RESEARCH DESIGN Flashcards

1
Q

define internal validity

A

the soundness of a design

how strongly we can assert the changes in out DV to the IV

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2
Q

define external validity

A

how generalisable the findings are

how representative of the world are the findings

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3
Q

problem associated with internal vs. external validity

A

ensuring internal validity = means the potentially more artificial the study becomes = less externally valid

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4
Q

4 steps to internal validity

A

sound operationalisation of DV

strong experimental design logic

sound operationalisation of IV

consideration and used of appropriate remedies to control for extraneous variables

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5
Q

manipulation of the IV:

define experimental manipulation

A

participants allocated to an IV condition by the experimenter

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6
Q

manipulation of the IV:

define individual differences manipulation

A

a characteristic of the participant determines the level of the IV which they are tested

not strictly experimental

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7
Q

what are the study designs

A
Repeated measures (within groups)
- each participants tested at each level of the IV

Between groups: each participant tested at only one level of IV

Factorial: more than one IV

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8
Q

strengths of a factorial design

A

more than one IV allows for more precise hypotheses

control of extraneous variables by including as an IV

ability to determine the interactive effect of two or more independent variables

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9
Q

weaknesses of a factorial design

A

using more than two independent variables may be logistically cumbersome

higher-order interaction are difficult to interpret

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10
Q

what is separation and how is it achieved?

A

maximising the variation between groups

achieved by operationalisation of the IV

  • need min. 2 IVs
  • levels need to be distinctly separate
  • additional intermediate levels can then be added to identify curvilinear impacts
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11
Q

what is compression and how is it achieved

A

minimising the variation within groups

achieved by controlling extraneous variables

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12
Q

what are the two forms of extraneous variables

A

noise creating

Confounding

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13
Q

what are noise creating variables

A

extraneous variable that have:
no relation to the IV
but can randomly impact the DV to create extra variation in DV

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14
Q

what are confounding variables?

A

extraneous variables that

  • systematically impact the DV
  • related to the IV
  • potentially explain changes in DV that would be expected from the IV
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15
Q

how can confounds be controlled for

A

eliminate impact by keeping the variable constant

or building it into the study to measure its impact

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16
Q

what is the trouble with between group designs

A

two separate groups&raquo_space; participant groups that can differ in any way both relevant and irrelevant to the study

need to make the groups as similar as possible

17
Q

the issue of between groups design is addressed by…

A

selection - the process of assigning individuals to an experimental group

matching - equating participants in groups on specific variables

18
Q

what are the different methods of selection

A

self-assignment - participant select group

experimenter-assignment - experimenter selects group

Arbitrary assignment - based on seemingly irrelevant criteria

random assignment

19
Q

what are the pros of random assignment

A

ensures every member has an equal change of being assigned to either group

max insurance that groups are equal

eliminated systematic group differences

does not eliminate extraneous variables but randomly distributes them

20
Q

what is matching

A

using different techniques to equate participants in the groups on specific variables

should be done with variables thought to be related to/ confound the IV

e.g. intelegence, age, gender

21
Q

what are the two styles of matching

A

individual matching

distribution matching

22
Q

pros and cons of individual matching

A

PRO
- groups equate on potential extraneous variables

CON

  • hard to identify what variables to match on
  • more variables to match on = harder to match participants
  • decreases generalisability of results
23
Q

what is blocking

A

building an EV into the design

  • makes the EV another IV in the study
  • should only be used when you are interested in the effect of the EV
24
Q

whats the PROS with repeated measures designs

A

Eliminate problem of group differences - major error source removed

require fewer participants to have good statistical power

25
Q

whats the problem with repeated measures designs

A

repeated measures can lead to sequencing effects

  • order effects
  • carry over effects
26
Q

what are the two order effects

A

practice effect
- when DV is based on performance (e.g. reaction time) improvement can be due to practice rather than the IV

Fatigue effect
- repeated completion of DV measure can lead to boredom or tiredness

27
Q

solution for order effects…

A

counter balancing

  • break sample into subsets to experience different conditions in different orders
  • then bring all data together to counteract sequencing effect
28
Q

different counter balancing procedures…

A

randomised

intra-subject - undergo all possible

complete - all possible used, undergo one

incomplete - formulated sequence

29
Q

what are the two carry over effects

A

simple - performance on DV in a condition is contaminated by he effects of the previous condition

differential - when carry-over effect of one condition differ depending on the order of condition completion

30
Q

why is counter balancing not always possible

A

some RM conditions or levels don’t allow for counter balancing

e.g. time as IV - DV is measured at different points in time

31
Q

issue of maturation as a carry over effect in time

internal event

A

changes due to natural development.improvement over time

must question whether improvement over time is form IV or naturally occurring

32
Q

issue of history as a carry over effect in time

A

external events that effect participants during study

socio-historical-economic changes relevant to DV

33
Q

what is statistical regression as a carry over effect in time

A

the tendency to move up or down towards the mean over time

likelihood of regressing to the mean (from above or below par) over repeated measures

34
Q

mortality as a carry over effect in time

A

not all participants who participate in the first measure will endure the whole duration of the study

common in longitudinal studies