1 online resource (xxi, 481 pages)
  • Data Management
  • Descriptive Analysis
  • Chi-Square Test and Its Application
  • Correlation Matrix and Partial Correlation: Explaining Relationships
  • Regression Analysis and Multiple Correlations: For Estimating a Measurable Phenomenon
  • Hypothesis Testing for Decision-Making
  • One-Way ANOVA: Comparing Means of More than Two Samples
  • Two-Way Analysis of Variance: Examining Influence of Two Factors on Criterion Variable
  • Analysis of Covariance: Increasing Precision in Comparison by Controlling Covariate
  • Cluster Analysis: For Segmenting the Population
  • Application of Factor Analysis: To Study the Factor Structure Among Variables
  • Application of Discriminant Analysis: For Developing a Classification Model
  • Logistic Regression: Developing a Model for Risk Analysis
  • Multidimensional Scaling for Product Positioning.
This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.
(source: Nielsen Book Data)9788132207856 20160615 SpringerLink
25 pages ; 30 cm
Green Library
59 p.
Green Library
89 pages ; 30 cm.
Green Library
62 pages ; 28 cm
SAL3 (off-campus storage)
69, 73 p. : ill. ; 30 cm.
Green Library
1 online resource (26 p.)
There is an inherent tension between traditional norms and survey protocols for quantitative data collected in the developing world. Unexpected interactions between the interviewer and respondent can lead to interviewer effects in the data, particularly in the case of subjective or sensitive questions. This paper makes use of a unique data set available from Timor-Leste containing subjective and objective questions to study these effects. In addition to their age and gender, data were collected from the interviewers regarding their opinions on the subjective questions prior to fieldwork. Fixed effects and mixed effects logit models are used to examine the main effects and interactions between interviewer and respondent characteristics. More objective measures serve as a pseudo control group. The paper finds interviewer effects in the both subjective and objective data, but the magnitude is considerably stronger for subjective questions. The paper also finds that female respondents are more susceptible to influence based on the interviewer's beliefs. Despite methodological shortcomings, the study highlights the need to consider more fully the impact of traditional cultural norms when conducting quantitative surveys in the developing world on topics that are outside the standard objective questions.
1 online resource (33 p.)
The proliferation of mobile phones in developing countries has generated a wave of interest in collecting high-frequency socioeconomic surveys using this technology. This paper considers lessons from one such survey effort in a difficult environment-the South Sudan Experimental Phone Survey, which gathered data on living conditions, access to services, and citizen attitudes via monthly interviews by phones provided to respondents. Non-response, particularly in later rounds of the survey, was a substantial problem, largely due to erratic functioning of the mobile network. However, selection due to non-response does not appear to have markedly affected survey results. Response rates were much higher for respondents who owned their own phones. Both compensation provided to respondents in the form of airtime and the type of phone (solar-charged or traditional) were varied experimentally. The type of phone was uncorrelated with response rates and, contrary to expectation, attrition was slightly higher for those receiving the higher level of compensation. The South Sudan Experimental Phone Survey experience suggests that mobile phones can be a viable means of data collection for some purposes, that calling people on their own phones is preferred to handing out phones, and that careful attention should be given to the potential for selective non-response.
1 online resource (33 p.)
The collection of survey data from war zones or other unstable security situations is vulnerable to error because conflict often limits the implementation options. Although there are elevated risks throughout the process, this paper focuses specifically on challenges to frame construction and sample selection. The paper uses simulations based on data from the Mogadishu High Frequency Survey Pilot to examine the implications of the choice of second-stage selection methodology on bias and variance. Among the other findings, the simulations show the bias introduced by a random walk design leads to the underestimation of the poverty headcount by more than 10 percent. The paper also discusses the experience of the authors in the time required and technical complexity of the associated back-office preparation work and weight calculations for each method. Finally, as the simulations assume perfect implementation of the design, the paper also discusses practicality, including the ease of implementation and options for remote verification, and outlines areas for future research and pilot testing.
1 online resource ( xv, 202 pages.) :.
