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Fundamental concepts in the design of experiments / Charles R. Hicks, Kenneth V. Turner, Jr.
| Fundamental concepts in the design of experiments / Charles R. Hicks, Kenneth V. Turner, Jr. |
| Autore | Hicks, Charles Robert |
| Edizione | [5th ed] |
| Pubbl/distr/stampa | New York ; Oxford : Oxford University Press, 1999 |
| Descrizione fisica | x, 565 p. : ill. ; 25 cm. |
| Disciplina | 519.5 |
| Altri autori (Persone) | Turner, Kenneth V. Jr.author |
| Soggetto topico | Experimental design |
| ISBN | 0195122739 |
| Classificazione |
AMS 62K
QA279.H53 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000918769707536 |
Hicks, Charles Robert
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| New York ; Oxford : Oxford University Press, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Fundamentals of statistical experimental design and analysis / / Robert G. Easterling, Cedar Crest, New Mexico, USA
| Fundamentals of statistical experimental design and analysis / / Robert G. Easterling, Cedar Crest, New Mexico, USA |
| Autore | Easterling Robert G. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, West Sussex : , : John Wiley and Sons, Incorporated, , 2015 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina | 519.5/7 |
| Soggetto topico |
Mathematical statistics - Study and teaching
Mathematical statistics Experimental design |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-95464-5
1-118-95465-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Table of Contents; Title Page; Preface; References; Statistical Software; Sources for Student Exercises (in addition to the above references); Acknowledgments; Credits; 1 Introduction; Motivation: Why Experiment?; Steps in an Experimental Program; Subject-Matter Passion; Case Study; Overview of Text; Assignment; References; 2 Fundamentals of Experimental Design; Introduction; Experimental Structure; Principles of Experimental Design; Assignment; References; 3 Fundamentals of Statistical Data Analysis; Introduction; Boys' Shoes Experiment; Tomato Fertilizer Experiment
A New Tomato ExperimentComparing Standard Deviations; Discussion; Appendix 3.A The Binomial Distribution; Appendix 3.B Sampling from a Normal Distribution; Appendix 3.C Statistical Underpinnings; Assignment; References; 4 Completely Randomized Design; Introduction; Design Issues; CRD: Single Qualitative Factor; Analysis of Variance; Testing the Assumptions of Equal Variances and Normality; Confidence Intervals; Inference; Statistical Prediction Interval; Example: Tomato Fertilizer Experiment Revisited; Sizing a Completely Randomized Experiment; CRD: Single Quantitative Factor; Design Issues Enhanced Case Study: Power Window Gear TeethAssignment; References; 5 Completely Randomized Design with Multiple Treatment Factors; Introduction; Design Issues; Response Surface Designs; Special Case: Two-Level Factorial Experiments; Fractional Two-Level Factorials; Extensions; Assignment; References; 6 Randomized Complete Block Design; Introduction; Design Issues; RBD with Single Replication; Sizing a Randomized Block Experiment; True Replication; Extensions of the RBD; Discussion; Balanced Incomplete Block Designs; Summary; Assignment; References; 7 Other Experimental Designs; Introduction Latin Square DesignSplit-Unit Designs; Repeated Measures Designs; Robust Designs; Optimal Designs; Assignment; References; Index; End User License Agreement |
| Record Nr. | UNINA-9910460922603321 |
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Easterling Robert G.
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| Chichester, West Sussex : , : John Wiley and Sons, Incorporated, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fundamentals of statistical experimental design and analysis / / Robert G. Easterling, Cedar Crest, New Mexico, USA
| Fundamentals of statistical experimental design and analysis / / Robert G. Easterling, Cedar Crest, New Mexico, USA |
| Autore | Easterling Robert G. |
| Pubbl/distr/stampa | Chichester, West Sussex : , : John Wiley and Sons, Incorporated, , 2015 |
| Descrizione fisica | 1 online resource (289 pages) : color illustrations |
| Disciplina | 519.5/7 |
| Soggetto topico |
Experimental design
Mathematical statistics Mathematical statistics - Study and teaching |
| ISBN |
1-118-95464-5
1-118-95465-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796083103321 |
|
Easterling Robert G.
