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Refine your results 24 catalog results 1. Cómo iniciarse en la investigación académica : una guía práctica [2017] 2. Survey methodology [electronic resource]. [1996 -] 3. Crime scene management within forensic science : forensic techniques for criminal investigations [2022] 4. Survey Data Harmonization in the Social Sciences [2023] 5. Techniques d'enquête [ressource électronique]. [1996 -] 6. Big data meets survey science : a collection of innovative methods [2021] 7. Construire les données sociales [1988] 8. The demography of corporations and industries [2000] 9. Windows forensic analysis toolkit : advanced analysis techniques for Windows 8 [2014] 10. How to conduct organizational surveys : a step-by-step guide [1997] 11. Collision reconstruction methodologies. Volume 7A, Event data recorder (EDR) interpretation [2019] 12. The econometrics of complex survey data : theory and applications [2019] 13. Windows registry forensics : advanced digital forensic analysis of the Windows registry [2011] 14. Diversity in health care research : strategies for multisite, multidisciplinary, and multicultural projects [2003] 15. Windows registry forensics : advanced digital forensic analysis of the Windows registry [2016] 16. Windows registry forensics : advanced digital forensic analysis of the Windows registry [2016] 17. Design, evaluation, and analysis of questionnaires for survey research [2014] 18. Social media, sociality, and survey research [2013] 19. Windows forensic analysis DVD toolkit 2E [2009] 20. Designing effective Web surveys [2008]

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1. Cómo iniciarse en la investigación académica : una guía práctica [2017]

  • Fernández, María de los Ángeles, author.
  • Lima, Perú : Fondo Editorial, Pontificia Universidad Católica del Perú, 2017.
Description
Book — 1 online resource
Online

2. Survey methodology [electronic resource]. [1996 -]

  • Survey methodology (Online)
  • Ottawa : Statistics Canada, [1997]-
Description
Journal/Periodical
Online
  • Find full text

3. Crime scene management within forensic science : forensic techniques for criminal investigations [2022]

  • Singapore : Springer, [2022]
Description
Book — 1 online resource
Summary
  • Chapter 1_ Death Acre: Tales of Dead Body Land. -Chapter 2_Post mortem Examination as an aid to Criminal Investigation System. -Chapter 3_ Small size, Big impact: Insects for Cadaver Examination._ . -Chapter 4_Dermatoglyphics & Other Impressions: Deciphering the Potential of a Unique Hominid Niche. -Chapter 5_Post-mortem Toxicology: A Facet of Drugs to Expedite Crimes. - Chapter 6_Forensic Biology: A Passport for Biological Evidences. - Chapter 7_Forensic DNA Analysis: A Powerful Investigative Tool. - Chapter 8_Paint, Soil and Glass Evidences: A Silent Witnesses. - Chapter 9_Questioned Document Examination: A Prevalent Dispute. - Chapter 10_Firearms and Ammunition: A Sentient Approach in Criminal Investigations. - Chapter 11_Digital and Cyber Forensics: A Contemporary evolution in Forensic Sciences. - Chapter 12_Fire Investigation: Arson or Accidental. - Chapter 13_Psychological Evaluations: An Indoor Game of Criminal Minds. - Chapter 14_Competence of Evidences: A Pragmatic approach in Court of Law. - Chapter 15_Penology: A Friend or Foe for Criminal Justice System. - Chapter 16_Chain of Custody: Scaling the Investigation to the Event.
  • (source: Nielsen Book Data)

This book, the second volume of Crime Scene Management in Forensic Sciences, reviews the role and impact of forensic evidence in criminal investigations. It also addresses the importance of post mortem examination in criminal cases. The book investigates the use of insects and arthropods to estimate post mortem intervals during forensic investigations. Further, it discusses the physiological effects of xenobiotics at the time of death, based on their concentration and distribution in the body at autopsy. Importantly, it also discusses digital forensic investigation, which can be used for the analysis of digital evidence produced at a court of law. Lastly, it defines the structure and legal framework of these forensic evidences for the effective administration of the criminal justice system. It is an excellent source of information for forensics scientists and legal professionals.
(source: Nielsen Book Data)

Online

4. Survey Data Harmonization in the Social Sciences [2023]

  • Tomescu-Dubrow, Irina.
  • 1st ed. - Newark : John Wiley & Sons, Incorporated, 2023.
Description
Book — 1 online resource (419 pages)
Summary

"Survey data harmonization combines survey methods, statistical techniques, and substantive theories to create datasets that facilitate comparative research. Both data producers and secondary users engage in harmonization to achieve or strengthen the comparability of answers from respondents surveyed in different populations or over time"-- Provided by publisher.

Online

5. Techniques d'enquête [ressource électronique]. [1996 -]

  • Techniques d'enquête (En ligne)
  • Ottawa : Statistique Canada, 1997-
Description
Journal/Periodical
Online
  • Find full text

