Large-Scale Cognitive Assessment : : Analyzing PIAAC Data / / edited by Débora B. Maehler, Beatrice Rammstedt.
This open access methodological book summarises existing analysing techniques using data from PIAAC, a study initiated by the OECD that assesses key cognitive and occupational skills of the adult population in more than 40 countries. The approximately 65 PIAAC datasets that has been published worldw...
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Superior document: | Methodology of Educational Measurement and Assessment, |
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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2020. |
Year of Publication: | 2020 |
Edition: | 1st ed. 2020. |
Language: | English |
Series: | Methodology of Educational Measurement and Assessment,
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Physical Description: | 1 online resource (VII, 290 p. 110 illus., 39 illus. in color.) |
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Maehler, Débora B. edt Large-Scale Cognitive Assessment : Analyzing PIAAC Data / edited by Débora B. Maehler, Beatrice Rammstedt. 1st ed. 2020. Springer Nature 2020 Cham : Springer International Publishing : Imprint: Springer, 2020. 1 online resource (VII, 290 p. 110 illus., 39 illus. in color.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Methodology of Educational Measurement and Assessment, 2367-170X This open access methodological book summarises existing analysing techniques using data from PIAAC, a study initiated by the OECD that assesses key cognitive and occupational skills of the adult population in more than 40 countries. The approximately 65 PIAAC datasets that has been published worldwide to date has been widely received and used by an interdisciplinary research community. Due to the complex structure of the data, analyses with PIAAC datasets are very challenging. To ensure the quality and significance of these data analyses, it is necessary to instruct users in the correct handling of the data. This methodological book provides a standardised approach to successfully implementing these data analyses. It contains examples of and tools for the analysis of the PIAAC data using different statistical approaches and software, and it offers perspectives from various disciplines. The contributing authors have hands-on experience of using PIAAC data, and/or they have conducted data analysis workshops with these data. Chapter 1. Large-Scale Assessment in Education: Analysing PIAAC Data (Débora B. Maehler and Beatrice Rammstedt) -- Chapter 2. Design and Key Features of the PIAAC Survey of Adults (Irwin Kirsch, Kentaro Yamamoto, and Lale Khorramdel) -- Chapter 3. Plausible Values – Principles of Item Response Theory and Multiple Imputations (Lale Khorramdel, Matthias von Davier, Eugenio Gonzalez, and Kentaro Yamamoto) -- Chapter 4. Adult Cognitive and Non-Cognitive Skills: An Overview of Existing PIAAC Data (Débora B. Maehler and Ingo Konradt) -- Chapter 5. Analysing PIAAC Data with the International Data Explorer (IDE) (Emily Pawlowski and Jaleh Soroui) -- Chapter 6. Analysing PIAAC data with the IDB Analyzer (SPSS and SAS) (Andrés Sandoval-Hernández and Diego Carrasco) -- Chapter 7. Analysing PIAAC Data with Stata (François Keslair) -- Chapter 8. Analysing PIAAC Data with Structural Equation Modelling in Mplus (Ronny Scherer) -- 9. Using EdSurvey to Analyse PIAAC Data (Paul Bailey, Michael Lee, Trang Nguyen, Ting Zhang) -- Chapter 10. Analysing Log File Data from PIAAC (Frank Goldhammer, Carolin Hahnel, and Ulf Kroehne) -- Chapter 11. Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project (Jessica Daikeler, Britta Gauly, and Matthias Rosenthal). Open Access Description based on publisher supplied metadata and other sources. English Assessment. Statistics . Education—Economic aspects. International education . Comparative education. Assessment, Testing and Evaluation. https://scigraph.springernature.com/ontologies/product-market-codes/O33000 Statistics for Social Sciences, Humanities, Law. https://scigraph.springernature.com/ontologies/product-market-codes/S17040 Education Economics. https://scigraph.springernature.com/ontologies/product-market-codes/W36000 International and Comparative Education. https://scigraph.springernature.com/ontologies/product-market-codes/O13000 Assessment, Testing and Evaluation Statistics for Social Sciences, Humanities, Law Education Economics International and Comparative Education Education Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy PIAAC data Large-scale assessment Data analysis Plausible values International comparison Key cognitive skills Literacy of adult population Numeracy of adult population Analysis with PIAAC datasets Stata R software Open access Education: examinations & assessment Social research & statistics Economics of specific sectors 3-030-47514-X Maehler, Débora B. editor. (orcid)0000-0001-7043-8786 https://orcid.org/0000-0001-7043-8786 edt http://id.loc.gov/vocabulary/relators/edt Rammstedt, Beatrice. editor. edt http://id.loc.gov/vocabulary/relators/edt |