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| Chichester, West Sussex : , : John Wiley and Sons, Incorporated, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fundamentals of statistical experimental design and analysis / / Robert G. Easterling, Cedar Crest, New Mexico, USA
| Fundamentals of statistical experimental design and analysis / / Robert G. Easterling, Cedar Crest, New Mexico, USA |
| Autore | Easterling Robert G. |
| Pubbl/distr/stampa | Chichester, West Sussex : , : John Wiley and Sons, Incorporated, , 2015 |
| Descrizione fisica | 1 online resource (289 pages) : color illustrations |
| Disciplina | 519.5/7 |
| Soggetto topico |
Experimental design
Mathematical statistics Mathematical statistics - Study and teaching |
| ISBN |
1-118-95464-5
1-118-95465-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910813942603321 |
|
Easterling Robert G.
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| Chichester, West Sussex : , : John Wiley and Sons, Incorporated, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Industrial design of experiments : a case study approach for design and process optimization / / Sammy Shina
| Industrial design of experiments : a case study approach for design and process optimization / / Sammy Shina |
| Autore | Shina Sammy |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (391 pages) |
| Disciplina | 001.434 |
| Soggetto topico |
Experimental design
Manufacturing processes - Experiments |
| ISBN |
9783030862671
9783030862664 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522964303321 |
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Shina Sammy
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar
| Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar |
| Autore | Joglekar Anand M |
| Pubbl/distr/stampa | Oxford, : Wileyl, c2010 |
| Descrizione fisica | 1 online resource (283 p.) |
| Disciplina | 658.500727 |
| Soggetto topico |
Process control - Statistical methods
Quality control - Statistical methods Experimental design |
| ISBN |
1-282-68662-3
9786612686627 0-470-58414-9 0-470-58412-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INDUSTRIAL STATISTICS; CONTENTS; PREFACE; 1. BASIC STATISTICS: HOW TO REDUCE FINANCIAL RISK?; 1.1. Capital Market Returns; 1.2. Sample Statistics; 1.3. Population Parameters; 1.4. Confidence Intervals and Sample Sizes; 1.5. Correlation; 1.6. Portfolio Optimization; 1.7. Questions to Ask; 2. WHY NOT TO DO THE USUAL t-TEST AND WHAT TO REPLACE IT WITH?; 2.1. What is a t-Test and what is Wrong with It?; 2.2. Confidence Interval is Better Than a t-Test; 2.3. How Much Data to Collect?; 2.4. Reducing Sample Size; 2.5. Paired Comparison; 2.6. Comparing Two Standard Deviations
2.7. Recommended Design and Analysis Procedure 2.8. Questions to Ask; 3. DESIGN OF EXPERIMENTS: IS IT NOT GOING TO COST TOO MUCH AND TAKE TOO LONG?; 3.1. Why Design Experiments?; 3.2. Factorial Designs; 3.3. Success Factors; 3.4. Fractional Factorial Designs; 3.5. Plackett-Burman Designs; 3.6. Applications; 3.7. Optimization Designs; 3.8. Questions to Ask; 4. WHAT IS THE KEY TO DESIGNING ROBUST PRODUCTS AND PROCESSES?; 4.1. The Key to Robustness; 4.2. Robust Design Method; 4.3. Signal-to-Noise Ratios; 4.4. Achieving Additivity; 4.5. Alternate Analysis Procedure; 4.6. Implications for R&D 4.7. Questions to Ask 5. SETTING SPECIFICATIONS: ARBITRARY OR IS THERE A METHOD TO IT?; 5.1. Understanding Specifications; 5.2. Empirical Approach; 5.3. Functional Approach; 5.4. Minimum Life Cycle Cost Approach; 5.5. Questions to Ask; 6. HOW TO DESIGN PRACTICAL ACCEPTANCE SAMPLING PLANS AND PROCESS VALIDATION STUDIES?; 6.1. Single-Sample Attribute Plans; 6.2. Selecting AQL and RQL; 6.3. Other Acceptance Sampling Plans; 6.4. Designing Validation Studies; 6.5. Questions to Ask; 7. MANAGING AND IMPROVING PROCESSES: HOW TO USE AN AT-A-GLANCE-DISPLAY?; 7.1. Statistical