EBSCOhost Access limited to 1 user
1 online resource (xviii, 368 pages)
  • Introduction: Rescuing the survey PART ONE: THE CONTEXT Surveying the Survey: Back to the Past The Making of the 'Survey Society': The 19th Century The Common Roots of the Survey and In-depth Interview The Pioneers: 1880 - 1935 Technical Improvements and the Abandonment of Mixed Methods The Idea of Standardizing the Survey Interview The Split between Quantitative and Qualitative Methods The Explosion and Institutionalization of Surveys Technical Modifications toward a Standardized Interview The Decline of the Concern for Data Collection The Globalization of the Survey Culture Model Concluding Remarks Back to the 'Golden Age': Towards a Multilevel Integrated Survey Approach What is Survey Research? From the Standard to the Multlievel and Integrated Survey Approach Concluding Remarks PART TWO: FROM QUESTIONS TO ANSWERS The Answering Process What Lies Behind the Datum? The Co-construction of Survey Data The 'Cognitive Turn' and the CASM Movement Inference Procedures Situation Awareness The Limits of the 'Cognitive Turn' and Social Information Processing (SIP) From Cognition to Interaction: The Pragmatic Turn The Logic of Conversation Concluding Remarks Asking and Questioning Attributing Meanings to Questions Evaluation: The Heuristics of Judgement An Alternative Typology: Cognitive Tasks and Response Alternatives Concluding Remarks Answers: Cognitive Processes Open-ended or Closed-ended? Facing the Dilemma Scalar Answers The Influence of the Response Alternatives The Pragmatics of Response Alternatives Response Alternatives and Linguistic Communities Researchers versus Interviewees? Towards a Reconciliation of Separate Worlds Concluding Remarks Communicative Processes Psychological States of Interaction Social Conventions Answers and Interviewees' Demographic Characteristics The Setting Concluding Remarks The Living Questionnaire: The Survey at Work The Initial Contact with Interviewees The Nonresponse Phenomenon The Sociology and Psychology of Nonresponse The Questionnaire in Action Incongruences in the Answers Concluding Remarks PART THREE: CONSTRUCTING ANSWER COMPARABILITY From Standardization of Stimuli to Standardization of Meanings: The Interactional Survey Approach The Behaviourism-based SSA: The Standardization of Stimuli The Interactional Survey Approach: Standardizing Meanings Bridging the Gap between Questionnaire (Researcher) and Interviewee: Empowering the Interviewer Standardizing the Meaning of Response Alternatives Too Concluding Remarks Training for the Interactional Survey Approach Motivating the Interviewee by Following the Norms of Conversation The Interviewer's Hermeneutic Role The Specific Hermeneutic Competence of Interviewers Evaluation of Interviewer Performance Concluding Remarks PART FOUR: DESIGNING DATA QUALITY THROUGH MIXED STRATEGIES Re-conceptualizing Data Quality What is Data Quality? Dimensions of Data Quality From Data Quality to Survey Quality Concluding Remarks Mixed Survey Strategies: Quality in the Quantity What is Mixed Methods Research? Mixed Strategies: The Proportion of Quality and Quantity in a Research Design The Integrative Role of Qualitative Procedures in the Survey: A Typology The Pilot Study: Orientation of the Data Construction Process Concluding Remarks Pretesting Strategies: Assessing Data Quality in Advance Aims of Pretesting Pretesting Strategies based on Manifest Evidence Qualitative Strategies: Inside the Black Box to Discover the Hidden Biases Concluding Remarks Deviant Case Analysis: Improving Data Quality The Limitations of Monitoring Techniques within the Data Matrix Deviant Case Analysis (DCA): The Exception that Refines the Rule The Functions of Deviant Case Analysis Exploring Deviant Cases: Some Techniques Concluding Remarks PART FIVE: ENVISIONING THE FUTURE Glocalizing the Survey Towards Multicultural Methodology The Global Survey and its Discontents: The Limits of Current Survey Methodology An Individualist Social Philosophy Western Tacit Knowledge Embedded in the Survey Model Lessons Learned from Cross-Cultural Surveys De-colonizing the Survey The Local Structural Context Combining Global and Local Brand New: Re-Styling the Survey Concluding Remarks.
