats

A

test hypotheses
make decisions about whether findings can be applied to population

45
Q

null hypothesis

A

opposite of what you’re testing

46
Q

alternative / research hypothesis

A

claim / expected results you’re testing

47
Q

alpha

A

significance level
need to identify before running statistics

48
Q

P value

A

probability value
probability of obtaining results at least as extreme as the result actually observed under assumption null hypothesis is correct

49
Q

stats clinical use

A

analyze research collected by nursing staff
reading and critiquing published research
examining outcomes of nursing process
evaluation
examination of admin data
demonstrating a problem or need

EBP (6 decks)

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