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Introduction to research methods and statistics in psychology : a practical guide for the undergraduate researcher / / Ronald A. McQueen, Christina Knussen
| Introduction to research methods and statistics in psychology : a practical guide for the undergraduate researcher / / Ronald A. McQueen, Christina Knussen |
| Autore | McQueen R. A. |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Harlow, England : , : Pearson, , [2013] |
| Descrizione fisica | 1 online resource (575 pages) : illustrations (some color) |
| Disciplina | 150.721 |
| Collana | Always Learning |
| Soggetto topico |
Psychology - Research - Methodology
Psychometrics |
| ISBN | 0-273-73510-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Cover2 -- Cover3 -- Contents -- Preface to the second edition -- Guided tour -- Authors' acknowledgements -- Publisher's acknowledgements -- Part 1: Introduction -- Chapter 1: Introducing research -- 1.1 Psychology, a definition -- 1.2 Research and scientific method -- 1.3 Secondary research -- 1.4 Beginning your research project -- 1.5 Reviewing the literature -- 1.6 The structure of a research project -- Review -- Suggested further reading -- Part 2: Planning and designing a research project -- Chapter 2: The nature of research design -- 2.1 The purpose of a design -- 2.2 The world of variables -- 2.3 Variables and levels of measurement -- Review -- Suggested further reading -- Chapter 3: experimental research designs -- 3.1 Introduction to experimental research -- 3.2 Experimental design -- 3.3 Between-groups designs (independent-groups designs) -- 3.4 Within-subjects designs (repeated-measures designs) -- 3.5 Non-equivalent groups (quasi-experimental) design -- 3.6 Factorial designs -- 3.7 Mixed designs -- Review -- Suggested further reading -- Chapter 4: Correlational and regression designs -- 4.1 Correlational designs -- 4.2 Partial correlation -- 4.3 Multiple correlation and regression -- Review -- Suggested further reading -- Part 3: Carrying out research: methods and procedures -- Chapter 5: The essentials of carrying out research: the participants -- 5.1 The role of procedure -- 5.2 The stuff of research - whom will you use? -- 5.3 Samples and populations -- 5.4 Sampling techniques -- 5.5 Non-probability sampling -- 5.6 Samples - how to get them -- 5.7 How many participants? -- 5.8 Sample size in estimating population characteristics -- 5.9 Sample size in hypothesis testing -- 5.10 Secondary research and survey data -- Review -- Suggested further reading -- Chapter 6: Ethics and research -- 6.1 Carrying out ethical research.
6.2 Participants -- 6.3 Apparatus -- 6.4 Procedural issues -- 6.5 Ethics and online research -- 6.6 Practical issues -- Review -- Suggested further reading -- Chapter 7: Using questionnaires in research -- 7.1 Questionnaire design - how to get information -- 7.2 The importance of 'who' is asking the questions -- 7.3 The format of a question -- 7.4 Types of scale - closed-ended questions -- 7.5 Types of scale - open-ended questions -- 7.6 Special techniques for information gathering: focus groups -- 7.7 Pilot research -- 7.8 Using standardised instruments in research -- 7.9 What you need to know about psychological tests -- Review -- Suggested further reading -- Part 4: Describing your data -- Chapter 8: Tables, figures and descriptive statistics -- 8.1 How the world can be represented numerically -- 8.2 Making sense of numbers -- 8.3 Tables and categorical variables -- 8.4 Figures and categorical variables -- 8.5 The rules for drawing graphs and charts -- 8.6 Tables and continuous variables -- 8.7 The stemplot -- 8.8 Figures and continuous variables -- 8.9 Continuous variables and the boxplot -- 8.10 Continuous-scaled data and the bar chart -- 8.11 Continuous-scaled data and line graphs -- 8.12 Statistics -- 8.13 Dispersion -- 8.14 The normal distribution -- 8.15 Practical implications -- 8.16 The standard normal distribution -- Review -- Suggested further reading -- Chapter 9: Introducing SPSS -- 9.1 Computer analysis and SPSS -- 9.2 The starting point: what to do with your data -- 9.3 The basics of working with SPSS: setting up variables and data entry -- 9.4 Coding: an overview -- 9.5 How to code ordinal and nominal category data -- 9.6 How to code - and recode - continuous data -- 9.7 Entering data and naming variables: an overview -- 9.8 Data entry: between-group designs -- 9.9 Data entry: within-subjects designs -- 9.10 Setting up data in SPSS. 9.11 Naming and defining variables -- 9.12 Describing data in SPSS: an overview -- 9.13 Using SPSS to describe our data -- 9.14 Tables and figures for category variables -- 9.15 Figures and associated category variables -- 9.16 A word of caution on crosstabulation -- 9.17 Graphs and crosstabulated data for selected cases -- 9.18 Selecting cases: a word of caution -- 9.19 Describing continuous variables -- 9.20 Screening data -- Review -- Suggested further reading -- Part 5: Drawing inferences and testing hypotheses -- Chapter 10: Introducing inferential statistics and tests of differences -- 10.1 Inferential statistics -- 10.2 Probability explained -- 10.3 Scope for