Dissertation > Excellent graduate degree dissertation topics show

Statistical Methods for Qualitative Sensitive Questions Survey in Stratified Two-stage Sampling and Its Application

Author: WangMian
Tutor: GaoGe
School: Suzhou University
Course: Epidemiology and Biostatistics,
Keywords: qualitative sensitive questions randomized response technique(RRT) stratified two-stage sampling estimator of population proportion estimated variance
CLC: R195.1
Type: Master's thesis
Year: 2010
Downloads: 102
Quote: 0
Read: Download Dissertation

Abstract


Objective: This paper is a part of the study sampling design on sensitive questions survey which is supported by National Natural Science Foundation of China. Before the study, researches of randomized response technique (RRT) for dichotomous and multichotomous sensitive questions were developed and studied with the restriction that the sample was selected through simple random sampling. In the applications of RRT, respondents were restricted to a small population coming from simple random sampling or the formulae for simple random sampling were abused when the sample was selected by stratified sampling, cluster sampling or other relatively complicated sampling methods. In this regard, we select five RRT models, e.g. Warner model ,Simmons model and the improved RRT model, to explore the 10 methods to investigate sensitive issues with the sample selected by two-stage sampling and stratified two-stage sampling. In this way, we can provide scientific and effective methods and formulae on dichotomous and multichotomous sensitive questions survey under the situation of relatively complicated sampling such as two-stage sampling and stratified two-stage sampling from a large population.Method: Two-stage sampling and stratified two-stage sampling techniques, Cochran’s classic sampling theories, total probability formulae, properties of the variance were applied to five RRT models.In addition, reliability and validity were used to evaluate the statistical methods.Result: Formulae were deduced for the estimator of the population proportion and its estimated variance for Warner model, Simmons model and the improved RRT model used for dichotomous sensitive questions survey in two-stage sampling and stratified two-stage sampling. With the help of those formulae, the estimator of the population proportion and its estimated variance of those who have had premarital sex in Dushu Lake campus of Soochow University were calculated.The results got by the three RRT models were 18.52%, 18.99% and17.71%,respectively.Formulae were also deduced for the estimator of the population proportion and its estimated variance for two RRT models which are used for multichotomous sensitive questions survey in two-stage sampling and stratified two-stage sampling. With the help of those formulae,the estimator of the population proportion and its estimated variance of the grade of academic dishonesty among students in Dushu Lake campus of Soochow University in recent two semesters were calculated. The estimated populated proportions of those who had no times, 1~2 times and greater than 2 times of academic dishonesty were 61.25%, 22.31% and 16.44%, respectively.Conclusion: Results of the same item (proportion of premarital sex) of the same subjects got by the three dichotomous sensitive questions RRT models are almost consistent, with high test-retest reliability and congruence relaiability (correlation coefficient r > 0.80 , P < 0.01). 30 experts all over the country evaluated the face validity and content validity of the survey methods , the rate of“excellent”and“good”was 100%. Comparing the results p got by the three dichotomous sensitive questions RRT models with the valid criterion p0, there are no statistically significant difference between p and p0. So we can draw the conclusion that our survey methods and corresponding formulae are scientific, reliable and valid. The randomized response technique has an extensive application in sensitive questions survey on a large scale.

Related Dissertations

  1. 802.16 physical layer based OFDM system simulation and key technology research,TN919.3
  2. The Statistical Analysis of Supermarket Sales of Schools,F271;F717.6
  3. Logistic Regression Multiple Linear Diagnosis and Improvement and Its Application in Medicine,R195
  4. Needs Survey on Psychological Service after Natural Disaster Among Urban Residents,R195
  5. A Cross-sectional Survey on the Mental Health Knowledge Among Middle-school Students in Wuhan,R195
  6. Study on Chinese Health Status Assessment Indicators System,R195
  7. Research on Patterns of Physical Activity and Effects of Interventions among Residents in Communities,R195
  8. Social support and self-rated health,R195
  9. Health Related Quality of Life of Chinese Population,R195
  10. To Assess Effect of Temperature on Cardiovascular Diseases Out-patient Visits in Shanghai Residents with Medical Insurance,R195.1
  11. Chih of Jiangxi community empty nesters depression and anxiety Investigation and Intervention Research,R195
  12. Application of GEE and MLM to Case-crossover Study,R195
  13. Dafeng City , Jiangsu Province, the disease burden of rural residents,R195
  14. Zhejiang Province, an area of rural population health research,R195
  15. A Study on Health Risk Perception of Heat Wave and Relative Adaptation Behaviors Among the Public in Guangdong Province,R195
  16. A Study on the Evaluation of QOL in Community Population of Zhengzhou City,R195
  17. Ezhou adolescent health situation and its influencing factors,R195
  18. Capture - recapture method in the investigation of the cause of death recalled Research and Application,R195
  19. An Analysis of Anxious and Depressive Symptoms, and Generalized Anxiety Disorder in Shanghai’s Primary Care Clinics,R195
  20. Study on Physical/Mental Health and Influencing Factors of Rural Left-behind and Non-left-behind Children,R195
  21. The Study of the Faculty on Prevalence of Major Chronic Diseases and Relatedrisk Factors in Shandong University Center Campus,R195

CLC: > Medicine, health > Preventive Medicine,Health > Health care organizations and career ( Health Management ) > Health Survey and Statistics > Health Statistics
© 2012 www.DissertationTopic.Net  Mobile