systemizing_cat {catSurv}R Documentation

Systemizing Quotient Cat Object

Description

Cat object containing item parameters for graded response model fit with responses to the 40-item Systemizing Quotient personality inventory

Usage

data(systemizing_cat)

Format

An object of class Cat of length 1.

Details

Cat object containing item parameters for graded response model fit with 13,256 response profiles collected by the Open Source Psychometrics Project in 2012, 3050 response profiles collected by Qualtrics in June 2018, and 1500 response profiles collected by YouGov in June 2018. The sample from the Open Source Psychometrics Project was a convenience sample, and the respondents from YouGov were matched to a sampling frame on gender, age, race, and education.

See Cat-class for details regarding the Cat object structure. See grmCat for details regarding the graded response model.

A normal prior was chosen with mean from the theta estimates from the YouGov sample (.033) and a standard deviation (1.4) wide enough to envelope the range of estimated theta values across both samples.

Note that due to how the item parameters were estimated, large, positive values indicate "more" of the latent trait.

Response options are 1=Strongly disagree; 2=Slightly disagree; 3=Slightly agree; 4=Strongly agree

The wording of the question items:

q1

When I listen to a piece of music, I always notice the way it's structured.

q4

I prefer to read non-fiction than fiction.

q5

If I were buying a car, I would want to obtain specific information about its engine capacity.

q6

When I look at a painting, I do not usually think about the technique involved in making it.

q7

If there was a problem with the electrical wiring in my home, I'd be able to fix it myself.

q11

I rarely read articles or webpages about new technology.

q12

I do not enjoy games that involve a high degree of strategy.

q13

I am fascinated by how machines work.

q15

In math, I am intrigued by the rules and patterns governing numbers.

q18

I find it difficult to understand instruction manuals for putting appliances together.

q19

When I look at an animal, I like to know the precise species it belongs to.

q20

If I were buying a computer, I would want to know exact details about its hard drive capacity and processor speed.

q23

When I cook, I do not think about exactly how different methods and ingredients contribute to the final product.

q24

I find it difficult to read and understand maps.

q25

If I had a collection (e.g. CDs, coins, stamps), it would be highly organized.

q26

When I look at a piece of furniture, I do not notice the details of how it was constructed.

q28

When I learn about historical events, I do not focus on exact dates.

q29

When I read the newspaper, I am drawn to tables of information, such as football league scores or stock market indices.

q30

When I learn a language, I become intrigued by its grammatical rules.

q31

I find it difficult to learn my way around a new city.

q32

I do not tend to watch science documentaries on television or read articles about science and nature.

q33

If I were buying a stereo, I would want to know about its precise technical features.

q34

I find it easy to grasp exactly how odds work in betting.

q35

I am not very meticulous when I carry out D.I.Y.

q37

When I look at a building, I am curious about the precise way it was constructed.

q38

When an election is being held, I am not interested in the results for each constituency.

q40

I find it difficult to understand information the bank sends me on different investment and saving systems.

q41

When traveling by train, I often wonder exactly how the rail networks are coordinated.

q42

When I buy a new appliance, I do not read the instruction manual very thoroughly.

q43

If I were buying a camera, I would not look carefully into the quality of the lens.

q44

When I read something, I always notice whether it is grammatically correct.

q45

When I hear the weather forecast, I am not very interested in the meteorological patterns.

q48

When I look at a mountain, I think about how precisely it was formed.

q49

I can easily visualize how the highways in my region link up.

q51

When I'm in a plane, I do not think about the aerodynamics.

q53

When I am walking in the country, I am curious about how the various kinds of trees differ.

q55

I am interested in knowing the path a river takes from its source to the sea.

q56

I do not read legal documents very carefully.

q57

I am not interested in understanding how wireless communication works.

q60

I do not care to know the names of the plants I see.

Source

See https://dataverse.harvard.edu/dataverse/pdsl for the raw YouGov and/or Qualtrics data.

See https://openpsychometrics.org/_rawdata/, maintained by Eric Jorgenson, for the raw Open Source Psychometrics Project site data.

References

Baron-Cohen, Simon, Jennifer Richler, Dheraj Bisarya, Nhishanth Gurunathan, and Sally Wheelwright. "The systemizing quotient: an investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, no. 1430 (2003): 361-374.

Open Source Psychometrics Project. https://openpsychometrics.org/_rawdata/

See Also

Cat-class, grmCat


[Package catSurv version 1.4.0 Index]