errors -- 10.4 One- and two-tailed tests -- 10.5 Effect size and power -- 10.6 A priori and post hoc power analyses -- 10.7 Comparing samples and populations - an overview -- 10.8 Comparing samples and populations - the standard error of the mean -- 10.9 Parametric and non-parametric data -- 10.10 Tests of differences - between-group comparisons -- 10.11 Tests of differences - within-group comparisons (repeated measures) -- Review -- Suggested further reading -- Chapter 11: Tests of association -- 11.1 The chi-square (x2) test of association -- 11.2 Correlation -- 11.3 Simple regression -- 11.4 The coefficient of determination (r2 ) -- 11.5 Internal consistency: Cronbach's alpha -- Review -- Suggested further reading -- Chapter 12: Advanced analysis -- 12.1 Two-way ANOVA -- 12.2 Locating an effect in two-way ANOVA -- 12.3 Post hoc testing for an interaction effect -- 12.4 Partial correlation -- 12.5 Multiple regression -- Review -- Suggested further reading -- Part 6: Carrying out qualitative research -- Chapter 13: Introducing qualitative research -- 13.1 An example of a qualitative study -- 13.2 Qualitative or quantitative? -- 13.3 Representing the experiences of people. 13.4 Knowledge of a particular phenomenon -- 13.5 Previous research -- 13.6 Availability of participants -- 13.7 Time factors -- 13.8 Your supervisor -- 13.9 Mixed methods -- 13.10 Different types of qualitative research -- 13.11 Planning a qualitative study -- 13.12 Research questions and the conceptual framework -- 13.13 Deciding on the method -- 13.14 Piloting -- 13.15 Other points to consider at an early stage of qualitative research -- 13.16 Collecting data -- 13.17 Dealing with qualitative data -- 13.18 The quality of the research -- Review -- Suggested further reading -- Part 7: Writing up research -- Chapter 14: Writing up your research -- 14.1 The purpose of a report -- 14.2 Writing guidelines -- 14.3 The structure of a psychology report -- 14.4 Title -- 14.5 Abstract -- 14.6 Contents -- 14.7 Introduction -- 14.8 Method -- 14.9 Results -- 14.10 Presenting tables and figures -- 14.11 Discussion -- 14.12 References -- 14.13 Appendices -- 14.14 Writing up qualitative research -- 14.15 Presentation and style -- Review -- Appendix A: Area under the normal curve -- Appendix B: Critical values of U and U' -- Appendix C: Critical values of t -- Appendix D: Critical values of T at various levels of probability -- Appendix E: Table of x2 -- Appendix F: Quick guides -- Glossary of key terms -- References -- Index. |
| Record Nr. | UNINA-9910150225403321 |
McQueen R. A.
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| Harlow, England : , : Pearson, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A Guide to Research Methodology [[electronic resource] ] : An Overview of Research Problems, Tasks and Methods
| A Guide to Research Methodology [[electronic resource] ] : An Overview of Research Problems, Tasks and Methods |
| Autore | Mukherjee Shyama Prasad |
| Pubbl/distr/stampa | Milton, : CRC Press LLC, 2019 |
| Descrizione fisica | 1 online resource (255 pages) |
| Disciplina | 001.42 |
| Soggetto topico | Research - Methodology |
| ISBN |
1-000-62739-X
1-000-61741-6 0-429-28909-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Half Title; Title Page; Copyright Page; Table of contents; Preface; Acknowledgements; About the Author; 1 Research -- Objectives and Process; 1.1 Introduction; 1.2 Research Objectives; 1.3 Types of Research; 1.4 Research Process and Research Output; 1.5 Phases in Research; 1.6 Innovation and Research; 1.7 Changing Nature and Expanding Scope of Research; 1.8 Need for Research Methodology; Concluding Remarks; 2 Formulation of Research Problems; 2.1 Nature of Research Problems; 2.2 Choice of Problem Area; 2.3 Formulation of Research Problems; 2.4 Role of Counter-Examples and Paradoxes
2.5 Illustrations of Problems2.6 Concretizing Problem Formulation; 3 Research Design; 3.1 Introduction; 3.2 Choice of Variables; 3.3 Choice of Proxy Variables; 3.4 Design for Gathering Data; 3.4.1 Need for Data; 3.4.2 Mechanisms for Data Collection; 3.4.3 Design for Data Collection; 3.5 Measurement Design; 3.6 Quality of Measurements; 3.7 Design of Analysis; 3.8 Credibility and Generalizability of Findings; 3.9 Interpretation of Results; 3.10 Testing Statistical Hypotheses; 3.11 Value of Information; 3.12 Grounded Theory Approach; 3.13 Ethical Considerations; 4 Collection of Data 4.1 Introduction4.2 Collection of Primary Data; 4.2.1 Sample Surveys and Designed Experiments; 4.2.2 Design of Questionnaires; 4.2.3 Scaling of Responses; An Example; 4.2.4 Survey Data Quality; 4.3 Planning of Sample Surveys; 4.3.1 Some General Remarks; 4.3.2 Problems in Planning a Large-Scale Sample Survey; Problems in Developing a Sampling Frame; Problems in Use of Stratification; Sample Size Determination; 4.3.3 Abuse of Sampling; 4.3.4 Panel Surveys; 4.4 Use of Designed Experiments; 4.4.1 Types and Objectives of Experiments; 4.5 Collection of Secondary Data 4.6 Data for Bio-Medical Research4.7 Data for Special Purposes; 4.8 Data Integration; 5 Sample Surveys; 5.1 Introduction; 5.2 Non-Probability Sampling; 5.3 Randomized Response Technique; 5.4 Panel