Academic literature on the topic 'Demographic Variables in Psychological Variables'

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Journal articles on the topic "Demographic Variables in Psychological Variables"

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Carroll, D. "Cardiovascular reactions to psychological stress: the influence of demographic variables." Journal of Epidemiology & Community Health 54, no. 11 (2000): 876–77. http://dx.doi.org/10.1136/jech.54.11.876.

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Dougherty, Ronald J., and Norman J. Lesswing. "Inpatient cocaine abusers: An analysis of psychological and demographic variables." Journal of Substance Abuse Treatment 6, no. 1 (1989): 45–47. http://dx.doi.org/10.1016/0740-5472(89)90020-2.

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Uchiyama, Craig Lyons, Maura Mitrushina, Paul Satz, and Matthew Schall. "Direct and indirect effects of demographic, medical, and psychological variables on neuropsychological performance in normal geriatric persons: A structural equation model." Journal of the International Neuropsychological Society 2, no. 4 (1996): 299–305. http://dx.doi.org/10.1017/s1355617700001314.

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AbstractThe direct and indirect effects of demographic, medical, and psychological variables on neuropsychological performance in elderly individuals were examined using a LISREL structural equation model. One-hundred fifty-six geriatric subjects were individually administered a comprehensive neuropsychological battery, an extensive medical history and demographics questionnaire, and the Neuropsychology Behavior and Affect Profile (a psychological assessment instrument). The model assessed the effects of five independent latent variables (medical history, psychological functioning, global ment
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Liew, Wei-Peng, Intan Hashimah Mohd Hashim, and Masarah Mohamad Yusof. "DEMOGRAPHIC VARIABLES AND FLOURISHING AMONG ELDERLY: A REVIEW." Journal of Human Development and Communication (JoHDeC) 12 (April 1, 2024): 10–19. http://dx.doi.org/10.58915/johdec.v12.2023.625.

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Flourishing is a state of optimal mental well-being associated with the experience of doing and living well across all aspects of life, including psychological and social. Flourishing is important and beneficial throughout a life span including late adulthood. Yet, studies on flourishing among elderly especially from a heterogeneous culture such as Malaysia are still limited. Socio-demographic variables (such as age, gender, ethnicity, marital status, source of income and education attainment) can be key variables that contribute to flourishing among elderly. This paper reviews previous studie
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Oludele Olagoke Ogunlade and Olusola Joseph Adesina. "Psycho-Demographic Variables Influencing Adolescents Vocational Aspiration in Ibadan, Nigeria." Jurnal Ilmiah Bimbingan Konseling Undiksha 15, no. 2 (2024): 207–13. https://doi.org/10.23887/jibk.v15i2.93107.

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Vocational aspiration is an important behavioural process a human being is expected to ponder on ever before career decision is made. This study examined the influence of psycho‐demographic and psychological variables on vocational aspirations among 250 adolescents in Ibadan, Nigeria. Employing a correlational design, the research assessed the effects of four demographic factors (age, gender, religious affiliation, and parental education) and two psychological constructs (self‐concept and motivation) on vocational aspiration. Data were collected via a researcher‐developed instrument with estab
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Al Kandari, Yagoub, and Ramadan A. Ahmed. "Social, psychological and demographic variables related to breastfeeding among Kuwaiti mothers." Eastern Mediterranean Health Journal 24, no. 07 (2018): 624–30. http://dx.doi.org/10.26719/2018.24.7.624.

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Petkoska, Jasmina, and Joanne K. Earl. "Understanding the influence of demographic and psychological variables on retirement planning." Psychology and Aging 24, no. 1 (2009): 245–51. http://dx.doi.org/10.1037/a0014096.

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Flynn, Leisa Reinecke, Jacqueline Kilsheimer Eastman, and Stephen J. Newell. "Predicting rock music consumption behaviors of undergraduates: Demographic versus psychological variables." Popular Music and Society 17, no. 4 (1993): 13–28. http://dx.doi.org/10.1080/03007769308591532.

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Panda, Debadrita, Sabyasachi Mukhopadhyay, and Rajarshi Saha. "BoPMLPIP: Application of Classification Techniques to Explore the Impact of PIP among BoPs." International Journal of Intelligent Systems and Applications 14, no. 6 (2022): 13–27. http://dx.doi.org/10.5815/ijisa.2022.06.02.

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This study tries to gain insight into the effect of demographic and psychological variables on the Bottom of the Pyramid (BoP) consumers for making Packaging Influenced Purchase (PIP) decisions by focusing on two specific consumer behaviour theories - compensatory consumption and consumers’ resistance. Being the product's face, packaging contributes heavily to the above mentioned two streams of consumption behaviour. A collection of ten demographic variables and four psychological variables have been administered on a sample of 1400 BoP consumers to explore their effect behind making PIP of se
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Gray, Joshua C., Natasha A. Schvey, and Marian Tanofsky-Kraff. "Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study." Psychological Medicine 50, no. 9 (2019): 1539–47. http://dx.doi.org/10.1017/s0033291719001545.