  • (source: Nielsen Book Data)9781473904828 20160618
Engaging and informative, this book provides students and researchers with a pragmatic, new perspective on the process of collecting survey data. By proposing a post-positivist, interviewee-centred approach, it improves the quality and impact of survey data by emphasising the interaction between interviewer and interviewee. Extending the conventional methodology with contributions from linguistics, anthropology, cognitive studies and ethnomethodology, Gobo and Mauceri analyse the answering process in structured interviews built around questionnaires. The following key areas are explored in detail: * An historical overview of survey research * The process of preparing the survey and designing data collection * The methods of detecting bias and improving data quality * The strategies for combining quantitative and qualitative approaches * The survey within global and local contexts Incorporating the work of experts in interpersonal and intercultural relations, this book offers readers an intriguing critical perspective on survey research. Giampietro Gobo, Ph.D., is Professor of Methodology of Social Research and Evaluation Methods at the Department of Social and Political Studies - University of Milan. He has published over fifty articles in the areas of qualitative and quantitative methods. His books include Doing Ethnography (Sage 2008) and Qualitative Research Practice (Sage 2004, co-edited with C. Seale, J.F. Gubrium and D. Silverman). He is currently engaged in projects in the area of workplace studies. Sergio Mauceri, Ph.D., is Lecturer in Methodology of Social Sciences and teaches Quantitative and Qualitative Strategies of Social Research at the Department of Communication and Social Research - University of Rome 'La Sapienza'. He has published several books and articles on data quality in survey research, mixed strategies, ethnic prejudice, multicultural cohabitation, delay in the transition to adulthood, worker well-being in call centres and homophobia.
(source: Nielsen Book Data)9781473904828 20160618
Engaging and informative this book provides students and researchers with a practical introduction to the process of collecting and analysing survey data. By proposing a post-positivist, interviewee-centred approach, it improves and maximises the quality of survey data by emphasising the interaction between interviewer and interviewee. Bringing together traditional methodology and contributions from linguistics, anthropology, cognitive studies and ethnomethodology, Gobo and Mauceri analyse the answering process in structured interviews built around questionnaires. The following key areas are explored in detail: * An historical overview of the field * The survey within global and local contexts * Combining quantitative and qualitative methods * The process of preparing the survey and designing data collection * The methods of detecting bias and improving data quality Incorporating the work of experts in interpersonal and intercultural relations, this book gives readers an intriguing new perspective on survey research.
(source: Nielsen Book Data)9781849201766 20160618
xiii, 177 p. ; 24 cm.
  • List of Tables ix Preface xi Chapter One: Population-Based Survey Experiments A Hybrid Methodology for the Social Sciences 1 PART I: TREATMENTS FOR POPULATION-BASED EXPERIMENTAL DESIGNS 23 Chapter Two: Treatments to Improve Measurement 25 Chapter Three: Direct and Indirect Treatments 37 Chapter Four: Vignette Treatments 54 Chapter Five: Treatments in the Context of Games 68 PART II: EXECUTION AND ANALYSIS 81 Chapter Six: Execution of Population-Based Survey Experiments 83 Chapter Seven: Analysis of Population-Based Survey Experiments 108 PART III: SITUATING POPULATION-BASED SURVEY EXPERIMENTS 129 Chapter Eight: External Validity Reconsidered 131 Chapter Nine: More Than Just Another Method 155 Bibliography 161 Index 173.
  • (source: Nielsen Book Data)9780691144528 20160605
Population-based survey experiments have become an invaluable tool for social scientists struggling to generalize laboratory-based results, and for survey researchers besieged by uncertainties about causality. Thanks to technological advances in recent years, experiments can now be administered to random samples of the population to which a theory applies. Yet until now, there was no self-contained resource for social scientists seeking a concise and accessible overview of this methodology, its strengths and weaknesses, and the unique challenges it poses for implementation and analysis. Drawing on examples from across the social sciences, this book covers everything you need to know to plan, implement, and analyze the results of population-based survey experiments. But it is more than just a "how to" manual. This lively book challenges conventional wisdom about internal and external validity, showing why strong causal claims need not come at the expense of external validity, and how it is now possible to execute experiments remotely using large-scale population samples. Designed for social scientists across the disciplines, "Population-Based Survey Experiments" provides the first complete introduction to this methodology. It offers the most comprehensive treatment of the subject. It features a wealth of examples and practical advice. It reexamines issues of internal and external validity. It can be used in conjunction with downloadable data from online for design and analysis exercises in the classroom.