Surveys; 5.5 Problems in Use of Stratified Sampling; 5.5.1 Problem of Constructing Strata; 5.5.2 Problem of Allocation of the Total Sample across Strata; 5.6 Small-Area Estimation; 5.7 Network Sampling; 5.8 Estimation without Sampling; 5.9 Combining Administrative Records with Survey Data; 6 More about Experimental Designs; 6.1 Introduction; 6.2 Optimality of Designs 6.3 Fractional Factorial Experiments6.4 Other Designs to Minimize the Number of Design Points; 6.5 Mixture Experiments; 6.6 Sequential Experiments: Alternatives to Factorial Experiments; 6.7 Multi-Response Experiments; 6.8 Design Augmentation; 6.9 Designs for Clinical Trials; 7 Models and Modelling; 7.1 The Need for Models; 7.2 Modelling Exercise; 7.3 Types of Models; 7.4 Probability Models; 7.4.1 Generalities; 7.4.3 Discretization of Continuous Distributions; 7.4.4 Multivariate Distributions; 7.4.5 Use of Copulas; 7.4.6 Choosing a Probability Model; 7.5 Models Based on Differential Equations |
| Record Nr. | UNINA-9910793898403321 |
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Mukherjee Shyama Prasad
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| Milton, : CRC Press LLC, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Challenges of MRI : Techniques and Quantitative Methods for Health
| The Challenges of MRI : Techniques and Quantitative Methods for Health |
| Autore | Ratiney Helene |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (398 pages) |
| Disciplina | 616.07548 |
| Altri autori (Persone) | BeufOlivier |
| Soggetto topico |
Magnetic resonance imaging
Diagnostic imaging |
| ISBN |
9781394284030
1394284039 9781394284009 1394284004 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Introduction -- Chapter 1. MRI Principles, Hardware Components and Quantification -- 1.1. Introduction -- 1.2. Macroscopic magnetization and static magnetic field B0 -- 1.2.1. Nuclear magnetization -- 1.2.2. Magnet -- 1.2.3. Roles and orders of magnitude -- 1.2.4. Technical approaches -- 1.2.5. Novel technologies -- 1.3. Description of the magnetization evolution -- 1.4. Excitation: perturbing the magnetization -- 1.4.1. Principle -- 1.4.2. Transmit coil -- 1.4.3. Radiofrequency signal reception -- 1.5. Spatial localization in MRI -- 1.5.1. Principle -- 1.5.2. Magnetic field gradients -- 1.6. Signal-to-noise ratio notion in MRI -- 1.7. Useful signal and information -- 1.7.1. A "complex" signal in a mathematical and bio-physical sense -- 1.7.2. From qualitative to quantitative -- 1.8. Conclusion -- 1.9. Acknowledgments -- 1.10. References -- Chapter 2. Radiofrequency Coils: Theoretical Principles and Practical Guidelines -- 2.1. Coil as an electrical resonant circuit -- 2.1.1. Basic concepts -- 2.1.2. Coil tuning and matching -- 2.2. Coil as a source of a magnetic RF field -- 2.2.1. Polarization and 1 B+ and 1 B- fields -- 2.3. Transmit coil -- 2.4. Receive coil -- 2.4.1. Sensitivity factor -- 2.4.2. Noise regimes -- 2.5. Decoupling -- 2.6. RF coil and safety -- 2.6.1. Specific absorption rate and temperature -- 2.6.2. Transmission and safety -- 2.7. Advanced topics and coil challenges -- 2.8. Conclusion -- 2.9. References -- Chapter 3. Fast Imaging and Acceleration Techniques -- 3.1. Introduction -- 3.2. Definition of fast imaging -- 3.3. Fast accelerated sequences -- 3.3.1. Sequence optimization -- 3.3.2. Turbo spin echo and echo-planar imaging -- 3.3.3. Non-Cartesian methods -- 3.4. Acceleration methods -- 3.4.1. Partial Fourier -- 3.4.2. Parallel imaging.
3.4.3. Simultaneous multislice imaging -- 3.4.4. Iterative reconstruction -- 3.5. Applications -- 3.6. References -- Chapter 4. The Basics of Diffusion and Intravoxel Incoherent Motion MRI -- 4.1. Introduction -- 4.2. The history and physics of diffusion -- 4.3. Diffusion and NMR -- 4.3.1. First NMR measurements of diffusion -- 4.3.2. Measurements of diffusion with pulsed gradients: the Stejskal and Tanner method -- 4.4. Water diffusion in biological tissues -- 4.5. Diffusion magnetic resonance imaging -- 4.5.1. Diffusion MRI pulse sequences -- 4.5.2. Applications of DW-MRI -- 4.6. IntraVoxel Incoherent Motion MRI -- 4.7. Conclusion -- 4.8. References -- Chapter 5. Functional MRI -- 5.1. BOLD-contrast functional imaging and brain connectivity -- 5.1.1. Introduction -- 5.1.2. BOLD-contrast functional MRI principles -- 5.1.3. fMRI activation paradigms -- 5.1.4. Resting fMRI and functional cerebral connectivity mapping -- 5.2. Diffusion MRI and brain function -- 5.2.1. Introduction -- 5.2.2. IVIM fMRI -- 5.2.3. Diffusion functional MRI -- 5.2.4. Toward functional tractography: a global diffusion framework within the brain connectome -- 5.3. Conclusion -- 5.4. References -- Chapter 6. Vascular Imaging: Flow and Perfusion -- 6.1. Introduction -- 6.2. Contrast agents -- 6.2.1. Biological behavior -- 6.2.2. Diamagnetism, paramagnetism and superparamagnetism -- 6.2.3. Relaxivity effect -- 6.2.4. Susceptibility effect -- 6.3. Angiography -- 6.3.1. White-blood imaging -- 6.3.2. Phase contrast imaging -- 6.3.3. Black-blood imaging -- 6.3.4. Other techniques -- 6.3.5. Dynamic angiography -- 6.4. Perfusion imaging -- 6.4.1. Dynamic susceptibility contrast -- 6.4.2. Dynamic contrast-enhanced -- 6.4.3. Arterial spin labeling (ASL) -- 6.4.4. Experimental approaches -- 6.5. Considerations for imaging in humans and small animals -- 6.5.1. Angiography in rodents. 