2 edition of Secondary analysis of sample surveys found in the catalog.
Secondary analysis of sample surveys
ESOMAR/WAPOR (Congress) (1973 Budapest)
Papers included in French.
|Contributions||World Association for Public Opinion Research., ESOMAR (Congress) (1973 : Budapest)., WAPOR (Congress) (1973 : Budapest)|
|The Physical Object|
|Number of Pages||221|
Issues in the Analysis of Complex Sample Survey Data This one-day short course will provide participants with an introductory overview of issues frequently encountered when conducting secondary computer analyses of data collected from sample surveys with complex multi-stage designs (e.g., PSID, NHANES, NCS), including design-based weight determination, software choice, and . The final analysis sample was (unweighted count) Filipino adult respondents in the NHIS Sample Adult and Adult CAM surveys. Using the wtfa_sa weight of the NHIS survey for analysis of the Adult CAM data (NCHS, a), the number of respondents translated to a weighted population estimate of 3,, Filipino : Rhea Faye Felicilda-Reynaldo, Soyung Choi.
Secondary analyses of survey data collected from large probability samples of persons or establishments further scientific progress in many fields. The complex design features of these samples improve data collection efficiency, but also require analysts to account for these features when conducting analysis. Unfortunately, many secondary analysts from fields outside of statistics Cited by: 6. Secondary sources provide second-hand information and commentary from other researchers. Examples include journal articles, reviews, and academic books. A secondary source describes, interprets, or synthesizes primary sources. Primary sources are more credible as evidence, but good research uses both primary and secondary sources.
Secondary Data Analysis (Pocket Guides to Social Work Research Methods) Thomas P. Vartanian In recent decades, social work and other social science research disciplines have become increasingly reliant on large secondary data sets, which have increased in both number and accessibility. Comment from the Stata technical group. Applied Survey Data Analysis, Second Edition is an intermediate-level, example-driven treatment of current methods for complex survey data. It will appeal to researchers of all disciplines who work with survey data and have basic knowledge of applied statistical methodology for standard (nonsurvey) data.
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Secondary Analysis of Sample Surveys. Principles, Procedures, and Potentialities. Herbert H. Hyman. Wiley, New York, xiv, pp., illus. $Author: Morris Rosenberg. Additional Physical Format: Online version: Hyman, Herbert Hiram, Secondary analysis of sample surveys: principles, procedures, and potentialities.
Sample Surveys: Principles, Procedures and Potentialities by Herbert H. Hyman, was published. Since then, the literature on secondary analysis of quantitative data has.
What is Secondary Data Analysis. • “In the broadest sense, analysis of data collected by someone else” (p. ix; Boslaugh, ) • Analysis of secondary data, where “secondary data can include any data that are examined to answer a research question other than theFile Size: 1MB.
ISBN: OCLC Number: Notes: Reprint. Originally published: New York: Wiley, Description: xviii, pages ; 24 cm. Volume 1 introduces secondary analysis and explores the sources and types of survey data available, research design, causality and different approaches to analysis.
Volume 2 centres on exploring and describing data, measurement in surveys, inference and other issues that arise in data analysis. Find many great new & used options and get the best deals for Secondary Secondary analysis of sample surveys book of Sample Surveys: Principles, Procedures, and Potentialities by Herbert H.
Hyman (, Hardcover) at the best online prices at eBay. Free shipping for many products. Of all published articles, the following were the most read within the past 12 months. Techniques for Handling Missing Data in Secondary Analyses of Large Surveys Diane L.
Langkamp, MD, MPH, 1 Amy Lehman, M.A.S., 2 and Stanley Lemeshow, Ph.D. 3 1 Department of Pediatrics, Akron Children's Hospital, Akron, Ohio. Secondary analysis of sample surveys: principles, procedures, and potentialities [by] Herbert H.
Hyman Wiley New York Wikipedia Citation Please see Wikipedia's template documentation for further citation fields that may be required.
Secondary data analysis, on the other hand, is the use of data that was collected by someone else for some other this case, the researcher poses questions that are addressed through the analysis of a data set that they were not involved in : Ashley Crossman.
The middle four chapters are the least travelled ground covering the core secondary analysis skills of data documentation and data manipulation.
Chapters 9 - 12 cover modelling, while the final chapter summarises some key topics. This book is well worth a look if you are teaching surveys or any statistics course using SPSS.
Secondary data analysis also provides researchers with access to data that would otherwise be unavailable or unknown to the public. A good example of this is historical research, in which researchers analyze data from primary sources of historical events and g and O’Connor ()  were interested in understanding what impact religious organizations had on the Author: Matthew DeCarlo.
Big Data is defined by its vastness, often with large highly granular datasets, which when combined with advanced analytical and statistical approaches, can power very convincing conclusions Author: MIT Critical Data.
This book deals primarily with secondary data in the sense of data sets that can be obtained and analyzed in detail by the individual researcher. There is another type of secondary data, again not mutually exclu-sive with the ﬁrst, meaning statistical information about some geo File Size: KB.
Secondary data analysis phd dissertations If you’re a going for a trained or research-based masters course, or carrying out a PhD. then you’ll be requested to provide a dissertation which includes research and knowledge from the project of your design.
Secondary Analysis of Sample Surveys. New York: John Wiley & Sons. This source is particularly useful for anyone attempting to do secondary analysis.
It offers a comprehensive overview of this research method, and couches it within the broader context of social scientific research.
Hyman, H. Ethical concerns arise in secondary data analysis because: A) Subjects have not given consent for the analysis B) Secondary data analysis is equivalent to intellectual theft C) Individuals can still be harmed if sensitive information is disclosed D) True scientists should perform their own data collection.
Secondary analysis was preferred to primary data collection on the basis of economic advantages (Castle,Szabo andStrang, ), and the ethical obligation to reduce wastage of research data.
By the end of this section, you will be able to: Differentiate between four kinds of research methods: surveys, field research, experiments, and secondary data analysis.
Understand why different topics are better suited to different research approaches. Sociologists examine the world, see a problem or interesting pattern, and set out to study it. An Introduction to Secondary Data Analysis with IBM SPSS Statistics - Kindle edition by MacInnes, John.
Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading An Introduction to Secondary Data Analysis with /5(2).Secondary Data Analysis (Pocket Guide to Social Work Research Methods) Thomas P.
Vartanian. out of 5 stars 5. Kindle Edition. $ Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method Don A. Dillman. out of 5 stars Kindle Edition. $ Causal Modeling (Quantitative Applications in the Social Sciences Book 3)Cited by: In contrast with the statistical analysis of sample surveys, survey analysis often deals with total populations; even when the data of survey analysis come from a probability sample, the conventional statistical problems of estimating parameters and testing .