Week 3 Flashcards

1
Q

Overarching theory of psychometric theory

A

Is classical testing theory

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2
Q

Classical testing theory

A

X is equal to t plus e
X (observed score), t (true score), e (error)

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3
Q

Content analysis

A

Getting content from individuals who are actually affected by the product you are showing

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4
Q

Critical incidents

A

Interviewing individuals about the Katrina hurricane, listening to the responses people saying there is not enough canned goods, these types of interviews can be helpful to future incidents

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5
Q

Direct observations

A

Directing peoples behavior

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6
Q

Step 2: Identifying behaviors that represent a construct

A

Content analysis, critical incidents, direct observation & expert judgments

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7
Q

Step 3 preparing the test specifications

A

Need to develop specific sub-areas that make up the larger construct and test developer needs to assign weights to each sub-area

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8
Q

Step 4- item construction

A

Select an item format that is feasible for the intended examinees and need to write appropriate items-also consider how long you want the test to be in terms of time

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9
Q

Aptitude and achievement test use what type of answer choices

A

Use true or false, multiple choice and matching

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10
Q

Attitude and personality traits answer choices

A

Agree-disagree, likert format, bipolar checklist

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11
Q

Step 1 identifying the purpose of the test

A

Need to identify both the material to be tested and for whom you are developing the test

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12
Q

Step 5 item review

A

Experts review items for accuracy grammar, appropriateness to the construct

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13
Q

Step 6 preliminary item piloting

A

Give test out a small group and debrief about test to determine points of difficulty

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14
Q

True score

A

Testing someone an infinite number of times

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15
Q

Two types of error

A

Random and systematic error

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16
Q

Random error

A

It doesn’t happen the same every time. Any error due to chance

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17
Q

What is chance based on?

A

Probability, which is based on infinity

18
Q

Systematic error

A

Any error that reoccurs repeatedly based on the characteristic of the person being tested

19
Q

Person R correlation

A

Association between two variables that are measured on interval and continuous scales

20
Q

Variance

A

Variability (area)

21
Q

Anything with an exponent its root is always

A

Variance =X^2

22
Q

Non dichotomous scoring system variance

A

(X1-X)^2 + (X2-X)^2+…. Divided by N

23
Q

Correlations matrix

A

Shows how related the items are to one another
0-.3 weak, .4-.6 moderate & .7 and above strong correlation

24
Q

Variance item for dichotomous

A

Item mean times (1-item mean)

25
Q

Phi formula

A

2 variables association on a categorical or nominal scale

26
Q

Phi coefficient goes from what numbers

A

0 to 1

27
Q

Phi formula actual formula

A

bc-ad divided by the square root of (a+b)x(a+c)x(c+d)+(b+d)

28
Q

Which items go first on the phi formula

A

The lower number item always goes on top of the box and the higher number item goes on the left side

29
Q

Where do you look when beginning the phi formula?

A

Make a square and look for the raw scores for the items compare them to one another and plug them into the formula

30
Q

Item quality

A

Determining how good an item is and if we need to take them out, look at which items have better quality

31
Q

Is the scale project non dichotomous?

A

Yes

32
Q

Dichotomous response formats

A

Look at aptitude/achievement, either wrong or right answer, looks at variance, mean, phi coefficient, variance and covariance matrix

33
Q

Non dichotomous response format

A

Attitude/personality, likert scale, look at mean, variance & correlation matrix

34
Q

Non dichotomous variance you want items to be

A

Higher variance are better quality items! If you want to capture trait you need higher variance/variability

35
Q

How do we determine a non dichotomous item to be appropriate?

A

The way we determine the item is appropriate if the mean is closest to the midpoint on a scale

36
Q

Mean

A

Average responding for your sample for that item and denotes strength of sentiment

37
Q

Variance related to standard deviation

A

Standard deviation ^2 is variance

38
Q

Mean for dichotomous

A

The higher the mean the easier the question, the lower the mean the more difficult the question

39
Q

Variance in dichotomous

A

There should be low variance between groups because there are only 2 options, we do not want variability we want similar variance scores, variance should be closest to zero

40
Q

Do the negatives matter in variance-covariance matrix item scores?

A

The negative does not have a qualifier here

41
Q

Covariance

A

How the items vary with each other

42
Q

Two types of scoring

A

Dichotomous & Non-dichotomous