6.5.2. Perfusion MRI in rodents -- 6.6. References -- Chapter 7. Quantitative Biomechanical Imaging via Magnetic Resonance Elastography -- 7.1. Fundamentals of magnetic resonance elastography -- 7.1.1. Introduction -- 7.1.2. MRE signal encoding -- 7.1.3. MRE data reconstruction -- 7.2. MRE sequences -- 7.2.1. Fractional encoding -- 7.2.2. Multidirectional encoding -- 7.2.3. Diffusion MRE -- 7.2.4. Optimal control MRE -- 7.3. Main targeted organs and applications -- 7.3.1. Liver MRE -- 7.3.2. Brain MRE -- 7.3.3. MRE and other organs -- 7.3.4. Other applications -- 7.4. Conclusion -- 7.5. Acknowledgments -- 7.6. References -- Chapter 8. Imaging of Dipolar Interactions in Biological Tissues: ihMT and UTE -- 8.1. Introduction -- 8.2. Origins of ultrashort T2 -- 8.2.1. Dipolar coupling in NMR -- 8.2.2. Dipolar resonance line broadening -- 8.2.3. Motional averaging -- 8.3. Imaging of the inhomogeneous magnetization transfer -- 8.3.1. Dipolar order and radiofrequency saturation -- 8.3.2. Dipolar order and inhomogeneous magnetization transfer -- 8.3.3. Specificity of the ihMT signal and relaxation of the dipolar order -- 8.3.4. Specificity of the ihMT signal to myelin -- 8.3.5. Research outlook -- 8.4. Ultrashort echo time imaging -- 8.4.1. Definition of T2 ranges -- 8.4.2. Distribution of short T2 values in cerebral tissue -- 8.4.3. What are the technical challenges for detecting signals with ultrashort T2? -- 8.4.4. What are the challenges for the characterization of signals with ultrashort T2 in the cerebral tissue? -- 8.4.5. Applications: myelin imaging -- 8.5. Conclusion -- 8.6. References -- Chapter 9. In Vivo MR Spectroscopy and Metabolic Imaging -- 9.1. Introduction -- 9.2. In vivo MR spectroscopy -- 9.2.1. Free induction decay signal -- 9.2.2. Chemical shift and dipolar coupling -- 9.2.3. Metabolites investigated in MRS. 9.2.4. Principle of signal localization -- 9.2.5. Signal editing, suppression and inversion -- 9.2.6. Experimental considerations in MRS -- 9.3. Processing and quantification of MRS signals -- 9.3.1. Good practices for preprocessing MRS/CSI data -- 9.3.2. Quantification method -- 9.4. Chemical exchange saturation transfer imaging -- 9.4.1. General principle -- 9.4.2. Conditions for CEST effect -- 9.4.3. Saturation transfer -- 9.4.4. Characterization of the magnetization transfer -- 9.5. Non-proton nuclei MR spectroscopy or imaging -- 9.5.1. Nuclei of interest in metabolic MRS/MRI -- 9.5.2. Applications overview -- 9.6. Conclusion -- 9.7. References -- Chapter 10. Physical-model-constrained MRI: Fast Multiparametric Quantification -- 10.1. Introduction -- 10.2. Multiparametric MRI based on chemical-shift-sensitive acquisitions -- 10.2.1. Signal's origin and chemical-shift-encoded acquisitions -- 10.2.2. Physical models and optimization methods for the quantification -- 10.2.3. Clinical and preclinical applications -- 10.3. Multiparametric MRI using steady-state acquisitions in repeated fast sequences -- 10.3.1. Steady state in a stationary sequence without transverse effects -- 10.3.2. Transverse effects considerations for describing steady states -- 10.3.3. Uses in multiparametric quantitative imaging -- 10.3.4. Clinical and preclinical applications -- 10.3.5. Conclusion -- 10.4. MRI fingerprinting -- 10.4.1. Concept -- 10.4.2. Different types of measurements -- 10.4.3. Technical developments -- 10.4.4. Applications and perspectives -- 10.5. Conclusion -- 10.6. References -- Chapter 11. Interventional MRI -- 11.1. Introduction to interventional MRI -- 11.1.1. Intervention planning -- 11.1.2. Pre-operatory imaging -- 11.1.3. Post-operative follow-up imaging -- 11.2. Technical considerations in interventional MRI. 11.2.1. Choice of the MRI acquisition sequence -- 11.2.2. Image reconstruction -- 11.2.3. Image analysis and display -- 11.2.4. Motion management -- 11.3. Interventional MRI hardware -- 11.3.1. Intracorporeal medical devices -- 11.3.2. Extracorporeal therapeutic medical devices -- 11.4. MR-Linac -- 11.5. MRI thermometry for guided thermal therapies -- 11.5.1. Principle of MRI thermometry -- 11.5.2. Practical implementation, advantages and limitations of MRI thermometry -- 11.6. High-intensity focused ultrasound -- 11.6.1. General principles -- 11.6.2. Application domains -- 11.7. Perspectives of interventional MRI -- 11.8. References -- Chapter 12. Ultra-high Field Imaging -- 12.1. Historical overview -- 12.2. Quest toward higher field MR systems - why? -- 12.2.1. Advantages and benefits of ultra-high field systems -- 12.2.2. Disadvantages and challenges -- 12.3. Quest toward higher fields - how? -- 12.3.1. Technical constraints -- 12.3.2. Physiological constraints, contraindications and safety -- 12.4. Main applications and novel opportunities -- 12.4.1. Cerebrovascular diseases -- 12.4.2. Brain tumors -- 12.4.3. Focal epilepsy -- 12.4.4. Multiple sclerosis -- 12.4.5. Sodium imaging -- 12.4.6. Creating new normalization spaces (templates) -- 12.4.7. Imaging of the cartilage and muscle injuries -- 12.5. Parallel transmission: technical solutions and imaging -- 12.6. Conclusion -- 12.7. Acknowledgments -- 12.8. References -- List of Authors -- Index -- EULA. |
