Quantitative Research: Group Design Flashcards

1
Q

Group Design

A

Quantitative data, obtained through a group of subjects, determine cause-effect relationship or descriptive association between variables use 1) within subject, 2) between subject, and 3) mixed design.

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2
Q

Group Design- broad classification

A

1 or more groups of subjects, exposed to 1 or more levels of IV, driven by research question, choose in regards to a certain criteria

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3
Q

Single-subject design- broad classification

A

Focus on behavior of individual subjects, sometimes more than 1 subject examined, summarize individual performance on dependent variable.

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4
Q

Between-subjects design

A

performances of seperate groups measured, groups exposed to diff treatments/levels of IV, performance of DV compared with groups.

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5
Q

control group

A

does not receive tx, gives ability for researchers to compare results, helps most with COMPARISON

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6
Q

experimental group

A

IV is implemented (experimental tx implemented)

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7
Q

bivalent

A

2 groups (1 exp and 1 control)

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8
Q

multivalent

A

more than 1 exp group (diff. IV or diff. levels of IV) class example- freq of treatment and length of session.

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9
Q

Group equivalence

A

ensuring difference between EG and CG is effect of IV and not due to difference btw subjects in both groups

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10
Q

Randomization and Matching

A

Randomization: each particpant equal chance/probability of being assigned to one group or the other (best option because no research bias, balanced, but need a lot of people, 2 groups may not always be equivalent but research bias is reduced)
Matching: purposefully match members of 2 groups on all extraneous variables, 2 groups equivalent with respect to extraneous variables

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11
Q

Within-subject design

A

only 1 group, performance of same subjects on different conditions/levels of IV, repeated measures, subject serves as his/her control- evaluating effect of condition, requires less participants, all subjects are exposed to all levels of the IV (ex. longitudinal developmental studies. EQUIVALENCE is not a concern but there are 3…

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12
Q

3 concerns for within-subject design

A

sequencing effect, order effect, and carryover effect,

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13
Q

Sequencing Effect

A

several levels of the IV, performance in an earlier condition may influence performance on a subsequent level

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14
Q

Order Effect

A

performance +/- occur btw the beginning and end of the experiment, familiarity with tasks may influence performance

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15
Q

Carryover Effect

A

result of 1 condition may carry over to the next condition (because completed 1 task, could do better on others)

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16
Q

Counterbalancing

A

Experimenter arranged all possible sequences of condition and randomly assigns participants. (EPD, EDP, PED, PDE, DEP, DPE,)

17
Q

Longitudinal Study

A

following same participants for period of time

18
Q

Correlational Study

A

Diff measure obtained from same group of participants, determine relationship btw variables

19
Q

Mixed Design

A

Both types of comparisons in same study- both WSD and BSD. design driven by research question

20
Q

Single-group Design

A

presence of a single group, in two or more conditions, sometimes weak- no control group usually, ex- WSD

21
Q

2-group design

A

observations of 2 groups of participants, usually assigned different levels of the IV (Tx A and Tx B)
Parallel design- 2 groups, participants are assigned to 1 of 2 groups, can be control or experimental or both tx.
cross-over design- 2 groups, participants alternate btw tx/control. each participant is their own control (more economical, less # of participants, risk of attrition)

22
Q

Experimental Design

A

control group and randomization

23
Q

Quasi Experimental Design

A

naturally occuring, no randomization but match them instead,

24
Q

Internal Validity

A

Accounting for and controlling factors- (does this research answer posed questions? or provide credible evidence)
degree tp which relationship btw IV and DV is observed without the influence of extraneous variables,
control of randibility
confounding/extraneous variable (other factor which can influence extra factor)

25
Q

External Validity

A

how much can we generalize this results? extend to other stroke patients with dysphagia?
the ability of study to extend conclusions from specific environment to other individuals with similar conditions.

26
Q

Threats to internal validity

A

history, maturation, reactive pretest, instrumentation, differential subject selection, attrition, statistical regression, Researcher bias

27
Q

History

A

events occuring btw 1st and 2nd measurement in addition to experimental variable

28
Q

Maturation

A

changes in subjects- can’t be controlled by experimentor, account for neurological development, cognitive changes that could have accounted for language performance

29
Q

Reactive Pretest

A

practice, familiarity, reduction of test anxiety, counterbalance tests, time to account for change,

30
Q

Instrumentation

A

faulty, inadequate, calibration of equipment, assessed- method section, tools- rating scales, standardized language tests, adequacy of the survey instrument, detailed description of instrumentation- calibration techniques employed,

31
Q

Differential Subject Selection

A

differences in subjects between groups, subject randomization, matching,

32
Q

Attrition

A

experimental mortality (start with 5 to 10 more particpants than needed)
differenctial loss of subjects,
very common in survey research

33
Q

Statistical Regression

A

participants selected on basis of atypical low or high scores, incorrect conclusion - tx produced change but really just regression, scores seems somewhat better or poorer than original, error of measurement, one should have good mix towards means,

34
Q

Researcher Bias

A

subjectivity and bias, member checks, summary of points, triangulation (not just using one type of method)

35
Q

External Validity

A

ability to generalize results to bigger population with similar condition results from sample can be extended to the population.

36
Q

Threats to external validity

A

subject selection- characteristics of participants, representative of population to which researchers would like to generalize
independent variable- describe IV- describe levels as well, ensure replication, experimenter effects,
measurement of dependent variable- operational definition, clear definition (what do I mean by dysphagia? what are the characteristics?)

37
Q

Pilot Research

A

small # of participants, trial run to ensure feasibility of methods, discover flaws, ensure no major surprises, details