Analyzing complex survey data / Eun Sul Lee, Ronald N. Forthofer.
نوع المادة : نصالسلاسل:Sage university papers series. Quantitative applications in the social sciences ; ; no. 07-71.الناشر:Thousand Oaks, Calif. : Sage Publications, [2006]تاريخ حقوق النشر: copyright 2006الطبعات:2nd edوصف:vii, 91 pages ; 22 cmنوع المحتوى:- text
- unmediated
- volume
- 0761930388 (pbk)
- QA276 L3394 2006
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA276 L3394 2006 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30010000012363 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA276 L3394 2006 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30010000012276 |
Includes bibliographical references (pages 83-87) and index.
Introduction -- Sample design and survey data -- Types of sampling -- The nature of survey data -- A different view of survey data -- Complexity of analyzing survey data -- Adjusting for differential representation: the weight -- Developing the weight by poststratification -- Adjusting the weight in a followup survey -- Assessing the loss or gain in precision: the design effect -- The use of sample weights for survey data analysis -- Strategies for variance estimation -- Replicated sampling: a general approach -- Balanced repeated replication -- Jackknife repeated replication -- The bootstrap method -- The Taylor series method (linearization) -- Preparing for survey data analysis -- Data requirements for survey analysis -- Importance of preliminary analysis -- Choices of the method for variance estimation -- Available computing resources -- Creating replicate weights -- Searching for appropriate models for survey data analysis -- Conducting survey data analysis -- A strategy for conducting preliminary analysis -- Conducting descriptive analysis -- Conducting linear regression analysis -- Conducting contingency table analysis -- Conducting logistic regression analysis -- Other logistic regression models -- Design-based and model-based analysis* -- Concluding remarks.