| Record Nr. | UNINA-9911019506703321 |
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Ratiney Helene
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Research methods for accounting and finance [[electronic resource]] : a guide to writing your dissertation / / Audrey Paterson ... [and four others]
| Research methods for accounting and finance [[electronic resource]] : a guide to writing your dissertation / / Audrey Paterson ... [and four others] |
| Autore | Paterson Audrey |
| Pubbl/distr/stampa | Oxford, [United Kingdom] : , : Goodfellow Publishers Ltd, , 2016 |
| Descrizione fisica | 1 online resource (xvi, 282 pages) : illustrations |
| Disciplina | 657.072 |
| Collana | The Global Management Series |
| Soggetto topico |
Accounting - Research - Methodology
Finance - Research - Methodology |
| ISBN | 1-910158-90-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910798882403321 |
|
Paterson Audrey
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| Oxford, [United Kingdom] : , : Goodfellow Publishers Ltd, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Research methods for accounting and finance : a guide to writing your dissertation / / Audrey Paterson ... [and four others]
| Research methods for accounting and finance : a guide to writing your dissertation / / Audrey Paterson ... [and four others] |
| Autore | Paterson Audrey |
| Pubbl/distr/stampa | Oxford, [United Kingdom] : , : Goodfellow Publishers Ltd, , 2016 |
| Descrizione fisica | 1 online resource (xvi, 282 pages) : illustrations |
| Disciplina | 657.072 |
| Collana | The Global Management Series |
| Soggetto topico |
Accounting - Research - Methodology
Finance - Research - Methodology |
| ISBN |
9781910158906
1910158909 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910956876103321 |
|
Paterson Audrey
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| Oxford, [United Kingdom] : , : Goodfellow Publishers Ltd, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Free-format RPG IV : the express guide to learning free format / / Jim Martin
| Free-format RPG IV : the express guide to learning free format / / Jim Martin |
| Autore | Martin Jim |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Boise, Idaho : , : MC Press Online, LLC, , 2015 |
| Descrizione fisica | 1 online resource (233 p.) |
| Disciplina | 005.242 |
| Soggetto topico | RPG IV (Computer program language) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-58347-416-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Title Page; Copyright; Dedication; Acknowledgments; Contents; Preface to the Second Edition; A Note About Source Entry; Chapter 1: Pre-Free-Format RPG IV; RPG IV .; Extended Factor; Built-in Functions; Subprocedures; Other Changes; Some "Baggage" That Came Along; The Future; Chapter 2: The Case for Free-Format RPG; Easier to Read and Maintain; Good Field Naming; Indenting; Use of Comments; No Goto Operations; Conclusions; A "Modern" Programming Style; Free-Format RPG IV and C; Free-Format RPG IV and Java; Conclusions; Being "Current"; The Programmer's Perspective
Management's PerspectiveConclusions; Check It Out; Chapter 3: Free-Format H, F, D, and P Specifications; The H (Control) Specification; The F (File) Specifications; The D (Definition) Specifications; The P (Procedure) Specification; Conclusions; Chapter 4: Introducing Free-Format RPG IV; Coding Free-Format Calculations; Naming Variables; Programming Style; A Note About Case; Free-Format Operation Codes; Evaluate; If; Controlled Looping; Mathematics; Character Strings; Programming Style Issues; Mixing Formats; Keyed Access; Named Indicators; Naming File Indicators; Summing Up Chapter 5: Input/Output Using Free FormatDatabase Input; %Eof; %Found; %Error; %Equal; Data Area Input; Database Output; Write; Update; Delete; Except; Workstation I/O; Write/Read; Write; Read; ICF I/O; Dsply; Printer Output; Overflow Indicator; Write; Except; Chapter 6: Program Flow Using Free Format; The If Group; If; Else; Elseif; Endif; The Do Operations; Do While; Do Until; Dow and Dou Differences; For; Loop Interrupt.; Leave; Iter; The Select Group; Select; Operations Absent in Free Format; Chapter 7: Embedded SQL Operations Using Free Format; Database and Embedded SQL Fixed-Format MethodFree-Format Method; Chapter 8: Data-Manipulation Operations Using Free Format; Assignment Statements; Eval Operation: Numeric; Eval Operation: Character; Evaluate Right (EvalR) Operation; Eval Operation: IS,OC; Evaluate vs. Move; Built-in Functions; Converting Decimal to Character; Converting Character to Packed Decimal; Substringing; Replace; Scan and Replace; Concatenation and Trim; Converting Character to Integer; Extracting Size, Length, and Decimal Positions; Number of Elements; Looking for Something?; String Translation; Combining Built-in Functions Date and Time OperationsConverting Numbers to Date and Time; Converting Date and Time to Character or Decimal; Date and Time Arithmetic; Chapter 9: Math Operations in Free Format; Expressions in Assignment Statements and Elsewhere; Four-Function Math; Short-Form Math; Exponentiation; Precedence; Mathematical Expressions Elsewhere; Eval Differences in Fixed and Free Format; Naming Variables; Semicolon; Free-Format Math in RPG IV; Numeric Data Types; Changing Data Type; Chapter 10: Call and Return in Free Format; Call Prototyped (CallP) Operation; Dynamic Call; Bound Call Parameter-Passing Options |
