scholarly journals Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls

2004 ◽  
Vol 12 (4) ◽  
pp. 375-385 ◽  
Author(s):  
David K. Park ◽  
Andrew Gelman ◽  
Joseph Bafumi
Keyword(s):  
Multilevel Model ◽  
Survey Methodology ◽  
State Level ◽  
Demographic Variables ◽  
Binary Response ◽  
Population Information ◽  
Binary Response Variable ◽  
State Region ◽  
The Mean ◽  
Multilevel Logistic Regression Model

We fit a multilevel logistic regression model for the mean of a binary response variable conditional on poststratification cells. This approach combines the modeling approach often used in small-area estimation with the population information used in poststratification (see Gelman and Little 1997, Survey Methodology 23:127–135). To validate the method, we apply it to U.S. preelection polls for 1988 and 1992, poststratified by state, region, and the usual demographic variables. We evaluate the model by comparing it to state-level election outcomes. The multilevel model outperforms more commonly used models in political science. We envision the most important usage of this method to be not forecasting elections but estimating public opinion on a variety of issues at the state level.

The Prevalence of Attention Deficit Hyperactivity Disorder (ADHD) Among Elementary School Children: The Effect of Certain Demographic Variables

2021 ◽  
pp. 75-90
Author(s):  
Tagreed Ameen Zagzoog ◽  
Rehab Mohammed Samy Elshazly ◽  
Mohammad Sayed Said Soliman
Keyword(s):  
Grade Level ◽  
Survey Methodology ◽  
Demographic Variables ◽  
Adhd Symptoms ◽  
Jeddah City ◽  
Hyperactivity Disorder ◽  
Dsm V ◽  
And Gender ◽  
Teacher's Knowledge ◽  
Item Scale

The study aimed to determine the prevalence of ADHD symptoms in Saudi children aged 6 to 13 years in Jeddah city. The study also explored the effect of variables namely teacher's knowledge, years of experience and teachers' gender on reported ADHD symptoms among primary grade students. A questionnaire survey methodology was adopted for the study. 550 children were included in the teachers' survey. Teachers assessed the ADHD symptoms in children using an 18-item scale based on DSM-V. The results indicated that the prevalence rates of ADHD among school-age differed according to ADHD subtypes. The Inattention type was rated by 35.34%, Hyperactivity/Impulsivity type was rated by 28.60%, and ADHD-C type was rated by 21.3% of the respondents. According to gender, for the Inattention subtype, the ratio between boys and girls was 1.7:1, for the Hyperactivity/Impulsivity subtype, the ratio between boys and girls was 2.03:1, and for combined subtype, the ratio between boys and girls was 2.2:1. According to the grade level, the highest prevalence of ADHD overall was found in grade three and the lowest prevalence was in grade six in all ADHD types. The present findings indicated that teachers' knowledge and gender (female) successfully predicted teacher-rated ADHD status.

scholarly journals The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ming Ma ◽  
Sophie Rosenberg ◽  
Alexander M. Kaizer
Keyword(s):  
Survey Research ◽  
State Level ◽  
Simulation Approach ◽  
Multi Stage ◽  
Margin Of Error ◽  
Prevalence Estimates ◽  
Three Stages ◽  
Nonresponse Rate ◽  
The Mean ◽  
The Impact

Abstract Objective While it is known that nonresponse might produce biased results and impair the precision of results in survey research studies, the pattern of the impact on the precision of estimates due to the nonresponse in different survey stages is historically overlooked. Having this type of information is essential when creating recruitment plans. This study proposes to examine and compare the effect of nonresponse in different stages on the precision of prevalence estimates in multi-stage survey studies. Based on data from a state level survey, a simulation approach was used to generate datasets with different nonresponse rates in three stages. The margin of error was then compared between the datasets with nonresponse at three different survey stages for 12 outcomes. Results At the same nonresponse rate, the mean margin of error was greater for the data with nonresponse at higher stages. Additionally, as the nonresponse rate increased, precision was more inflated within the data with higher stage nonresponse. This suggests that the effort used to recruit the primary sampling units is more crucial to improve the precision of estimates in multi-stage survey studies.

