Gotowe bibliografie tematyczne / Demographic characteristics

Gotowa bibliografia na temat „Demographic characteristics”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 stycznia 2023

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Artykuły w czasopismach na temat "Demographic characteristics"

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YUSIFOV, F. F., i N. E. AKHUNDOVA. "Analysis of Demographic Characteristics Based on E-Demography Data". Demography and social economy 1 (22.04.2022): 38–54. http://dx.doi.org/10.15407/dse2022.01.038.

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The introduction of digital technologies, the Internet and social media into human life provides new information and data sources for the study of demographic behavior. The article studies the analysis of demographic characteristics based on e-demographic data. The creation of an e-demographic system is one of the urgent issues for demographic research, the management of demographic processes and for the study of demographic behavior. The article is devoted to the analysis of demographic indicators. The article examines the existing international experience in the field of e-demography, analyzes the current state of research in the field of creating a single population register. In order to build an e-demographic system, it is proposed to integrate public registers in various fields into a single platform through a personal identification number. Demographic analyzes can be conducted information on social networks, mobile phones, banking systems, insurance companies, via traces in various search browsers. The article analyzes demographic characteristics based on e-demographic data. The experiment examined the analysis of demographic characteristics of graduates who studied abroad. Demographic analysis was conducted according to the age, sex, marital status, education level, specialty, country of study and other indicators of the graduates. K-Means model was used to divide the graduates into different clusters. According to the experience, it is possible to divide graduates who studied abroad into clusters according to their age. Thus, graduates of each cluster can be surveyed according to other demographic indicators. E-demography creates new opportunities for social research and population data monitoring. The establishment of an e-demographic system will allow for population statistics, online census monitoring, in-depth analysis of demographic processes and the study of demographic behavior. Citizens of each cluster will be able to conduct different analyzes according to income, field of work, education and other indicators. The research proposes to build an e-demographic system on the basis of a single state register. In future research, the data in the various registers will be analyzed in depth.
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Ahuja, M., A. Singh i N. Kumar. "Influence of Faculty’s Demographic Characteristics on Motivation". International Journal of Advances in Management and Economics 01, nr 04 (2.07.2012): 95–101. http://dx.doi.org/10.31270/ijame/01/04/2012/12.

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Akıl, Eşref. "Clinical and demographic characteristics of Guillain-Barre syndrome". Dicle Medical Journal 41, nr 4 (1.12.2014): 707–11. http://dx.doi.org/10.5798/diclemedj.0921.2014.04.0504.

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Dr. P. P. S. Paul Kumar, Dr P. P. S. Paul Kumar. "Demographic and Socio-Economic Characteristics Affecting Sports in Andhrapradesh". International Journal of Scientific Research 2, nr 12 (1.06.2012): 499–501. http://dx.doi.org/10.15373/22778179/dec2013/158.

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Antuleska-Belčeska, Gordana, Sladjana Petrović, Lidija Ristić, Dragan Stojanov i Maja Jocić. "DEMOGRAPHIC CHARACTERISTICS OF LUNG CANCER". Acta Medica Medianae 53, nr 2 (15.06.2014): 40–48. http://dx.doi.org/10.5633/amm.2014.0207.

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Henderson, Kenneth V., Ronald E. Goldsmith i Leisa R. Flynnm. "Demographic Characteristics of Subjective Age". Journal of Social Psychology 135, nr 4 (sierpień 1995): 447–57. http://dx.doi.org/10.1080/00224545.1995.9712214.

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Di Stefano, Giovanna, i Antonella Pinnelli. "Demographic Characteristics and Family Life". Current Sociology 52, nr 3 (maj 2004): 339–69. http://dx.doi.org/10.1177/0011392104043083.

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Bunch, Jackson, Jody Clay-Warner i Man-Kit Lei. "Demographic Characteristics and Victimization Risk". Crime & Delinquency 61, nr 9 (6.12.2012): 1181–205. http://dx.doi.org/10.1177/0011128712466932.

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Posner, Barry Z., i Warren H. Schmidt. "Demographic characteristics and shared values". International Journal of Value-Based Management 5, nr 1 (grudzień 1992): 77–87. http://dx.doi.org/10.1007/bf02919232.

