Quant_13B_problem_dataList | R Documentation |

The data are for 1000 randomly selected examinees taking 24 math analysis multiple choice questions.

`Quant_13B_problem_dataList`

A named list.

A named list with 19 members:

- chcemat:
A matrix of response data with N rows and n columns where N is the number of examinees or respondents and n is the number of items. Entries in the matrices are the indices of the options chosen. Column i of chcemat is expected to contain only the integers

`1,...,noption`

.- key:
If the data are from a test of the multiple choices type where the right answer is scored 1 and the wrong answers 0, this is a numeric vector of length n containing the indices the right answers. Otherwise, it is NULL.

- titlestr:
A string containing a title for the analysis.

- N:
The number of persons tested

- n:
The number of questons or items

- noption:
A numeric vector of length n containing the numbers of options for each item.

- Sdim:
The total dimension of the surprisal scores.

- grbgvec:
A vector of length indicating which option for each item contains missing or illegal choice values. If 0, there is no such option.

- ScoreList:
A list vector or length n with each object a numeric vector of weights assigned to each option for each item.

- nbin:
The number of bins for binning the data.

- NumBasis:
The number of spline basis functions.

- Sbasis:
An basisfd object for the defining the surprisal curves.

- itemlabvec:
A character vector with a title string for each item.

- optlabList:
A list vector of length n with a character vector of labels for each object within each item.

- scrvec:
A vector of length N containing the examinee or respondent sum scores.

- itmvec:
A vector of length n containing the item sum scores.

- scrjit:
A numeric vector of length N containing small jitters to each sum score to break up ties,

- sumscr_rng:
A vector of length 2 containing the limits of observed sum scores.

- SfdList:
A list vector containing essential objects for each item.

- scrfine:
A fine mesh of test score values for plotting.

- indexQnt:
A numeric vector of length 2*nbin + 1 containing the bin boundaries alternating with the bin centers. These are initially defined as

`seq(0,100,len=2*nbin+1)`

.- percntrnk:
A vector length N containing the sum score percentile ranks.

- PcntMarkers:
The marker percentages for plotting: 5, 25, 50, 75 and 95.

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