Analysis survey data (598 résultats)

Paperback. Etat : Good. Secondary analysis has assumed a central position in social science research as existing survey data and statistical computing programs have become increasingly available. This volume presents strategies for locating survey data, provides a comprehensive guide to social science data archives, and describes several major data files. It also reviews research designs for secondary analysis and discusses techniques for managing problems related to variable operationalization, item and sample comparability, sampling error, and the study of rare populations. Researchers of all social science disciplines in both academic and applied settings will find this text extremely useful. The chapter on locating data provides practical information for all secondary analysts, from advanced undergraduates to seasoned researchers. The chapter on making effective use of data introduces certain concepts that require graduate-level statistical training, but the practical problems of data analysis that are presented are ones that all secondary analysts should consider. This dual emphasis makes the volume the most valuable guide to secondary analysis of survey data to come along in recent years.…

Paperback. Etat : Good. This book describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data and provides guidelines that are useful in evaluating polls.

Etat : very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Paperback. Etat : Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Etat : Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

paperback. Etat : Very Good. 1st Edition. Used - Very Good.

Paperback. Etat : Good. Secondary analysis has assumed a central position in social science research as existing survey data and statistical computing programs have become increasingly available. This volume presents strategies for locating survey data, provides a comprehensive guide to social science data archives, and describes several major data files. It also reviews research designs for secondary analysis and discusses techniques for managing problems related to variable operationalization, item and sample comparability, sampling error, and the study of rare populations. Researchers of all social science disciplines in both academic and applied settings will find this text extremely useful. The chapter on locating data provides practical information for all secondary analysts, from advanced undergraduates to seasoned researchers. The chapter on making effective use of data introduces certain concepts that require graduate-level statistical training, but the practical problems of data analysis that are presented are ones that all secondary analysts should consider. This dual emphasis makes the volume the most valuable guide to secondary analysis of survey data to come along in recent years.…

Paperback. Etat : Good. This book describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data and provides guidelines that are useful in evaluating polls.

Etat : Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Etat : Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Paperback. Etat : Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Etat : Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Etat : Good. Paperback. Pages are clean and unmarked. Covers show edge-wear/creasing, some light rubbing/shelf-wear/tanning. The text is immaculate.; 100% Satisfaction Guaranteed! Ships same or next business day.

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Etat : very_good. Fast & Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

Etat : Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

paperback. Etat : Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardback. Etat : Good. As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers.Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest.Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from contemporary astronomical surveysUses a freely available Python codebase throughoutIdeal for students and working astronomers.…

hardcover. Etat : Very Good. Interior is clean and unmarked. Decent amount of wear and scuffing on the covers. A few stray ink stains on outward facing page edges. Hardcover. LW.

hardcover. Etat : Very Good. Interior is clean and unmarked. Some wear and scuffing on exterior, including some bending in the bottom right of the front cover. A few ink stains on outward-facing page edges. Hardcover. LW.

Etat : good. A good reading copy. May contain markings or be a withdrawn library copy.

Soft cover. Etat : Near Fine. No Jacket. Near Fine in trade paperback, light fading to spine, text appears clean and free of marks, LOC1.

Etat : Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardback. Etat : Good. As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers.Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest.Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from contemporary astronomical surveysUses a freely available Python codebase throughoutIdeal for students and working astronomers.…

Paperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Etat : Very Good. 3rd Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.