scholarly journals Survey design and analysis considerations when utilizing misclassified sampling strata

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aya A. Mitani ◽  
Nathaniel D. Mercaldo ◽  
Sebastien Haneuse ◽  
Jonathan S. Schildcrout
Keyword(s):  
Ethnic Minorities ◽  
Random Sampling ◽  
Survey Design ◽  
Simple Random Sampling ◽  
Stratified Sampling ◽  
Simple Random Sample ◽  
Parameter Estimates ◽  
Complex Survey ◽  
Racial And Ethnic Minorities ◽  
Complex Survey Design

Abstract Background A large multi-center survey was conducted to understand patients’ perspectives on biobank study participation with particular focus on racial and ethnic minorities. In order to enrich the study sample with racial and ethnic minorities, disproportionate stratified sampling was implemented with strata defined by electronic health records (EHR) that are known to be inaccurate. We investigate the effect of sampling strata misclassification in complex survey design. Methods Under non-differential and differential misclassification in the sampling strata, we compare the validity and precision of three simple and common analysis approaches for settings in which the primary exposure is used to define the sampling strata. We also compare the precision gains/losses observed from using a disproportionate stratified sampling scheme compared to using a simple random sample under varying degrees of strata misclassification. Results Disproportionate stratified sampling can result in more efficient parameter estimates of the rare subgroups (race/ethnic minorities) in the sampling strata compared to simple random sampling. When sampling strata misclassification is non-differential with respect to the outcome, a design-agnostic analysis was preferred over model-based and design-based analyses. All methods yielded unbiased parameter estimates but standard error estimates were lowest from the design-agnostic analysis. However, when misclassification is differential, only the design-based method produced valid parameter estimates of the variables included in the sampling strata. Conclusions In complex survey design, when the interest is in making inference on rare subgroups, we recommend implementing disproportionate stratified sampling over simple random sampling even if the sampling strata are misclassified. If the misclassification is non-differential, we recommend a design-agnostic analysis. However, if the misclassification is differential, we recommend using design-based analyses.

Estimation from an Under-Covered Sample in a Complex Survey for Auditing

2003 ◽  
Vol 54 (1-2) ◽  
pp. 115-120 ◽  
Author(s):  
Arijit Chaudhuri
Keyword(s):  
Survey Design ◽  
Simple Random Sampling ◽  
Complex Survey ◽  
Population Total ◽  
Government Documents ◽  
Complex Survey Design ◽  
The Mean ◽  
Mean Square Errors ◽  
Implementation Stage ◽  
Selection Of

We encounter a practical problem when from a finite population a complex survey design justifies selection of a sample in five stages. The design stipulates selecting a specified number of n(> 2) first stage units by Rao, Hartley and Cochran's (RHC, 1962) scheme followed by simple random sampling (SRS) without replacement (WOR) in each of the four subsequent stages. At the implementation stage a resource crunch calls for reducing the first stage sample size from n to m ( m < n). The consequential modifications in the methods of estimation of population total, mean and ratio of two totals and those of the variance of the first and the mean square errors of the latter two estimators are spelt out. The problem arises in the context of designing audits of Government documents by appropriate sampling.

Peran Kedisiplinan Belajar dan Kecerdasan Matematis Logis Dalam Pembelajaran Matematika

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Supardi Supardi
Keyword(s):  
Mathematics Achievement ◽  
Multiple Regression ◽  
Random Sampling ◽  
Survey Design ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Normality Test ◽  
Simultaneous Impact ◽  
Inferential Analysis ◽  
Test Requirements

<p>The purpose of this study was to determine the influence of learning discipline <br />and logical mathematical intelligence on mathematics achievement. This study is a survey design. This research did in student class XI IPA SMA Negeri 98 Jakarta semester 2012/2013. The sample taken by simple random sampling technique, involved 40 students. The instrument were in the forms of questionnaires and tests. The data were analyzed first by test requirements, the normality test, linearity and multicollinearity. Based on the fulfillment of the criteria in terms of the tes analyzed, inferential analysis to the test the research hypothesis. The data were analyzed using correlation and multiple regression. The findings showed that (1) learning discipline and logical mathematical intelligence had a positive and significant simultaneous impact on mathematics achievement. (2) learning discipline had a positive and significant impact on mathematics achievement. (3) logical mathematical intelligence had a positive and significant impact on mathematics achievement. </p>

scholarly journals Analysis of the Impact of the Type of Sampling of Representative Properties on the Results of Mass Appraisal