6. Big data meets survey science : a collection of innovative methods [2021]

  • Hoboken, NJ : John Wiley & Sons, Inc., 2021.
Description
Book — 1 online resource (xxviii, 753 pages) : illustrations, maps (some color).
Summary
  • Introduction (Hill, Biemer, Buskirk, Japec, Kirchner, Kolenikov, Lyberg)
  • Section 1: The New Survey Landscape
  • 1.
  • Why Machines Matter for Survey and Social Science Researchers: Exploring Applications of Machine Learning Methods for Design, Data Collection, and Analysis
  • Trent D. Buskirk and Antje Kirchner
  • 2.
  • The Future Is Now: How Surveys Can Harness Social Media To Address 21st Century Challenges
  • Amelia Burke-Garcia, Brad Edwards, and Ting Yan
  • 3.
  • Linking Survey Data with Commercial or Administrative Data for Data Quality Assessment
  • A.
  • Rupa Datta, Gabriel Ugarte, and Dean Resnick
  • Section 2: Total Error and Data Quality
  • 4.
  • Total Error Frameworks for Hybrid Estimation and Their Applications
  • Paul P. Biemer and Ashley Amaya
  • 5.
  • Measuring the Strength of Attitudes in Social Media Dataa
  • Ashley Amaya, Ruben a, Frauke Kreuter, and Florian Keusch
  • 6.
  • Attention to Campaign Events: Do Twitter and Self-Report Metrics Tell the Same Story?
  • Josh Pasek, Lisa O. Singh, Yifang Wei, Stuart N. Soroka, Jonathan M. Ladd, Michael W. Traugott, Ceren Budak, Leticia Bode, and Frank Newport
  • 7.
  • Improving Quality of Administrative Data: A Case Study with FBI's National Incident-Based Reporting System Data
  • Dan Liao, Marcus Berzofsky, Lance Couzens, Ian Thomas, and Alexia Cooper
  • 8.
  • Performance and Sensitivities of Home Detection on Mobile Phone Data
  • Maarten Vanhoof, Clement Lee, and Zbigniew Smoreda
  • Section 3: Big Data in Official Statistics
  • 9.
  • Big Data Initiatives in Official Statistics
  • Lilli Japec and Lars Lyberg
  • 10.
  • Big Data in Official Statistics: A Perspective from Statistics Netherlands
  • Barteld Braaksma, Kees Zeelenberg, and Sofie De Broe
  • 11.
  • Mining the New Oil for Official Statistics
  • Siu-Ming Tam, J. K. Kim, Lyndon Ang, and Han Pham
  • 12.
  • Investigating Alternative Data Sources to Reduce Respondent Burden in United States Census Bureau Retail Economic Data Products
  • Rebecca J. Hutchinson
  • Section 4: Combining Big Data with Survey Statistics: Methods and Applications
  • 13.
  • Effects of Incentives in Smartphone Data Collection
  • Georg-Christoph Haas, Frauke Kreuter, Florian Keusch, Mark Trappmann, and Sebastian Bahr
  • 14.
  • Using Machine Learning Models to Predict Attrition in a Survey Panel
  • Mingnan Liu
  • 15.
  • Assessing Community Well-being using Google Street-View and Satellite Imagery
  • Dr. Pablo Diego-Rosell, Stafford Nicols, Dr. Rajesh Srinivasan, and Dr. Ben Dilday
  • 16.
  • Nonparametric Bootstrap and Small Area Estimation to Mitigate Bias in Crowdsourced Data: Simulation Study and Application to Perceived Safety
  • David Buil-Gil, Reka Solymosi, and Angelo Moretti
  • 17.
  • Using Big Data to Improve Sample Efficiency
  • Jamie Ridenhour, Joe McMichael, Karol Krotki, and Howard Speizer
  • Section 5: Combining Big Data with Survey Statistics: Tools
  • 18.
  • Feedback Loop: Using Surveys to Build and Assess Registration-Based Sample Religious Flags for Survey Research
  • David Dutwin
  • 19.
  • Artificial Intelligence and Machine Learning Derived Efficiencies for Large-Scale Survey Estimation Efforts
  • Steven B. Cohen, PhD and Jamie Shorey, PhD
  • 20.
  • Worldwide Population Estimates for Small Geographic Areas: Can We Do a Better Job?
  • Safaa Amer, Dana Thomson, Rob Chew, and Amy Rose
  • Section 6: The Fourth Paradigm, Regulations, Ethics, Privacy
  • 21.
  • Reproducibility in the Era of Big Data: Lessons for Developing Robust Data Management and Data Analysis Procedures
  • D.B. McCoach, J. Necci Dineen, Sandra M. Chafouleas, and Amy Briesch
  • 22.
  • Combining Active and Passive Mobile Data Collection: A Survey of Concerns
  • Florian Keusch, Bella Struminskaya, Frauke Kreuter, and Martin Weichbold
  • 23.
  • Attitudes Toward Data Linkage: Privacy, Ethics, and the Potential for Harm
  • Aleia Clark Fobia, Jennifer Hunter Childs, and Casey Eggleston
  • 24.
  • Moving Social Science into the Fourth Paradigm: The Data Life Cycle
  • Craig A. Hill.
  • (source: Nielsen Book Data)

Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources. .
(source: Nielsen Book Data)

Online

7. Construire les données sociales [1988]

  • Paris : Ministère de l'économie et des finances, Institut national de la statistique et des études économiques, 1988.
Description
Book — 39 p. ; 30 cm.