Logic of Control Limits 7.2. Selecting Subgroup Size 7.3. Selecting Sampling Interval; 7.4. Out-of-Control Rules; 7.5. Process Capability and Performance Indices; 7.6. At-A-Glance-Display; 7.7. Questions to Ask; 8. HOW TO FIND CAUSES OF VARIATION BY JUST LOOKING SYSTEMATICALLY?; 8.1. Manufacturing Application; 8.2. Variance Components Analysis; 8.3. Planning for Quality Improvement; 8.4. Structured Studies; 8.5. Questions to Ask; 9. IS MY MEASUREMENT SYSTEM ACCEPTABLE AND HOW TO DESIGN, VALIDATE, AND IMPROVE IT?; 9.1. Acceptance Criteria; 9.2. Designing Cost-Effective Sampling Schemes 9.3. Designing a Robust Measurement System 9.4. Measurement System Validation; 9.5. Repeatability and Reproducibility (R&R) Study; 9.6. Questions to Ask; 10. HOW TO USE THEORY EFFECTIVELY?; 10.1. Empirical Models; 10.2. Mechanistic Models; 10.3. Mechanistic Model for Coat Weight CV; 10.4. Questions to Ask; 11. QUESTIONS AND ANSWERS; 11.1. Questions; 11.2. Answers; APPENDIX: TABLES; REFERENCES; INDEX |
| Record Nr. | UNISA-996215538503316 |
|
Joglekar Anand M
|
||
| Oxford, : Wileyl, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar
| Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar |
| Autore | Joglekar Anand M |
| Pubbl/distr/stampa | Oxford, : Wileyl, c2010 |
| Descrizione fisica | 1 online resource (283 p.) |
| Disciplina | 658.500727 |
| Soggetto topico |
Process control - Statistical methods
Quality control - Statistical methods Experimental design |
| ISBN |
1-282-68662-3
9786612686627 0-470-58414-9 0-470-58412-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INDUSTRIAL STATISTICS; CONTENTS; PREFACE; 1. BASIC STATISTICS: HOW TO REDUCE FINANCIAL RISK?; 1.1. Capital Market Returns; 1.2. Sample Statistics; 1.3. Population Parameters; 1.4. Confidence Intervals and Sample Sizes; 1.5. Correlation; 1.6. Portfolio Optimization; 1.7. Questions to Ask; 2. WHY NOT TO DO THE USUAL t-TEST AND WHAT TO REPLACE IT WITH?; 2.1. What is a t-Test and what is Wrong with It?; 2.2. Confidence Interval is Better Than a t-Test; 2.3. How Much Data to Collect?; 2.4. Reducing Sample Size; 2.5. Paired Comparison; 2.6. Comparing Two Standard Deviations
2.7. Recommended Design and Analysis Procedure 2.8. Questions to Ask; 3. DESIGN OF EXPERIMENTS: IS IT NOT GOING TO COST TOO MUCH AND TAKE TOO LONG?; 3.1. Why Design Experiments?; 3.2. Factorial Designs; 3.3. Success Factors; 3.4. Fractional Factorial Designs; 3.5. Plackett-Burman Designs; 3.6. Applications; 3.7. Optimization Designs; 3.8. Questions to Ask; 4. WHAT IS THE KEY TO DESIGNING ROBUST PRODUCTS AND PROCESSES?; 4.1. The Key to Robustness; 4.2. Robust Design Method; 4.3. Signal-to-Noise Ratios; 4.4. Achieving Additivity; 4.5. Alternate Analysis Procedure; 4.6. Implications for R&D 4.7. Questions to Ask 5. SETTING SPECIFICATIONS: ARBITRARY OR IS THERE A METHOD TO IT?; 5.1. Understanding Specifications; 5.2. Empirical Approach; 5.3. Functional Approach; 5.4. Minimum Life Cycle Cost Approach; 5.5. Questions to Ask; 6. HOW TO DESIGN PRACTICAL ACCEPTANCE SAMPLING PLANS AND PROCESS VALIDATION STUDIES?; 6.1. Single-Sample Attribute Plans; 6.2. Selecting AQL and RQL; 6.3. Other Acceptance Sampling Plans; 6.4. Designing Validation Studies; 6.5. Questions to Ask; 7. MANAGING AND IMPROVING PROCESSES: HOW TO USE AN AT-A-GLANCE-DISPLAY?; 7.1. Statistical Logic of Control Limits 7.2. Selecting Subgroup Size 7.3. Selecting Sampling Interval; 7.4. Out-of-Control Rules; 7.5. Process Capability and Performance Indices; 7.6. At-A-Glance-Display; 7.7. Questions to Ask; 8. HOW TO FIND CAUSES OF VARIATION BY JUST LOOKING SYSTEMATICALLY?; 8.1. Manufacturing Application; 8.2. Variance Components Analysis; 8.3. Planning for Quality Improvement; 8.4. Structured Studies; 8.5. Questions to Ask; 9. IS MY MEASUREMENT SYSTEM ACCEPTABLE AND HOW TO DESIGN, VALIDATE, AND IMPROVE IT?; 9.1. Acceptance Criteria; 9.2. Designing Cost-Effective Sampling Schemes 9.3. Designing a Robust Measurement System 9.4. Measurement System Validation; 9.5. Repeatability and Reproducibility (R&R) Study; 9.6. Questions to Ask; 10. HOW TO USE THEORY EFFECTIVELY?; 10.1. Empirical Models; 10.2. Mechanistic Models; 10.3. Mechanistic Model for Coat Weight CV; 10.4. Questions to Ask; 11. QUESTIONS AND ANSWERS; 11.1. Questions; 11.2. Answers; APPENDIX: TABLES; REFERENCES; INDEX |
