Child Development with the D-Score.

Children learn to walk, speak, and think at an astonishing pace. The D-score presents a unified framework that places children and their developmental milestones from different tools onto the same scale, enabling comparisons in child development across populations, groups and individuals.

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Place / Publishing House:Milton : : Taylor & Francis Group,, 2023.
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Year of Publication:2023
Edition:1st ed.
Language:English
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id 50030883072
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spelling Buuren, Stef van.
Child Development with the D-Score.
1st ed.
Milton : Taylor & Francis Group, 2023.
Ã2023.
1 online resource (205 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of illustrations -- List of contributors -- Preface -- 1. Child development with the D-score: turning milestones into measurement -- 1.1 Introduction -- 1.1.1 First 1000 days -- 1.1.2 Relevance of child development -- 1.1.3 Stunting as proxy for child development -- 1.1.4 Measuring neurocognitive development -- 1.1.5 Why this chapter? -- 1.1.6 Intended audience -- 1.2 Short history -- 1.2.1 What is child development? -- 1.2.2 Theories of child development -- 1.2.3 Example of motor development -- 1.2.4 Typical questions asked in child development -- 1.3 Quantifying child development -- 1.3.1 Age-based measurement of development -- 1.3.2 Probability-based measurement -- 1.3.3 Score-based measurement of development -- 1.3.4 Unit-based measurement of development -- 1.3.5 A unified framework -- 1.3.6 Why unit-based measurement? -- 1.4 The D-score -- 1.4.1 The Dutch Development Instrument (DDI) -- 1.4.2 Probability of passing a milestone given age -- 1.4.3 Probability of passing a milestone given D-score -- 1.4.4 Relation between age and the D-score -- 1.4.5 Measurement model for the D-score -- 1.4.6 Item response functions -- 1.4.7 Engelhard criteria for invariant measurement -- 1.4.8 Why take the Rasch model? -- 1.5 Computation -- 1.5.1 Identify nature of the problem -- 1.5.2 Item parameter estimation -- 1.5.3 Estimation of the D-score -- 1.5.4 Age-conditional references -- 1.6 Evaluation -- 1.6.1 Item fit -- 1.6.2 Person fit -- 1.6.3 Differential item functioning (DIF) -- 1.6.4 Item information -- 1.6.5 Reliability -- 1.7 Validity -- 1.7.1 Internal validity -- 1.7.2 External validity -- 1.8 Precision -- 1.8.1 SMOCC design: Standard and additional milestones -- 1.8.2 D-score from short tests -- 1.8.3 Impact of short tests on predicting IQ -- 1.9 Three studies.
1.9.1 SMOCC study -- 1.9.2 POPS study -- 1.9.3 TOGO study -- 1.9.4 Conclusions -- 1.10 Next steps -- 1.10.1 Usefulness of D-score for monitoring child health -- 1.10.2 D-chart, a growth chart for child development -- 1.10.3 Opportunities for early intervention -- 1.10.4 D-score for international settings -- 1.10.5 D-score from existing instruments -- 1.10.6 Creating new instruments for D-score -- 1.11 Appendices -- A - Notation -- B - Technical information -- Data availability -- Underlying data -- Note -- References -- 2. Child development with the D-score: tuning instruments to unity -- 2.1 Introduction -- 2.1.1 Previous work on the D-score -- 2.1.2 What this volume is about -- 2.1.3 Relevance of the work -- 2.1.4 Why this chapter? -- 2.1.5 Intended audience -- 2.2 Data -- 2.2.1 Overview of cohorts and instruments -- 2.2.2 Cohort descriptions -- 2.2.3 Instruments -- 2.3 Comparability -- 2.3.1 Are instruments connected? -- 2.3.2 Bridging instruments by mapping items -- 2.3.3 Age profile of item mappings -- 2.4 Equate groups -- 2.4.1 What is an equate group? -- 2.4.2 Concurrent calibration -- 2.4.3 Strategy to form and test equate groups -- 2.4.4 Parameter estimation with equate groups -- 2.4.5 Common latent scale -- 2.4.6 Quantifying equate fit -- 2.4.7 Differential item functioning -- 2.5 Modelling equates -- 2.5.1 GCDG data: design and description -- 2.5.2 Modelling strategies -- 2.5.3 Impact of number of active equate groups -- 2.5.4 Age profiles of similar milestones -- 2.5.5 Quality of equate groups -- 2.5.6 Milestone selection -- 2.5.7 Other modelling actions -- 2.5.8 Item information -- 2.5.9 Final model -- 2.6 Comparing ability -- 2.6.1 Comparing child development across studies -- 2.6.2 Precision of the D-score -- 2.6.3 Domain coverage -- 2.7 Application I: tracking a Sustainable Development Goal.