(source: Nielsen Book Data)9780691144528 20160605
Green Library
xvi, 599 p. : ill. ; 24 cm. Wiley Online Library
Green Library
52 p. ; 30 cm.
Green Library
1 online resource.
  • Origins and Development of Health Survey Methods / Timothy P Johnson
  • Design and Sampling Issues. Sampling For Community Health Surveys / Michael P Battaglia
  • Developing a Survey Sample Design for Population-Based Case-Control Studies / Ralph DiGaetano
  • Sampling Rare Populations / James Wagner, Sunghee Lee
  • Design and Measurement Issues. Assessing Physical Health / Todd Rockwood
  • Developing and Selecting Mental Health Measures / Ronald C Kessler, Beth-Ellen Pennell
  • Developing Measures of Health Behavior and Health Service Utilization / Paul Beatty
  • Self-Rated Health in Health Surveys / Sunghee Lee
  • Pretesting of Health Survey Questionnaires: Cognitive Interviewing, Usability Testing, and Behavior Coding / Gordon Willis
  • Cross-Cultural Considerations in Health Surveys / Brad Edwards
  • Survey Methods for Social Network Research / Benjamin Cornwell, Emily Hoagland
  • New Technologies for Health Survey Research / Joe Murphy, Elizabeth Dean, Craig A Hill, Ashley Richards
  • Field Issues. Using Survey Data to Improve Health: Community Outreach and Collaboration / Steven Whitman, Ami M Shah, Maureen R Benjamins, Joseph West
  • Proxy Reporting in Health Surveys / Joseph W Sakshaug
  • The Collection of Biospecimens in Health Surveys / Joseph W Sakshaug, Mary Beth Ofstedal, Heidi Guyer, Timothy J Beebe
  • Collecting Contextual Health Survey Data Using Systematic Observation / Shannon N Zenk, Sandy Slater, Safa Rashid
  • Collecting Survey Data on Sensitive Topics: Substance Use / Joe Gfroerer, Joel Kennet
  • Collecting Survey Data on Sensitive Topics: Sexual Behavior / Tom W Smith
  • Ethical Considerations in Collecting Health Survey Data / Emily E Anderson
  • Health Surveys of Special Populations. Surveys of Physicians / Jonathan B VanGeest, Timothy J Beebe, Timothy P Johnson
  • Surveys of Health Care Organizations / John D Loft, Joe Murphy, Craig A Hill
  • Surveys of Patient Populations / Francis Fullam, Jonathan B VanGeest
  • Surveying Sexual and Gender Minorities / Melissa A Clark, Samantha Rosenthal, Ulrike Boehmer
  • Surveying People with Disabilities: Moving Toward Better Practices and Policies / Rooshey Hasnain, Carmit-Noa Shpigelman, Mike Scott, Jon R Gunderson, Hadi B Rangin, Ashmeet Oberoi, Liam McKeever
  • Data Management and Analysis. Assessing the Quality of Health Survey Data Through Modern Test Theory / Adam C Carle
  • Sample Weighting for Health Surveys / Kennon R Copeland, Nadarajasundaram Ganesh
  • Merging Survey Data with Administrative Data for Health Research Purposes / Michael Davern, Marc Roemer, Wendy Thomas
  • Merging Survey Data with Aggregate Data from Other Sources: Opportunities and Challenges / Jarvis T Chen
  • Analysis of Complex Health Survey Data / Stanislav Kolenikov, Jeff Pitblado.
p. cm.
