form1: Form 1 from a real credentialing dataset

In czopluoglu/CopyDetect: Computing Response Similarity Indices for Multiple-Choice Tests

Description

This is a subset of Form 1 from a real credentialing dataset provided by Cizek and Wollack (2017). It has 1,636 test takers and their response to 30 items. The dataset also includes the unique individual IDs in the first column and the unique center IDs in the second column. Column 3 to Column 32 includes the dichotomous item responses to 30 items.

Usage

form1

Format

A data frame with 1,636 rows and 32 columns.

EID

unique person ID variable

cent_id

unique test center ID variable

iraw.A1

dichotomous item score for item A1

iraw.A2

dichotomous item score for item A2

iraw.A3

dichotomous item score for item A3

iraw.A4

dichotomous item score for item A4

iraw.A5

dichotomous item score for item A5

iraw.A6

dichotomous item score for item A6

iraw.A7

dichotomous item score for item A7

iraw.A8

dichotomous item score for item A8

iraw.A9

dichotomous item score for item A9

iraw.A10

dichotomous item score for item A10

iraw.A11

dichotomous item score for item A11

iraw.A12

dichotomous item score for item A12

iraw.A13

dichotomous item score for item A13

iraw.A14

dichotomous item score for item A14

iraw.A15

dichotomous item score for item A15

iraw.A16

dichotomous item score for item A16

iraw.A17

dichotomous item score for item A17

iraw.A18

dichotomous item score for item A18

iraw.A19

dichotomous item score for item A19

iraw.A20

dichotomous item score for item A20

iraw.A21

dichotomous item score for item A21

iraw.A22

dichotomous item score for item A22

iraw.A23

dichotomous item score for item A23

iraw.A24

dichotomous item score for item A24

iraw.A25

dichotomous item score for item A25

iraw.A26

dichotomous item score for item A26

iraw.A27

dichotomous item score for item A27

iraw.A28

dichotomous item score for item A28

iraw.A29

dichotomous item score for item A29

iraw.A30

dichotomous item score for item A30

Source

Cizek, G. J., & Wollack, J. A. (Eds.). (2017). Handbook of quantitative methods for detecting cheating on tests. New York, NY: Routledge.

czopluoglu/CopyDetect documentation built on May 22, 2020, 6:50 a.m.