SAL3 (off-campus storage)

8. The demography of corporations and industries [2000]

  • Carroll, Glenn.
  • Princeton, N.J. : Princeton University Press, c2000.
Description
Book — xxix, 490 p. ; 24 cm.
Summary
  • The Case for Corporate Demography
  • About Organizations
  • Aging and Learning
  • Inertia and Change
  • Competitive Intensity
  • Global Competition
  • Historical Efficiency
  • Employment and Entrepreneurship
  • A Look Ahead
  • The Demographic Perspective
  • Demography of Business Organizations
  • Organizing Principles of Demography
  • Formal Demography and Population Studies
  • Demographic Explanation
  • The Demography of the Work Force
  • Internal Organizational Demography
  • Toward a Corporate Demography
  • Earlier Efforts
  • Retaining the Classical Structure
  • Making Demography Organizational
  • A Research Strategy
  • Forms and Populations
  • Population versus Form
  • Identity and Form
  • Codes
  • Organizational Forms
  • Organizational Populations
  • Systems of Forms
  • Implications for Corporate Demography
  • Methods of Corporate Demography
  • Observation Plans
  • Designs in Organizational Research
  • Trade-offs in Observation Plans
  • Impact of Observation Plans
  • Analyzing Vital Rates
  • Event-History Designs
  • Stochastic-Process Models
  • Life-Table Estimation
  • Constant-Rate Models
  • Modeling Corporate Vital Rates
  • Duration Dependence
  • Dependence on Covariates
  • Note on Left Truncation
  • Comparing Designs by Simulation
  • Simulation Findings
  • Demographic Data Sources
  • Criteria for Evaluating Sources
  • Commonly Used Sources
  • Using Multiple Sources
  • Data Realities
  • Population Processes
  • Organizational Environments
  • Telephone Companies
  • Modeling Environments.

Most analysts of corporations and industries adopt the focal perspective of a single prototypical organization. Many analysts also study corporations primarily in terms of their internal organizational structures or as complex systems of financial contracts. Glenn Carroll and Michael Hannan bring fresh insight to our understanding of corporations and the industries they comprise by looking beyond prototypical structures to focus on the range and diversity of organizations in their social and economic setting. The result is a rich rendering of analysis that portrays whole populations and communities of corporations. "The Demography of Corporations and Industries" is the first book to present the demographic approach to organizational studies in its entirety. It examines the theory, models, methods, and data used in corporate demographic research. Carroll and Hannan explore the processes by which corporate populations change over time, including organizational founding, growth, decline, structural transformation, and mortality. They review and synthesize the major theoretical mechanisms of corporate demography, ranging from aging and size dependence to population segregation and density dependence. The book also explores some selected implications of corporate demography for public policy, including employment and regulation. In this path-breaking book, Carroll and Hannan demonstrate why demographic research on corporations is important; describe how to conduct demographic research; specify fruitful areas of future research; and suggest how the demographic perspective can enrich the public discussion of issues surrounding the corporation in our constantly evolving industrial society. All researchers and analysts with an interest in this topic will find The Demography of Corporations and Industries an invaluable resource.
(source: Nielsen Book Data)

Business Library

9. Windows forensic analysis toolkit : advanced analysis techniques for Windows 8 [2014]

  • Carvey, Harlan A., author.
  • Fourth edition. - Rockland : Syngress, 2014.
Description
Book — 1 online resource
Summary
  • Analysis Concepts Immediate Response Volume Shadow Copies File Analysis Registry Analysis Malware Detection Timeline Analysis Application Analysis Reporting.
  • (source: Nielsen Book Data)

Harlan Carvey has updated Windows Forensic Analysis Toolkit, now in its fourth edition, to cover Windows 8 systems. The primary focus of this edition is on analyzing Windows 8 systems and processes using free and open-source tools. The book covers live response, file analysis, malware detection, timeline, and much more. Harlan Carvey presents real-life experiences from the trenches, making the material realistic and showing the why behind the how. The companion and toolkit materials are hosted online. This material consists of electronic printable checklists, cheat sheets, free custom tools, and walk-through demos. This edition complements Windows Forensic Analysis Toolkit, Second Edition, which focuses primarily on XP, and Windows Forensic Analysis Toolkit, Third Edition, which focuses primarily on Windows 7. This new fourth edition provides expanded coverage of many topics beyond Windows 8 as well, including new cradle-to-grave case examples, USB device analysis, hacking and intrusion cases, and "how would I do this" from Harlan's personal case files and questions he has received from readers. The fourth edition also includes an all-new chapter on reporting.
(source: Nielsen Book Data)

Online

10. How to conduct organizational surveys : a step-by-step guide [1997]

  • Thousand Oaks, Calif. : Sage Publications, ©1997.
Description
Book — 1 online resource (x, 164 pages)
Summary
  • Organizational Surveys An Overview Identifying Survey Content Creating the Survey, Part One Writing Survey Items Creating the Survey, Part Two Response Alternatives, Item Order, Survey Length, and Response Biases Selecting Survey Respondents Organizational Survey Administration Fielding the Survey Monitoring and Maximizing Response Rates Data Processing Analyzing Data and Interpreting Results Presentation of Survey Findings.
  • (source: Nielsen Book Data)

Organizations are increasingly turning to surveys to solve many business-related problems. This book provides those who want to plan organizational surveys with a step-by-step, `how-to' guide. The authors describe the issues that must be addressed at each step in the process, the advantages and disadvantages that result from many of the choices that must be made, and practical lessons learned from their years of experience in designing and conducting surveys.
(source: Nielsen Book Data)

Online

11. Collision reconstruction methodologies. Volume 7A, Event data recorder (EDR) interpretation [2019]

  • Warrendale, Pa. (400 Commonwealth Dr., Warrendale PA USA) : Society of Automotive Engineers, 2019. [Piscataqay, New Jersey] : IEEE Xplore, 2020
Description
Book — 1 PDF (1 PDF (290 pages)) : illustrations
Summary
  • Chapter 1. The efficacy of event data recorders in pedestrian-related accidents
  • Chapter 2. Accuracy of powertrain control module (PCM) event data recorders
  • Chapter 3. Accuracy of selected 2008 Chrysler airbag control module event data recorders
  • Chapter 4. Accuracy of selected 2008 Ford restraint control module event data recorders
  • Chapter 5. Accuracy of EDR during rotation on low-friction surfaces
  • Chapter 6. Chrysler airbag control module (ACM) data reliability
  • Chapter 7. Accuracy of event data recorder in 2010 Ford Flex during steady-state and braking conditions
  • Chapter 8. Evaluation of Camry HS-CAN pre-crash data
  • Chapter 9. Confirmation of Toyota EDR pre-crash data
  • Chapter 10. Accuracy of event data in the 2010 and 2011 Toyota Camry during steady-state and braking conditions
  • Chapter 11. Assessing the accuracy of vehicle event data based on CAN messages
  • Chapter 12. Accuracy of pre-crash speed recorded in 2009 Mitsubishi Lancer event data recorders.