2.7.1 Estimating SDG 4.2.1 indicator from existing data -- 2.7.2 Defining developmentally on track -- 2.7.3 Country-level estimations -- 2.7.4 Off-track development and stunted growth -- 2.8 Application II: who is on-track? -- 2.8.1 What determines who is developmentally on-track? -- 2.8.2 Factors that impact child development -- 2.9 Discussion -- 2.9.1 D-score from multiple instruments -- 2.9.2 Variability within and between cohorts -- 2.9.3 D-score for international comparisons -- 2.9.4 Better measurement -- 2.10 Appendices -- UNDERLYING DATA -- A - Abbreviations -- B - Notation -- Data availability -- Underlying data -- Acknowledgements -- Note -- References -- Index.
Children learn to walk, speak, and think at an astonishing pace. The D-score presents a unified framework that places children and their developmental milestones from different tools onto the same scale, enabling comparisons in child development across populations, groups and individuals.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Eekhout, Iris.
Print version: Buuren, Stef van Child Development with the D-Score Milton : Taylor & Francis Group,c2023 9781032106335
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=30883072 Click to View
language English
format eBook
author Buuren, Stef van.
spellingShingle Buuren, Stef van.
Child Development with the D-Score.
Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of illustrations -- List of contributors -- Preface -- 1. Child development with the D-score: turning milestones into measurement -- 1.1 Introduction -- 1.1.1 First 1000 days -- 1.1.2 Relevance of child development -- 1.1.3 Stunting as proxy for child development -- 1.1.4 Measuring neurocognitive development -- 1.1.5 Why this chapter? -- 1.1.6 Intended audience -- 1.2 Short history -- 1.2.1 What is child development? -- 1.2.2 Theories of child development -- 1.2.3 Example of motor development -- 1.2.4 Typical questions asked in child development -- 1.3 Quantifying child development -- 1.3.1 Age-based measurement of development -- 1.3.2 Probability-based measurement -- 1.3.3 Score-based measurement of development -- 1.3.4 Unit-based measurement of development -- 1.3.5 A unified framework -- 1.3.6 Why unit-based measurement? -- 1.4 The D-score -- 1.4.1 The Dutch Development Instrument (DDI) -- 1.4.2 Probability of passing a milestone given age -- 1.4.3 Probability of passing a milestone given D-score -- 1.4.4 Relation between age and the D-score -- 1.4.5 Measurement model for the D-score -- 1.4.6 Item response functions -- 1.4.7 Engelhard criteria for invariant measurement -- 1.4.8 Why take the Rasch model? -- 1.5 Computation -- 1.5.1 Identify nature of the problem -- 1.5.2 Item parameter estimation -- 1.5.3 Estimation of the D-score -- 1.5.4 Age-conditional references -- 1.6 Evaluation -- 1.6.1 Item fit -- 1.6.2 Person fit -- 1.6.3 Differential item functioning (DIF) -- 1.6.4 Item information -- 1.6.5 Reliability -- 1.7 Validity -- 1.7.1 Internal validity -- 1.7.2 External validity -- 1.8 Precision -- 1.8.1 SMOCC design: Standard and additional milestones -- 1.8.2 D-score from short tests -- 1.8.3 Impact of short tests on predicting IQ -- 1.9 Three studies.