scholarly journals Job satisfaction and its related factors in health care providers and health workers in Esfarayen

2019 ◽  
Author(s):  
Ahmad Sadeghi ◽  
Hasan Jafari ◽  
Hossein Rouhani ◽  
Akram Zhianifard ◽  
Maryam Siavashi
Keyword(s):  
Job Satisfaction ◽  
Health Care ◽  
Health Care Providers ◽  
Health Care Organizations ◽  
Health Workers ◽  
Demographic Variables ◽  
Care Providers ◽  
Related Factors ◽  
Care Workers ◽  
The Mean

Introduction: Job Satisfaction in Health care organizations is one of the important pillars of health promotion, due to the role they play in the prevention, care and treatment. The aim of this study was to determine the job satisfaction and its related factors in health workers in Esfarayen. Methods: This descriptive-analytical study was carried out on 140 health care workers in Esfarayen in 2017. Data was collected using Herzberg job satisfaction questionnaire, and data were analyzed using ANOVA and t-test in SPSS21 software. Results: The mean age of participant was 37 ± 8.34. Most of them were female (70%) and married (85.5%). The average of job satisfaction was 61.45 ± 7.65 (out of 100). The highest job satisfaction score was work ability (73.54 ± 1.08) and the lowest score belonged to supervision ( 49.15 ± 5.73). Among the demographic variables, Job satisfaction was significantly associated with Employment Status (P<0.05). Conclusion: Despite employees have job satisfaction, factors that increase job satisfaction of employees should be considered by the relevant authorities. Establishing suitable job standards, fair and reasonable salary, and the creation of facilities in the workplace can lead to improved employee satisfaction and, consequently, improved service quality.

Effectiveness of Information booklet on knowledge regarding Hypertension and Supplementation of beetroot juice among hypertensive patients in a selected Hospital Mangaluru

2021 ◽  
pp. 265-270
Author(s):  
Sunitha P. ◽  
Sucy George
Keyword(s):  
Sampling Technique ◽  
Knowledge Score ◽  
Vital Role ◽  
Demographic Variables ◽  
Beetroot Juice ◽  
Hypertensive Patients ◽  
Beet Root ◽  
Information Booklet ◽  
Post Test ◽  
The Mean

Hypertension (HTN) is an enormous health problem and is one of the biggest health challenges in the 21st century. Effective management in hypertension requires a multi-sectorial approach. Dietary management plays a vital role in managing blood pressure especially beetroot juice which contains nitrates helps in vasodilation thus reducing hypertension. The aim of this study was to assess the effectiveness of information booklet on knowledge regarding hypertension and supplementation of beetroot juice among hypertensive patients and To find the association between mean pre-test knowledge score about hypertension and supplementation of beet root juice with the selected demographic variables. A pre-experimental one group, pre-test post-test design was used for the study. Purposive sampling technique was used to select 30 hypertensive patients. The investigator assessed the knowledge regarding HTN and supplementation of beetroot juice in managing hypertension using structured knowledge questionnaire and then the information booklet was administered to the subjects. The collected data was analysed by using descriptive and inferential statistics. The mean post-test knowledge score (x2=23.87) was higher than the mean pre-test knowledge score (x1=17.40). The mean difference between post-test and pre-test knowledge score was highly significant. The obtained ‘t’ value (11.75) is higher than the table value (t29=1.70 at p<0.05 level significance). There was no significant association between knowledge score and selected demographic variables like age, gender, religion, education, occupation, income, and duration of illness. (2=2.143, 2=0.536, 2=0.000, 2=0.536, 2=2.143, 2=0.133, 2=0.536). Hence it can be concluded that information booklet is an effective strategy for providing information and improving the knowledge of adult hypertensive patients.