"The last ten years have seen explosive growth in the technology available to the collision analyst, changing the way reconstruction is practiced in fundamental ways. The greatest technological advances for the crash reconstruction community have come in the realms of photogrammetry and digital media analysis. The widespread use of scanning technology has facilitated the implementation of powerful new tools to digitize forensic data, create 3D models and visualize and analyze crash vehicles and environments. The introduction of unmanned aerial systems and standardization of crash data recorders to the crash reconstruction community have enhanced the ability of a crash analyst to visualize and model the components of a crash reconstruction. Because of the technological changes occurring in the industry, many SAE papers have been written to address the validation and use of new tools for collision reconstruction. Collision Reconstruction Methodologies Volumes 1-12 bring together seminal SAE technical papers surrounding advancements in the crash reconstruction field. Topics featured in the series include: Night Vision Study and Photogrammetry ; Vehicle Event Data Recorders ; Motorcycle, Heavy Vehicle, Bicycle and Pedestrian Accident Reconstruction The goal is to provide the latest technologies and methodologies being introduced into collision reconstruction - appealing to crash analysts, consultants and safety engineers alike."-- Provided by publisher.

Online

12. The econometrics of complex survey data : theory and applications [2019]

  • First edition. - Bingley : Emerald Publishing Limited, 2019.
Description
Book — 1 online resource (xi, 325 pages) : illustrations
Summary
  • INTRODUCTION PART I: SAMPLING DESIGN 1. CAN INTERNET MATCH HIGH QUALITY TRADITIONAL SURVEYS? COMPARING THE HEALTH AND RETIREMENT STUDY AND ITS ONLINE VERSION
  • Marco Angrisani, Brian Finley and Arie Kapteyn 2. EFFECTIVENESS OF STRATIFIED RANDOM SAMPLING FOR PAYMENT CARD ACCEPTANCE AND USAGE
  • Christopher S. Henry and Tamas Ilyes PART II: VARIANCE ESTIMATION 3. WILD BOOTSTRAP RANDOMIZATION INFERENCE FOR FEW TREATED CLUSTERS
  • James G. MacKinnon and Matthew D. Webb 4. VARIANCE ESTIMATION USING BOOTSTRAP RESAMPLING METHODS: 2013 METHODS-OF-PAYMENT SURVEY QUESTIONNAIRE
  • Heng Chen and Q. Rallye Shen PART III: ESTIMATION AND INFERENCE 5. MODEL SELECTION TESTS FOR COMPLEX SURVEY SAMPLES
  • Iraj Rahmani and Jeffrey M. Wooldridge 6. INFERENCE IN CONDITIONAL MOMENT RESTRICTION MODELS WHEN THERE IS SELECTION DUE TO STRATIFICATION
  • Antonio Cosma, Andrei Kostyrka and Gautam Tripathi 7. NONPARAMETRIC KERNEL REGRESSION USING COMPLEX SURVEY DATA
  • Luc Clair 8. NEAREST NEIGHBOR IMPUTATION FOR GENERAL PARAMETER ESTIMATION IN SURVEY SAMPLING
  • Shu Yang and Jae Kwang Kim PART IV: APPLICATIONS IN BUSINESS, HOUSEHOLD, AND CRIME SURVEYS 9. SURVEY DESIGN AND ESTIMATION WITH RANDOM QUESTIONNAIRE BLOCKING TO CONTROL FATIGUE AND NONRESPONSE IN A LARGE VOLUNTARY INSTITUTIONAL DATA COLLECTION
  • Geoffrey R. Gerdes and Xuemei Liu 10. DOES SELECTIVE CRIME REPORTING INFLUENCE OUR ABILITY TO DETECT RACIAL DISCRIMINATION IN THE NYPD'S STOP-AND-FRISK PROGRAM?
  • Steven F. Lehrer and Louis-Pierre Lepage 11. SURVEY EVIDENCE ON BLACK MARKET LIQUOR IN COLOMBIA
  • Gustavo Canavire-Bacarreza, Alexander L. Lundberg and Alejandra Montoya-Agudelo.
  • (source: Nielsen Book Data)

This volume of Advances in Econometrics contains a selection of papers presented at the "Econometrics of Complex Survey Data: Theory and Applications" conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017. The papers included in this volume span a range of methodological and practical topics including survey collection comparisons, imputation mechanisms, the bootstrap, nonparametric techniques, specification tests, and empirical likelihood estimation using complex survey data. For academics and students with an interest in econometrics and the ways in which complex survey data can be used and evaluated, this volume is essential.
(source: Nielsen Book Data)

Online

13. Windows registry forensics : advanced digital forensic analysis of the Windows registry [2011]

  • Carvey, Harlan A., author.
  • Burlington, Mass. : Syngress, [2011]
Description
Book — 1 online resource (1 volume) : illustrations
Summary
  • Chapter 1. Registry Analysis
  • Chapter 2. Tools
  • Chapter 3. Case Studies: The System
  • Chapter 4. Case Studies: Tracking User Activity.
  • (source: Nielsen Book Data)

