scholarly journals Statistical estimates bias for data with missing values: Nonresponse study: انحياز التقديرات الإحصائية للبيانات التي تحوي قيماً مفقودة: دراسة حالة عدم الاستجابة

2021 ◽  
Vol 7 (4) ◽  
pp. 69-54
Author(s):  
Hadeel Mohammad Darwish, Muhammad Mazyad Drybati, Mounzer Ha Hadeel Mohammad Darwish, Muhammad Mazyad Drybati, Mounzer Ha
Keyword(s):  
Missing Values ◽  
Causal Models ◽  
Nonresponse Bias ◽  
Empirical Results ◽  
Statistical Estimates ◽  
Nonresponse Rate ◽  
Survey Estimates ◽  
Statistical Surveys ◽  
Rate Correlation

Statistical surveys are usually conducted to obtain data describing a problem in a studied society, and many surveys experience a rise in nonresponse rates, as the rate of nonresponse may affect the bias of the nonresponse in survey estimates. Recent empirical results show instances of nonresponse rate correlation with nonresponse bias, we attempt to translate statistical experiences of nonresponse bias in newly published studies and research into causal models that lead to assumptions about when a lack of response causes bias in estimates. Research studies of the estimates of nonresponse bias show that this bias often exists. The logical question is: what is the advantage of surveys if they suffer from high rates of nonresponse, since post-survey adjustments for nonresponse require additional variables, the answer depends on the nature of the design and the quality of the additional variables.  

scholarly journals Face-to-Face or Sequential Mixed-Mode Surveys Among Non-Western Minorities in the Netherlands: The Effect of Different Survey Designs on the Possibility of Nonresponse Bias

2015 ◽  
Vol 31 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Johannes W.S. Kappelhof
Keyword(s):  
The Netherlands ◽  
Mixed Mode ◽  
Minority Groups ◽  
Survey Design ◽  
Age Groups ◽  
Response Rates ◽  
Nonresponse Bias ◽  
Auxiliary Variables ◽  
Survey Estimates

Abstract This article compares the quality of response samples based on a single mode CAPI survey design with the quality of response samples based on a sequential mixed-mode (CAWI-CATICAPI) survey design among four non-Western minority ethnic groups in the Netherlands. The quality is assessed with respect to the representativity of the response samples and the estimated potential for nonresponse bias in survey estimates based on auxiliary variables and the response rate. This article also investigates if these designs systematically enhance response rates differently among various sociodemographic subgroups based on auxiliary variables. Also, costs and cost-related issues particular to this sequential mixed-mode design are discussed. The results show that sequential mixed mode surveys among non-Western ethnic minorities in the Netherlands lead to less representative response samples and show more potential for nonresponse bias in survey estimates. Furthermore, the designs lead to systematic differences in response rates among various sociodemographic subgroups, such as older age groups. Both designs also cause some of the same sociodemographic subgroups to be systematically underrepresented among all non-Western ethnic minority groups. Finally, the results show that in this instance the cost savings did not outweigh the reduction in quality.

scholarly journals Comprehensive survey among statistical members of medical ethics committees in Germany on their personal impression of completeness and correctness of biostatistical aspects of submitted study protocols

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e032864
Author(s):  
Geraldine Rauch ◽  
Lorena Hafermann ◽  
Ulrich Mansmann ◽  
Iris Pigeot
Keyword(s):  
Medical Ethics ◽  
Missing Values ◽  
Sample Size Calculation ◽  
Ethics Committees ◽  
Secondary Outcome ◽  
Study Protocols ◽  
Individual Assessment ◽  
Statistical Problems ◽  
Multiple Comparison Procedures

ObjectivesTo assess biostatistical quality of study protocols submitted to German medical ethics committees according to personal appraisal of their statistical members.DesignWe conducted a web-based survey among biostatisticians who have been active as members in German medical ethics committees during the past 3 years.SettingThe study population was identified by a comprehensive web search on websites of German medical ethics committees.ParticipantsThe final list comprised 86 eligible persons. In total, 57 (66%) completed the survey.QuestionnaireThe first item checked whether the inclusion criterion was met. The last item assessed satisfaction with the survey. Four items aimed to characterise the medical ethics committee in terms of type and location, one item asked for the urgency of biostatistical training addressed to the medical investigators. The main 2×12 items reported an individual assessment of the quality of biostatistical aspects in the submitted study protocols, while distinguishing studies according to the German Medicines Act (AMG)/German Act on Medical Devices (MPG) and studies non-regulated by these laws.Primary and secondary outcome measuresThe individual assessment of the quality of biostatistical aspects corresponds to the primary objective. Thus, participants were asked to complete the sentence ‘In x% of the submitted study protocols, the following problem occurs’, where 12 different statistical problems were formulated. All other items assess secondary endpoints.ResultsFor all biostatistical aspects, 45 of 49 (91.8%) participants judged the quality of AMG/MPG study protocols much better than that of ‘non-regulated’ studies. The latter are in median affected 20%–60% more often by statistical problems. The highest need for training was reported for sample size calculation, missing values and multiple comparison procedures.ConclusionsBiostatisticians being active in German medical ethics committees classify the biostatistical quality of study protocols as low for ‘non-regulated’ studies, whereas quality is much better for AMG/MPG studies.

