On Making Valid Inferences by Integrating Data from Surveys and Other Sources

Rao, J. N. K.

doi:10.1007/s13571-020-00227-w

Cited by 47 publications

(29 citation statements)

References 68 publications

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“…A valid questionnaire characteristic is good organization, clarity, and brevity [131,132]. The questionnaire of this study was created in Google Forms, and the link was sent via e-mail.…”

Section: A Valid Questionnaire Can Bring Useful Insightsmentioning

confidence: 99%

From Theory to Praxis: ‘Go Sustainable Living’ Survey for Exploring Individuals Consciousness Level of Decision-Making and Action-Taking in Daily Life Towards a Green Citizenship

Triantafyllidou

Zabaniotou

2021

Circ.Econ.Sust.

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This study aims at embedding sustainability practices by exploring sustainable actions of individuals consisting the educated workforce of Greece. A tailored questionnaire was created and sent via e-mails to 500 respondents, to identify a snapshot of participants daily buying and consuming actions. 483 responses received and analyzed using statistical tools. They respond to recommendations for enhancing sustainability consciousness at individual level, inspiring people to buy sustainable, creating new consumption attitudes that are key factors for moving towards a sustainable citizenship. The findings will further provide information for a second paper on developing the 'Go Sustainable Living' digital application to be uploaded in individuals' mobile phones, for rewarding users with points that correspond to each sustainable action and can later be used for discounts in all participating stores. The analysis showed that <30% of consumers are considered sustainability-conscious, 57.6% are in a transition phase, while 13% fell into the category of non-conscious. To make sustainable decisions and actions in every daily life, individuals need to have knowledge of sustainability, awareness, consciousness of their actions, and be active citizens. An educated workforce armed with sustainability perceptions and competencies is an asset for societies and businesses poised to respond to the sustainability call. Sustainability should not be only an 'utopia' in our societies but an 'eutopia' entailing a life with ecological and social health and prosperity at a local, regional, and global level.

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“…A valid questionnaire characteristic is good organization, clarity, and brevity [131,132]. The questionnaire of this study was created in Google Forms, and the link was sent via e-mail.…”

Section: A Valid Questionnaire Can Bring Useful Insightsmentioning

confidence: 99%

From Theory to Praxis: ‘Go Sustainable Living’ Survey for Exploring Individuals Consciousness Level of Decision-Making and Action-Taking in Daily Life Towards a Green Citizenship

Triantafyllidou

Zabaniotou

2021

Circ.Econ.Sust.

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“…When combining data for population inference, those relatively tiny but higher quality ones, i.e., probability samples, should be given far more weights than suggested by their sizes. Rao (2020) reviewed individual terms of the difference between the sample mean and the finite population mean.…”

Section: Introductionmentioning

confidence: 99%

Integration of Nonprobability and Probability Samples via Survey Weights

Nandram¹,

Choi²,

Liu³

2021

IJSP

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Probability sample encounters the problems of increasing cost and nonresponse. The cost has rapidly been increasing in executing a large probability sample survey, and, for some surveys, response rate can be below the 10 percent level. Therefore, statisticians seek some alternative methods. One of them is to use a large nonprobability sample (S_1 ) supplemented by a small probability sample (S_2 ). Both samples are taken from the same population and they include common covariates, and a third sample (S_3 ) is created by combining these two samples; S_1  can be biased and S_2  may have large sample variance. These two problems are reduced by survey weights and combining the two samples. Although S_2  is a small sample, it provides good properties of unbiasedness in estimation and of survey weights. With these known weights, we obtain adjusted sample weights (ASW), and create a sample model from a finite population model. We fit the sample model to obtain its parameters and generate values from the population model. Similarly, we repeat these processes for other two samples, S_1  and S_3  and for different statistical methods. We show reduced biases of the finite population means and reduced variances.as the combined sample size becomes large. We analyze sample data to show the reduction of these two errors.

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“…By incorporating the partial information from external samples, one can improve the efficiency of the resulting estimator and obtain a more reliable analysis. Lohr and Raghunathan (2017), Yang and Kim (2020), and Rao (2021) provide reviews of statistical methods of data integration for finite population inference. Many existing methods (e.g., Hidiroglou, 2001;Merkouris, 2010;Zubizarreta, 2015) are mainly concerned with estimating population means or totals while combining information for analytic inference such as regression analysis is not fully explored in the existing literature.…”

Section: Introductionmentioning

confidence: 99%

Survey data integration for regression analysis using model calibration

Wang¹,

J.²,

Kim³

2021

Preprint

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We consider regression analysis in the context of data integration. To combine partial information from external sources, we employ the idea of model calibration which introduces a "working" reduced model based on the observed covariates. The working reduced model is not necessarily correctly specified but can be a useful device to incorporate the partial information from the external data. The actual implementation is based on a novel application of the empirical likelihood method. The proposed method is particularly attractive for combining information from several sources with different missing patterns. The proposed method is applied to a real data example combining survey data from Korean National Health and Nutrition Examination Survey and big data from National Health Insurance Sharing Service in Korea.

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On Making Valid Inferences by Integrating Data from Surveys and Other Sources

Cited by 47 publications

References 68 publications

From Theory to Praxis: ‘Go Sustainable Living’ Survey for Exploring Individuals Consciousness Level of Decision-Making and Action-Taking in Daily Life Towards a Green Citizenship

From Theory to Praxis: ‘Go Sustainable Living’ Survey for Exploring Individuals Consciousness Level of Decision-Making and Action-Taking in Daily Life Towards a Green Citizenship

Integration of Nonprobability and Probability Samples via Survey Weights

Survey data integration for regression analysis using model calibration

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