Windows Registry Forensics provides the background of the Windows Registry to help develop an understanding of the binary structure of Registry hive files. Approaches to live response and analysis are included, and tools and techniques for postmortem analysis are discussed at length. Tools and techniques are presented that take the student and analyst beyond the current use of viewers and into real analysis of data contained in the Registry, demonstrating the forensic value of the Registry. Named a 2011 Best Digital Forensics Book by InfoSec Reviews, this book is packed with real-world examples using freely available open source tools. It also includes case studies and a CD containing code and author-created tools discussed in the book. This book will appeal to computer forensic and incident response professionals, including federal government and commercial/private sector contractors, consultants, etc.
(source: Nielsen Book Data)

Online

14. Diversity in health care research : strategies for multisite, multidisciplinary, and multicultural projects [2003]

  • New York : Springer Pub., ©2003.
Description
Book — 1 online resource (xvi, 243 pages) : illustrations Digital: data file.
Summary
  • Ch. 1. Managing multisite, multidisciplinary, and multiethnic research projects
  • Ch. 2. Obtaining funding
  • Ch. 3. Facilitating passage through the institutional maze
  • Ch. 4. Utilizing research assistants
  • Ch. 5. Special considerations for multicenter research
  • Ch. 6. Managing the multisite team
  • Ch. 7. International multisite studies
  • Ch. 8. The birthweight study: challenges of a multisite, multicultural collaborative research endeavor
  • Ch. 9. Testing the efficacy of an intervention directed toward family caregivers of cancer patients: The Family Care Research Program
  • Ch. 10. The Women's Health Initiative: aspects of management and coordination
  • Ch. 11. The Early Head Start Research and Evaluation Consortium: collaborations and partnerships.

The gold standard in health care research is conducting studies that are truly representative of the general population - and not limited to a narrow range of cultural, gender, geographic, or socioeconomic groups. This book provides a how-to approach to planning, implementing, and conducting such studies. Especially valuable are case examples describing successful research projects that have taken on the ""multi"" approach.
(source: Nielsen Book Data)

Online

15. Windows registry forensics : advanced digital forensic analysis of the Windows registry [2016]

  • Carvey, Harlan A., author.
  • Second edition. - Cambridge, MA : Syngress is an imprint of Elsevier, 2016.
Description
Book — 1 online resource
Summary
  • 1. Registry Analysis
  • 2. Processes and Tools
  • 3. Case Studies: The System
  • 4. Case Studies: Tracking User Activity
  • 5. RegRipper.
  • (source: Nielsen Book Data)

Windows Registry Forensics: Advanced Digital Forensic Analysis of the Windows Registry, Second Edition, provides the most in-depth guide to forensic investigations involving Windows Registry. This book is one-of-a-kind, giving the background of the Registry to help users develop an understanding of the structure of registry hive files, as well as information stored within keys and values that can have a significant impact on forensic investigations. Tools and techniques for post mortem analysis are discussed at length to take users beyond the current use of viewers and into real analysis of data contained in the Registry. This second edition continues a ground-up approach to understanding so that the treasure trove of the Registry can be mined on a regular and continuing basis.
(source: Nielsen Book Data)

Online

16. Windows registry forensics : advanced digital forensic analysis of the Windows registry [2016]

  • Carvey, Harlan A., author.
  • Second edition. - Cambridge, MA : Syngress is an imprint of Elsevier, 2016.
Description
Book — 1 online resource
Summary
  • 1. Registry Analysis
  • 2. Processes and Tools
  • 3. Case Studies: The System
  • 4. Case Studies: Tracking User Activity
  • 5. RegRipper.
  • (source: Nielsen Book Data)

Windows Registry Forensics: Advanced Digital Forensic Analysis of the Windows Registry, Second Edition, provides the most in-depth guide to forensic investigations involving Windows Registry. This book is one-of-a-kind, giving the background of the Registry to help users develop an understanding of the structure of registry hive files, as well as information stored within keys and values that can have a significant impact on forensic investigations. Tools and techniques for post mortem analysis are discussed at length to take users beyond the current use of viewers and into real analysis of data contained in the Registry. This second edition continues a ground-up approach to understanding so that the treasure trove of the Registry can be mined on a regular and continuing basis.
(source: Nielsen Book Data)

