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1. |
Record Nr. |
UNINA9910163004403321 |
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Autore |
Braun Christian <1971-> |
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Titolo |
Das Althochdeutsche aus textlinguistischer Sicht : soziopragmatische Einordnung und ausgewählte textgrammatische Studien / / Christian Braun |
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Pubbl/distr/stampa |
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Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 |
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©2017 |
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ISBN |
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3-11-051597-0 |
3-11-051719-1 |
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Descrizione fisica |
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1 online resource (380 pages) |
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Collana |
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Lingua Historica Germanica, , 2363-7951 ; ; Band 14 |
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Disciplina |
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Soggetti |
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German literature - Old High German, 750-1050 - Criticism, textual |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Frontmatter -- Vorwort -- Inhalt -- 1. Einleitung -- 2. Der Text als Gegenstand linguistischer Betrachtung -- 3. Theoretische Grundlagen -- 4. Das Althochdeutsche aus textlinguistischer Sicht -- 5. Soziopragmatische Klassifikationsfaktoren althochdeutscher Texte -- 6. Parametergestützte Auswertungen und Überlegungen -- 7. Ausgewählte textgrammatische Studien althochdeutscher Texte -- 8. Zusammenfassung und Ausblick -- Verzeichnisse, Quellen- und Bildnachweise -- Abbildungsverzeichnis -- Literaturverzeichnis |
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Sommario/riassunto |
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Die vorliegende Studie untersucht das Althochdeutsche erstmalig aus einer dezidiert textlinguistischen Perspektive. Hierzu wird das Gros der althochdeutschen Textdenkmäler zuerst einer soziopragmatischen Einordnung unterzogen. Im Anschluss werden ausgewählte Texte aus dem Kommunikationsbereich der pastoralen Seelsorge bzw. des Gottesdienstes textgrammatisch analysiert. Die Kombination von sozio- und systemlinguistischem Ansatz ermöglicht profunde Aussagen über die an die Texte gestellten kommunikativen Aufgaben und deren erfolgreiche Umsetzung. Für beide Analyseschritte werden theoretisch reflektierte Systematiken entwickelt. Der aus zwei sich ergänzenden Perspektiven (soziolinguistisch und textgrammatisch) |
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erfolgende Zugriff auf das Althochdeutsche stellt eine qualitativ neue Bearbeitung des Forschungsgegenstandes dar, setzt wichtige Impulse für eine Auseinandersetzung mit dem Thema und regt zudem dazu an, die entwickelten Analyseinstrumentarien an weiteren historischen Sprachstufen zu erproben. |
For the first time, this study describes Old High German using the comprehensive approach of text linguistics. It starts by examining the linguistic characteristics of Old High German in its contextual frameworks from a sociopragmatic perspective. It then proceeds to a text grammatical analysis of selected texts. Combining these two approaches yields new insights. |
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2. |
Record Nr. |
UNINA9910483420103321 |
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Autore |
Rosenbaum Paul R. |
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Titolo |
Design of Observational Studies / / by Paul R. Rosenbaum |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[2nd ed. 2020.] |
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Descrizione fisica |
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1 online resource (XXVII, 547 p. 34 illus.) |
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Collana |
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Springer Series in Statistics, , 2197-568X |
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Disciplina |
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Soggetti |
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Statistics |
Probabilities |
Econometrics |
Biometry |
Psychology - Methodology |
Sociology - Methodology |
Statistical Theory and Methods |
Probability Theory |
Biostatistics |
Psychological Methods |
Sociological Methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part I Beginnings -- 1 Dilemmas and Craftsmanship -- 2 Causal Inference in Randomized Experiments -- 3 Two Simple Models for Observational Studies -- 4 Competing Theories Structure Design -- 5 Opportunities, Devices, and Instruments -- 6 Transparency -- 7 Some Counterclaims Undermine Themselves -- Part II Matching -- 8 A Matched Observational Study -- 9 Basic Tools of Multivariate Matching -- 10 Various Practical Issues in Matching -- 11 Fine Balance -- 12 Matching Without Groups -- 13 Risk-Set Matching -- 14 Matching in R -- Part III Design Sensitivity -- 15 The Power of a Sensitivity Analysis and Its Limit -- 16 Heterogeneity and Causality -- 17 Uncommon but Dramatic Responses to Treatment -- 18 Anticipated and Discovered Patterns of Response -- 19 Choice of Test Statistic -- Part IV Enhanced Design -- 20 Evidence Factors -- 21 Constructing Several Comparison Groups -- Part V Planning Analysis -- 22 After Matching, Before Analysis -- 23 Planning the Analysis -- Summary: Key Elements of Design -- Solutions to Common Problems -- Symbols -- Acronyms -- Glossary of Statistical Terms -- Further Reading -- Suggested Readings for a Course -- Index. |
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Sommario/riassunto |
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This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies. |
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