scholarly journals Analiza empiryczna zróżnicowania rezultatów pracy ankieterów w kontekście konstrukcji systemu premiowania

Ekonomia ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 145-159
Author(s):  
Halina Woźniak ◽  
Elżbieta Stańczyk
Keyword(s):  
Financial Incentive ◽  
Goods And Services ◽  
Retail Outlets ◽  
Statistical Surveys

The introduction of an additional financial incentive for statistical interviewers aims to improve the quality of statistical surveys carried out in households as well as the quality of quotation of goods and services conducted in retail outlets and service points, inter alia, by increasing the completeness of these surveys. These are conducted by Statistics Poland and its local agendas, i.e. statistical offices. The aim of the article is to analyse the diversity of results of interviewers’ work in the context of construction of the bonus system.As a measure of the result of the interviewerʼs work, the survey completeness index was used, which may be the basis for the level of thresholds defining the amount of the bonus.

USE OF REGRESSION ANALYSIS IN FORECAST TASKS

2020 ◽  
pp. 22-27
Author(s):  
E.S. Lartseva ◽  
◽  
A.D. Kuznetsova
Keyword(s):  
Regression Analysis ◽  
Animal Population ◽  
Short Term ◽  
Statistical Estimates ◽  
Term Forecast ◽  
Applied Software ◽  
The Family ◽  
The Russian Federation

Based on official statistics on the number, of representatives of the family of non-ruminant cloven-hoofed animals (Artiodactyl) on the territory of the Russian Federation. Using the example of two species: domestic pigs and wild boars, the dynamics of the indicator for the long term is analyzed. Multidirectional trends were revealed for each species. Mathematical models of the dynamics of the livestock were obtained using the methods of regression analysis and applied software. Statistical estimates of the quality of animal population models were obtained. The short-term forecast for 2020 has been fulfilled.

Effective Intelligent Data Mining Using Dempster-Shafer Theory

2008 ◽  
pp. 2943-2963
Author(s):  
Malcolm J. Beynon
Keyword(s):  
Data Mining ◽  
Missing Values ◽  
Uncertain Reasoning ◽  
Worst Case ◽  
Data Mining Techniques ◽  
Imperfect Data ◽  
Dempster Shafer Theory ◽  
External Management ◽  
Shafer Theory

The efficacy of data mining lies in its ability to identify relationships amongst data. This chapter investigates that constraining this efficacy is the quality of the data analysed, including whether the data is imprecise or in the worst case incomplete. Through the description of Dempster-Shafer theory (DST), a general methodology based on uncertain reasoning, it argues that traditional data mining techniques are not structured to handle such imperfect data, instead requiring the external management of missing values, and so forth. One DST based technique is classification and ranking belief simplex (CaRBS), which allows intelligent data mining through the acceptance of missing values in the data analysed, considering them a factor of ignorance, and not requiring their external management. Results presented here, using CaRBS and a number of simplex plots, show the effect of managing and not managing of imperfect data.

scholarly journals Applying Benford’s Law to Examine the Quality of Reported Income Numbers of Unlisted Firms

2015 ◽  
Vol 7 (12) ◽  
pp. 211
Author(s):  
Sudershan Kuntluru ◽  
Rachappa Shette ◽  
Achalapathi K.V.
Keyword(s):  
Scenario Analysis ◽  
Listed Companies ◽  
Benford’S Law ◽  
Annual Income ◽  
Empirical Results ◽  
Benford's Law ◽  
Unlisted Firms ◽  
Reported Income

