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عنوان
Survey methodology and missing data :

پدید آورنده
Seppo Laaksonen.

موضوع
Social sciences-- Research-- Statistical methods.,Surveys-- Data processing.,Surveys-- Methodology.,Econometrics.,Probability & statistics.,Psychological testing & measurement.,REFERENCE-- Questions & Answers.,Social research & statistics.,Social sciences-- Research-- Statistical methods.,Surveys-- Data processing.,Surveys-- Methodology.

رده
HA31
.
2

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3319790102
(Number (ISBN
3319790110
(Number (ISBN
9783319790107
(Number (ISBN
9783319790114
Erroneous ISBN
3319790102
Erroneous ISBN
9783319790107

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Survey methodology and missing data :
General Material Designation
[Book]
Other Title Information
tools and techniques for practitioners /
First Statement of Responsibility
Seppo Laaksonen.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2018]
Date of Publication, Distribution, etc.
©2018

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Intro; Preface; Contents; 1: Introduction; References; 2: Concept of Survey and Key Survey Terms; 2.1 What Is a Survey?; 2.2 Five Populations in Surveys; A Multiframe Example; 2.3 The Purpose of Populations; 2.4 Cross-Sectional Survey Micro Data; 2.4.1 Specific Examples of Problems in the Data File; 2.5 X Variables-Auxiliary Variables in More Detail; 2.6 Summary of the Terms and the Symbols in Chap. 2; 2.7 Transformations; Example 2.1 Summary Variable with Linear Transformations; Example 2.2 Summary/Compound Variable Using Exploratory Factor Analysis and Factor Scores; References.
Text of Note
3.8 Examples of Questions and ScalesExample 3.4 Two Alternative Lengths of Scales; Example 3.5 Different Scales for `Happiness ́in the Two Questionnaires; References; 4: Sampling Principles, Missingness Mechanisms, and Design Weighting; 4.1 Basic Concepts for Both Probability and Nonprobability Sampling; 4.2 Missingness Mechanisms; 4.3 Nonprobability Sampling Cases; 4.4 Probability Sampling Framework; 4.5 Sampling and Inclusion Probabilities; Implicit Stratification; PPS with Replacement, with a Valid Inclusion Probability; Example 4.1 ESS Sampling of Dwellings.
Text of Note
3: Designing a Questionnaire and Survey Modes3.1 What Is Questionnaire Design?; 3.2 One or More Modes in One Survey?; Examples of Mixed-Mode Surveys; Estonian Pilot Mixed-Mode Survey 2012 for the ESS; Mode Effects in Estimates; 3.3 Questionnaire and Questioning; 3.4 Designing Questions for the Questionnaire; 3.5 Developing Questions for the Survey; Example 3.1 Instance in Which the Scale Was Kept Similar to Earlier Social Surveys; Example 3.2 Screening Example of the Finnish Security Survey; 3.6 Satisficing; 3.7 Straightlining; Example 3.3 Textual Versus Coded Categories.
Text of Note
Example 4.2 Inclusion Probabilities and Weights of the Test Data with Three-Stage Cluster Design4.6 Illustration of Stratified Three-Stage Sampling; 4.7 Basic Weights of Stratified Three-Stage Sampling; Example 4.3 Basic Weights of the Test Data for the Cluster Domain (see Sect. 6.2); 4.8 Two Types of Sampling Weights; Example 4.4 The Weights of the 2012 PISA Survey; References; 5: Design Effects at the Sampling Phase; 5.1 DEFF Because of Clustering, DEFFc; 5.2 DEFF Because of Varying Inclusion Probabilities, DEFFp.
Text of Note
Example 5.1 Design Effects Because of Unequal Weights in the Test Data, by Eight StrataExample 5.2 Design Effects Because of Unequal Weights Based on the Design Weights in Some Countries of the ESS, Round 6; Count ... ; 5.3 The Entire Design Effect: DEFF and Gross Sample Size; 5.4 How Should the Sample Size Be Decided, and How Should the Gross Sample Be Allocated into Strata?; Example 5.3 Components of the Design Effect for the Variable `Plausible Value of Science Literacy ́in PISA, 2015; References; 6: Sampling Design Data File; 6.1 Principles of the Sampling Design Data File.
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SUMMARY OR ABSTRACT

Text of Note
This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.--

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
00024965
Stock Number
9783319790107

OTHER EDITION IN ANOTHER MEDIUM

Title
Survey methodology and missing data.
International Standard Book Number
9783319790107

TOPICAL NAME USED AS SUBJECT

Social sciences-- Research-- Statistical methods.
Surveys-- Data processing.
Surveys-- Methodology.
Econometrics.
Probability & statistics.
Psychological testing & measurement.
REFERENCE-- Questions & Answers.
Social research & statistics.
Social sciences-- Research-- Statistical methods.
Surveys-- Data processing.
Surveys-- Methodology.

(SUBJECT CATEGORY (Provisional

REF-- 018000

DEWEY DECIMAL CLASSIFICATION

Number
001
.
4/33
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
HA31
.
2

PERSONAL NAME - PRIMARY RESPONSIBILITY

Laaksonen, Seppo

ORIGINATING SOURCE

Date of Transaction
20200823114041.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

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