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https://doi.org/10.13094/SMIF-2019-00020

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Analysing Poor Reading Skills: A Comparison Between PIAAC Literacy Levels and Reading components

[journal article]

Perry, Anja
Gauly, Britta

Abstract

The aim of this paper is to compare two measures of literacy skills used in the Programme for the International Assessment of Adult Competencies (PIAAC), i.e. literacy levels and reading components. Different from assessing literacy levels, which cover the entire range of reading skills from very ... view more

The aim of this paper is to compare two measures of literacy skills used in the Programme for the International Assessment of Adult Competencies (PIAAC), i.e. literacy levels and reading components. Different from assessing literacy levels, which cover the entire range of reading skills from very high to very low, the reading components assessment is specifically designed to test the reading skills of the low literate. As literacy skills are an important determinant for labour market success, we examine whether the reading components assessment is a better predictor of employment of the test takers than the general literacy level assessment used in PIAAC. We compare different logistic regression models that include literacy levels and the reading components and use the Wald-test to compare the model fit of each examined model. In a further step we test whether the predictive validity differs between low and high literate test takers. Our results indicate that the PIAAC reading components are more useful in predicting employment of the low literate than the PIAAC literacy levels.... view less

Keywords
measurement; reading; literacy; model comparison; Federal Republic of Germany; validity; regression analysis; employment; unemployment; quota; German language; sample; adult

Classification
Sociology of Education

Free Keywords
Literacy measures; low-literate; reading components; Programme for the International Assessment of Adult Competencies; PIAAC

Document language
English

Publication Year
2019

Page/Pages
p. 1-9

Journal
Survey Methods: Insights from the Field (2019)

ISSN
2296-4754

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.