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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
dx.doi.org SpringerLink
1 online resource (37 p).
Assets generate and help diversify income, provide collateral to access credit, alleviate liquidity constraints in the face of shocks, and are key inputs into empowerment. Despite the importance of individual-level data on asset ownership and control, and that most assets are owned by individuals, solely or jointly, it is typical for the micro data on asset ownership to be collected at the household level, often from only one respondent per household. Even when the data are collected at the individual level, with identification of reported or documented owners of a given asset within the household, the information is still often solicited from a single respondent. Further, the identification of owners is seldom paired with the identification of individuals who hold various rights to assets, limiting understanding of the interrelationships among ownership and rights, and whether these relationships vary across individuals. Through a review of the existing approaches to data collection and the relevant literature on survey methodology, this paper presents an overview of the current best practices for collecting individual-level data on the ownership and control of assets in household and farm surveys. The paper provides recommendations in three areas: (1) respondent selection; (2) definition and measurement of assess to and ownership and control of assets; and (3) measurement of the quantity, value, and quality of assets. Open methodological questions that can be answered through analysis of existing data or the collection and analysis of new data are identified for future research.
1 online resource (68 p).
Improving women's agency, namely their ability to define goals and act on them, is crucial for advancing gender equality and the empowerment of women. Yet, existing frameworks for women's agency measurement-both disorganized and partial-provide a fragmented understanding of the constraints women face in exercising their agency, restricting the design of quality interventions and evaluation of their impact. This paper proposes a multidisciplinary framework containing the three critical dimensions of agency: goal-setting, perceived control and ability ("sense of agency"), and acting on goals. For each dimension, the paper (i) reviews existing measurement approaches and what is known about their relative quality; (ii) presents new empirical evidence from Sub-Saharan Africa: validating vignettes as a measurement tool for goal-setting, examining gender and regional discrepancies in response to sense-of-agency measures, and investigating what information spousal disagreement over decision-making roles can provide about the intra-household process of acting on goals; and (iii) highlights priorities for future research to improve the measurement of women's agency.
Masters Theses in Media Studies, Department of Communication, Stanford University
This study focuses on the impact of mode and sampling procedures on polling accuracy during the period of the 2016 presidential election. Utilizing all national and state level polls released during the final 7 days of the election, polls are classified based on the mode and sampling procedure utilized. Accuracy is then analyzed using the average absolute error of the top two candidates (Donald Trump and Hillary Clinton). The study finds that polling methodologies are utilized at very different rates, with polling in the final weeks of the 2016 election being dominated by Internet / River sampling methodologies (45% of polls). Within the sample of polls, RDD / Live Interviewer polls were the most accurate at both the state and national level. The least accurate polls were those that utilized online / river sampling methods. Significance testing was also conducted to measure the significance of the differences in average absolute errors between RDD / Live interview polls and the least accurate, Internet / River Sampling. Both a stratified Fisher-Pitman permutation test and a test using the untransformed absolute difference from the election outcome find strong support for the hypothesized difference between RDD and river surveys.
59 p.
Green Library
1 online resource (23 p).
Research has provided robust evidence for the use of GPS technology to be the scalable gold standard in land area measurement in household surveys. Nonetheless, facing budget constraints, survey agencies often seek to measure with GPS only plots within a given radius of dwelling locations. Subsequently, it is common for significant shares of plots not to be measured, and research has highlighted the selection biases resulting from using incomplete data. This study relies on nationally-representative, multi-topic household survey data from Malawi and Ethiopia that exhibit near-negligible missingness in GPS-based plot areas, and validates the accuracy of a multiple imputation model for predicting missing GPS-based plot areas in household surveys. The analysis (i) randomly creates missingness among plots beyond two operationally relevant distance measures from the dwelling locations; (ii) conducts multiple imputation under each distance scenario for each artificially created data set; and (iii) compares the distributions of the imputed plot-level outcomes, namely, area and agricultural productivity, with the known distributions. In Malawi, multiple imputation can produce imputed yields that are statistically undistinguishable from the true distributions with up to 82 percent missingness in plot areas that are further than 1 kilometer from the dwelling location. The comparable figure in Ethiopia is 56 percent. These rates correspond to overall rates of missingness of 23 percent in Malawi and 13 percent in Ethiopia. The study highlights the promise of multiple imputation for reliably predicting missing GPS-based plot areas, and provides recommendations for optimizing fieldwork activities to capture the minimum required data.
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.
dx.doi.org 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
dx.doi.org 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


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