Online

17. Design, evaluation, and analysis of questionnaires for survey research [2014]

  • Saris, Willem E.
  • Second edition. - Hoboken : Wiley, 2014.
Description
Book — 1 online resource Digital: text file.
Summary
  • Part I The three-step procedure to design requests for an answer 13 1. Concepts-by-postulation and concepts-by-intuition 15
  • 2. From social science concepts-by-intuition to assertions 29 3. The formulation of requests for an answer 63 Part II Choices involved in questionnaire design 71 4. Specific survey research features of requests for an answer 83 5. Response alternatives 103 6. The structure of open-ended and closed survey items 121 7. Survey items in batteries 137 8. Mode of data collection and other choices 155 Part III The effects of survey characteristics on data quality 151
  • 9. Criteria for the quality of survey measures 153 10. Estimation of reliability, validity and method effects 199 11. Split ballot MTMM designs 219 12. MTMM experiments and the quality of survey questions 237 Part IV Applications in social science research 255 13. The SQP 2.0 program for prediction of quality and the improvement of measurement 223 14. The quality of measures for concepts-by-postulation 279 15. Correction for measurement errors 305 16. Coping with measurement error in cross cultural research 275 References
  • Index.
  • (source: Nielsen Book Data)
  • Preface. Introduction. PART I. THE THREE STEPS PROCEDURE TO DESIGN REQUESTS FOR AN ANSWER.
  • 1. Concepts-by-postulation and concepts-by-intuition.
  • 2. From social science concepts-by-intuition to assertions.
  • 3. The formulation of requests for an answer. PART II. CHOICES INVOLVED IN QUESTIONNAIRE DESIGN.
  • 4. Specific survey research features of requests for an answer.
  • 5. Response alternatives.
  • 6. The structure of open ended and closed survey items.
  • 7. Survey items in batteries.
  • 8. Mode of data collection and other choices. PART III. THE EFFECTS OF SURVEY CHARACTERISTICS ON DATA QUALITY.
  • 9. Criteria for the quality of survey measures.
  • 10. The estimation of reliability, validity and method effects.
  • 11. The split ballot MTMM designs.
  • 12. The estimation of the effects of measurement characteristics on the quality of survey questions. PART IV. APPLICATIONS IN SOCIAL SCIENCE RESEARCH.
  • 13. The prediction and improvement of survey requests by SQP.
  • 14. The quality of measures for concepts-by-postulation.
  • 15. Correction for measurement error in survey data analysis.
  • 16. Coping with measurement error in cross-cultural research. References. Index.
  • (source: Nielsen Book Data)

Features the essential methodologies and statistical tools for developing reliable and valid survey questionnaires Modern survey design requires the consideration of many variables that will ultimately impact the quality of the collected data. Design, Evaluation, and Analysis of Questionnaires for Survey Research outlines the important decisions that researchers need to make throughout the survey design process and provides the statistical knowledge and innovative tools that are essential when approaching these choices. Over fifteen years of survey design research has been referenced in order to conduct a meta-analysis that not only unveils the relationship between individual question characteristics and overall questionnaire quality, but also assists the reader in constructing a questionnaire of the highest relevance and accuracy. Among the book's most outstanding features is its introduction of Survey Quality Prediction (SQP), a computer program that predicts the validity and accuracy of questionnaires based on findings from the meta-analysis. Co-developed by the authors, this one-of-a-kind software is available via the book's related Web site and provides a valuable resource that allows researchers to estimate a questionnaire's level of quality before its distribution. In addition to carefully outlining the criteria for high quality survey questions, this book also:* Defines a three-step procedure for generating questions that measure, with high certainty, the concept defined by the researcher* Analyzes and details the results of studies that used Multitrait-Multimethod (MTMM) experiments to estimate the reliability and validity of questions* Provides information to correct measurement error in survey results, with a chapter focusing specifically on cross-cultural research* Features practical examples that illustrate the pitfalls of traditional questionnaire design* Includes exercises that both demonstrate the methodology and help readers master the presented techniques Design, Evaluation, and Analysis of Questionnaires for Survey Research succeeds in illustrating how questionnaire design influences the overall quality of empirical research. With an emphasis on a deliberate and scientific approach to developing questionnaires, this book is an excellent text for upper-level undergraduate or beginning graduate-level survey research courses in business and the social sciences, and it also serves as a self-contained reference for survey researchers in any field.
(source: Nielsen Book Data)
Praise for the First Edition ...this book is quite inspiring, giving many practical ideas for survey research, especially for designing better questionnaires. International Statistical Review Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0 , the Second Edition also includes: New practice problems to provide readers with real-world experience in survey research and questionnaire design A comprehensive outline of the steps for creating and testing survey questionnaires Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires.Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0 , the Second Edition also includes: New practice problems to provide readers with real-world experience in survey research and questionnaire design A comprehensive outline of the steps for creating and testing survey questionnaires Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. WILLEM E. SARIS, PhD, is Emeritus Professor in Methodology of the University of Amsterdam and the Universitat Pompeu Fabra, Barcelona. He is Laureate of the 2005 Descartes Prize for Best Collaborative Research as member of the Central Coordinating Team of the European Social Survey (ESS) and Recipient of the World Association of Public Opinion Research s Helen Dinerman Award in 2009 for his lifelong contribution to the methodology of Opinion Research. Dr. Saris also received the 2013 Outstanding Service Prize of the European Survey Research Association. IRMTRAUD N. GALLHOFER, PhD, is a linguist and was senior researcher on projects of the ESS, Research and Expertise Centre for Survey Methodology at the Universitat Pompeu Fabra, Barcelona. She is Laureate of the 2005 Descartes Prize for Best Collaborative Research as a member of the Central Coordinating Team of the ESS.Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes: New practice problems to provide readers with real-world experience in survey research and questionnaire design A comprehensive outline of the steps for creating and testing survey questionnaires Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. WILLEM E. SARIS, PhD, is Emeritus Professor in Methodology of the University of Amsterdam and the Universitat Pompeu Fabra, Barcelona. He is Laureate of the 2005 Descartes Prize for Best Collaborative Research as member of the Central Coordinating Team of the European Social Survey (ESS) and Recipient of the World Association of Public Opinion Research s Helen Dinerman Award in 2009 for his lifelong contribution to the methodology of Opinion Research. Dr. Saris also received the 2013 Outstanding Service Prize of the European Survey Research Association. IRMTRAUD N. GALLHOFER, PhD, is a linguist and was senior researcher on projects of the ESS, Research and Expertise Centre for Survey Methodology at the Universitat Pompeu Fabra, Barcelona. She is Laureate of the 2005 Descartes Prize for Best Collaborative Research as a member of the Central Coordinating Team of the ESS.
(source: Nielsen Book Data)