Budget oversight in territorial autonomies: A comparative analysis of Hong Kong and Macao

2021 ◽  
pp. 002085232110338
Author(s):  
Brian C.H. Fong
Keyword(s):  
Hong Kong ◽  
Civil Society ◽  
Comparative Studies ◽  
Survey Methodology ◽  
State Level ◽  
Sovereign State ◽  
Systems Model ◽  
One Country Two Systems ◽  
The Media ◽  
The One

Traditionally, comparative budgeting scholars have focused on analysing budget oversight at the sovereign state level. Budget oversight at the territorial autonomy level remains largely under-investigated. Drawing on the Open Budget Survey methodology, this study is a pioneering attempt to compare the budget oversight institutions and practices in Hong Kong and Macao under the ‘one country, two systems’ model. This study finds that the varying practices of budget oversight of Hong Kong and Macao are the consequence of their different bases of opposition politics, including democratic opposition, the media and civil society. This study extends the research focus of existing comparative budgeting literature from sovereign states to territorial autonomies. Thus, it has important implications for budget oversight analysis and policy worldwide. Points for practitioners This article uses comparative studies of Hong Kong and Macao to illustrate how different bases of opposition politics have led to varying practices of budget oversight. For policymakers, the lesson from the comparative studies is that the rise of democratic opposition, the media and civil society will bring about pressures for budget oversight. More policy learning is necessary for policymakers across democracies and semi-democracies to share the experiences of handling the politics of budget oversight.

scholarly journals State Trends in HIV Testing Among US Adults Aged 18-64 Years, 2011-2017

2020 ◽  
Vol 135 (4) ◽  
pp. 501-510
Author(s):  
Amy Krueger ◽  
Christopher Johnson ◽  
Janet Heitgerd ◽  
Deesha Patel ◽  
Norma Harris
Keyword(s):  
Hiv Testing ◽  
Adult Population ◽  
District Of Columbia ◽  
State Level ◽  
Behavioral Risk ◽  
Behavioral Risk Factor Surveillance ◽  
Persons Living With Hiv ◽  
System Data ◽  
The Mean ◽  
Low Prevalence

Objectives HIV testing identifies persons living with HIV and can lead to treatment, decreased risk behaviors, and reduced transmission. The objective of our study was to describe state-level trends in HIV testing in the general US adult population aged 18-64 years, for both ever tested for HIV and tested for HIV in the previous 12 months. Methods Using 2011-2017 Behavioral Risk Factor Surveillance System data, we estimated the percentage of the state population, plus the District of Columbia, aged 18-64 years ever tested for HIV and tested for HIV in the previous 12 months. The 50 states and the District of Columbia were grouped according to the estimated prevalence of HIV in 2011. We used orthogonal contrasts to calculate P values for linear trends. Results The percentage of the population ever tested for HIV increased significantly in 23 states during 2011-2017, whereas the percentage tested for HIV in the previous 12 months increased significantly in 8 states. In 2017, the mean percentage ever tested for HIV in states with a high prevalence of HIV was 8.6 percentage points higher than the mean percentage in states with a low prevalence of HIV (48.5% vs 39.9%); the mean increase in the percentage ever tested was highest (11.4%) in states with a low prevalence of HIV. Conclusion Enhanced efforts by states to make HIV testing simple, accessible, and routine are needed to reduce the number of persons who are not aware of their infection.

scholarly journals Demographic variables associated with Covid-19 mortality

2020 ◽  
Vol 9 (4) ◽  
Author(s):  
José Manuel Madrazo Cabo ◽  
Nuvia Adriana Monter Valera ◽  
Edith Jocelyn Hernández Sánchez ◽  
Mariola Ruiz Sánchez ◽  
Gabriela Sánchez Machorro ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Gross Domestic Product ◽  
Chronic Conditions ◽  
Direct Contact ◽  
Protein S ◽  
Demographic Variables ◽  
Domestic Product ◽  
Population Pyramid ◽  
Pyramid Structure ◽  
The Mean

Objectives: Covid-19 is a betacoronavirus that was initially transmitted to humans from an animal host. It enters the cell by binding its protein S with angiotensin-converted enzyme receptors. It is transmitted through direct contact and respiratory drops. The most affected population so far are older adults and people with chronic conditions. The objective of this research is to analyze the possible association between the structure of the population pyramid, the Gross Domestic Product, the type of isolation and screening used to detect Covid-19 in the countries with the highest and lowest mortality from this disease.Design and Methods: Some variables take part in the Covid-19 mortality worldwide, such as the population structure, expressed in the population pyramid by country, the type of isolation adopted in each nation, the Gross Domestic Product (GDP) as well as the type of screening that is implemented in the different countries analyzed.Results: After analyzing the mean difference in the countries with a regressive and progressive population pyramid, an association was identified between the regressive population pyramid structure and the higher mortality rate (p<0.001).Conclusions: The countries with a progressive population pyramid are the most benefited by making their population more screened since the mortality rate decreases significantly compared to the countries with less attribution (p<0.036).