| Record Nr. | UNINA-9910459679003321 |
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Martin Jim
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| Boise, Idaho : , : MC Press Online, LLC, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Free-format RPG IV : the express guide to learning free format / / Jim Martin
| Free-format RPG IV : the express guide to learning free format / / Jim Martin |
| Autore | Martin Jim |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Boise, Idaho : , : MC Press Online, LLC, , 2015 |
| Descrizione fisica | 1 online resource (233 p.) |
| Disciplina | 005.242 |
| Soggetto topico | RPG IV (Computer program language) |
| ISBN | 1-58347-416-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Title Page; Copyright; Dedication; Acknowledgments; Contents; Preface to the Second Edition; A Note About Source Entry; Chapter 1: Pre-Free-Format RPG IV; RPG IV .; Extended Factor; Built-in Functions; Subprocedures; Other Changes; Some "Baggage" That Came Along; The Future; Chapter 2: The Case for Free-Format RPG; Easier to Read and Maintain; Good Field Naming; Indenting; Use of Comments; No Goto Operations; Conclusions; A "Modern" Programming Style; Free-Format RPG IV and C; Free-Format RPG IV and Java; Conclusions; Being "Current"; The Programmer's Perspective
Management's PerspectiveConclusions; Check It Out; Chapter 3: Free-Format H, F, D, and P Specifications; The H (Control) Specification; The F (File) Specifications; The D (Definition) Specifications; The P (Procedure) Specification; Conclusions; Chapter 4: Introducing Free-Format RPG IV; Coding Free-Format Calculations; Naming Variables; Programming Style; A Note About Case; Free-Format Operation Codes; Evaluate; If; Controlled Looping; Mathematics; Character Strings; Programming Style Issues; Mixing Formats; Keyed Access; Named Indicators; Naming File Indicators; Summing Up Chapter 5: Input/Output Using Free FormatDatabase Input; %Eof; %Found; %Error; %Equal; Data Area Input; Database Output; Write; Update; Delete; Except; Workstation I/O; Write/Read; Write; Read; ICF I/O; Dsply; Printer Output; Overflow Indicator; Write; Except; Chapter 6: Program Flow Using Free Format; The If Group; If; Else; Elseif; Endif; The Do Operations; Do While; Do Until; Dow and Dou Differences; For; Loop Interrupt.; Leave; Iter; The Select Group; Select; Operations Absent in Free Format; Chapter 7: Embedded SQL Operations Using Free Format; Database and Embedded SQL Fixed-Format MethodFree-Format Method; Chapter 8: Data-Manipulation Operations Using Free Format; Assignment Statements; Eval Operation: Numeric; Eval Operation: Character; Evaluate Right (EvalR) Operation; Eval Operation: IS,OC; Evaluate vs. Move; Built-in Functions; Converting Decimal to Character; Converting Character to Packed Decimal; Substringing; Replace; Scan and Replace; Concatenation and Trim; Converting Character to Integer; Extracting Size, Length, and Decimal Positions; Number of Elements; Looking for Something?; String Translation; Combining Built-in Functions Date and Time OperationsConverting Numbers to Date and Time; Converting Date and Time to Character or Decimal; Date and Time Arithmetic; Chapter 9: Math Operations in Free Format; Expressions in Assignment Statements and Elsewhere; Four-Function Math; Short-Form Math; Exponentiation; Precedence; Mathematical Expressions Elsewhere; Eval Differences in Fixed and Free Format; Naming Variables; Semicolon; Free-Format Math in RPG IV; Numeric Data Types; Changing Data Type; Chapter 10: Call and Return in Free Format; Call Prototyped (CallP) Operation; Dynamic Call; Bound Call Parameter-Passing Options |
| Record Nr. | UNINA-9910796930803321 |
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Martin Jim
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| Boise, Idaho : , : MC Press Online, LLC, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Free-format RPG IV : the express guide to learning free format / / Jim Martin
| Free-format RPG IV : the express guide to learning free format / / Jim Martin |
| Autore | Martin Jim |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Boise, Idaho : , : MC Press Online, LLC, , 2015 |
| Descrizione fisica | 1 online resource (233 p.) |
| Disciplina | 005.242 |
| Soggetto topico | RPG IV (Computer program language) |
| ISBN | 1-58347-416-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Title Page; Copyright; Dedication; Acknowledgments; Contents; Preface to the Second Edition; A Note About Source Entry; Chapter 1: Pre-Free-Format RPG IV; RPG IV .; Extended Factor; Built-in Functions; Subprocedures; Other Changes; Some "Baggage" That Came Along; The Future; Chapter 2: The Case for Free-Format RPG; Easier to Read and Maintain; Good Field Naming; Indenting; Use of Comments; No Goto Operations; Conclusions; A "Modern" Programming Style; Free-Format RPG IV and C; Free-Format RPG IV and Java; Conclusions; Being "Current"; The Programmer's Perspective
