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Test Fraud (Statistical Detection and Methodology)

List Price: $57.99
SKU:
9781138286627
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  • Product Details

    Author:
    Neal Kingston, Amy Clark
    Format:
    Paperback
    Pages:
    284
    Publisher:
    Taylor & Francis (November 18, 2016)
    Language:
    English
    ISBN-13:
    9781138286627
    Weight:
    18.75oz
    Dimensions:
    6" x 9"
    File:
    TAYLORFRANCIS-TayFran_260718044107239-20260718.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $57.99
    Series:
    Routledge Research in Education
    Case Pack:
    1
    As low as:
    $55.09
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Imprint:
    Routledge
    Audience:
    College/higher education
    Country of Origin:
    United States
  • Overview

    There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new generation of researchers will have little opportunity or incentive to improve on existing methods.

    Enlisting a variety of experts and scholars in different fields of testing, this edited volume expands on the current literature base by including examples of detailed research findings arrived at by statistical methodology. It also provides a synthesis of the current state of the art with regard to the statistical detection of testing infidelity, particularly for large-scale assessments. By presenting methods currently used by testing organizations and research on new methods, the volume offers an important forum for expanding the literature in this area.