week 3 - selection of items Flashcards

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1
Q

item analysis table

A

each column represents an item (a,b,c,d)
each row represents a respondent (1,2,3,4)

knwoledge based: insert a 1 in each cell for which the respondent answered correctly and a 0 for incorrect
- then add up all the scores to give total score for each row

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2
Q

facility index

A

indication of the extent to which all respondents answer an item in the same way
- means items are redundant and should get rid of them

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3
Q

item difficultu

A

implicit notion of right or wrong and suggets this estimate would only be appropriate for knowledge based tests
- this exists for all tests

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4
Q

facility index for person based questionaires

A

calculated by dividing number or respondents which obtain correct response for an item by the total number of respondents

ex. let’s say we have 100 people write a test
and for a specific item, 70 obtain the correct response.
Then the facility index would be calculated as 70/100 =
0.70

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5
Q

meanings of facility indexes

A

facility index for each item should lie between 0.25 and 0.75, averaging 0.5 for the entire questionnaire

less than 0.25 indicates the item is too difficult
more than 0.75 shows the item is too easy

facility index should be higher than chance

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6
Q

Calculating optimal difficulty

A

= ( 1 + chance) / number of options

ex. true/false time (2 options, chance 0.5)

optimal difficulty = (1 + 0.5) / 2 = 1.5/2 = 0.75

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7
Q

facility index for person based

A

summing the scores for the item for each respondent, then dividing this total by the number of respondents

  • If the facility index is 2 in a four option item due to everyone selecting option 2, then the item is not useful as everyone is selecting the same choice
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8
Q

Discrimination

A

ability of each item to discriminate among respondents according to whatever the questionnaire is measuring

  • Items should be selected if they measure the same
    knowledge or characteristic as the other items in the
    questionnaire
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9
Q

how is discrimination measured

A

correlating each item with the total score from summing all the other items in the questionnaire

  • min. 0.20 is considered acceptable
  • Items with negative or zero correlations are always
    excluded
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10
Q

item characteristic curve

A
  • visual approach to examining discrimination
  1. break the total score into a number of bins
  2. identify the proportion of correct responses on a given item in each bin
  3. connect dots and hope to see for a given item - as we move up in bins we will see proportion increasing
  • Flat items would indicate a 0 correlation
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11
Q

ICC Matrix

A
  • a tool to plot both difficulty and discrimination with many items
  • can place a line at the recommended cut offs to identify which items are deemed good vs bad
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12
Q

use of distractors

A

each distractor should have an equal probability of being selected

  • Items for which the distractor options are not roughly equal in proportion are considered to not be
    functioning properly
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13
Q

modification

A

plan to use 50%+ more items than you will need for the final survey as you will throw many items out

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14
Q

considerations for total amount of items

A
  • facility
  • discrimination
  • distractors
  • number of items u require for final version
  • how well items fit the blueprint
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15
Q

reliability

A

is an estimate of the accuracy of a questionnaire

  • Generally want a minimum reliability of 0.70 for person-based and 0.80 for knowledge-based questionnaires
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16
Q

cronbachs alpha

A

is a measure of the internal consistency of the questionanire
- most widely used and accepted estimate of reliability

17
Q

split half reliability

A
  1. questionnaire is divided into 2 halves
    - typical way is to split into even and odd numbers
  2. calculate the correlation between the two halves

if both halves produce a strong
positive correlation then it is
evidence towards reliability

ex. if the correlation between the two halves was
0.80 (fairly high)

  • Split-half reliability = 2*0.80 / (1+0.80) = 1.60/1.80 = 0.88.
18
Q

face validity

A

describes the apperarance of the questionnaire to respondents
- asks whether or not the questionnaire looks as if it is measuring what it claims to measure
- if not, people may not take it seriously and refuse to participate

19
Q

content validity

A

relationship between the content and the purpose of the questionnaire
- purely subjective judgement

ex. a blueprint for a questionnaire used in a job
selection should match the job description.

20
Q

standardization

A

involved obtaining scores on the final version of your questionnaire from appropriate groups of respondents

norms = the scores obtained

21
Q

Standardization and Norms

A
  • With good norms, it is possible to interpret the score of an
    individual and make statements on whether their score was
    typical or atypical

ex. wish to determine how a
person with a suspected clinical disorder compares with people
who have been diagnosed as having that disorder

22
Q

reporting

A

after obtaining norm samples want to provide info about norms and sample characteristics to provide evidence of representativeness

  • provide mean test score
  • provide standard deviation test score
23
Q

standard score/ z score

A

how many standard deviations their score differs from the mean

figure ranges between -3.00 and 3.00

z score = 0, they are right at the average.
z score = 1.00, they are one standard deviation above the
mean
z-score = -1.50, they are one and a half standard deviations below the mean

24
Q

standardized scores

A

assumes individuals do not know about standard scores or what a standard deviation is

25
Q

T score

A

multiply the standard
score by 10 and add 50. Then you run to the nearest
whole number

  • Z-score larger than -5.0 would have a positive value
  • very rare to obtain someone with a zsore lower than -5.0 or higher than 5.0
26
Q

Stanine

A

commonly used standardized score for person based tests

  • multiply z score by 2 then adding 5 and finally round to nearest integer
  • produces integer bw 1-9
27
Q

scaling

A

process of measuring objects in a way that maximizes precision, objectivity and communication

  • provides a way to mathematically understand a stimulus response relationship
28
Q

response-centered scaling

A

responses are scaled to place a subject along a psychological continuum based on strength of psychological trait they possess

29
Q

subject centered scaling

A

summing or averaging all items
- most common

30
Q

dimensionality

A

reflects the number and nature of variables assessed by its items
- can be unidimensional or multidimensional
- directly impacts scoring of a questionaire
- dictates number or meaningful scores

31
Q

readability

A

how difficult your test will be in terms of the ability to understand in english

  • When the value is greater than 10 it is often taken as the
    number of years of education required.
32
Q

interview as a test

A

ask questions and gather info, create categories and assign numbers to summarize indiivdual

ex. emplyment

33
Q

good interview - social facilitation

A

mood of an interviwee can influence mood of interviewer and vice versa

34
Q

good interview - attitude

A
  • interpersonal influences
    (the degree to which one can influence another) is related to interperosonal attraction (the degree to which people share a feeling).
  • As such it is important to be warm, accepting, open, and
    understanding when conducting an interview
35
Q

good interview - judgement

A

no judgement or uncomfy

  • terms such as good, bad, excellent, terrible, and such
    tend to make interviewees feel judged
36
Q

good interview - limit probing

A

A probing question asks “why” or a follow up to the
respondents last response

  • probing = defensiveness
37
Q

good interview - open ended questions

A

mostly open ended
- open dialouge to discuss subject

38
Q

good interview - flow

A

keep flow with transitions, repetition of words, paraphrasing or summarizing
- collect as much info as possible