| Record Nr. | UNINA-9910140598003321 |
|
Joglekar Anand M
|
||
| Oxford, : Wileyl, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar
| Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar |
| Autore | Joglekar Anand M |
| Pubbl/distr/stampa | Oxford, : Wileyl, c2010 |
| Descrizione fisica | 1 online resource (283 p.) |
| Disciplina | 658.500727 |
| Soggetto topico |
Process control - Statistical methods
Quality control - Statistical methods Experimental design |
| ISBN |
1-282-68662-3
9786612686627 0-470-58414-9 0-470-58412-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INDUSTRIAL STATISTICS; CONTENTS; PREFACE; 1. BASIC STATISTICS: HOW TO REDUCE FINANCIAL RISK?; 1.1. Capital Market Returns; 1.2. Sample Statistics; 1.3. Population Parameters; 1.4. Confidence Intervals and Sample Sizes; 1.5. Correlation; 1.6. Portfolio Optimization; 1.7. Questions to Ask; 2. WHY NOT TO DO THE USUAL t-TEST AND WHAT TO REPLACE IT WITH?; 2.1. What is a t-Test and what is Wrong with It?; 2.2. Confidence Interval is Better Than a t-Test; 2.3. How Much Data to Collect?; 2.4. Reducing Sample Size; 2.5. Paired Comparison; 2.6. Comparing Two Standard Deviations
2.7. Recommended Design and Analysis Procedure 2.8. Questions to Ask; 3. DESIGN OF EXPERIMENTS: IS IT NOT GOING TO COST TOO MUCH AND TAKE TOO LONG?; 3.1. Why Design Experiments?; 3.2. Factorial Designs; 3.3. Success Factors; 3.4. Fractional Factorial Designs; 3.5. Plackett-Burman Designs; 3.6. Applications; 3.7. Optimization Designs; 3.8. Questions to Ask; 4. WHAT IS THE KEY TO DESIGNING ROBUST PRODUCTS AND PROCESSES?; 4.1. The Key to Robustness; 4.2. Robust Design Method; 4.3. Signal-to-Noise Ratios; 4.4. Achieving Additivity; 4.5. Alternate Analysis Procedure; 4.6. Implications for R&D 4.7. Questions to Ask 5. SETTING SPECIFICATIONS: ARBITRARY OR IS THERE A METHOD TO IT?; 5.1. Understanding Specifications; 5.2. Empirical Approach; 5.3. Functional Approach; 5.4. Minimum Life Cycle Cost Approach; 5.5. Questions to Ask; 6. HOW TO DESIGN PRACTICAL ACCEPTANCE SAMPLING PLANS AND PROCESS VALIDATION STUDIES?; 6.1. Single-Sample Attribute Plans; 6.2. Selecting AQL and RQL; 6.3. Other Acceptance Sampling Plans; 6.4. Designing Validation Studies; 6.5. Questions to Ask; 7. MANAGING AND IMPROVING PROCESSES: HOW TO USE AN AT-A-GLANCE-DISPLAY?; 7.1. Statistical Logic of Control Limits 7.2. Selecting Subgroup Size 7.3. Selecting Sampling Interval; 7.4. Out-of-Control Rules; 7.5. Process Capability and Performance Indices; 7.6. At-A-Glance-Display; 7.7. Questions to Ask; 8. HOW TO FIND CAUSES OF VARIATION BY JUST LOOKING SYSTEMATICALLY?; 8.1. Manufacturing Application; 8.2. Variance Components Analysis; 8.3. Planning for Quality Improvement; 8.4. Structured Studies; 8.5. Questions to Ask; 9. IS MY MEASUREMENT SYSTEM ACCEPTABLE AND HOW TO DESIGN, VALIDATE, AND IMPROVE IT?; 9.1. Acceptance Criteria; 9.2. Designing Cost-Effective Sampling Schemes 9.3. Designing a Robust Measurement System 9.4. Measurement System Validation; 9.5. Repeatability and Reproducibility (R&R) Study; 9.6. Questions to Ask; 10. HOW TO USE THEORY EFFECTIVELY?; 10.1. Empirical Models; 10.2. Mechanistic Models; 10.3. Mechanistic Model for Coat Weight CV; 10.4. Questions to Ask; 11. QUESTIONS AND ANSWERS; 11.1. Questions; 11.2. Answers; APPENDIX: TABLES; REFERENCES; INDEX |
| Record Nr. | UNINA-9910809710903321 |
|
Joglekar Anand M
