# Quant_13B_problem_dataList: List of objects essential for an analysis of the abbreviated... In TestGardener: Information Analysis for Test and Rating Scale Data

 Quant_13B_problem_dataList R Documentation

## List of objects essential for an analysis of the abbreviated SweSAT Quantitative multiple choice test.

### Description

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

### Usage

``Quant_13B_problem_dataList``

A named list.

### Details

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.

TestGardener documentation built on May 29, 2024, 3:31 a.m.