6: small n designs Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

small n research (idiographic/ morphogenic)

A

Each subject = separate experiment

Use of within-subject designs

Presented data: individual subjects

Comparisons between subjects

Reliability is assessed by replication (repetition)

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

where is the small n approach useful?

A

Assumption of minimal biological or psychological variability

*Much of neuroscience
*Psychophysics
*Cognitive and behavioural neuroscience
*Human clinical neuropsychology/neurology
*Clinical psychology
*Animal learning and cognition (tradition?)

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

what is the small n approach useful

A
  1. Constraints: availability, convenience
  2. No need for generalization
  3. Assumption of low biological variability
  4. Interest in a very small layer of the population
  5. Need to understand the process in time
  6. Detailed comparison of subjects
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

key principles in small n research

A

Consistent level: magnitude of treatment effects.

Consistent trend: unidirectional changes.

Stability: consistent level or consistent trend.

Search of temporal patterns: time series (analyses).

Search of spatio-temporal patterns: sequential analysis of
behaviour. Serial configuration of events and actions in time.

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

what is the principle of experimental research

A

replication

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

why does small n or single subject research work

A

Large number of observations per subjects: fluctuations average out.

Factors that can contribute to variability are controlled in a strict manner.

Focus on “powerful” variables with a clear effect: Effect sizes.

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

problems with small n research

A

Similar problems as for within-subject designs
*Irreversible changes in the behaviours of the subjects induced by the experimental procedures.

Weak effects (from the IV) on the DV.

Unstable DV’s despite strong experimental control:
*Uncontrolled variables
*Extraneous variables

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

types of designs

A

baseline designs

dynamic designs

discrete trial designs

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

what are baseline designs

A

Typically what researches refer to when mentioning “single-subject designs”.

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

types of dynamic designs

A

Good for moment-by-moment changes in behaviour

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

what are discrete trial designs

A

Good for a focus on performance of individual subjects (e.g., psychophysics).

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

issue to keep in mind with baseline designs

A

reliability&raquo_space;> would replication produce same (or very similar) results

The behaviour is analysed based on both within and between experimental treatments data.
* No averaging of the data!

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

what is the baseline phase

A

Behavioural baseline needs to be established until a
stability criterion is reached.

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

what is the experimental or intervention phase

A

expose the subject to each
treatment, until criterion is reached. Then repeat.

ABA(B) designs: baseline - treatment - baseline (- treatment).

This is an intra-subject replication where subjects are their own control(s) (as in group within subject designs)&raquo_space;> internal validity.

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

reversal strategy in baseline designs

A

ABA(B) = reversal strategy. You expect to “recover” the original baseline (A) after the treatment (B).

Data from the baseline and treatment conditions are compared for statistically significant differences.

If you run more than one subject (small-n design), you can provide inter-subject replication&raquo_space;> external validity. Typically 3 to 6 subjects.

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

typical issues with baseline designs

A

Stability criterion

Uncontrolled variability or variation

Irreversible baselines.

17
Q

what is the stability criterion

A

choice is “subjective” or based on previous research / pilot study.

  • Removes “transitional” data (unless relevant).
  • Fixed time or trials: Give a time-limit to reach crit
18
Q

what is uncontrolled variability or variation

A

unstable, drifting baselines. Caused by extraneous variables

19
Q

what are contrast approaches according to bordens and abbott

A

“The group approach assumes that if experimental controls fail to reduce uncontrolled variation, then statistical methods should be used to control it. The single-subject approach assumes that if experimental controls fail to reduce uncontrolled variation, then one should endeavour to identify extraneous variables responsible for it and bring them under experimental control.” (Bordens and Abbott, 2008, page 355).

20
Q

types of replication

A

exact or direct replication

systemic replication

21
Q

what is exact or direct replication

A

part of the single-subject procedures

22
Q

what is systematic replication

A

above and beyond that procedure

23
Q

problems with baselines

A

drifting baselines

unrecoverable baselines

unequal baselines between subjects

inappropriate baseline levels

24
Q

what are drifting baselines

A

slow, systematic changes

25
Q

what are unrecoverable baselines

A

reversal does not work due to carryover effects

26
Q

what are unequal baselines between subjects

A

individual differences in baseline levels

27
Q

what are inappropriate baseline levels

A

Low baseline good unless data has a floor effect, or high baseline good unless data has a ceiling effect.

28
Q

what are some single subject baseline designs

A

single factor designs

multifactor designs

multiple-baselines designs

29
Q

what are single factor designs

A

Single independent variable. AB (necessary if irreversible changes are present), ABA or ABAB designs

30
Q

what are multifactor designs

A

Two or more independent variables. E.g., melatonin + bright light

31
Q

what are multiple-baselines designs

A

Several dependent variables. E.g., polygraph.

32
Q

what are dynamic designs and why are they good

A

Transitional processes and behaviours are crucial and measured.

Excellent to measure behavioural/process dynamics.

Useful also for continuous variations of the independent variable.

The dependent variable is typically continuous.

These designs are often called “time series” designs.

33
Q

examples of dynamic designs

A

Handwriting behaviour and stress/anxiety
* IV: stress condition, then non-stress condition

Galvanic skin response and stress/anxiety
* IV: questions, sequentially presented

34
Q

what are discrete trial designs

A

Subjects receive each treatment conditions many times (dozens,
hundreds of times) = trial = datum (one data point).

Extraneous variables are strictly controlled.

Randomized or counterbalanced presentation of treatments (conditions).

Inter-subject variation is often analyzed: comparisons between subjects.

35
Q

what is sequential analysis

A

Also called “sequential hypothesis testing”.

The sample size is not fixed in advance: sequential estimation is used.

Data are evaluated as they are collected.

Sampling is stopped in accordance with a pre-defined stopping rule as soon as significant results are observed and/or a quota “N” is attained

36
Q

Advantages of sequential analysis and when is it useful

A

Advantage: Potentially economical (subjects, time, money), but also seeking to attain a “n” that could lead to statistical significance.
*Conclusion can be reached earlier than with common hypothesis testing principles.

Often used in clinical trials (biomedical research).

Useful if subject availability is a concern.

Compromise between idiographic and nomothetic research

37
Q

Procedure: Let’s assume 2 completely randomized (independent group) trials:

If n subjects in each group are available, an interim analysis is conducted on the 2n subjects.

A statistical analysis is performed to compare the two groups, and if the alternative hypothesis is accepted (i.e., the groups are different), the trial is
terminated

what happens if the alternative hypothesis is not accepted

A

Otherwise, the trial continues for another 2n subjects, with n subjects per group. The statistical analysis is performed again on the 4n subjects. If the alternative hypothesis is accepted, then the trial is terminated. Otherwise, it continues with period evaluation until N of the 2n subjects are available.