Research Design Flashcards

Types of research design and their notation.

1
Q

One-shot case study

A

One group is studied one time, after some type of treatment. The notation is X O

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2
Q

One-group pre-test/post-test design

A

you have a single group, you test them for some level of functioning (pretest), you give some type of treatment and then you test them again on the same type of functioning (post test). Stanley and Campbell note that this type of research is widely used, but suffers from many different threats to validity. O X O

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3
Q

The static group comparison

A

This is where one group is compared against another group, but they are not randomized and there is no pretest, it is just a post test.

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4
Q

Pretest / post-test control group design

A

This is simply the same design as #2, but you add in a control group

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5
Q

Post-test only control group design

A

This is essentially design one with a control group and randomization

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6
Q

the non-equivalent control group design

A

In this design, both groups are given a pre-test and a post-test, but the two groups are not randomized(non-equivalent).

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7
Q

The separate sample pre-test/post-test design

A

For large populations, such as cities, factories, schools, and military units, it may often happen that although one cannot randomly segregate subgroups for differential experimental treatments, one can exercise something like full experimental control over the when and to whom of the O

Design 12

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8
Q

The separate sample pre-test/post-test control group (Design 13)

A

The same thing as the seperate sample pre-test/post-test but with the addition of a control group.

It is expected that Design 12 will be used in those settings in which the X, if presented at all, must be presented to the group as a whole. If there are comparable (if not equivalent) groups from which X can be withheld, then a control group can be added to Design 12, creating Design 13

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9
Q

The recurrent institutional cycle design (Design 15)

A

Air Force Academy Example

Done when there are institutional patterns that allow for systematic evaluation (ie cohorts in school). Is basically a mash up of two other designs, static group and single group pretest/posttest.

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10
Q

One group is studied one time, after some type of treatment. The notation is X O

A

One-shot case study

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11
Q

you have a single group, you test them for some level of functioning (pretest), you give some type of treatment and then you test them again on the same type of functioning (post test). Stanley and Campbell note that this type of research is widely used, but suffers from many different threats to validity. O X O

A

One-group pre-test/post-test design

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12
Q

This is where one group is compared against another group, but they are not randomized and there is no pretest, it is just a post test.

A

The static group comparison

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13
Q

This is simply the same design as #2, but you add in a control group

A

Pretest / post-test control group design

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14
Q

This is essentially design one with a control group and randomization

A

Post-test only control group design

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15
Q

In this design, both groups are given a pre-test and a post-test, but the two groups are not randomized(non-equivalent).

A

the non-equivalent control group design

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16
Q

For large populations, such as cities, factories, schools, and military units, it may often happen that although one cannot randomly segregate subgroups for differential experimental treatments, one can exercise something like full experimental control over the when and to whom of the O

A

The separate sample pre-test/post-test design

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17
Q

It is expected that Design 12 will be used in those settings in which the X, if presented at all, must be presented to the group as a whole. If there are comparable (if not equivalent) groups from which X can be withheld, then a control group can be added to Design 12, creating Design 13

A

The separate sample pre-test/post-test control group

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18
Q

Air Force Academy Example

A

The recurrent institutional cycle design

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19
Q

Notation for One-shot case study

A

X O

20
Q

Notation for One-group pre-test/post-test design

A

O X O

21
Q

Notation for The static group comparison

A
22
Q

Notation for Pretest / post-test control group design

A
23
Q

Notation for Post-test only control group design

A
24
Q

Notation for the non-equivalent control group design

A
25
Q

Notation for The separate sample pre-test/post-test design

A
26
Q

Notation for The separate sample pre-test/post-test control group

A
27
Q

Notation for The recurrent institutional cycle design

A
28
Q

X O

A

Notation for One-shot case study

29
Q

O X O

A

Notation for One-group pre-test/post-test design

30
Q
A

Notation for The static group comparison

31
Q
A

Notation for Pretest / post-test control group design

32
Q
A

Notation for Post-test only control group design

33
Q
A

Notation for the non-equivalent control group design

34
Q
A

Notation for The separate sample pre-test/post-test design

35
Q
A

Notation for The separate sample pre-test/post-test control group

36
Q
A

Notation for The recurrent institutional cycle design

37
Q

Internal Validity - Definition

A

Certainty that your results indicate the independent variable impacted the dependent variable.

EX: Maturation

38
Q

External Validity

A

The amount to which the results can be applied to other situations

39
Q

Independent Variable

A

The variable that is manipulated during the study.

40
Q

Dependent Variable

A

The variable we expect will change by manipulating the independent variable.

41
Q
A
42
Q

Certainty that your results indicate the independent variable impacted the dependent variable.

EX: Maturation

A

Internal Validity - Definition

43
Q

The amount to which the results can be applied to other situations

A

External Validity

44
Q

The variable that is manipulated during the study.

A

Independent Variable

45
Q

The variable we expect will change by manipulating the independent variable.

A

Dependent Variable

46
Q

Types of Internal Validity

A
  • History
  • Maturation
  • Testing
  • Instrumentation
  • Regression
  • Selection
  • Mortality
  • Interaction of Selection and Maturatio, etc
47
Q
A