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Kokotovic-Kanazir, Vlasta, Marko Filipovic i Milena Panic. "Demographic characteristics of Lika region". Journal of the Geographical Institute Jovan Cvijic, SASA 66, nr 1 (2016): 45–59. http://dx.doi.org/10.2298/ijgi1601045k.

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Rozprawy doktorskie na temat "Demographic characteristics"

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Schnitz, Casey Lee. "Demographic characteristics of ethical consumers". Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/811.

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Hayes, Tracy Machelle. "Demographic Characteristics Predicting Employee Turnover Intentions". ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1538.

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In 2012, more than 25 million U.S. employees voluntarily terminated their employment with their respective organizations. Demographic characteristics of age, education, gender, income, and length of tenure are significant factors in employee turnover intentions. The purpose of this study was to determine if a relationship existed between age, education, gender, income, length of tenure, and employee turnover intention among full-time employees in Texas. The population consisted of Survey Monkey-® Audience members who were full-time employees, residents of Texas, over the age of 18, not self-employed, and not limited to a specific employment industry. For this study, a sample of 187 Survey Monkey-® Audience members completed the electronic survey. Through the proximal similarity model, the results of this study are generalizable to the United States. The human capital theory was the theoretical framework. The results of the multiple regression analysis indicated a significant relationship between age, income, and turnover intentions; however, the relationship between education, gender, and length of tenure was not statistically significant. As the Baby Boomer cohort prepares to transition into retirement, organizational leaders must develop retention strategies to retain Millennial employees. To reduce turnover intentions, organizational leaders should use pay-for-performance initiatives to reward top performers with additional pay and incentives. The social implications of these findings may reduce turnover, which may reduce employee stress, encourage family well-being, and increase participation in civic and social events.
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Storkey, Marian Elaine. "Population projections of different ethnic groups in London, 1991 to 2011". Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246691.

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Niccolai, Valentina [Verfasser]. "Demographic Characteristics and Neural Mechanisms of Synaesthesia / Valentina Niccolai". Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2011. http://d-nb.info/1015458084/34.

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Sinkiewicz, James A. "Predicting enlistment behavior from stated intentions and demographic characteristics". Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA243091.

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Thesis (M.S. in Management)--Naval Postgraduate School, December 1990.
Thesis Advisor: Gorman, Linda. Second Reader: Thomas, George W. "December 1990." Description based on title screen as viewed on April 2, 2010. DTIC Identifier(s): YATSII (Youth Attitude Tracking Study II). Author(s) subject terms: Enlistment prediction, enlistment propensity. Includes bibliographical references (p. 59-60). Also available in print.
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Harder, Elizabeth. "Job Susceptibility to Computerization by Demographic Characteristics: An Empirical Exploration". Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1773.

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Following developments in technological advancement and the ability to automate jobs in the 21st Century, the quantity and variety of jobs impacted by computerization has increased. Using data from the 2013 American Community Survey (ACS), this paper explores how demographic characteristics influence the probability of job computerization. I perform a linear regression and find evidence that differences in race, education, and gender significantly impact the probability of an individual’s occupation to be computerized. Specifically, Hispanics are the most at risk racial/ethnic group followed in order by blacks, Asians, and whites; increased education is associated with lower probability of computerization; and men are more susceptible to facing job automation than women.
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Maswada, Tayseer Abdel-Hafez. "The demographic characteristics of Palestinian refugees in Syria, 1949-1992". Thesis, SOAS, University of London, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300476.

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Lukomski, Jennifer Adele 1960. "Demographic and professional characteristics associated with school psychologists' ethical beliefs". Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/282187.

