Lecture 3 psychometrics

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Last updated 7:41 PM on 9/30/26
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45 Terms

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What is the 1st step in test construction

Identify the purpose of the test: What am i measuring and why

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Why is identifying the purpose important

The purpose determines:

  • content

  • format

  • difficulty

  • target population

  • interpretation of scores


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What is content analysis?

The process of identifying behaviors that represent a construct

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Sources used to identify construct behaviors?

  1. research literature

  2. critical incidents

  3. direct observation

  4. expert judgement


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What is a critical incident

an important real world even that provides information about behavior

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What are test specifications

The blueprint of the test

  • subdomains

  • number of items

  • weight of each area


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Aptitude/achievemen test vs personality tests

Aptitude/achievement: Correct/incorrect


Personality/attitude: Likert scales, agree/disagree

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Guidelines for writing items

  1. present tense

  2. simple vocabulary

  3. short items

  4. avoid “always” and “never”


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Why should we avoid words like “always” and “never”

They are usually unrealistic and difficult to endorse accurately

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What is checked during item review?

  • accuracy

  • grammar

  • bias

  • readability

  • construct relevance

  • clarity


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What is preliminary item piloting?

Administering a test to a small sample before final use

finds weak and confusing items. collects statistics

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What is dichotomous scoring

Items scored:

Correct/incorrect

0 / 1

pass / fail

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examples of dichotomous tests?

math testts

spelling tests

achievement tests

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What does the item mean tell you in dichotomous scoring?

Item difficulty

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Item mean = .90 (dichotomous)

Easy item. 90% answered correctly

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Item mean = .20 (dichotomous)

Hard item. 20% answered correctly

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What does item variance tell you?

How much people differ on the item

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Why is very low item variance bad?

The item does not discriminate among examinees

Everyone answers similarly

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What is Phi coefficient

Correlation coefficient for dichotomous variables

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What is non-dichotomous scoring?

Items with multiple response options.

ex: Likert scales

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non-dichotomous measures examples

  • depression inventories

  • anxiety scales

  • personality tests


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What should the mean of a good Likert item be?

Near the midpoint of the

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Why are midpoint means desireable?

The item discriminates among individuals

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What is desireable for variance in personality measures?

High variance. It captures low, moderate, and high trait levels

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What is pearson r?

Correlation coefficient for continuous variables (nondichotomous)

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What does pearson correlation tell us?

How strongly 2 variables are related

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What is variability?

The general concept of score spread - Do people differ?

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High variablitiy

High, medium, and low scores

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Low varibility

all scored the same

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What is variance

Numerical measure of variability

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Variability vs variance

Variability = concept of spead

variance = measure of spread

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What is covariance?

The degree to which 2 variables move together

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Positive covariance

both variables increase together

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negative covariance

One increases while other decreases

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Covariance vs correlaton

Covariance: raw relationship

Correlation: Standardized relationship

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Covariance vs variance

Covariance: 2 variables (Do these variables move together)

Variance: 1 variable (How much does this item vary)

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Variance example

“I feel sad” - how spread out are responses

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Covariance examples

“I feel sad”. “I feel hopeless”. - do the scores rise together?

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What is variance-covariance matrix?

Table showing:

variance of each item

covariance btwn all item pairs

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What appears on the diagonal of a variance-covariance matrix?

variances

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What appears off the diagonal of a variance-covariance matrix?

covariances

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Why is the variance-covarianc matrix useful

Helps determine:

  • item relationships

  • test variance

  • internal consistency


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Why is test variance important?

Helps determine optimal test length

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Correlation vs internal consistency

Correlation: Relationship btwn 2 variables

(Sadness ←> hopelessness)


Internall consistency: Do ALL items on a test hang together (sadness, hopelessness, fatigue, worthlessness)

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6 steps of test construction

1, identify purpose

  1. identify bx that represent a construct

  2. prepare test specification

  3. item construction

  4. item review

  5. preliminary item piloting