<p>The present study makes an attempt to examine the quality of reported income numbers of unlisted firms in India. The Benford’s Law is applied to examine the digital occurrence of reported income numbers of unlisted firms. The analysis is based on 43,996 reported annual income numbers of 22,147 sample firms during the financial years from 2000-01 to 2011-12. Further, the results are analyzed under four different scenarios viz., ownership, size, age and nature of industry. The empirical results show that the observed proportionate occurrence of zero is significantly less than the expected proportionate occurrence. These results are contrary to the findings of the related studies of listed companies. The results indicate lower quality of reported income numbers of unlisted firms. Based on the scenario analysis, the empirical results indicate that the proportionate occurrence of second single digits of state-owned unlisted firms confirm the Benford’s Law. The present study contributes to the literature by examining the quality of reported income numbers of unlisted firms using the Benford’s Law.</p>

scholarly journals Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Jaemun Sim ◽  
Jonathan Sangyun Lee ◽  
Ohbyung Kwon
Keyword(s):  
Data Analysis ◽  
Missing Data ◽  
Real World ◽  
Missing Values ◽  
Complete Data ◽  
Classification Algorithms ◽  
Quality Of Data ◽  
Related Data ◽  
Ubiquitous Environment

In a ubiquitous environment, high-accuracy data analysis is essential because it affects real-world decision-making. However, in the real world, user-related data from information systems are often missing due to users’ concerns about privacy or lack of obligation to provide complete data. This data incompleteness can impair the accuracy of data analysis using classification algorithms, which can degrade the value of the data. Many studies have attempted to overcome these data incompleteness issues and to improve the quality of data analysis using classification algorithms. The performance of classification algorithms may be affected by the characteristics and patterns of the missing data, such as the ratio of missing data to complete data. We perform a concrete causal analysis of differences in performance of classification algorithms based on various factors. The characteristics of missing values, datasets, and imputation methods are examined. We also propose imputation and classification algorithms appropriate to different datasets and circumstances.

scholarly journals Factors Influencing the Frequency of Consumers’ Purchases of Locally-Produced Rice in Indonesia: A Poisson Regression Analysis

Agriculture ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 117 ◽  
Author(s):  
Apri Wahyudi ◽  
John K. M. Kuwornu ◽  
Endro Gunawan ◽  
Avishek Datta ◽  
Loc T. Nguyen
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Marketing Strategy ◽  
Poisson Regression ◽  
Poisson Regression Model ◽  
Poisson Regression Analysis ◽  
Empirical Results ◽  
Factors Influencing ◽  
Using Data

This study assessed the factors influencing the frequency of purchases of locally-produced rice using data collected from a sample of 400 consumers in Jakarta Province in Indonesia. The empirical results of a Poisson regression model revealed that socio-economic characteristics of the consumers (i.e., gender, age, occupation, education, and income), characteristics of the product (i.e., label and color), and the product’s price and promotion significantly influenced consumers’ frequency of purchasing locally-produced rice. The implication is that increasing the quality of locally-produced rice, applying an appropriate marketing strategy such as offering a relatively lower-priced product compared to the price of imported rice, and product promotion are necessary for increasing the frequency of consumers’ purchases of locally-produced rice.

scholarly journals Degrees of Doxastic Justification

Erkenntnis ◽  
2020 ◽  
Author(s):  
Moritz Schulz
Keyword(s):  
Causal Models ◽  
Doxastic Justification ◽  
Ranking Theory ◽  
Causal Chains ◽  
Dependency Relations

AbstractThis paper studies degrees of doxastic justification. Dependency relations among different beliefs are represented in terms of causal models. Doxastic justification, on this picture, is taken to run causally downstream along appropriate causal chains. A theory is offered which accounts for the strength of a derivative belief in terms of (i) the strength of the beliefs on which it is based, and (ii) the epistemic quality of the belief-forming mechanisms involved. It is shown that the structure of degrees of justification converges to ranking theory under ideal conditions.

Social Sampling Explains Apparent Biases in Judgments of Social Environments

2012 ◽  
Vol 23 (12) ◽  
pp. 1515-1523 ◽  
Author(s):  
Mirta Galesic ◽  
Henrik Olsson ◽  
Jörg Rieskamp
Keyword(s):  
General Population ◽  
National Sample ◽  
Social Position ◽  
Specific Structure ◽  
Human Cognition ◽  
Social Environments ◽  
Empirical Results ◽  
Life Circumstances ◽  
Better Than

How people assess their social environments plays a central role in how they evaluate their life circumstances. Using a large probabilistic national sample, we investigated how accurately people estimate characteristics of the general population. For most characteristics, people seemed to underestimate the quality of others’ lives and showed apparent self-enhancement, but for some characteristics, they seemed to overestimate the quality of others’ lives and showed apparent self-depreciation. In addition, people who were worse off appeared to enhance their social position more than those who were better off. We demonstrated that these effects can be explained by a simple social-sampling model. According to the model, people infer how others are doing by sampling from their own immediate social environments. Interplay of these sampling processes and the specific structure of social environments leads to the apparent biases. The model predicts the empirical results better than alternative accounts and highlights the importance of considering environmental structure when studying human cognition.

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