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To date no systematic empirical study has been published that examines the association between the demographic and professional characteristics of school psychologists and their ethical beliefs concerning school psychology practice. In the present study a representative sample of 345 NASP members rated various behavior descriptions of possible school psychology practices with regard to their ethical beliefs of the appropriateness of such practices and their perceptions as to the frequency of occurrence of such practices. The differences between respondents' gender, age, type of work setting, theoretical orientation, educational level, type of certification, type of ethics training, year highest degree was obtained and years in practice on three dependent measures (i.e., total ethical behavior rating score, dual relationship domain score and competency domain score) were examined. The results showed that there was a high linear association between respondents' ethical ratings of selected behaviors and their respective ratings of the observed frequency of occurrence of such behaviors in practice. In addition, the findings between the demographic and professional characteristics indicated that: (1) female respondents scored significantly higher (i.e., more conservative/less permissive) than male respondents on the three dependent measures, (2) respondents who practiced less than 16 years or graduated after 1981 scored significantly higher (i.e., more conservative/less permissive) on the three dependent measures than those respondents who had worked either more than 16 years or graduated before 1981, (3) Master's and Ed.S. level respondents who had obtained their highest degree after 1981 scored significantly higher (i.e., more conservative/less permissive) than did those Master's and Ed.S. respondents who obtained their degree before 1981, and (4) Doctoral level respondents who received their degree before 1981 scored significantly higher (i.e., more conservative/less permissive) than those Master's degree respondents who received their degree before 1981. The present study's findings were discussed in relation to existing literature on psychology and ethics. In addition, limitations of the present study and suggestions for future research were also addressed.
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Wilson, Shona E. "Demographic characteristics and habitat use of unexploited raccoons in southern Illinois /". Available to subscribers only, 2005. http://proquest.umi.com/pqdweb?did=1083540551&sid=13&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Poznanski, Alex Joshua. "Analyzing demographic and geographic characteristics of "Cycle Atlanta" smartphone application users". Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47701.

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The objective of this research is to analyze how the demographic characteristics and reported home locations of Cycle Atlanta smartphone app users compare to those of cyclists reflected by other datasets. The findings of this research show that the majority of Cycle Atlanta users are young, white males belonging to either a very high annual income group or a low annual income group, with fewer users belonging to middle-income groups. Most of the app's users live in east-side, ``intown' Atlanta neighborhoods. Other cyclist data for the Atlanta area show similar trends, although less pronounced than the trends exhibited by Cycle Atlanta users. Because smartphone apps such as Cycle Atlanta are a fairly recent innovation, there is still a great deal of uncertainty as to how equitably they can gather bicycle data. The research presented in this thesis has the potential to empower transportation planners to plan bicycle facilities that will benefit many different facets of the cycling community in Atlanta. This has the potential to increase the mode share of cycling in cities, which will reduce congestion and promote healthier lifestyles.
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Książki na temat "Demographic characteristics"

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Ayad, Mohamed. Demographic and socioeconomic characteristics of households. Calverton, Md: Macro International, 1997.

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Zoughlami, Younes. The demographic characteristics of household populations. Voorburg, The Hague, Netherlands: International Statistical Institute, 1985.

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Cutler, David M. Demographic characteristics and the public bundle. Cambridge, MA: National Bureau of Economic Research, 1993.

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Corporation, SMR Research. Home equity borrowers, 2001: Demographic & financial characteristics. Hackettstown, NJ (300 Valentine St., Hackettstown 07840): SMR Research Corp., 2001.

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Donna, Glassbrenner. Safety belt use in 2003: Demographic characteristics. Washington, D.C: National Highway Traffic Safety Administration, 2004.

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En, Lau Kak, i Singapore. Dept. of Statistics., red. Singapore census of population, 1990: Demographic characteristics. Singapore: Dept. of Statistics, 1992.

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Woodward, Jeanne M. Housing characteristics, 2000. Washington, DC: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2001.

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Ottoman population, 1830-1914: Demographic and social characteristics. Madison, Wis: University of Wisconsin Press, 1985.

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Felix, Antone C. Child maltreatment in Massachusetts demographic and reporting characteristics. [Boston]: Dept. of Social Services, Executive Office of Human Services, Commonwealth of Massachusetts, 1989.

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Danley, Robert A. The elderly in Massachusetts: Demographic and mortality characteristics. Boston, Mass. (150 Tremont St., Boston 02111): Bureau of Health Statistics, Research and Evaluation, Massachusetts Dept. of Public Health, 1990.

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Części książek na temat "Demographic characteristics"

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Sharbatoghlie, Ahmad. "Demographic Characteristics". W Urbanization and Regional Disparities in Post-Revolutionary Iran, 45–56. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429270116-4.

