By James M. Lepkowski, N. Clyde Tucker, J. Michael Brick, Edith de Leeuw, Lilli Japec, Paul J. Lavrakas, Michael W. Link, Roberta L. Sangster
Expertise has replaced considerably how survey organizations acquire facts, from common software of computing device information to units to checklist verbatim responses in the course of interviews. The objectives of the ebook are to collect either the cutting-edge learn and daily sensible functions which are occupied with mobilephone survey method for you to stimulate extra dialogue. it will likely be an built-in quantity representing theoretical, methodological and statistical contributions to the sector.
Read Online or Download Advances in Telephone Survey Methodology PDF
Best probability & statistics books
Publication via Padgett, W. J. , Taylor, R. L.
By utilizing genuine examine investigations that experience seemed in contemporary social technology journals, Gibbons exhibits the reader the explicit technique and logical purpose for plenty of of the best-known and most often used nonparametric equipment which are appropriate to such a lot small and big pattern sizes.
Many mathematical information texts are seriously orientated towards a rigorous mathematical improvement of likelihood and data, with out a lot awareness paid to how information is absolutely used. . against this, glossy Mathematical records with functions, moment variation moves a stability among mathematical foundations and statistical perform.
A size result's incomplete and not using a assertion of its 'uncertainty' or 'margin of error'. yet what does this assertion truly let us know? by way of interpreting the sensible which means of chance, this ebook discusses what's intended by means of a '95 percentage period of dimension uncertainty', and the way such an period could be calculated.
- Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals (ASA-SIAM Series on Statistics and Applied Probability)
- A Calculus for Factorial Arrangements
- Statistical Analysis Quick Reference Guidebook: With SPSS Examples
- Stochastic Optimization Methods, Second Edition
- Systems of Frequency Curves
Additional info for Advances in Telephone Survey Methodology
P A R T II Sampling and Estimation CHAPTER 2 Sampling and Weighting in Household Telephone Surveys William D. Kalsbeek and Robert P. Agans University of North Carolina at Chapel Hill, USA This chapter updates an earlier review by Lepkowski (1988) and provides a backdrop for in-depth treatment of sampling-related topics in the other chapters of the volume. It begins by considering features and limitations of using telephone numbers to choose probability samples of telephone households in the United States.
On knowledge or attitude items in the interview). The principal argument for not sampling within household is that taking multiple individuals per household lowers the cost per respondent (leading to a larger sample size) once the set of participating households is identiﬁed. , socioeconomic indicators). 40 SAMPLING AND WEIGHTING IN HOUSEHOLD TELEPHONE SURVEYS Several approaches have been proposed for sampling within households. Many were devised for face-to-face surveys but are adaptable to telephone administration, especially when computer technology is used for data collection.
1991), and Sudman et al. (1996) suggest that respondents do not use the same strategies for self- and proxy reports, although these differences are more of degree than principle. Factors that help to explain the similarity in self- and proxy reporting strategies include (a) the degree of the respondent’s participation in the events, (b) the social distance between self- and proxy respondents, and (c) the social desirability of behavior being reported. Whether or not proxy reporting should be considered, 42 SAMPLING AND WEIGHTING IN HOUSEHOLD TELEPHONE SURVEYS researchers have struggled to ﬁnd conclusive evidence of consistent differences in the quality of self- and proxy reporting (Moore, 1988).