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| Oxford, : Wileyl, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Interpretive research design : concepts and processes / / Peregrine Schwartz-Shea and Dvora Yanow
| Interpretive research design : concepts and processes / / Peregrine Schwartz-Shea and Dvora Yanow |
| Autore | Schwartz-Shea Peregrine <1955-, > |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York, N.Y. : , : Routledge, , [2012] |
| Descrizione fisica | 1 online resource (200 pages) |
| Disciplina | 001.4/34 |
| Altri autori (Persone) | YanowDvora |
| Collana | Routledge series on interpretive methods |
| Soggetto topico |
Science - Methodology
Experimental design |
| ISBN |
1-136-99382-7
1-299-69307-5 1-136-99383-5 0-203-85490-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INTERPRETIVE RESEARCH DESIGN Concepts and Processes; Copyright; Contents; List of Illustrations; Acknowledgments; Introduction; A Sketch of the Book; 1 Wherefore Research Designs?; Research Design: Why Is It Necessary?; An Outline of a Research Proposal, Including the Research Design; 2 Ways of Knowing: Research Questions and Logics of Inquiry; Where Do Research Questions Come From? The Role of Prior Knowledge; Where Do Research Questions Come From? Abductive Ways of Knowing; Where Do Research Questions Come From? The Role of Theory and the "Literature Review"
Do Concepts "Emerge from the Field"? More on Theory and TheorizingWhere Do Research Questions Come From? Ontological and Epistemological Presuppositions in Interpretive Research; A Short Bibliography of Key Sources in Interpretive Social Science; 3 Starting from Meaning: Contextuality and Its Implications; Contrasting Orientations toward Knowledge; Contextuality and the Character of Concepts and Causality; Concepts: Bottom-up In Situ Development; But What of Hypothesizing? Constitutive Causality; The Centrality of Context; 4 The Rhythms of Interpretive Research I: Getting Going Access: Choices of Settings, Actors, Events, Archives, and MaterialsPower and Research Relationships; Researcher Roles: Six Degrees of Participation; Access, Researcher Roles, and Positionality; Access and Archives; Access versus Case Selection; Design Flexibility: Control and Requisite Researcher Skills; Control and Positivist Research Design; The Logics of Control and Interpretive Research; Interpretive Researcher Competence and Skill; 5 The Rhythms of Interpretive Research II: Understanding and Generating Evidence; The Character of Evidence: (Co-)Generated Data and "Truth" Forms of Evidence: Word-Data and BeyondMapping for Exposure and Intertextuality; Fieldnote Practices; 6 Designing for Trustworthiness: Knowledge Claims and Evaluations of Interpretive Research; Understanding the Limitations of Positivist Standards for Interpretive Research: Validity, Reliability, and Replicability; The Problems of "Bias" and "Researcher Presence": "Objectivity" and Contrasting Methodological Responses; Researcher Sense-Making in an Abductive Logic of Inquiry: Reflexivity and Other Checks for Designing Trustworthy Research; Checking Researcher Sense-Making through Reflexivity Checking Researcher Sense-Making during Data Generation and AnalysisChecking Researcher Sense-Making through "Member- Checking"; Doubt, Trustworthiness, and Explanatory Coherence; "Researcher Contamination" and "Bias" Revisited; Summing Up; 7 Design in Context: From the Human Side of Research to Writing Research Manuscripts; The Body in the Field: Emotions, Sexuality, Wheelchairedness, and Other Human Realities; Interpretive Research and Human Subjects Protections Review; Data Archiving and Replicability; Writing Research Designs and Manuscripts; 8 Speaking across Epistemic Communities Designing for "Mixed Methods" Research |
| Record Nr. | UNINA-9910452163303321 |
|
Schwartz-Shea Peregrine <1955-, >
|
||