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Sommers, Lawrence M., Joe T. Darden, Jay R. Harman i Laurie K. Sommers. "Demographic and Ethnic Characteristics". W Michigan, 25–38. 1. Michigan—Description and travel. I. Title.: Routledge, 2019. http://dx.doi.org/10.4324/9780429048432-5.

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Beaudry-Godin, Mélissa, Robert Bourbeau i Bertrand Desjardins. "Extreme Longevity in Quebec: Factors and Characteristics". W Demographic Research Monographs, 169–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49970-9_12.

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AbstractThe recent decrease in adult and late-life mortality led to a very rapid increase in the number of centenarians within low mortality countries. This chapter examines the increase in the number of centenarians in Quebec (Canada) across birth cohorts (1871–1901), and outlines some of the underlying demographic mechanisms involved. We study the demographic situation of centenarians from Quebec (Canada) using all aggregated data available since 1871 (census data, vital statistics, and population estimations). Census data and population estimates are taken from Statistics Canada, while vital statistics come from the Canadian Human Mortality Database (CHMD, 2014 www.bdlc.umontreal.ca) and the Institut de la statistique du Québec.With demographic indicators such as the centenarian ratio, the survival probabilities and the maximal age at death, we try to demonstrate the remarkable progress realised in old age mortality. We also analyze the determinants of the increase in the number of centenarians in Quebec: increase in the size of birth cohorts, increase in the probabilities of surviving from birth to age 80 and from age 80 to 100 for specific cohorts, change in the number of persons aged 100 and over relative to the number of persons reaching exact age 100 and net change due to migration and other factors (errors). This decomposition shows that, among the factors identified, the improvement in late-life mortality (from age 80 to 100) is the main determinant of the increase of the number of centenarians.This study stresses the importance of monitoring the number as well as the quality of life of this emerging population of centenarians. It also helps us gain greater perspective on what should be expected in the coming years among low mortality countries such as Canada.
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Torgler, Benno, i Marco Piatti. "Demographic Characteristics of AER Authors". W A Century of American Economic Review, 42–56. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137333056_4.

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Yusuf, Farhat, Jo M. Martins i David A. Swanson. "Some Demographic Events and Characteristics Analysis". W Methods of Demographic Analysis, 193–213. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6784-3_9.

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Usui, Tsuneo, i Mari Tsuruwaka. "Changing Social and Demographic Characteristics in Asia". W Social Indicators Research Series, 21–45. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2303-0_2.

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Henke, Julia. "Socio-demographic Characteristics of the Sample Population". W Revisiting Economic Vulnerability in Old Age, 137–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36323-9_11.

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Smith, Russell M. "Demographic and Socioeconomic Characteristics of New Cities". W Municipal Incorporation Activity in the United States, 79–95. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72188-0_5.

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Anteneh, Mesfin. "Demographic Characteristics of the Lake Tana Basin". W AESS Interdisciplinary Environmental Studies and Sciences Series, 283–92. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45755-0_18.

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Siegel, Jacob S. "Sociolinguistic Characteristics of the Population of the United States". W Demographic and Socioeconomic Basis of Ethnolinguistics, 185–241. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61778-7_7.

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Streszczenia konferencji na temat "Demographic characteristics"

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"Territorial Characteristics of Internal Migration Processes in Bashkortostan". W XII Ural Demographic Forum “Paradigms and models of demographic development”. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2021. http://dx.doi.org/10.17059/udf-2021-5-1.

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Elizabeth, J., W. R. Murhadi i B. S. Sutejo. "Investor Behavioral Bias Based on Demographic Characteristics". W Proceedings of the 17 th International Symposium on Management (INSYMA 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200127.002.

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Bircek, Nursena, i Gulden Gumusburun Ayalp. "Impact of demographic characteristics on architecture students’ creativity". W PROCEEDINGS OF THE 10TH WORKSHOP ON METALLIZATION AND INTERCONNECTION FOR CRYSTALLINE SILICON SOLAR CELLS. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0105276.

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"Population of Ekaterinburg according to a one-day census of 1873: experience and prospects of using the source". W XII Ural Demographic Forum “Paradigms and models of demographic development”. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2021. http://dx.doi.org/10.17059/udf-2021-1-4.