1.9.1 SMOCC study -- 1.9.2 POPS study -- 1.9.3 TOGO study -- 1.9.4 Conclusions -- 1.10 Next steps -- 1.10.1 Usefulness of D-score for monitoring child health -- 1.10.2 D-chart, a growth chart for child development -- 1.10.3 Opportunities for early intervention -- 1.10.4 D-score for international settings -- 1.10.5 D-score from existing instruments -- 1.10.6 Creating new instruments for D-score -- 1.11 Appendices -- A - Notation -- B - Technical information -- Data availability -- Underlying data -- Note -- References -- 2. Child development with the D-score: tuning instruments to unity -- 2.1 Introduction -- 2.1.1 Previous work on the D-score -- 2.1.2 What this volume is about -- 2.1.3 Relevance of the work -- 2.1.4 Why this chapter? -- 2.1.5 Intended audience -- 2.2 Data -- 2.2.1 Overview of cohorts and instruments -- 2.2.2 Cohort descriptions -- 2.2.3 Instruments -- 2.3 Comparability -- 2.3.1 Are instruments connected? -- 2.3.2 Bridging instruments by mapping items -- 2.3.3 Age profile of item mappings -- 2.4 Equate groups -- 2.4.1 What is an equate group? -- 2.4.2 Concurrent calibration -- 2.4.3 Strategy to form and test equate groups -- 2.4.4 Parameter estimation with equate groups -- 2.4.5 Common latent scale -- 2.4.6 Quantifying equate fit -- 2.4.7 Differential item functioning -- 2.5 Modelling equates -- 2.5.1 GCDG data: design and description -- 2.5.2 Modelling strategies -- 2.5.3 Impact of number of active equate groups -- 2.5.4 Age profiles of similar milestones -- 2.5.5 Quality of equate groups -- 2.5.6 Milestone selection -- 2.5.7 Other modelling actions -- 2.5.8 Item information -- 2.5.9 Final model -- 2.6 Comparing ability -- 2.6.1 Comparing child development across studies -- 2.6.2 Precision of the D-score -- 2.6.3 Domain coverage -- 2.7 Application I: tracking a Sustainable Development Goal.
2.7.1 Estimating SDG 4.2.1 indicator from existing data -- 2.7.2 Defining developmentally on track -- 2.7.3 Country-level estimations -- 2.7.4 Off-track development and stunted growth -- 2.8 Application II: who is on-track? -- 2.8.1 What determines who is developmentally on-track? -- 2.8.2 Factors that impact child development -- 2.9 Discussion -- 2.9.1 D-score from multiple instruments -- 2.9.2 Variability within and between cohorts -- 2.9.3 D-score for international comparisons -- 2.9.4 Better measurement -- 2.10 Appendices -- UNDERLYING DATA -- A - Abbreviations -- B - Notation -- Data availability -- Underlying data -- Acknowledgements -- Note -- References -- Index.
author_facet Buuren, Stef van.
Eekhout, Iris.
author_variant s v b sv svb
author2 Eekhout, Iris.
author2_variant i e ie
author2_role TeilnehmendeR
author_sort Buuren, Stef van.
title Child Development with the D-Score.
title_full Child Development with the D-Score.
title_fullStr Child Development with the D-Score.
title_full_unstemmed Child Development with the D-Score.
title_auth Child Development with the D-Score.
title_new Child Development with the D-Score.
title_sort child development with the d-score.
publisher Taylor & Francis Group,
publishDate 2023
physical 1 online resource (205 pages)
edition 1st ed.