scholarly journals Perceived Influencers of the Decline on Performance of Students in Botswana General Certificate of Secondary Education’s Agriculture Examination Results

2016 ◽  
Vol 5 (1) ◽  
pp. 199
Author(s):  
Clyde Sibanda ◽  
Keba Hulela ◽  
Nelson Tselaesele
Keyword(s):  
Quantitative Data ◽  
Strong Relationship ◽  
Demographic Variables ◽  
Related Factors ◽  
The Subject ◽  
The Mean ◽  
Spss Software ◽  
Students Attitudes ◽  
Agriculture Teacher ◽  
Age Range

<p>The purpose of the study was to investigate factors perceived to contribute to the decline of students’ performance in the Botswana’s General Certificate of Secondary Education (BGCSE) agriculture results. Ninety-one agriculture examiners were randomly sampled out of 100 teachers who were invited to mark the 2012 end of year examination scripts. A questionnaire was mailed by post and partly hand delivered to gather quantitative data. The SPSS software was used for statistical analysis. The results showed that majority (57%) of the agriculture teacher examiners were male, 66% were in the age range of 31-35 years old. A large proportion (66%) of them had taught for a period of 6 to 15 years. The study revealed positive perceptions of teachers on three constructs influencing the decline on the students’ performance in agriculture. The study revealed that under the construct,<em> Students’ behaviors, social and economic related factors, students attitudes towards the subject </em>yielded high mean (x̅)‘= 4.45<em>,</em> STD (σ) ’ = .81;<em> on Factors related to curriculum issues, </em>the study sho<em>we</em>d<em> </em><em>“</em><em>interpretation of examination items</em><em>”</em><em> </em>had high mean<em> </em>(x̅) ‘= 4.39<em>,</em> STD (σ) = .75 and under the construct on <em>Factors related to resources and infrastructure </em>the mean (x̅) was = 4.79<em>,</em> STD (σ) = <em>.53 </em>was high on the <em>student teacher ratio. </em>The study concluded that the three constructs studied had influence towards students’ performance in agriculture. However, based on interpretational correlations the results did not find any strong relationship among the demographic variables studied.</p>

Hematocrit Values in the CAPD/CCPO Population: A Report of the National CAPO Registry

1990 ◽  
Vol 10 (4) ◽  
pp. 275-278 ◽  
Author(s):  
Anne s. Lindblad ◽  
Karl D. Nolph
Keyword(s):  
Peritoneal Dialysis ◽  
Kidney Disease ◽  
Random Sample ◽  
Recombinant Erythropoietin ◽  
Hematocrit Level ◽  
Polycystic Kidney ◽  
Dialysis Patients ◽  
Population Information ◽  
The Mean ◽  
Anephric Patients

A survey of the National CAPD Registry population was conducted to assess the distribution of hematocrit levels in a large group of peritoneal dialysis patients, to characterize the anemia of the population, and identify factors which relate to variation in hematocrit levels. A random sample of 812 patients was selected from the Registry population. Information was provided on 608 patients. Characteristics of sampled patients were similar to the Registry population as a whole. The mean hematocrit level in this cohort was 29.4% and the median was 29%. Recent peritonitis, time on CAPD, folate therapy, androgen therapy, and iron therapy had no obvious influence on hematocrit distributions. Significantly higher hematocrits were seen in males, whites, and patients with polycystic kidney disease. Significantly lower hematocrits were seen in surgically anephric patients and in patients who had received transfusions 60 days before the survey. Eighty-nine percent of patients had not received a transfusion 60 days prior to the survey. Some patients, especially those with hematocrits below the median, might benefit from recombinant erythropoietin therapy.

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