  • List of abbreviations.- Preface.- 1. Introduction.- 2. Materials. 2.1 Field data. 2.1.1 Sampling designs. 2.1.2 Measurements and assessments on field sample plots and plot stands. 2.2 Satellite images. 2.2.1 The applied satellite images. 2.2.2 Landsat 5 TM. 2.2.3 Landsat 7 ETM. 2.2.4 IRS-1C and IRS-1D. 2.3 Digital map data. 2.3.1 The use of the map data. 2.3.2 The main sources of map data. 2.3.3 Peatland. 2.3.4 Arable land. 2.3.5 Urban areas, houses and other built-up areas. 2.3.6 Roads. 2.3.7 Water. 2.3.8 Accuracy of the combined land use map data. 2.3.9 Digital boundaries of the computation units. 2.4 Digital elevation model. 2.5 Large area forest resource data.- 3. Methods. 3.1 Image rectification and pre-processing of data. 3.1.1 Satellite image rectification. 3.1.2 Radiometric correction by means of digital elevation model. 3.1.3 Preparation of input data sets. 3.2 Estimation. 3.2.1 Field data based estimation and reliability analysis. Estimation and error estimation based on the field plot data. 3.2.2 The basic k-NN estimation method. 3.2.3 The improved k-NN (ik-NN) method, use of coarse scale forest variable estimates and genetic algorithm in the distance metric. Simplified sketch of the genetic algorithm. The application of the algorithm. 3.2.4 Selecting estimation parameters and their values for k-NN. 3.2.5 Area and volume estimates - stratification, correction for map errors. Calibrated MS-NFI estimators. Stratified MS-NFI. Calibration of the MS-NFI municipality estimates to the official land areas. 3.2.6 Assessing the errors - current and potential methods. The current methods in assessing the reliability of the results. Model-based error estimation.- 4. Results. 4.1 Forest resources by municipalities. 4.2 Comparison of the results by regions and to MS-NFI8 results. 4.2.1 Variables in the comparison. 4.2.2 Mean volume of growing stock. 4.2.3 Dominant tree species. 4.2.4 Age class distribution on forest land. 4.2.5 Distribution of development classes. 4.2.6 Available energy wood. 4.3 Accuracy of small-area estimates from MS-NFI8 and MS-NFI9. 4.3.1 Empirical errors of MS-NFI9 small-area estimates based on independent inventory data. 4.3.2 Assessing the systematic errors of the MS-NFI8 and MS-NFI9 municipality estimates. 4.4 Digital thematic output maps.- 5. Discussion.- Acknowledgements.- References.- Appendix 1. Forest resource tables 1-8.- Appendix 2. Examples of forest resource maps.- Index.-.
  • (source: Nielsen Book Data)9781402087127 20160605
Building on more than a decade of innovative research into multi-source forest inventory (MS-NFI) this book presents full details of the development, outputs and applications of the improved k-NN method. The method, which was pioneered in Finland in 1990, is rapidly becoming a world standard in forest inventory, having been adopted as standard in Finland and Sweden, and recently introduced in Austria and across the US. The book describes in detail the full MS-NFI process, and the input data used - including field data, satellite images, and digital map data, as well as coarse-scale variation of forest variables. It also presents comprehensive information on the types of outputs which can be derived, including maps and statistics, describing, for example, stock volumes and development, dominant tree species, age-class distribution, and large and small-scale variation. The book will provide an invaluable resource for those involved in forest inventory, including government departments and bodies involved in forest policy, management and monitoring, forest managers, and researchers and graduate students interested in forest inventory, modelling and analysis. It will find an additional market among those interested in Earth observation, ecology and broader areas of environmental and natural resource management. Erkki Tomppo was the winner of the 1997 Marcus Wallenberg Prize for his work on the k-NN method.
(source: Nielsen Book Data)9781402087127 20160605 SpringerLink
ix, 111 p. : ill. ; 22 cm.
  • 1. Social Survey: Basic Issues-- 2. Sampling: Probability or Random Methods-- 3. Non-probability Sampling Methods-- 4. Gaining Access to the Relevant Group-- 5. Focusing Survey Topics and Questions-- 6. The Relationship between Questions and Answers-- 7. Refining the Question-- 8. The Trialling Stage-- 9. Designing Questionnaires and Interview Schedules-- 10. The Piloting Stage-- 11. Running the Main Study-- 12. Descriptive Data Analysis-- 13. Statistical Analysis-- 14. Content Analysis-- 15. Interpretation and Writing up.