Management's PerspectiveConclusions; Check It Out; Chapter 3: Free-Format H, F, D, and P Specifications; The H (Control) Specification; The F (File) Specifications; The D (Definition) Specifications; The P (Procedure) Specification; Conclusions; Chapter 4: Introducing Free-Format RPG IV; Coding Free-Format Calculations; Naming Variables; Programming Style; A Note About Case; Free-Format Operation Codes; Evaluate; If; Controlled Looping; Mathematics; Character Strings; Programming Style Issues; Mixing Formats; Keyed Access; Named Indicators; Naming File Indicators; Summing Up Chapter 5: Input/Output Using Free FormatDatabase Input; %Eof; %Found; %Error; %Equal; Data Area Input; Database Output; Write; Update; Delete; Except; Workstation I/O; Write/Read; Write; Read; ICF I/O; Dsply; Printer Output; Overflow Indicator; Write; Except; Chapter 6: Program Flow Using Free Format; The If Group; If; Else; Elseif; Endif; The Do Operations; Do While; Do Until; Dow and Dou Differences; For; Loop Interrupt.; Leave; Iter; The Select Group; Select; Operations Absent in Free Format; Chapter 7: Embedded SQL Operations Using Free Format; Database and Embedded SQL Fixed-Format MethodFree-Format Method; Chapter 8: Data-Manipulation Operations Using Free Format; Assignment Statements; Eval Operation: Numeric; Eval Operation: Character; Evaluate Right (EvalR) Operation; Eval Operation: IS,OC; Evaluate vs. Move; Built-in Functions; Converting Decimal to Character; Converting Character to Packed Decimal; Substringing; Replace; Scan and Replace; Concatenation and Trim; Converting Character to Integer; Extracting Size, Length, and Decimal Positions; Number of Elements; Looking for Something?; String Translation; Combining Built-in Functions Date and Time OperationsConverting Numbers to Date and Time; Converting Date and Time to Character or Decimal; Date and Time Arithmetic; Chapter 9: Math Operations in Free Format; Expressions in Assignment Statements and Elsewhere; Four-Function Math; Short-Form Math; Exponentiation; Precedence; Mathematical Expressions Elsewhere; Eval Differences in Fixed and Free Format; Naming Variables; Semicolon; Free-Format Math in RPG IV; Numeric Data Types; Changing Data Type; Chapter 10: Call and Return in Free Format; Call Prototyped (CallP) Operation; Dynamic Call; Bound Call Parameter-Passing Options |
| Record Nr. | UNINA-9910823354003321 |
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Martin Jim
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| Boise, Idaho : , : MC Press Online, LLC, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1 / / edited by D. Jude Hemanth, Utku Kose, Bogdan Patrut, Mevlut Ersoy
| Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1 / / edited by D. Jude Hemanth, Utku Kose, Bogdan Patrut, Mevlut Ersoy |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (291 pages) |
| Disciplina | 620.00151 |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures |
| Soggetto topico |
Computational intelligence
Artificial intelligence Engineering - Data processing Computational Intelligence Artificial Intelligence Data Engineering |
| ISBN | 3-031-56310-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Contents -- A Brief Survey on Exploring the Application Areas and Scope of ChatGPT -- 1 Introduction -- 2 About ChatGPT -- 3 Usage Areas -- 3.1 ChatGPT as an Add-On to Already Existing Software -- 3.2 ChatGPT Usage in Daily Life -- 4 Potential Risks of ChatGPT and Concerns -- 4.1 Educational Problems -- 4.2 Academic Problems -- 4.3 Social and Being Biased Problems -- 4.4 Cyber Problems -- 5 Papers -- 5.1 Highlights -- 6 ChatGPT Future Work and Expectations -- 7 Conclusions -- References -- Academic Performance Classification: Use of Supervised Learning Approach in Educational Data Mining -- 1 Introduction -- 2 Method -- 3 Findings and Discussion -- 3.1 Findings for Research Question 1 -- 3.2 Findings for Research Question 2 -- 3.3 Findings for Research Question 3 -- 3.4 Findings for Research Question 4 -- 4 Conclusions and Future Work -- References -- Artificial Intelligence-Based Engineering Applications a Comprehensive Review of Application Areas, Impacts and Challenges -- 1 Introduction -- 2 Common AI Techniques -- 3 AI Engineering Applications -- 4 Impacts of AI -- 5 Challenges of AI -- 6 Conclusions and Future Work -- References -- Artificial Intelligence Based Estimation of Individuals' Daily Energy Requirements with Anthropometric Measurements and Demographic Information -- 1 Introduction -- 1.1 Literature Review -- 2 Material and Method -- 2.1 Data Collection -- 2.2 Feature Selection -- 2.3 Regression Machine Learning -- 2.4 Performance Evaluation Criteria -- 3 Results -- 4 Discussion -- 5 Conclusions -- 6 Future Work -- References -- Calculating Bus Occupancy by Deep Learning Algorithms -- 1 Introduction -- 2 Proposed Approach -- 2.1 Person Detection -- 2.2 Tracking -- 2.3 Counting -- 2.4 Calculating Bus Occupancy -- 3 Custom Dataset -- 3.1 People Counting Dataset -- 3.2 Overhead View Dataset.
