Week 2 Flashcards

(32 cards)

1
Q

What are the two types of test items discussed in the lecture?

A
  • Dichotomous items
  • Polytomous items

Dichotomous items have two scores, while polytomous items have more than two scores.

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2
Q

A dichotomous item has how many item scores?

A

Two

Example: multiple-choice items with correct and incorrect answers.

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3
Q

What is an example of a polytomous item?

A

Likert item

Example: Responses ranging from 1 (strongly agree) to 5 (strongly disagree).

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4
Q

The central aim of item analysis is to obtain insight into what?

A

Quality of the items and the test

This includes defining the purpose of the test and investigating the psychometric quality of the items.

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5
Q

What does the p-value represent in the context of dichotomous items?

A

Item difficulty (popularity)

It is the mean item score for dichotomous items.

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6
Q

What is the a-value in item analysis?

A

Proportion of persons choosing an incorrect item option

It can be used to investigate the quality of alternative answers.

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7
Q

True or false: The p-value in item analysis is the same as the p-value in hypothesis testing.

A

FALSE

The p-value in item analysis refers to item difficulty, not statistical hypothesis testing.

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8
Q

What is item discrimination?

A

An item’s ability to differentiate between groups of persons

It is not related to racial, ethnic, or gender discrimination.

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9
Q

What are the two indexes of discrimination mentioned?

A
  • Disc index
  • Item-test correlation

These indexes help assess how well an item differentiates between test-takers.

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10
Q

How is the Disc index calculated?

A

Difference between proportion correct in high and low scoring groups

This helps to evaluate the effectiveness of an item.

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11
Q

What is the corrected item-total correlation?

A

Correlation between score on a specific item and the sum of the other items without that item

It provides a more accurate picture of an item’s relationship to the total score.

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12
Q

What does a high item-test correlation indicate?

A

High discrimination and a good item

It suggests that the item is effective in distinguishing between different levels of test-takers.

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13
Q

What is the purpose of the score matrix in item analysis?

A

To analyze item scores of individuals

It helps in calculating p-values and a-values for items.

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14
Q

In the context of item analysis, what does a mean score indicate?

A

Average performance on an item

It is used to assess item difficulty and effectiveness.

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15
Q

What is the significance of item-total correlations?

A

They indicate how well an item correlates with the total test score

This helps in evaluating the quality of each item.

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16
Q

What is the item-total correlation for dichotomous item scores?

A

Point biserial correlation

This correlation indicates the relationship between an individual item score and the total score.

17
Q

Which statement is true regarding the item scores of 8 persons on a test of 3 items?

A

(d) none of the above statements is correct

The options provided do not accurately reflect the data given.

18
Q

What are the item selection criteria for tests?

A
  • Number of items
  • p-values
  • Shape of distribution
  • Discrimination
  • Content considerations

These criteria help ensure the reliability and validity of the test.

19
Q

True or false: An easy test best discriminates between persons with low total scores.

A

TRUE

This is because easy tests yield higher p-values, indicating more correct responses from low-scoring individuals.

20
Q

What is the definition of reliability in classical test theory?

A

The extent to which test scores are similar if a test is administered multiple times to the same person under the same conditions

Reliability focuses on the consistency of test scores across different administrations.

21
Q

What are the components of a test score according to classical test theory?

A
  • Systematic part
  • Random part

The systematic part reflects consistent factors, while the random part includes temporary influences.

22
Q

What does the formula O = T +/- E represent?

A

Observed score = true score +/- error

This formula illustrates the relationship between observed scores, true scores, and measurement error.

23
Q

What are the methods for estimating reliability?

A
  • Parallel method
  • Test-retest method
  • Split-half method
  • Coefficient alpha

These methods provide different approaches to assess the reliability of test scores.

24
Q

What is the parallel method for estimating reliability?

A

Construct two similar tests and compute the correlation between test scores

This method requires careful construction of parallel tests.

25
What is the **test-retest method**?
Administer the same test to the same persons after a time interval ## Footnote This method assesses the stability of test scores over time.
26
Describe the **split-half method** for estimating reliability.
* Divide the test into two halves * Calculate individual test scores for each half * Correlate the scores of both halves ## Footnote This method uses the Spearman-Brown formula to correct for test length.
27
What is **Cronbach’s alpha** used for?
To measure internal consistency of a test ## Footnote It calculates reliability based on the average inter-item correlations.
28
What does the **standard error of measurement (SEM)** represent?
The standard deviation of hypothetical scores around a person's true score ## Footnote SEM helps to establish confidence intervals for test scores.
29
What is the rule of thumb for reliability when comparing groups?
r > 0.7 ## Footnote This threshold indicates acceptable reliability for group comparisons.
30
What is the rule of thumb for reliability in **individual diagnostics**?
r > 0.8 - 0.9 ## Footnote Higher reliability is crucial for accurate individual assessments.
31
In SPSS, how do you access the **reliability analysis** feature?
Analyze – Scale - Reliability ## Footnote This pathway allows users to compute reliability coefficients for their data.
32
If a test is divided into two parallel tests with a correlation of r = .56, what is the reliability of the complete test?
0.72 ## Footnote This is calculated using the Spearman-Brown formula for reliability.