Estimation of the mean in ranked set sampling with non responses

The estimation of the population mean when ranked set sampling [rss] is used for selecting the sample and non responses [nr] are present, is studied. The nr stratum is sub sampled using simple random sampling with replacement. Two strategies are analyzed. One of them is based on the selection of a sub sample from the nr in each cycle. The other uses sub samples selected among the nr in each rank.  The accuracy of the proposed estimators is characterized by the corresponding expected variances. Simulations and real life data are used for analyzing the behavior of them. Acknowledgements: This paper was developed partially during the visit of the author to Université des Antilles et Gouyane. The author gratefully acknowledges the helpful suggestions of the referees and thanks the support of DAAD for visiting Humboldt University where a version of the paper version was made.     

Unrelated question model with two decks of cards

In this paper, we propose a new unrelated question model for estimating the prevalence of a sensitive characteristic within a population by utilizing two decks of cards. The resultant estimator is then compared to its competitors as to efficiency and as to protection of respondents. A real data application analyzing e-cigarette use among college students is considered.     

Comparison of Cramer–Rao lower bounds of variances for at least equal protection of respondents

In this paper, a new randomized response model is proposed, which is shown to have a Cramer–Rao lower bound of variance that is lower than the Cramer–Rao lower bound of variance suggested by Singh and Sedory at equal protection or greater protection of respondents. A new measure of protection of respondents in the setup of the efficient use of two decks of cards, because of Odumade and Singh, is also suggested. The developed Cramer–Rao lower bounds of variances are compared under different situations through exact numerical illustrations. Survey data to estimate the proportion of students who have sometimes driven a vehicle after drinking alcohol and feeling over the legal limit are collected by using the proposed randomization device and then analyzed. The proposed randomized response technique is also compared with a black box technique within the same survey. A method to determine minimum sample size in randomized response sampling based on a small pilot survey is also given.     

How variation in management perceptions affects organizational performance

This research project uses innovative techniques (multiple respondents and partial relative standard deviations) to examine organizational management ratings of their implementations of market orientation, learning orientation, entrepreneurial management, and organizational flexibility. This study included manufacturers and service businesses, and also not-for-profits in education and healthcare to reflect the 21st century economy. The major finding of this study was larger than the expected response variation within management teams and how this correlated negatively with performance. The results are eye-opening and should be a concern for both management in organizations and the research community.     

Using Social Desirability Scales in Research among the Elderly

A consistent finding is that elderly people obtain higher scores on social desirability (SD) scales than younger ones. It is usually assumed that elderly people are more eager to present themselves in a favourable way. Hence, especially in survey-research among the elderly, it is common practice to include SD-scales to correct for spurious relationships. In this article it is argued that the assumptions underlying such practice are doubtful, because SD-scores may be affected by a variety of factors but the tendency to present oneself favourably. Two such factors related to the question-answering process are discussed in more detail. Empirical support is provided that these factors may explain the relationship between the score on a SD-scale and age. It is argued that using SD-scales to correct for relationships between variables, may lead to erroneous results.     

Exploring South African consumers’ attitudes towards game meat—Utilizing a multi‐attribute attitude model

The study explored the use of a multi‐attribute approach, Fishbein’s attitude‐towards‐the‐object model, in finding the differences between the attitudes of consumers and nonconsumers of game meat among South African respondents towards the following attributes of game meat: sensory characteristics; health benefits; game meat production ethics; animal welfare; safety for human consumption; availability; and price. This quantitative study determined the attitudes of 1,096 consumers and 310 nonconsumers of game meat with an online survey. Based on attitudes towards individual attributes, as determined by Fishbein’s attitude‐towards‐the‐object model, respondents classified some product attributes as important in their decision to consume, or not to consume, game meat. Respondents indicated that the availability, sensory characteristics, game meat production ethics and health benefits are considered to be important in their decision to consume game meat.     

论市场调查拒绝率问题

随着市场调查业的发展,美国调查业正面临着这样一种趋势:每年被调查者拒绝参加调查的拒绝率越来越高。对中国市场调查业来说,需要阐明CMOR关于拒绝率的定义,分析造成拒绝率上升的六种原因:即市场调查业本身为了取悦顾客而愿意为顾客做任何事;公众对隐私的担心;形形色色打着市场调查幌子的商业推销活动对市场调查业的负面影响;公众对电话调查的反感及公众缺少对市场调查方法的选择;访员素质不高薪水较低;被调查者没有得到物质补偿等,并从中找出对中国市场调查业的启示。     

Using an integrated choice and latent variable model to understand the impact of “professional” respondents in a stated preference survey

Internet panels are increasingly used for stated preference research. Because members of such panels receive compensation for each completed survey, one concern is that over time this creates professional respondents who answer surveys solely for the monetary compensation. We identify professional respondents using data on panel tenure, survey response frequency, completion rate and total number of completed surveys. We find evidence of two types of professional respondents: “hyperactives” who answer surveys frequently and “experienced” who have long panel tenure and a large number of completed surveys. Using an integrated choice and latent variable model on stated preference survey data, we find that “hyperactive” respondents are less likely to choose the 'status quo’ and have a more stochastic choice process as seen from the econometrician's point of view, whereas “experienced” respondents have a relatively more deterministic choice process. Our results show that “hyperactive” respondents significantly impact estimated values.