Current Population Survey

Introduction Many achievements have been accomplished in recent decades in almost every area of technology in connection to engineering, computer science, manufacturing, medicine, and etc. In today 's current times, technology impacts individuals directly or indirectly from laptop to smart phones usage for personal use, at work, home and school. College students have been directly influence by the new technology in their studies since now day’s personal laptop is a requirement for certain classes

from parents. In a school, an analysis is carried out to determine if the performance of mathematics depends on Genetic factors. Population for students who perform better depends on the initial satisfaction exhibited by end year results of this pupils. The population will be based on the confidence level that is required by the School. The amount of students we survey on in this school will be based on the initial level of the research level. The determination of sample size will be based on several

of years and frequency were also included as the survey questions. Information on the prevalence of cigarette smoking and smokeless tobacco use, knowledge and attitudes about tobacco use, urge for smoking cessation and training received regarding patient counseling on smoking cessation techniques were also collected from the survey. The outcome variable was smoking status, classified into categories like the current smoker and former smoker. Current cigarette smokers were defined as those who had

experiment in an effort to augment rather than change current understanding of the dissonance phenomena; however, this theory does not expand the current understanding of dissonance because it does not provide concrete, reliable evidence of how group support can reduce cognitive dissonance. Also the researchers did not test a random or a representative sample and inferred dissonance solely from surveys that measured attitude change. The fact that surveys were used as the main method to ascertain the self-reported

The lesbian, gay, bisexual, and transgender (LGBT) community is a marginalized and vulnerable population. According to Cornelius and Carrick (2015) the population identifying as lesbian, gay, bisexual and transgendered ranges from three to ten percent. As one is forming a research question, the “so what” factor is considered; while ten percent can seem to be an insignificant amount to some, this population deserves quality and unbiased healthcare. Human dignity and flourishing should not be based on

universal single payer system of public insurance coverage for prescription drugs, a universal drug coverage plan like our current healthcare system, it would ensure affordability and comprehensiveness.  This intervention uses Geoffrey Rose’s population

and D’Arcy, C.). The current research intent i) to evaluate if population with unhealthy habits are more likely to develop depression, and ii) to survey if depressed population with unhealthy habits will remain depressed. An overall of 7908 members were assessed in the WHO’s Study on Global AGEing and Adult Health (SAGE) in 2002-2004(Wave 0) and re-assessed

data from the National Health Interview Survey. The trend of migraine prevalence from 2010 to 2015 was assessed. Age and sex adjusted racial/ethnic prevalence of migraine was compared with different factors. Interactions between race/ethnicity and individual variables were also analyzed to determine the impacts of these factors specifically on race or ethnicity. 1. Data sources and subjects The most recently released 2015 National Health Interview Survey (NHIS) was used in this study to analyze

The sample must be representative of the population from which it is drawn and must have a good size to warrant statistical analysis. For the purpose of this study; (a) one (1) educator; (b) one (1) learner; (c) one parent; and (d) one (1) member of SGB will be randomly selected from 5 schools. This will provide the researcher with a sample of 20 participants. 3.6 The Sampling Techniques/Procedures The current study will be conducted through a non-probability sample since

develop a framework for assessing the impact of health interventions for people with serious illness. Examination of Context and Background: Mobile health interventions have the potential to reach a large segment of the U.S. adult population. According to a national survey conducted by the Pew Institute, over 90% of U.S. adults own a mobile phone and over 50% own a smartphone [2]. Mobile technologies hold promise in expanding access to care and improving existing health interventions [3]. As cellular