checklist research and applications
TRANSCRIPT
Dr. Debdulal Dutta Roy, Ph.D
Psychology Research Unit
INDIAN STATISTICAL INSTITUTE
Kolkata - 700108
24.8.17
INDIAN INSTITUTE OF PSYCHOMETRY
•Characteristics
•Relation with
Questionnaire
•Checklist
construction
•Application of
checklist in Task
taxonomy and
Psychiatric
classification
A checklist is a list of all the things that you need to do, information that you want to find out, or things that you need to take somewhere, which you make in order to ensure that you do not forget anything (Collins dictionary).
A list of things that you must think about, or that you must remember to do (Cambridge English dictionary).
Checklist for Pre-case history taking
Identification code
Co-operative
Non-cooperative
Able to communicate
Site selected
Informant available
CHECKLIST
Items are independent or uncorrelated.
Items are discrete.
Responses are non-metric.
Scoring is possible through data transformation.
Checklist can be used to identify critical constructs for questionnaire development.
QUESTIONNAIRE
Items are correlated.
Items are summed and scored.
Responses are metric, quassi-continuous.
It can be scored easily.
One questionnaire findings can be used for construction of other questionnaire.
SWOT analysis and If-Then logic
HIV checklist
Read-Do checklist
MMSE
Confirm-Do checklist
Surgery checklist
Decision making checklist
Pros-Cons checklist
Read-Do
Pros and Cons list might only help justify a decision you have already made, it does provide an organized way to get your thoughts down on paper. That process alone can be a stress reliever for some people. You can also have someone else review your list to offer a second opinion, because sometimes we may be too emotionally involved to make an objective decision on our own.
Task-Taxonomy is the specific job related task
classification.
It provides insight about specific aptitude tests to be
developed.
It provides knowledge about possible weights to
specific task factor in selection, training and
placement.
Wage determination can be determined by using task
taxonomy data.
It can give knowledge about which individual
characteristics are to be accounted in questionnaire
construction instead of random variables.
D. Dutta Roy, ISI., Kolkata, 23.8.17
1. Comprehending users' problem
2. Converting specifications into detailed instruction
3. Drawing Program Flowchart
4. Coding into Computer languages
5. Preparing instruction for operator
6. Testing and correcting program
7. Modifying program
8. Entering data
9. Documenting program
10.Supervising juniors
11. Assisting other programmers
12. Designing computer configuration for users
13. Writing simple program to retrieve data
14. Collaborating with computer manufacturer
Based on Role playing, Observation and
informal interview
Inapplic
able
Occasio
nally
Small
part
Moderatel
y part
Substatial
part
Significa
nt part
1. Comprehending users'
problem
3 1 11 11 46 122
2. Converting specifications into
detailed instruction
13 9 18 39 65 57
3. Drawing Program Flowchart 14 29 36 43 30 49
4. Coding into Computer
languages
12 9 17 30 43 90
5. Preparing instruction for
operator
13 13 54 36 52 33
6. Testing and correcting
program
4 3 6 31 56 101
7. Modifying program 3 9 20 50 58 61
8. Entering data 59 48 33 29 16 16
9. Documenting program 11 24 33 53 46 34
10.Supervising juniors 36 10 35 41 43 36
11. Assisting other
programmers
19 29 38 55 42 18
12. Designing computer
configuration for users
50 38 28 26 30 39
13. Writing simple program to
retrieve data
11 37 38 41 42 32
14. Collaborating with computer
manufacturer
88 43 30 19 10 11
Total 336 309 397 504 579 699
From the biplot it can be seen that out of 14
tasks three tasks namely, Coding into
Computer languages, Testing and correcting
program and Comprehending users' problem,
are more important. Whereas, Collaborating
with computer manufacturers was
inapplicable assuming that it is a job of
liaison officer. Therefore aptitude tests for
last 3 tasks are to be prepared.
63.8
41.5
9.6 10.8
25.2 3
0.4
8.5 1
1.3
49.2
15.2
36.3
27.1
28.8 3
5.2
28.8
0
10
20
30
40
50
60
70
Complaints Number (n) Percentage (%)
SOMATIC CONCERN 306 63.8
ANXIETY 199 41.5
EMOTIONALWITHDRAWL 46 9.6
CONCEPTUAL DISORGANIZATION
GUILT FEELING
TENSION
MANNERISM
GRANDIOSITY
DEPRESSION
HOSTILITY
MOTOR RETARDATION
SUSPICIOUSNESS
HALLUCINATION
UNUSUAL THOUGHT CONTENT
BLUNTED AFFECT
EXCITEMENT
51
120
145
40
54
236
72
46
174
130
138
168
138
10.8
25.2
30.4
8.5
11.3
49.2
9.6
15.2
36.3
27.1
28.8
35.2
28.8
Correspondence map of 16 complaints
Input Table (Rows x Columns): 30 x 30 (Burt Table)
Dimension 1; Eigenvalue: .33318 (33.32% of Inertia)
Dim
en
sio
n 2
; E
ige
nva
lue
: .1
41
49
(1
4.1
5%
of In
ert
ia)
SOMATCOM:0
SOMATCOM:1
ANXCMP:0
ANXCMP:1
EMWDLCMP:0
EMWDLCMP:1
CONDOCMP:0
CONDOCMP:1
GUILTCMP:0
GUILTCMP:1
TENSCMP:0
TENSCMP:1
MANCMP:0
MANCMP:1
GRANDCMP:0
GRANDCMP:1DEPMDCMP:0
DEPMDCMP:1
HOSTCMP:0
HOSTCMP:1 SUSPICMP:0
SUSPICMP:1
HALLUCMP:0
HALLUCMP:1
UNTHCCMP:0UNTHCCMP:1
BLUAFCMP:0
BLUAFCMP:1
EXCITCMP:0EXCITCMP:1
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5
Correspondence map of psychiatric classification and complaints
Input Table (Rows x Columns): 54 x 54 (Burt Table)
Dimension 1; Eigenvalue: .22772 (22.77% of Inertia)
Dim
en
sio
n 2
; E
ige
nva
lue
: .1
14
54
(1
1.4
5%
of In
ert
ia)
ANXCLS:0
ANXCLS:1
SOMATCLS:0
SOMATCLS:1
CONVCLS:0
CONVCLS:1
NEUDEPCL:0
NEUDEPCL:1
OCDCLS:0
OCDCLS:1
HYCHOCLS:0
HYCHOCLS:1
PHOBCLS:0
PHOBCLS:1
SCHIZCLS:0
SCHIZCLS:1MANICCLS:0
MANICCLS:1
PSYDEPCL:0
PSYDEPCL:1
PDDCLS:0
PDDCLS:1
STRECLS:0
STRECLS:1
SOMATCOM:0
SOMATCOM:1
ANXCMP:0
ANXCMP:1
EMWDLCMP:0
EMWDLCMP:1
CONDOCMP:0
CONDOCMP:1
GUILTCMP:0
GUILTCMP:1
TENSCMP:0
TENSCMP:1
MANCMP:0
MANCMP:1
GRANDCMP:0
GRANDCMP:1DEPMDCMP:0
DEPMDCMP:1
HOSTCMP:0HOSTCMP:1SUSPICMP:0
SUSPICMP:1
HALLUCMP:0
HALLUCMP:1
UNTHCCMP:0UNTHCCMP:1
BLUAFCMP:0
BLUAFCMP:1
EXCITCMP:0EXCITCMP:1
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5
Psychotic
disorders Neurotic disorders
Misc
lassific
atio
n