2020 ◽  
Vol 20 (2) ◽  
pp. 152-167
Author(s):  
Sebastian Gnat
Keyword(s):  
Real Estate ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Multiple Regression Model ◽  
Stratified Sampling ◽  
Sampling Errors ◽  
Real Estate Valuation ◽  
Simple Sampling ◽  
The Impact ◽  
Mean Square Errors

Abstract Research background: Mass valuation is a process in which many properties are valued simultaneously with a uniform approach. An example of a procedure used for mass real estate valuation is the Szczecin Algorithm of Real Estate Mass Appraisal (SAREMA), which can be developed into a multiple regression model. The algorithm is based on a set of drawn representative properties. This set determines, inter alia, the quality of obtained valuations. Purpose: The objective of the study is to verify the hypothesis whether changing the method of sampling representative properties from the originally used simple random sampling to stratified sampling improves the results of the SAREMA econometric variant. Research methodology: The article presents a study that uses two methods of representative properties sampling – simple random sampling and stratified sampling. Errors of the models of valuation created taking into account both methods of sampling and different number of representative properties are compared. A key aspect of the survey is the choice of a better sampling method. Results: The study has shown that stratified sampling improves valuation results and, more specifically, allows for lower root mean square errors. Stratified sampling yielded better results in the initial phase of the study with more observations, but reducing the percentage of strata participating in the draws, despite the increase in RMSE, guaranteed lower errors than the corresponding results based on simple sampling in all variants of the study. Novelty: The article confirms the possibility of improving the results of mass property valuation by changing the scheme of representative properties sampling. The results allowed for the conclusion that stratified sampling is a better way of creating a set of representative properties.

Users Satisfaction With Library Services

2018 ◽  
pp. 881-891
Author(s):  
Violet E. Ikolo
Keyword(s):  
Random Sampling ◽  
Information Sources ◽  
Survey Design ◽  
Simple Random Sampling ◽  
Library Services ◽  
State University ◽  
Questionnaire Data ◽  
Library Users ◽  
Descriptive Survey ◽  
Delta State University

The study focused on users satisfaction with library services at the Delta State University main Library, Abraka, Delta State. The objective was to find out if users are satisfied with the services, facilities, the library environment, information sources and staff of the library. Using the descriptive survey design the population for the study consisted of all registered library users in the Site II of the Delta State University, Abraka Campus. The study employed the simple random sampling techniques in selecting the sample size for the study, and with a questionnaire data were collected. The findings revealed that the services offered at the Delta State University are inadequate and below average. Most users were satisfied with the availability of information sources in the library but also registered that most of these information sources are not available for loan. The findings also showed that there is a significant relationship between the assessment of library collection by users and their satisfaction with information sources. The library environment is clean and the reading carrels are adequate but, there are no effective lightening and toilet facilities.

scholarly journals Adherence to DASH Dietary Pattern Is Inversely Associated with Osteoarthritis in Americans (P18-012-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Ellen Francis ◽  
Karen Kemper ◽  
Joel Williams ◽  
Liwei Chen
Keyword(s):  
Dietary Pattern ◽  
Survey Design ◽  
Dietary Factors ◽  
Common Disease ◽  
Dash Score ◽  
Complex Survey ◽  
Logistic Regression Models ◽  
Funding Sources ◽  
Lower Likelihood ◽  
Complex Survey Design

Abstract Objectives Osteoarthritis (OA) is a common disease which significantly contributes to disability among older adults. Dietary factors are suggested to play a role in preventing OA, however, studies in this area spare. The objective of this study was to assess the association between adherence to the Dietary Approaches to Stop Hypertension (DASH) and OA in American adults. Methods This study included United States (US) adults (≥aged 20 years) who participated NHANES cycles 2007–2016. The Dietary Approaches to Stop Hypertension (DASH) score was calculated from nine food items with a higher DASH score indicating better adherence to the DASH dietary pattern. Multivariable logistic regression models adjusted for age, education, race/ethnicity, household income, smoking, alcohol consumption, and total energy intake were used to estimate the adjusted odds ratios (aOR) and 95% confidence intervals (CI) of DASH with OA. All analyses accounted for the complex survey design. Results Among the 17,349 participants included in this study, 9.05% reported OA. The DASH score was inversely associated with OA. The aOR (95% CI) were 1.00 (ref), 0.09 (0.70, 1.16), and 0.74 (0.58, 0.94) (Ptrend = 0.01) across the DASH score tertiles. When analyses were stratified by BMI categories (normal, overweight, obese) the magnitude of the association was stronger and remained significant only among obese participants (i.e., BMI ≥ 30 kg/m2). Among participants with an obese BMI, participants with a DASH score in the highest tertile compared to participants with a DASH score in the lowest tertile had a 17% lower likelihood of having OA (P = 0.009). Conclusions In a representative sample of American adults, higher adherence to the DASH dietary pattern was associated with lower likelihood of having OA and this association was particularly evident among obese individuals. Funding Sources N/A. Supporting Tables, Images and/or Graphs

