class 8-9 Flashcards

(46 cards)

1
Q

research study design

A

blueprint or detailed plan for conducting a study

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

what is a design

A

-addresses the research problem in an appropriate way
-determines the degree of bias and/or control
-guides the researcher in planning and implementing a study

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

experimental (interventional) design

A

-experimental
-quasi-experimental

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

non-experimental (observational) design

A

-correlational
-descriptive
-comparative

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

design: time dimension
cross-sectional design

A

data collected at one point in time

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

design: time dimension
prospective design

A

data collected at one point and then again at future point(s)
may be longitudinal

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

design: time dimension
retrospective design

A

data collected and compared against previously collected data or in relation to something that occurred in the past

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

causality - design concepts

A

A causes B
relies on temporality being able to determine the independent variable occured/changed before the outcome

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

multicausality - design concepts

A

same as causality but A,C,D… causes B

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

manipulation - design concepts

A

-intentionally controlling/altering a condition or treatment (independent variable)
-must be consistent

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

bias - design concepts

A

distorts findings away from the truth
-researchers must attempt to eliminate or substantially reduce randomness & blinding

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

control - design concepts

A

keeping study conditions constant
-reduce bias
-improves accuracy of findings
-impacts generalizability

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

control can be applied to:

A

sample
setting
treatment/intervention
measurement
extraneous variables

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

design validity

A

-measure of truth or accuracy of a study

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

statistical conclusion validity

A

are the conclusions drawn from statistical analyses an accurate reflection of the real world

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

type 1 error statistical conclusion validity

A

incorrectly concluding that a difference or relationship exists

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

type 2 error statistical conclusion validity

A

incorrectly concluding that a difference or relationship does not exist

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

construct validity

A

-congruency between operational definitions and conceptual definitions
-to what degree do the instruments sued actually measure the variable being studied

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

threats to construct validity

A

-conceptual and/or operational definitions not clearly defined
-instrument selection

20
Q

internal validity

A

-is there another reasonable explanation for the study findings
-are the findings a true reflection of reality or the result of extraneous variables

21
Q

history - threats to internal validity

A

external events impacting subjects & data collected

22
Q

maturation - threats to internal validity

A

-changes within subjects over time that influence study findings

23
Q

testing - threats to internal validity

A

-effects of taking pre-test on post-test

24
Q

instrumentation - threats to internal validity

A

variables measured improperly

25
subject selection - threats to internal validity
-participants or groups differ from the population
26
mortality - threats to internal validity
participants/subjects dropping out
27
diffusion of treatment (imitation) - threats to internal validity
control group has access to treatment
28
external validity
-can the findings be applied to individuals/groups or contexts outside the study (generalizability)
29
selection bias - threats to external validity
limited generalizability to other populations (sample is not representative)
30
reactivity - threats to external validity
subjects alter their responses due to being studied (i.e. trying to make their answer what the researcher is looking for vs what they want to say)
31
measurement effects - threats to external validity
testing effects observer bias
32
problems with study designs
-inappropriate for purpose and/or framework -poorly developed -poorly implemented -inadequate treatment, sample, measurement methods
33
study purpose
is the researcher trying to -describe variables -examine relationships -determine differences -test a treatment
34
non-experimental quanitiative designs
-descriptive studies -correlational studies -comparative studies
35
experimental quanitative designs
experimental or quasi-experimental
36
descriptive studies
-collect detailed description of exisiting variables -assess current conditions -use data to identify problems, improve health care practices, develop theory, guide future research
37
typical descriptive design
clairifcation->measurement->description->interpretation->developement of hypothesis
38
correlational studies
explore relationships between or among variable provide deeper insight into a phenomenon
39
comparative studies
describes and compares variables in two or more groups
40
3 essential elements of experimental studies
-randomization -manipulation of independent variable -control
41
treatment protocols for experimental studies
-specify what the intervention will entail -who will recieve it -who will administer it, do they need training -when and for how long -what will the alternative/control be
42
common designs of experimental studies
-pretest - posttest -true experiment, classic experiment -randomized control trial(RCT) -posttest only -crossover
43
advantages of experimental studies
-more controls; design & conduct of study -increased internal validity; fewer threats -fewer rival hypotheses -more practical to implement -more feasible: resources, subjects, time, setting -sometimes more generalizable(comparable to practice)
44
quasi-experimental studies
researcher initiates experimental tratement but some characteristic of a true experiment is lacking (usually randomization)
45
common design in quasi-experimental designs
-nonequivalent control group pretest-posttest -nonequivalent control group post-test only -one group pretest-posttest
46
other quantitative studies
-outcomes reserach -methodological reserach -meta-analysis -secondary analysis -cohort studies -case control studies