contents Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of illustrations -- List of contributors -- Preface -- 1. Child development with the D-score: turning milestones into measurement -- 1.1 Introduction -- 1.1.1 First 1000 days -- 1.1.2 Relevance of child development -- 1.1.3 Stunting as proxy for child development -- 1.1.4 Measuring neurocognitive development -- 1.1.5 Why this chapter? -- 1.1.6 Intended audience -- 1.2 Short history -- 1.2.1 What is child development? -- 1.2.2 Theories of child development -- 1.2.3 Example of motor development -- 1.2.4 Typical questions asked in child development -- 1.3 Quantifying child development -- 1.3.1 Age-based measurement of development -- 1.3.2 Probability-based measurement -- 1.3.3 Score-based measurement of development -- 1.3.4 Unit-based measurement of development -- 1.3.5 A unified framework -- 1.3.6 Why unit-based measurement? -- 1.4 The D-score -- 1.4.1 The Dutch Development Instrument (DDI) -- 1.4.2 Probability of passing a milestone given age -- 1.4.3 Probability of passing a milestone given D-score -- 1.4.4 Relation between age and the D-score -- 1.4.5 Measurement model for the D-score -- 1.4.6 Item response functions -- 1.4.7 Engelhard criteria for invariant measurement -- 1.4.8 Why take the Rasch model? -- 1.5 Computation -- 1.5.1 Identify nature of the problem -- 1.5.2 Item parameter estimation -- 1.5.3 Estimation of the D-score -- 1.5.4 Age-conditional references -- 1.6 Evaluation -- 1.6.1 Item fit -- 1.6.2 Person fit -- 1.6.3 Differential item functioning (DIF) -- 1.6.4 Item information -- 1.6.5 Reliability -- 1.7 Validity -- 1.7.1 Internal validity -- 1.7.2 External validity -- 1.8 Precision -- 1.8.1 SMOCC design: Standard and additional milestones -- 1.8.2 D-score from short tests -- 1.8.3 Impact of short tests on predicting IQ -- 1.9 Three studies.
1.9.1 SMOCC study -- 1.9.2 POPS study -- 1.9.3 TOGO study -- 1.9.4 Conclusions -- 1.10 Next steps -- 1.10.1 Usefulness of D-score for monitoring child health -- 1.10.2 D-chart, a growth chart for child development -- 1.10.3 Opportunities for early intervention -- 1.10.4 D-score for international settings -- 1.10.5 D-score from existing instruments -- 1.10.6 Creating new instruments for D-score -- 1.11 Appendices -- A - Notation -- B - Technical information -- Data availability -- Underlying data -- Note -- References -- 2. Child development with the D-score: tuning instruments to unity -- 2.1 Introduction -- 2.1.1 Previous work on the D-score -- 2.1.2 What this volume is about -- 2.1.3 Relevance of the work -- 2.1.4 Why this chapter? -- 2.1.5 Intended audience -- 2.2 Data -- 2.2.1 Overview of cohorts and instruments -- 2.2.2 Cohort descriptions -- 2.2.3 Instruments -- 2.3 Comparability -- 2.3.1 Are instruments connected? -- 2.3.2 Bridging instruments by mapping items -- 2.3.3 Age profile of item mappings -- 2.4 Equate groups -- 2.4.1 What is an equate group? -- 2.4.2 Concurrent calibration -- 2.4.3 Strategy to form and test equate groups -- 2.4.4 Parameter estimation with equate groups -- 2.4.5 Common latent scale -- 2.4.6 Quantifying equate fit -- 2.4.7 Differential item functioning -- 2.5 Modelling equates -- 2.5.1 GCDG data: design and description -- 2.5.2 Modelling strategies -- 2.5.3 Impact of number of active equate groups -- 2.5.4 Age profiles of similar milestones -- 2.5.5 Quality of equate groups -- 2.5.6 Milestone selection -- 2.5.7 Other modelling actions -- 2.5.8 Item information -- 2.5.9 Final model -- 2.6 Comparing ability -- 2.6.1 Comparing child development across studies -- 2.6.2 Precision of the D-score -- 2.6.3 Domain coverage -- 2.7 Application I: tracking a Sustainable Development Goal.
2.7.1 Estimating SDG 4.2.1 indicator from existing data -- 2.7.2 Defining developmentally on track -- 2.7.3 Country-level estimations -- 2.7.4 Off-track development and stunted growth -- 2.8 Application II: who is on-track? -- 2.8.1 What determines who is developmentally on-track? -- 2.8.2 Factors that impact child development -- 2.9 Discussion -- 2.9.1 D-score from multiple instruments -- 2.9.2 Variability within and between cohorts -- 2.9.3 D-score for international comparisons -- 2.9.4 Better measurement -- 2.10 Appendices -- UNDERLYING DATA -- A - Abbreviations -- B - Notation -- Data availability -- Underlying data -- Acknowledgements -- Note -- References -- Index.
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dewey-ones 305 - Social groups
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