| New York, N.Y. : , : Routledge, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Interpretive research design : concepts and processes / / Peregrine Schwartz-Shea and Dvora Yanow
| Interpretive research design : concepts and processes / / Peregrine Schwartz-Shea and Dvora Yanow |
| Autore | Schwartz-Shea Peregrine <1955-, > |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York, N.Y. : , : Routledge, , 2012 |
| Descrizione fisica | 1 online resource (200 pages) |
| Disciplina | 001.4/34 |
| Altri autori (Persone) | YanowDvora |
| Collana | Routledge series on interpretive methods |
| Soggetto topico |
Science - Methodology
Experimental design |
| ISBN |
1-136-99382-7
1-299-69307-5 1-136-99383-5 0-203-85490-X |
| Classificazione | POL000000SOC026000SOC026030 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INTERPRETIVE RESEARCH DESIGN Concepts and Processes; Copyright; Contents; List of Illustrations; Acknowledgments; Introduction; A Sketch of the Book; 1 Wherefore Research Designs?; Research Design: Why Is It Necessary?; An Outline of a Research Proposal, Including the Research Design; 2 Ways of Knowing: Research Questions and Logics of Inquiry; Where Do Research Questions Come From? The Role of Prior Knowledge; Where Do Research Questions Come From? Abductive Ways of Knowing; Where Do Research Questions Come From? The Role of Theory and the "Literature Review"
Do Concepts "Emerge from the Field"? More on Theory and TheorizingWhere Do Research Questions Come From? Ontological and Epistemological Presuppositions in Interpretive Research; A Short Bibliography of Key Sources in Interpretive Social Science; 3 Starting from Meaning: Contextuality and Its Implications; Contrasting Orientations toward Knowledge; Contextuality and the Character of Concepts and Causality; Concepts: Bottom-up In Situ Development; But What of Hypothesizing? Constitutive Causality; The Centrality of Context; 4 The Rhythms of Interpretive Research I: Getting Going Access: Choices of Settings, Actors, Events, Archives, and MaterialsPower and Research Relationships; Researcher Roles: Six Degrees of Participation; Access, Researcher Roles, and Positionality; Access and Archives; Access versus Case Selection; Design Flexibility: Control and Requisite Researcher Skills; Control and Positivist Research Design; The Logics of Control and Interpretive Research; Interpretive Researcher Competence and Skill; 5 The Rhythms of Interpretive Research II: Understanding and Generating Evidence; The Character of Evidence: (Co-)Generated Data and "Truth" Forms of Evidence: Word-Data and BeyondMapping for Exposure and Intertextuality; Fieldnote Practices; 6 Designing for Trustworthiness: Knowledge Claims and Evaluations of Interpretive Research; Understanding the Limitations of Positivist Standards for Interpretive Research: Validity, Reliability, and Replicability; The Problems of "Bias" and "Researcher Presence": "Objectivity" and Contrasting Methodological Responses; Researcher Sense-Making in an Abductive Logic of Inquiry: Reflexivity and Other Checks for Designing Trustworthy Research; Checking Researcher Sense-Making through Reflexivity Checking Researcher Sense-Making during Data Generation and AnalysisChecking Researcher Sense-Making through "Member- Checking"; Doubt, Trustworthiness, and Explanatory Coherence; "Researcher Contamination" and "Bias" Revisited; Summing Up; 7 Design in Context: From the Human Side of Research to Writing Research Manuscripts; The Body in the Field: Emotions, Sexuality, Wheelchairedness, and Other Human Realities; Interpretive Research and Human Subjects Protections Review; Data Archiving and Replicability; Writing Research Designs and Manuscripts; 8 Speaking across Epistemic Communities Designing for "Mixed Methods" Research |
| Record Nr. | UNINA-9910779031403321 |
|
Schwartz-Shea Peregrine <1955-, >
|
||
| New York, N.Y. : , : Routledge, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