4 Experiments -- 4.1 Results -- 5 Conclusions -- References -- Classification of Elective Courses According to Kolb Learning Style Inventory by Using Machine Learning Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Machine Learning Methods -- 2.2 Dataset -- 2.3 Performance Measurement Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- Investigation of the Best AP Method for Predicting Compressive Strength in RAC -- 1 Introduction -- 2 Immune Plasma Programming and Versions -- 2.1 Immune Plasma Programming (IPP) -- 2.2 Single Dose IPP Algorithm (sdIPP) -- 2.3 Quick IPP Algorithm (qIPP) -- 3 Experimental Design -- 3.1 Dataset and Features -- 3.2 Parameters -- 3.3 Performance Evaluation Criteria -- 4 Simulation Results -- 5 Conclusions -- References -- Classification of Facial Images and Moods Using Image-Based Algorithms -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 4 Discussion -- 5 Conclusions -- References -- "Clip" Thinking in Artificial Intelligence as the Tool of Agile Projects Management -- 1 Introduction -- 2 Research Methodology -- 3 The Clip Thinking Principles -- 4 Conceptual Model of Clip Thinking in Agile Project Management -- 5 Conclusions and Future Work -- References -- Computational Modeling of Trailing Operations by Autonomous Boat -- 1 Introduction -- 2 Boat Dynamics Model -- 3 Autonomous Control Model -- 4 Modeling Results -- 5 Conclusions -- References -- Deep Learning-Based Hyperparameter Tuning and Performance Comparison -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Detection of Faults in High Voltage Power Transmission Lines Using Unmanned Aerial Vehicle with Artificial Intelligence Methods -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Method -- 3 Findings -- 4 Results. References -- Developing a Comprehensive Emotion Lexicon for Turkish -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Creating the Emotion Vectors -- 3.2 Calculating TF-IDF for Emotions -- 3.3 Preparing Data for Testing -- 3.4 Calculating the Distance -- 3.5 Creating a Test GUI -- 4 Discussion and Results -- 5 Conclusion -- Appendix -- References -- A Hyper-Heuristic Approach to Solving Vehicle Routing Problem in Military Logistics Distribution -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 3.1 Overview of Deep Learning and YoloV8 -- 3.2 Overview of Hyper-Heuristic Algorithms -- 3.3 Problem Definition and Solution -- 3.4 The Proposed Hyper-Heuristic Algorithm -- 4 Discussion and Results -- 5 Conclusions and Future Work -- References -- Electricity Price Forecasting Using Automatic Programming Methods -- 1 Introduction -- 2 Automatic Programming Methods -- 3 Experimental Design -- 3.1 Dataset and Analysis -- 3.2 Parameters -- 3.3 Evaluation Criteria -- 4 Simulation Results -- 4.1 Analysis of RMSE Values with T-Test -- 5 Conclusion -- References -- Ethical Considerations and Challenges of AI Adoption in Project Management -- 1 Ethics Re-emerging in the Digital World -- 2 Implementation of Ethics in the Organizational Context -- 3 Ethics in Projects -- 4 Survey on Ethical Considerations and Challenges of AI Adoption in Project Management -- 4.1 Methods Used -- 4.2 Statistics and Analysis -- 5 Conclusions and Future Work -- References -- Feature Processing on Artificial Graph Node Features for Classification with Graph Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 3.1 Overview of Graph Neural Networks -- 3.2 Featureless Graph Datasets and Feature Initialization Methods -- 3.3 Feature Initialization Based on Graph Measures and Clustering. 3.4 Feature Initialization and GNN Model Integration -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Graph Classification Experiments -- 5 Discussion -- 6 Conclusions and Future Work -- References -- Analyzing Bias in Machine Learning Models: Insights from the AlexNet Architecture on Balanced and Imbalanced Data -- 1 Introduction -- 2 Related Work -- 3 Method and Material -- 3.1 Research Hypothesis -- 3.2 Research Design -- 3.3 MNIST Dataset -- 3.4 EMNIST Digits Dataset -- 4 Testing -- 5 Results -- 5.1 MNIST Dataset -- 5.2 EMNIST Dataset -- 6 Discussion -- 6.1 Bias and Data Content -- 6.2 Accuracy and F1 Score Analysis -- 6.3 Special Case of Class 7 -- 7 Conclusion -- References -- Ghost-Free High Dynamic Range Imaging Based on Two-Stage Dense Image Alignment -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Alignment Based Methods -- 2.2 CNN Alignment Based Methods -- 3 Proposed Method -- 3.1 Alignment Network -- 3.2 Merging Network -- 4 Experiment -- 5 Conclusion -- References -- Log Anomaly Detection in Application Servers Using Deep Learning -- 1 Introduction -- 2 RNN Based Log Anomaly Detection -- 3 Dataset -- 3.1 Log Collection -- 3.2 Parsing Log Files -- 4 Feature Extraction from Log Files -- 5 Experimental Results and Discussions -- 6 Conclusions -- References -- Modelling Autonomous Vehicle Safety in Road Scenarios Considering User Behaviour -- 1 Introduction -- 2 Literature Review -- 2.1 Autonomous Vehicle -- 2.2 Advanced Driving Assistance System (ADAS) -- 3 Method -- 4 Analysis and Discussion -- 4.1 Driver's Individual Perspective -- 4.2 The Vehicle (t) -- 4.3 The Road (r) -- 4.4 Pedestrian Behaviour (b) -- 5 Recommendations -- 6 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910847577803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Research methods for reading digital data in the digital humanities / / edited by Gabriele Griffin, Matt Hayler
| Research methods for reading digital data in the digital humanities / / edited by Gabriele Griffin, Matt Hayler |
| Autore | Griffin Gabriele |
| Pubbl/distr/stampa | Edinburgh, [Scotland] : , : Edinburgh University Press, , 2016 |
| Descrizione fisica | 1 online resource (214 pages) : illustrations |
| Disciplina | 001.30285 |
| Collana | Research Methods for the Arts and Humanities |
| Soggetto topico |
Humanities - Electronic information resources
Humanities - Research - Methodology Digital media |
| ISBN |
1-4744-0962-8
9781474409629 9781474409605 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Acknowledgements -- 1. Introduction -- 2. Matter Matters: The Effects of Materiality and the Move from Page to Screen -- 3. Reading the Visual Page in the Digital Archive -- 4. Paratextual Navigation as a Research Method: Fan Fiction Archives and Reader Instructions -- 5. Data Mining and Word Frequency Analysis -- 6. Reading Twitter: Combining Qualitative and Quantitative Methods in the Interpretation of Twitter Material -- 7. Reading Small Data in Indigenous Contexts: Ethical Perspectives -- 8. Knowing Your Crowd: An Essential Component to Crowdsourcing Research -- 9. Fantasies of Scientificity: Ethnographic Identity and the Use of QDA Software -- 10. Digital Network Analysis: Understanding Everyday Online Discourse Micro- and Macroscopically -- 11. Dealing with Big Data -- Notes on Contributors -- Index |
| Record Nr. | UNINA-9910798608503321 |
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Griffin Gabriele
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| Edinburgh, [Scotland] : , : Edinburgh University Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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