language |
English |
format |
eBook |
author2 |
Maehler, Débora B. Maehler, Débora B. Rammstedt, Beatrice. Rammstedt, Beatrice. |
author_facet |
Maehler, Débora B. Maehler, Débora B. Rammstedt, Beatrice. Rammstedt, Beatrice. |
author2_variant |
d b m db dbm d b m db dbm d b m db dbm b r br b r br |
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HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn |
author_sort |
Maehler, Débora B. |
title |
Large-Scale Cognitive Assessment : Analyzing PIAAC Data / |
spellingShingle |
Large-Scale Cognitive Assessment : Analyzing PIAAC Data / Methodology of Educational Measurement and Assessment, Chapter 1. Large-Scale Assessment in Education: Analysing PIAAC Data (Débora B. Maehler and Beatrice Rammstedt) -- Chapter 2. Design and Key Features of the PIAAC Survey of Adults (Irwin Kirsch, Kentaro Yamamoto, and Lale Khorramdel) -- Chapter 3. Plausible Values – Principles of Item Response Theory and Multiple Imputations (Lale Khorramdel, Matthias von Davier, Eugenio Gonzalez, and Kentaro Yamamoto) -- Chapter 4. Adult Cognitive and Non-Cognitive Skills: An Overview of Existing PIAAC Data (Débora B. Maehler and Ingo Konradt) -- Chapter 5. Analysing PIAAC Data with the International Data Explorer (IDE) (Emily Pawlowski and Jaleh Soroui) -- Chapter 6. Analysing PIAAC data with the IDB Analyzer (SPSS and SAS) (Andrés Sandoval-Hernández and Diego Carrasco) -- Chapter 7. Analysing PIAAC Data with Stata (François Keslair) -- Chapter 8. Analysing PIAAC Data with Structural Equation Modelling in Mplus (Ronny Scherer) -- 9. Using EdSurvey to Analyse PIAAC Data (Paul Bailey, Michael Lee, Trang Nguyen, Ting Zhang) -- Chapter 10. Analysing Log File Data from PIAAC (Frank Goldhammer, Carolin Hahnel, and Ulf Kroehne) -- Chapter 11. Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project (Jessica Daikeler, Britta Gauly, and Matthias Rosenthal). |
title_sub |
Analyzing PIAAC Data / |
title_full |
Large-Scale Cognitive Assessment : Analyzing PIAAC Data / edited by Débora B. Maehler, Beatrice Rammstedt. |
title_fullStr |
Large-Scale Cognitive Assessment : Analyzing PIAAC Data / edited by Débora B. Maehler, Beatrice Rammstedt. |
title_full_unstemmed |
Large-Scale Cognitive Assessment : Analyzing PIAAC Data / edited by Débora B. Maehler, Beatrice Rammstedt. |
title_auth |
Large-Scale Cognitive Assessment : Analyzing PIAAC Data / |
title_new |
Large-Scale Cognitive Assessment : |
title_sort |
large-scale cognitive assessment : analyzing piaac data / |
series |
Methodology of Educational Measurement and Assessment, |
series2 |
Methodology of Educational Measurement and Assessment, |
publisher |
Springer Nature Springer International Publishing : Imprint: Springer, |
publishDate |
2020 |
physical |
1 online resource (VII, 290 p. 110 illus., 39 illus. in color.) |
edition |
1st ed. 2020. |
contents |
Chapter 1. Large-Scale Assessment in Education: Analysing PIAAC Data (Débora B. Maehler and Beatrice Rammstedt) -- Chapter 2. Design and Key Features of the PIAAC Survey of Adults (Irwin Kirsch, Kentaro Yamamoto, and Lale Khorramdel) -- Chapter 3. Plausible Values – Principles of Item Response Theory and Multiple Imputations (Lale Khorramdel, Matthias von Davier, Eugenio Gonzalez, and Kentaro Yamamoto) -- Chapter 4. Adult Cognitive and Non-Cognitive Skills: An Overview of Existing PIAAC Data (Débora B. Maehler and Ingo Konradt) -- Chapter 5. Analysing PIAAC Data with the International Data Explorer (IDE) (Emily Pawlowski and Jaleh Soroui) -- Chapter 6. Analysing PIAAC data with the IDB Analyzer (SPSS and SAS) (Andrés Sandoval-Hernández and Diego Carrasco) -- Chapter 7. Analysing PIAAC Data with Stata (François Keslair) -- Chapter 8. Analysing PIAAC Data with Structural Equation Modelling in Mplus (Ronny Scherer) -- 9. Using EdSurvey to Analyse PIAAC Data (Paul Bailey, Michael Lee, Trang Nguyen, Ting Zhang) -- Chapter 10. Analysing Log File Data from PIAAC (Frank Goldhammer, Carolin Hahnel, and Ulf Kroehne) -- Chapter 11. Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project (Jessica Daikeler, Britta Gauly, and Matthias Rosenthal). |
isbn |
3-030-47515-8 3-030-47514-X |
issn |
2367-170X |
callnumber-first |
L - Education |
callnumber-subject |
LC - Social Aspects of Education |
callnumber-label |
LC5225 |
callnumber-sort |
LC 45225 A75 |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
370 - Education |
dewey-ones |
371 - Schools & their activities; special education |
dewey-full |
371.26 |
dewey-sort |
3371.26 |
dewey-raw |
371.26 |
dewey-search |
371.26 |
oclc_num |
1182514285 |
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is_hierarchy_title |
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container_title |
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