Using Secondary Datasets to Understand Persons with Developmental Disabilities and Their Families /

• Άλλοι συγγραφείς: Urbano, Richard C. (Επιμελητής έκδοσης)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Amsterdam : Elsevier/Academic Press, 2013.
• Έκδοση: First edition.
• Σειρά: International review of research in developmental disabilities ; v. 45.
• Θέματα: Developmental disabilities > Research > Data processing.; Developmental disabilities > Research > Methodology.; Developmentally disabled.; BUSINESS & ECONOMICS > Industries > Transportation.; TRANSPORTATION > Public Transportation.; Electronic books.

International Review of Research in Developmental Disabilities is an ongoing scholarly look at research into the causes, effects, classification systems, syndromes, etc. of developmental disabilities. Contributors come from wide-ranging perspectives, including genetics, psychology, education, and ot...

Πίνακας περιεχομένων:

• Front Cover; Using Secondary Datasets to Understand Persons with Developmental Disabilities and their Families; Copyright; Contents; Series Preface; Preface for Volume 45; Contributors; Chapter One: Using Secondary Datasets in Disability Research: Special Issues, Special Promise; 1. Defining Secondary Datasets and Secondary Data Analyses; 1.1. Definition and Examples; 1.2. Advantages of Secondary Analyses; 1.2.1. Time and Money to Collect Data; 1.2.2. Maximizing Resources; 1.2.3. Advantages on a Personal Level; 1.2.4. Increasing Numbers (and More Widespread Use) of Secondary Databases.
• 1.3. Disadvantages of Secondary Analyses1.3.1. Samples and sampling; 1.3.2. Other Sampling-Reporter Issues; 1.3.3. Constructs; 1.3.4. Blurring the Primary-Secondary Divide; 2. Large-Scale Studies in the Field of Intellectual and Developmental Disabilities; 2.1. Recent Articles in Intellectual Disability Journals: Decisions and Procedures; 2.2. Summary of Large-Scale Articles: Findings; 3. Approaching the Future: Recent Large-Scale Data Initiatives in Intellectual Disabilities; 3.1. Three Examples; 3.1.1. Project IAN; 3.1.2. National Fragile X Survey.
• 3.1.3. National Database for Autism Research3.2. Evaluating Recent Large-Scale Data Collection Initiatives; 3.2.1. Replication, Meta-Analyses, and Other ``Beyond Single-Study ́ ́ Comparisons; 3.2.2. Comparison to Selected Subsamples; 3.2.3. Comparison to Other Subgroups Within the Sample (Even if Underrepresented); 3.2.4. Arguments Related to Increasing Need and to Differing Domains; 4. Concluding Thoughts; References; Chapter Two: Linking Datasets: A Practical Guide to Research Using Secondary Analysis; 1. Introduction; 2. Record Linkage Literature Review; 3. Computer Software for Linkage.
• 3.1. Existing Linkage Software and Coupler3.1.1. FRIL; 3.1.2. FEBRL; 3.1.3. Merge Toolbox; 3.1.4. OYSTER; 3.1.5. Coupler; 4. Record Linkage Tutorial; 4.1. Tutorial Datasets; 4.2. Research Question; 4.3. Linkage Strategies; 5. Deterministic Linkage Tutorial; 5.1. Create Initial MIHOW Datasets-Part 1 (10. MIHOWPrep.r); 5.2. Create Initial MIHOW Datasets-Part 2 (15. MIHOWPrep.r); 5.3. Create Initial Birth Dataset (20. BirthPrep.r); 5.4. Create Keys for Linking MIHOW and Birth Datasets (45. MakeKeys.r); 5.5. Linking MIHOW and Birth Records (50. LinkVar.r).
• 6. Probabilistic Record Matching Using RecordLinkage6.1. Installing; 6.2. Preprocessing; 6.3. Record Blocking; 6.4. Comparison Types; 6.5. Comparison Pattern; 6.6. Weights; 6.7. Thresholds; 6.8. Classification; 6.9. Additional Techniques; 6.10. Results of Probabilistic Linkage; 7. Results; 7.1. Comparison of Deterministic and Probabilistic Matches; 7.1.1. Create Comparable Datasets; 7.1.2. Agreements and Disagreements; 7.1.3. Adding Control Subjects; 7.1.4. Results: MIHOW Participants Versus Controls; 8. Conclusion; Acknowledgments; Appendix A. 10. MIHOWPrep.r1; Appendix B. 15. MIHOWPrep.r.