  • (source: Nielsen Book Data)9780826496300 20160528
Carrying out a survey is a common element in postgraduate study and professional practice. Surveys are usually done badly but could easily be done to a higher standard by using the straightforward guidance provided in "Small -Scale Social Survey Methods". In this practical and introductory book Gillham provides guidance on: finding the right group to respond to the survey; developing the right questions to ask; understanding the different types of sampling; and analysing the data produced by the survey. "The Real Word Research" series provides readers in a variety of fields - academia, business and the professions - with accessible concise and reliable guides to all of the important aspects of research projects and their methods.
(source: Nielsen Book Data)9780826496300 20160528
Green Library
viii, 349 p. : ill. ; 24 cm.
  • Preface.1. Introduction.2. Basic Sampling Techniques.2.1 Basic definitions.2.2 The Province'91 population.2.3 Simple random sampling and design effect.2.4 Systematic sampling and intra-class correlation.2.5 Selection with probability proportional to size.3. Further Use of Auxiliary Information.3.1 Stratified sampling.3.2 Cluster sampling.3.3 Model-assisted estimation.3.4 Efficiency comparison using design effects.4. Handling Nonsampling Errors.4.1 Reweighting.4.2 Imputation.4.3 Chapter summary and further reading.5. Linearization and Sample Reuse in Variance Estimation.5.1 The Mini-Finland Health Survey.5.2 Ratio estimators.5.3 Linearization method.5.4 Sample reuse methods.5.5 Comparison of variance estimators.5.6 The Occupational Health C are Survey.5.7 Linearization method for covariance-matrix estimation.5.8 Chapter summary and further reading.6. Model-assisted Estimation for Domains.6.1 Framework for domain estimation.6.2 Estimator type and model choice.6.3 Construction of estimators and model specification.6.4 Further comparison of estimators.6.5 Chapter summary and further reading.7. Analysis of One-way and Two-way Tables.7.1 Introductory example.7.2 Simple goodness-of-fit test.7.3 Preliminaries for tests for two-way tables.7.4 Test of homogeneity.7.5 Test of independence.7.6 Chapter summary and further reading.8. Multivariate Survey Analysis.8.1 Range of methods.8.2 Types of models and options for analysis.8.3 Analysis of categorical data.8.4 Logistic and linear regression.8.5 Chapter summary and further reading.9. More Detailed Case Studies.9.1 Monitoring quality in a long-term transport survey.9.2 Estimation of mean salary in a business survey.9.3 Model selection in a socioeconomic survey.9.4 Multi-level modelling in an educational survey.References.Author Index.Subject Index.Web Extension.In addition to the printed book, electronic materials supporting the use of the book can be found in the web extension.
  • (source: Nielsen Book Data)9780470847695 20160528
Large surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues. For proper analysis, it is also important to be aware of the different aspects of the design of complex surveys. "Practical Methods for Design and Analysis of Complex Surveys" features intermediate and advanced statistical techniques for use in designing and analysing complex surveys.This extensively updated edition features much new material, and detailed practical exercises with links to a Web site, helping instructors and enabling use for distance learning. It provides a comprehensive introduction to sampling and estimation in descriptive surveys, including design effect statistic and use of auxiliary data. It includes detailed coverage of complex survey analysis, including design-based ANOVA and logistic regression with GEE estimation. It contains much new material, including handling of non-sampling errors, and model-assisted estimation for domains. It features detailed real-life case studies, such as multilevel modeling in a multinational educational survey. It is supported by a Web site containing software codes, real data sets, computerized exercises with solutions, and online training materials."Practical Methods for Design and Analysis of Complex Surveys" provides a useful practical resource for researchers and practitioners working in the planning, implementation or analysis of complex surveys and opinion polls, including business, educational, health, social, and socio-economic surveys and official statistics. In addition, the book is well suited for use on intermediate and advanced courses in survey sampling.
(source: Nielsen Book Data)9780470847695 20160528
SAL3 (off-campus storage)
46 p. ; 30 cm.
Green Library
64 p. ; 30 cm.
Green Library

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