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The paper presents the results of studying the population structure of Ekaterinburg based on data from a one-day census conducted on March 26, 1873. Sex, age and marriage structure of the population, as well as literacy rates were examined taking into account the differences between the socio-economic groups identified in the source. Analysis of the data showed that homeowners differed little from tenants in terms of the indicated socio-demographic characteristics. Simultaneously, they extremely differed from those people who did not own housing and did not rent it, but lived at the place of work or with their clients. In addition, in the course of the work, a number of errors in the source were identified and editing suggestions were proposed.
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"Forecasting the Number of Grandparents in Sverdlovsk Oblast". W XII Ural Demographic Forum “Paradigms and models of demographic development”. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2021. http://dx.doi.org/10.17059/udf-2021-2-20.

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An increase in the participation of grandparents in the life of their grandchildren has demographic, social, and economic effects. In this regard, one of the main indicators of the demography of grandparenthood is the number of grandparents in society. Using the authors’ approach developed based on the methodology for forecasting the number of grandparents in the country as a whole, the present research forecasts the number of grandmothers in Sverdlovsk oblast for 2021–2025. Calculations show that, in Sverdlovsk oblast, this indicator is unlikely to change in the 5-year perspective; the share of grandmothers in the population of the region is also stable. Understanding of the perspective quantitative trends can prompt the executive bodies of Russian regions responsible for demographic policy to make decisions aimed at improving the qualitative characteristics of grandparents, namely, increasing the share of grandparents actively involved in the life of grandchildren in the number of all grandparents in the region.
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"Мониторинг государственных программ здоровьесбережения (на примере Cвердловской области)". W XII Ural Demographic Forum “Paradigms and models of demographic development”. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2021. http://dx.doi.org/10.17059/udf-2021-2-14.

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As the Russian Federation is characterised by the difficult situation in the healthcare sector and a population decline, it is necessary to pay special attention to priority strategic goals, namely, improvement of the healthcare system. This article analyses the main human health indicators on the example of Sverdlovsk oblast in the period from 2000 to 2020, taking into account regional characteristics. The key factors influencing the growth of mortality in Sverdlovsk oblast are presented. An integrated approach is needed on the part of state and municipal authorities to solve the aforementioned problems. State programmes of health protection are the foundation of public management. The research conducts a comparative analysis of the existing state and municipal healthcare development programmes in Sverdlovsk oblast. The main goals are identified and the priority areas of development are described. The purpose of this study is a comprehensive analysis of the structure, target indicators, regulatory framework of state and regional healthcare programmes in the Russian Federation and adaptation of these programmes at the regional level (on the example of Sverdlovsk oblast). Such methods as the historical approach, the study and generalisation of information, comparison, synthesis, analysis of time series were used in this research.
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Sullivan, Margaret D., Clemencia Cosentino de Cohen, Michael J. Barna, Marisa K. Orr, Russell A. Long i Matthew W. Ohland. "Understanding engineering transfer students: Demographic characteristics and educational outcomes". W 2012 IEEE Frontiers in Education Conference (FIE). IEEE, 2012. http://dx.doi.org/10.1109/fie.2012.6462442.

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Md Harizan, Siti Haslina, i Mohammad Zamhari Tahir. "Socio-demographic Characteristics of Distance Learners in Malaysian Universities". W International Conference on Multidisciplinary Research. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008892106640669.

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Lorincová, Tatiana, i Ivana Ondrijová. "Consumer behavior in the context of selected socio- demographic characteristics". W Konference psychologie práce a organizace 2019. Brno: Masaryk University Press, 2019. http://dx.doi.org/10.5817/cz.muni.p210-9488-2019-17.

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İnel, Tuba Yüce, Pelin Teke Kısa, Ali Balcı, Sadettin Uslu, Zümrüt Arslan, Burcu Ozturk Hismi, Nur Arslan, Fatos Onen i İsmail Sari. "AB0884 CLINICAL AND DEMOGRAPHIC CHARACTERISTICS OF PATIENTS WITH OCHRONOTIC ARTHROPATHY". W Annual European Congress of Rheumatology, EULAR 2019, Madrid, 12–15 June 2019. BMJ Publishing Group Ltd and European League Against Rheumatism, 2019. http://dx.doi.org/10.1136/annrheumdis-2019-eular.4956.

