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Correcting for Nonavailability Bias in Surveys by Weighting Based on Number of Callbacks

基于回访次数加权修正调查中的不在场偏差

When respondents to sample surveys differ from nonrespondents, bias can result. Nonresponse is produced by both refusal and nonavailability. Here we concentrate on nonavailability. Clever weighting schemes to deal with nonavailability bias were proposed about 40 years ago by Politz and Simmons and by Simmons, but further theoretical development has been limited. In the meantime, not only have in-person surveys continued to flourish, but telephone surveys also have become…

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“Equivalent Sample Size” and “Equivalent Degrees of Freedom” Refinements for Inference Using Survey Weights under Superpopulation Models

超总体模型下调查加权推断的等效样本量与等效自由度修正

A number of procedures have been proposed to attack different inference problems for data drawn from a survey with a complex sample design (i.e., a design that entails unequal weighting). Most procedures either are based on finite-population assumptions or require the specification of an explicit model using a superpopulation rationale. Herein we propose some relatively simple approximate procedures that are based on a superpopulation model. They provide valid variance…

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Some Generalizations of the Mitofsky-Waksberg Technique for Random Digit Dialing

随机拨号中 Mitofsky–Waksberg 技术的若干推广

To provide greater flexibility and improved methodology for random digit dialing for telephone surveys, this article proposes a class of two-stage sampling techniques for random digit dialing that generalizes the Mitofsky–Waksberg technique in two directions. First, different ways of classifying telephone numbers are allowed; the classification need not be according to whether or not the number is residential. Second, drawing more than one phone number per primary sampling…

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Some Generalizations of the Mitofsky-Waksberg Technique for Random Digit Dialing

随机号码拨号中 Mitofsky–Waksberg 技术的若干推广

To provide greater flexibility and improved methodology for random digit dialing for telephone surveys, this article proposes a class of two-stage sampling techniques for random digit dialing that generalizes the Mitofsky–Waksberg technique in two directions. First, different ways of classifying telephone numbers are allowed; the classification need not be according to whether or not the number is residential. Second, drawing more than one phone number per primary sampling…

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A Non-Parametric Test of Whether Two Simple Regression Lines are Parallel

检验两条简单回归直线是否平行的非参数方法

This paper provides a means for testing the hypothesis that two simple regression lines are parallel, when the two sets of error terms have two arbitrary unknown continuous distributions. The non-parametric test which is developed here is analogous to the two-sample Wilcoxon test. At the end of the paper, two additional problems in non-parametric regression analysis are briefly referred to.

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Testing for homogeneity: I. The binomial and multinomial distributions

同质性检验:第一部分,二项与多项分布

If we have k binomial samples of different sizes, we may sometimes be interested in the question of homogeneity, i.e. we may want to know whether the k samples all came from binomial distributions with the same parameter p. A similar question of homogeneity may arise if we have k samples from multinomial or Poisson distributions. This paper, which is the first of a series of two, treats the binomial and multinomial situations; the second paper will treat the Poisson case.…

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Some Scheffé-Type Tests for Some Behrens-Fisher-Type Regression Problems

若干 Behrens–Fisher 型回归问题的 Scheffé 型检验

In educational and psychological applications as well as in other applications, it may be necessary to make certain comparisons of two regression lines when the variances are unequal. Such problems arise, for example, in studies comparing two alternative curriculums or two different teaching methods. By generalizing an idea which Scheffé used to obtain a test for the Behrens-Fisher problem, this paper develops some tests for comparing two regression lines when the two sets…

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A generalized multivariate analysis of variance model useful especially for growth curve problems

特别适用于生长曲线问题的广义多元方差分析模型

The usual MANOVA (multivariate analysis of variance) model (see equation (1)) may be generalized (equation (3)) by allowing for the appending of a post-matrix in the expectation equation. As explained in §1, this generalized model (3) is applicable particularly to many kinds of growth curve problems, as well as to other problems. Section 2 is theoretical, and develops techniques of analysis under the generalized model. A numerical example involving growth curves is worked…

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