Research Flashcards

(53 cards)

0
Q

Descriptive research

A

Observe and describe behavior without manipulating or controlling the situation, observations lead to hypotheses that can be tested at a later date

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1
Q

Correlational research

A

Examines the relationship between two or more behaviors or treats, determine if two behaviors vary in someway, does not show cause and effect

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2
Q

Experimental research

A

Establish if the independent variable causes the effect on the dependent variable

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3
Q

Quasi experimental research

A

When a research design does not meet other experimental requirements, most communicative disorders are quasi-experimental

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4
Q

Between subject research design

A

Performances of separate groups of participants are measured and compared between the groups, different groups are exposed to different treatments or levels of the independent variable e.g. Cross-sectional

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5
Q

Within subject research design

A

Performance of the same participants is compared and different conditions, everyone exposed to multiple conditions e.g. longitudinal

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6
Q

Mixed research design

A

Between groups and within subjects, one independent variable compares between subjects and the other independent variable compares within subjects

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7
Q

Single subject design

A

Participants evaluated as individuals rather than members of a larger group, criterion-referenced, AB design, ABA design, ABAB design

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8
Q

Multiple baseline design

A

Avoids disadvantages of treatment withdrawal, to prove cause-and-effect baselines must be independent of each other

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9
Q

Single factor studies

A

One independent variable

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10
Q

Multi factor studies

A

Many independent variables can be interaction effects

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11
Q

Cross sectional

A

Groups of people at some moment in time i.e. different age groups

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12
Q

Longitudinal

A

Measures the same group of people every five years to eliminate different histories

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13
Q

Internal validity

A

An experiment has internal validity if there is no other reason for the measured change in performance other than the change in the independent variable

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14
Q

External validity

A

The extent to which the results of the study can be generalized to other people, settings, measures, etc., study may be internally valid but results may not extend outside the parameters of the study

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15
Q

Threats to internal validity

A

History, maturation, reactive pretest, instrumentation, statistical regression, differential subject selection, mortality

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16
Q

Threats to external validity

A

Subject selection, interactive pretest, reactive arrangements, multiple treatment interference

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17
Q

History internal threat

A

Some external event happens that researcher was not aware of and could not have controlled for i.e. winning the lottery, 9/11

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18
Q

Maturation internal threat

A

Internal event that happens in the subjects themselves i.e. cognitive development, motor abilities

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19
Q

Reactive pretest internal threat

A

Taking a pretest can influence performance on post test, they learn the test

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20
Q

Instrumentation internal threat

A

Instruments need to be calibrated, but test ever is part of instrumentation as well and can influence the results

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21
Q

Statistical regression internal threat

A

Students to perform at extremes are likely to regress to the mean upon retest

22
Q

Differential subject selection internal threat

A

If subjects are different before the experiment and after, can’t assume the differences are due to the treatment

23
Q

Mortality internal threat

A

When you have more dropouts from one group than another

24
Subject selection external threat
Make sure subjects are an appropriate sample of the population you want to generalize
25
Interactive pretest external threat
Subjects will be affected by the pretest and some will not i.e. weighing someone for the pretest might make them aware of their weight and motivate them to diet
26
Reactive arrangements external threat
Subject may be reacting to their environment i.e. people know they're being watched
27
Multiple treatment interference external threat
If treatments are combined, there could be an interaction between the treatments
28
Independent variable
Manipulated by researcher, goes on X axis, values are chosen by researcher, minimum of two level/values, no maximum
29
Nominal measurement
Using numbers instead of names i.e. sports players jersey number
30
Ordinal measurement
Numbers have an order or rank, we don't know the distance between them i.e. first second third place
31
Interval measurement
Equal units i.e. temperature, no absolute zero, can have negative numbers
32
Ratio measurement
Intervals between numbers are the same and there is an absolute zero i.e. height, weight, age, no negative numbers
33
Dependent variable
Affected by the manipulation of the independent variable, outcome measure, goes on Y axis
34
Simple random sampling
Equal chance of being selected
35
Convenience sampling
Accidental sampling, selects participants from individuals who are available because of close geographical proximity or other reasons of convenience
36
Stratified sampling
Divides the target population into a number of non-overlapping subpopulations, such as geographical regions, then draws a random sample from each subpopulation
37
Participant selection criteria
Should develop a set of criteria for admission/exclusion in a research study
38
Systematic review
Qualitative way of looking at studies, analyzing threats
39
Meta-analysis
Combining data mathematically and quantifying results
40
Statistically significant
Not likely to have occurred by chance
41
Treatment efficacy
Works under ideal conditions
42
Treatment effectiveness
Will it work in the real world environment
43
PICO
Population, intervention, comparison treatment, outcome measurement
44
Test-retest Reliability
Tests reliability over time Same test is administered multiple times to the same group and scores are compared Scores should be stable
45
Split-half reliability
Scores from one half of the test correlate with results from the other half of the test Often done by splitting the test into odd and even questions
46
Alternate form reliability
Or parallel form reliability | Scores on test A and test B correlate
47
Face validity
The test looks like it assess the skill it claims to assess | Not a valuable measure because it does not look at content or outcomes
48
Content validity
Test's contents represent the content domain being assessed | Similar to face validity but judges the actual content of the test and not the appearance
49
Construct validity
A test measures a predetermined theoretical construct
50
Criterion validity
Established by use of external criterion, two types: concurrent and predictive
51
Concurrent validity
Test's validity in comparison to a widely accepted test
52
Predictive validity
Test's ability to predict performance in another situation or at a later time