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Raporty organizacyjne na temat "Demographic characteristics"

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Schweizer, Valerie. First vs Remarriage: Demographic Characteristics. National Center for Family and Marriage Research, sierpień 2020. http://dx.doi.org/10.25035/ncfmr/fp-20-19.

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Cutler, David, Douglas Elmendorf i Richard Zeckhauser. Demographic Characteristics and the Public Bundle. Cambridge, MA: National Bureau of Economic Research, luty 1993. http://dx.doi.org/10.3386/w4283.

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Guzzo, Karen. Unintended Births: Variation Across Social and Demographic Characteristics. National Center for Family and Marriage Research, styczeń 2021. http://dx.doi.org/10.25035/ncfmr/fp-21-02.

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Disparities in unintended childbearing remain a public health concern (Healthy People 2030). Using the 2015-19 cycle of the National Survey of Family Growth, we examine sociodemographic variation in birth intendedness, looking at births occurring between 2014-2018 to women aged 15-49. Birth intendedness is based on a series of questions in which women are asked to characterize each birth as on time, mistimed (wanted but occurring earlier than desired), or unwanted (the respondent did not want any births at all, or any additional births). When births are reported as too early, women were then asked how much earlier than desired the birth occurred. We categorize mistimed births into two groups: slightly mistimed (less than two years earlier than desired) or seriously mistimed (two or more years too early). This profile is an update of FP-17-09(1) and the second in a series on unintended childbearing in the U.S.
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Guzzo, Karen. Unintended Births: Variation Across Social and Demographic Characteristics. National Center for Family and Marriage Research, 2017. http://dx.doi.org/10.25035/ncfmr/fp-17-09.

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Ahn, Soo-Kyoung, Eunjung Ryou i Sua Jeon. The Relationship of Consumer Smartness to Demographic and Behavioral Characteristics. Ames (Iowa): Iowa State University. Library, styczeń 2019. http://dx.doi.org/10.31274/itaa.8433.

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Yood, Marianne U., i Kenneth Rothman. A Comparison of Breast Cancer Treatment Regimens by Demographic Characteristics. Fort Belvoir, VA: Defense Technical Information Center, październik 1999. http://dx.doi.org/10.21236/ada391107.

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Yood, Marianne U., i Kenneth Rothman. A Comparison of Breast Cancer Treatment Regimens by Demographic Characteristics. Fort Belvoir, VA: Defense Technical Information Center, październik 2000. http://dx.doi.org/10.21236/ada392359.

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Ulcickas-Yood, Marianne E. A Comparison of Breast Cancer Treatment Regimens by Demographic Characteristics. Fort Belvoir, VA: Defense Technical Information Center, październik 1998. http://dx.doi.org/10.21236/adb247697.

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Nagahi, Morteza, Raed Jaradat, Safae El Amrani, Michael Hamilton i Simon Goerger. Holistic and reductionist thinker : a comparison study based on individuals’ skillset and personality types. Engineer Research and Development Center (U.S.), maj 2021. http://dx.doi.org/10.21079/11681/40746.

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As organizations operate in turbulent and complex environments, it has become a necessity to assess the systems thinking (ST) skills, personality types (PTs), and demographics of practitioners. In this study, we investigated the relationship between practitioners’ ST profile, their PTs profiles and demographic characteristics in the domain of complex system problems. The objective of this study is to address the current gap in the literature – lack of studies dedicated to predicting practitioners’ ST profile based on their PTs and demographics characteristics. A total of 258 practitioners with different demographics and PTs provided the data. The results show that (1) practitioners can be classified based on their ST skills scores into two clusters: holistic and reductionist (that is, ST profile), (2) each cluster has different PTs profiles and demographic characteristics, and (3) practitioner’s ST profile can be predicted, with good accuracy, based on their PTs profile and demographic characteristics.
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Starkey, Sandra, i Pamela Norum. Second Hand Clothing Acquisition: Demographic and Psychographic Characteristics of the Second Hand Shopper. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-846.

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