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18. Social media, sociality, and survey research [2013]

  • Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
Description
Book — 1 online resource
Summary
  • List of Figures xiii List of Tables xvii Contributors xix Preface xxi Acknowledgments xxv
  • 1. Social Media, Sociality, and Survey Research 1 Joe Murphy, Craig A. Hill, and Elizabeth Dean What Is Social Media? 2 Social Media Origins 6 Social Networking Sites and Platforms 6 Blogs 8 Twitter 8 Facebook 9 LinkedIn 9 Second Life 9 Other Social Networking Platforms and Functionalities 10 Why Should Survey Researchers Be Interested in Social Media? 11 The Current State of Survey Research 11 Falling Response Rates 11 Frame Coverage Errors 13 The Coming Age of Ubiquity 14 Public vs. Private Data 17 Social Media Interaction: Next Wave (or Subwave)? 18 Adding Social Media to the Survey Research Toolbox 21 Toward Using the Concept of Sociality in Survey Research of the Future 22 How Can Survey Researchers Use Social Media Data? 26 References 28
  • 2. Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data 35 Carol Haney Describing Emotional or Subjective Feeling in Textual Data 36 Definition of Machine-Augmented Sentiment Analysis 37 How Sentiment Analysis Is Used with Text Data 38 Different Ways of Representing Sentiment 42 Ordinal Scales 42 Nominal Emotion Classification 43 Neutral Sentiment 44 Techniques for Determining Sentiment 44 Precursors to Analysis 44 Harvesting 46 Structure and Understand 50 Approaches to Determining Sentiment 51 Machine-Coded Sentiment Analysis 51 Human-Coded Sentiment Analysis 53 Sentiment Analysis as a Subset of Text Analytics 54 Current Limitations of Sentiment Analysis 57 References 59
  • 3. Can Tweets Replace Polls? A U.S. Health-Care Reform Case Study 61 Annice Kim, Joe Murphy, Ashley Richards, Heather Hansen, Rebecca Powell, and Carol Haney Methods 64 Twitter Data 64 Public Opinion About Health-Care Reform: Kaiser Health Tracking Poll 70 Analysis 70 Results 71 R
  • Q1: To What Extent Was Health-Care Reform Discussed on Twitter? 71 R
  • Q2: What Is the Distribution of Sentiment of Health-Care Reform Tweets? 74 R
  • Q3. Do Trends in the Sentiment of Tweets About Health-Care Reform Correlate with Observed Trends in Public Opinion About Health-Care Reform from Nationally Representative Probability-Based Surveys? 75 KFF Trends 75 Comparison 77 R
  • Q4. What Are the Key Topics Discussed in Health-Care Reform Tweets? 78 Discussion 80 Conclusions 84 References 85
  • 4. The Facebook Platform and the Future of Social Research 87 Adam Sage The Changing Web: From Searchable to Social 88 Digital and Digitized Data 93 The Case for Facebook Integration 94 Data and the Graph API 97 Facebook Applications 99 Social Plugins 103 The Future, Mobile Apps, and the Ever Increasing Complexity of the Social Graph 104 References 104
  • 5. Virtual Cognitive Interviewing Using Skype and Second Life 107 Elizabeth Dean, Brian Head, and Jodi Swicegood Brief Background on Cognitive Interviews 108 Cognitive Interviewing Current Practice 109 Practitioners Techniques 109 Cognitive Interviews in Practice: Present and Future 112 Second Life for Survey Research 114 Methods 115 Recruitment 115 Screening 117 Incentive 118 Think-Aloud and Probes 118 Results 118 Overall Participant Characteristics 118 Feasibility of Pilot Study 120 Quality of Cognitive Interviews by Mode 121 Participant Disengagement 122 Nonverbal Cues 125 Total Problems 126 Type and Severity of Problems 126 Conclusions 127 Discussion and Future Research 128 References 129
  • 6. Second Life as a Survey Lab: Exploring the Randomized Response Technique in a Virtual Setting 133 Ashley Richards and Elizabeth Dean Overview of Second Life 134 Research in Second Life 134 The Randomized Response Technique 136 Study Design 137 Results 142 Discussion 144 References 146
  • 7. Decisions, Observations, and Considerations for Developing a Mobile Survey App and Panel 149 David Roe, Yuying Zhang, and Michael Keating Impact of the Evolution of Technology on Data Collection 150 Telephone Interviewing 151 Web Interviewing 151 Cell Phones 152 Smartphones 153 Building an App 156 Goals 157 Preliminary Findings 168 Recruitment 170 Respondent Communication 170 Survey Topics 172 Respondent Impressions on Incentives, Survey Length, and Frequency 175 Next Steps 175 References 176
  • 8. Crowdsourcing: A Flexible Method for Innovation, Data Collection, and Analysis in Social Science Research 179 Michael Keating, Bryan Rhodes, and Ashley Richards What Is Crowdsourcing? 180 Open Innovation 181 Cisco Systems I-Prize Challenge 182 RTI International s 2012 Research Challenge 183 Options for Hosting Your Own Challenges 185 Legal Considerations 186 Data Collection 187 Crowdsourcing Survey Response on Mechanical Turk 187 Targeted Data Collection 190 Cost Considerations 194 MyHeartMap Challenge 195 Analysis by Crowdsourcing 197 Sentiment Analysis 197 Challenge-Based Data Analysis 198 Conclusion 199 References 200
  • 9. Collecting Diary Data on Twitter 203 Ashley Richards, Elizabeth Dean, and Sarah Cook Background 204 Twitter 204 Diaries 204 Methods 206 Recruitment 208 Data Collection 210 Results 211 Nonresponse 212 Data Quality 216 Incentive Preference 221 Participant Feedback 222 Discussion 227 References 229
  • 10. Recruiting Participants with Chronic Conditions in Second Life 231 Saira N. Haque and Jodi Swicegood Background 233 Methods 234 Instrument Development 235 Recruitment Methods 235 Survey Administration 244 Results 244 Discussion 247 Communities 247 Using Existing Second Life Resources 248 Other Effective Methods 249 The Importance of the Recruitment Avatar 249 Conclusion 250 References 251
  • 11. Gamification of Market Research 253 Jon Puleston Significance of Gamification in Market Research 254 Apply Gamification to Market Research 256 Gamification in Survey Design 259 Apply Rules to Question Design 265 Add the Competitive Element 269 Add Reward Mechanics 271 Give Feedback 272 Make Tasks More Involving 273 Ensure the Challenge Can Be Accomplished 275 How to Design Questions To Be More Game-Like 275 Common Questions About Gamification 284 Who Responds to Gamification? 284 What Impact Does Gamification Have on the Data? 285 How Do These Techniques Work in Different Cultures? 289 Conclusions 291 References 292
  • 12. The Future of Social Media, Sociality, and Survey Research 295 Craig A. Hill and Jill Dever Statistical Challenges with Social Media Data 296 Quality and Representativeness 297 Sampling from Social Media Sources 298 Population Estimation from Social Media Data 303 Future Opportunities 306 What Does the Future Hold? 307 Sociality Hierarchy Level
  • 1: Broadcast 308 Sociality Hierarchy Level
  • 2: Conversation 311 Sociality Hierarchy Level
  • 3: Community 312 Final Thoughts 314 References 315 Index 319.
  • (source: Nielsen Book Data)