scholarly journals The impact of complex survey design on prevalence estimates of intakes of food groups in the Australian National Children's Nutrition and Physical Activity Survey

2011 ◽  
Vol 15 (8) ◽  
pp. 1362-1372 ◽  
Author(s):  
Sandy Burden ◽  
Yasmine Probst ◽  
David Steel ◽  
Linda Tapsell
Keyword(s):  
Physical Activity ◽  
Survey Design ◽  
Food Groups ◽  
Sample Design ◽  
Complex Survey ◽  
Children's Nutrition ◽  
Prevalence Estimates ◽  
Complex Survey Design ◽  
Activity Survey ◽  
The Impact

AbstractObjectiveTo assess the impact of the complex survey design used in the 2007 Australian National Children's Nutrition and Physical Activity Survey (ANCNPAS07) on prevalence estimates for intakes of groups of foods in the population of children.DesignThe impacts on prevalence estimates were determined by calculating design effects for values for food group consumption. The implications of ignoring elements of the sample design including stratification, clustering and weighting are discussed.SettingThe ANCNPAS07 used a complex sample design involving stratification, a high degree of clustering and estimation weights.SubjectsAustralian children aged 2–16 years.ResultsDesign effects ranging from <1 to 5 were found for the values of mean consumption and proportion of the population consuming the food groups. When survey weights were ignored, prevalence estimates were also biased.ConclusionsIgnoring the complex survey design used in the ANCNPAS07 could result in underestimating the width of confidence intervals, higher mean square errors and biased estimators. The magnitude of these effects depends on both the parameter under consideration and the chosen estimator.

scholarly journals Brazilians’ experiences with iron fortification: evidence of effectiveness for reducing inadequate iron intakes with fortified flour policy

2016 ◽  
Vol 20 (2) ◽  
pp. 363-370 ◽  
Author(s):  
Diva Aliete dos Santos Vieira ◽  
Josiane Steluti ◽  
Eliseu Verly-Jr ◽  
Dirce Maria Marchioni ◽  
Regina Mara Fisberg
Keyword(s):  
Survey Design ◽  
Age Groups ◽  
Substantial Reduction ◽  
Population Based ◽  
Reproductive Age ◽  
Cross Sectional ◽  
Complex Survey ◽  
Before And After ◽  
Complex Survey Design ◽  
Fortified Flour

AbstractObjectiveTo assess Fe intake, calculate the prevalence of inadequate Fe intake and identify food contributors to Fe intake during 2003 and 2008 in a population-based study, reflecting before and after the mandatory fortification of flour with Fe.DesignTwo cross-sectional population-based studies conducted in 2003 and 2008. Dietary intake was evaluated by 24 h recall and the Software for Intake Distribution Estimation (PC-SIDE) was used to estimate within-person variance and prevalence of inadequate Fe intake. The statistical analysis was conducted considering the complex survey design.SettingSão Paulo, Brazil.SubjectsAdolescents, adults and elderly adults of both sexes, interviewed in 2003 (n 2386) and 2008 (n 1661).ResultsThe Fe intake mean increased in all populations in the post-fortification period. A reduction of over 90 % was observed in the prevalence of inadequate Fe intake among men for all age groups analysed. When evaluating women, despite the substantial reduction (over 63 %), prevalence of inadequate Fe intake remained high (34 %) in those aged 19–50 years. Major food contributors to Fe intake before fortification were beans, beef, vegetables and dairy. There was an alteration in the contributors in the post-fortification period, with bread, beef, beans and biscuits as main contributors.ConclusionsThe mandatory fortification with Fe significantly furthered the reduction in the prevalence of inadequacy, except among women of reproductive age, and changed the main contributors to this nutrient in the studied population. Therefore, monitoring of Fe addition in flour is essential to assess compliance to the fortified flour policy and to guarantee a safe Fe intake for all the population.

Sign in / Sign up

Export Citation Format

Share Document