14 multiple choice IQ items

Description

14 multiple choice ability items were included as part of the Synthetic Aperture Personality Assessment (SAPA) web based personality assessment project. The data from 1000 subjects are included here as a demonstration set for scoring multiple choice inventories and doing basic item statistics.

Usage

data(iqitems)

Format

A data frame with 1000 observations on the following 14 variables.

iq1

In the following number series, what number comes next?

iq2

In the following number series, what number comes next? 1 2 4 7 12

iq8

Please mark the word that does not match the other words:

iq10

If you rearrange the letters ATNHIDLA, you will have the name of a:

iq11

The opposite of a 'stubborn' person is a ' ' person.

iq15

If Jerks are Perks and some Perks are Lerks, then some Jerks are definitely Lerks. This statement is:

iq16

Zach is taller than Matt and Richard is shorter than Zach. Which of the following statements would be most accurate?

iq20

How many total legs do two ducks and three dogs have?

iq32

If the day before yesterday is three days after Saturday then what day is today?

iq37

In the following alphanumeric series, what letter comes next? Q, S, N, P, L

iq43

Matrix Reasoning 1

iq44

Matrix reasoning 2

iq47

Matrix reasoning 5

iq49

Matrix Reasoning 9

Details

14 items were sampled from 54 items given as part of the SAPA project (Revelle, Wilt and Rosenthal, 2009) to develop online measures of ability.

This data set may be used to demonstrate item response functions, tetrachoric correlations, or irt.fa.

Source

The example data set is taken from the Synthetic Aperture Personality Assessment personality and ability test at http://test.personality-project.org.

References

Revelle, William, Wilt, Joshua, and Rosenthal, Allen (2010) Personality and Cognition: The Personality-Cognition Link. In Gruszka, Alexandra and Matthews, Gerald and Szymura, Blazej (Eds.) Handbook of Individual Differences in Cognition: Attention, Memory and Executive Control, Springer.

Examples

data(iqitems)
iq.keys <- c(4,4,3,1,4,3,2,3,1,4,1,3,4,3)
score.multiple.choice(iq.keys,iqitems)
#convert them to true false 
iq.scrub <- scrub(iqitems,isvalue=0)  #first get rid of the zero responses
iq.tf <-  score.multiple.choice(iq.keys,iq.scrub,score=FALSE) #convert to wrong (0) and correct (1) for analysis
describe(iq.tf)