Provides the knowledge and tools needed for the future of survey research The survey research discipline faces unprecedented challenges, such as falling response rates, inadequate sampling frames, and antiquated approaches and tools. Addressing this changing landscape, Social Media, Sociality, and Survey Research introduces readers to a multitude of new techniques in data collection in one of the fastest developing areas of survey research. The book is organized around the central idea of a "sociality hierarchy" in social media interactions, comprised of three levels: broadcast, conversational, and community based. Social Media, Sociality, and Survey Research offers balanced coverage of the theory and practice of traditional survey research, while providing a conceptual framework for the opportunities social media platforms allow. Demonstrating varying perspectives and approaches to working with social media, the book features: New ways to approach data collection using platforms such as Facebook and Twitter Alternate methods for reaching out to interview subjects Design features that encourage participation with engaging, interactive surveys Social Media, Sociality, and Survey Research is an important resource for survey researchers, market researchers, and practitioners who collect and analyze data in order to identify trends and draw reliable conclusions in the areas of business, sociology, psychology, and population studies. The book is also a useful text for upper-undergraduate and graduate-level courses on survey methodology and market research.
(source: Nielsen Book Data)

Online

19. Windows forensic analysis DVD toolkit 2E [2009]

  • Carvey, Harlan A.
  • [2nd ed.]. - Burlington, Mass. : Syngress Pub., ©2009.
Description
Book — 1 online resource (xxiv, 482 pages) : illustrations
Summary
  • Chapter 1. Live Response: Collecting Volatile Data
  • Chapter 2. Live Response: Analyzing Volatile Data
  • Chapter 3. Windows Memory Analysis
  • Chapter 4. Registry Analysis
  • Chapter 5. File Analysis
  • Chapter 6. Executable File Analysis
  • Chapter 7. Rootkits and Rootkit Detection
  • Chapter 8. Tying It All Together
  • Chapter 9. Forensic Analysis on a Budget.
  • (source: Nielsen Book Data)

Windows Forensic Analysis DVD Toolkit, 2nd Edition, is a completely updated and expanded version of Harlan Carvey's best-selling forensics book on incident response and investigating cybercrime on Windows systems. With this book, you will learn how to analyze data during live and post-mortem investigations. New to this edition is Forensic Analysis on a Budget, which collects freely available tools that are essential for small labs, state (or below) law enforcement, and educational organizations. The book also includes new pedagogical elements, Lessons from the Field, Case Studies, and War Stories that present real-life experiences by an expert in the trenches, making the material real and showing the why behind the how. The companion DVD contains significant, and unique, materials (movies, spreadsheet, code, etc.) not available anyplace else because they were created by the author. This book will appeal to digital forensic investigators, IT security professionals, engineers, and system administrators as well as students and consultants.
(source: Nielsen Book Data)

Online

20. Designing effective Web surveys [2008]

  • Couper, Mick.
  • Cambridge ; New York : Cambridge University Press, 2008.
Description
Book — 1 online resource (xvii, 398 pages) : color illustrations
Summary
  • 1. The importance of design for web surveys
  • 2. The basic building blocks
  • 3. Going beyond the basics: visual and interactive enhancements to web survey instruments
  • 4. General layout and design
  • 5. Putting the questions together to make an instrument
  • 6. Implementing the design.
  • (source: Nielsen Book Data)

Designing Effective Web Surveys is a practical guide to designing web surveys, based on empirical evidence and grounded in scientific research and theory. It is designed to guide survey practitioners in the art and science of developing and deploying successful web surveys. The author guides the researcher through the steps involved, from the basic building blocks and suggests ways to increase visual impact and interactivity. Throughout, he considers the importance of layout and design, and attention is also given to the way questions are put together. The book is intended for academic, government, and market researchers who design and conduct web surveys.
(source: Nielsen Book Data)

Online

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