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AbstractBackgroundPrevious research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to assess their relative associations with body mass index (BMI; kg/m2) in a nationally representative sample of youth.MethodsMultiple machine learning regression approaches were employed to estimate the relative importance of 43 demographic, psychological, behavioral, and cognitive variables previously associated with BMI in youth to elucidate the a
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Dissertations / Theses on the topic "Demographic Variables in Psychological Variables"

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Sawatzky, Dale James. "Adjustment to hemodialysis : a relationship study with demographic variables." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26913.

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This study examines the relationships between three aspects of adjustment to hemodialysis (i.e. activity levels, mood states and severity of symptoms) and four demographic variables (i.e. age, occupation, education and length of time on dialysis). The sample consisted of 37 patients on hemodialysis. Activity levels, mood states and severity of symptoms were measured by the activity inventory, profile of mood states and symptom questionnaire, respectively. A personal history questionnaire was employed to assess the demographic variables. The data was analyzed using the Pearson Product-Moment C
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Clapp, Robert Bruce Jr. "Demographic Variables and Intelligence Test Scores in Disability Applicants." Cleveland State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1401588327.

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Thomas, Tracy A. "Predicting restoration of competence to stand trial demographic, clinical, and legal variables /." Morgantown, W. Va. : [West Virginia University Libraries], 2010. http://hdl.handle.net/10450/10878.

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Thesis (Ph. D.)--West Virginia University, 2010.<br>Title from document title page. Document formatted into pages; contains v, 56 p. : ill. Includes abstract. Includes bibliographical references (p. 30-35).
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Brunty, Tom J. "The prediction of return-to-work in a chronic pain population : psychological, demographic and medical variables /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487775034178146.

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Alonazi, Ahmed. "Psychological, Academic and Demographic Variables Affecting Students’ Academic Achievement Among First Year College Students in Saudi Arabia." Scholarly Commons, 2018. https://scholarlycommons.pacific.edu/uop_etds/3107.

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There are many factors that affect academic achievement among first year college students in Saudi Arabia. The aim of this study was to improve our understanding of academic achievement of first year college students in Saudi Arabia by investigating the relationship between a selection of demographic, academic, and psychological variables and their effects on first-year students’ GPA. All first-year students admitted to the King Saud University in fall 2016 or spring 2017 were invited to complete a self-report survey. 1457 students have completed and submitted the survey. Multiple regression a
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Harper, Brian Edward. "Understanding how black racial identity and demographic, psychological and performance variables intervene and relate to academic achievement." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1089654930.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Document formatted into pages; contains 164 p. Includes bibliographical references. Abstract available online via OhioLINK's ETD Center; full text release delayed at author's request until 2005 July 13.
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Brittan, Deborah. "A comparative study of predictors of academic achievement for agricultural college students, employing academic, demographic, and psychological variables." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0010/MQ30933.pdf.

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Orooji, Benjamin. "The Influence of Demographic and Personality Variables on Judgments about an Ambiguous Sexual Encounter between an Adult and Child." Honors in the Major Thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/787.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf<br>Bachelors<br>Arts and Sciences<br>Psychology
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David, Onyekachi P. "Ethnic and gender differences in the relationship between psychological, socio-cognitive and socio-demographic variables in people with diabetes mellitus in Nigeria." Thesis, University of Gloucestershire, 2017. http://eprints.glos.ac.uk/4678/.

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Background: Diabetes is a growing public health problem affecting people worldwide both in the developed and developing countries, and poses a major socio-economic, psychological and Behavioral challenge. Consequently, diabetes takes a staggering toll on the people in Nigeria and the economic burden is very high. It is a well known fact that numerous factors influence diabetes self-care: such as patient’s physical, psychological, social, cognitive and health care system factors. In this study, the researcher set out to elicit an understanding of the association between socio-demographic, socio
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Kose, Bahar. "Associations Of Psychological Well-being With Early Maladaptive Schemas And Self-construals." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610854/index.pdf.

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The present study aimed 1) to examine possible influences of demographic variables (i.e., age, gender, marital status, sibling number, mother&rsquo<br>s education, father&rsquo<br>s education) on the various measures of the study (i.e., schema domains, self-orientations, and well-being measures i.e. depression, positive affect, negative affect, and reassurance-seeking)<br>2) to examine the differences of schema domains on self-orientations of Balanced Integration Differentiation Model and also on well-being, and 3) to analyse the differences of four self-construals of Balanced Integration Diff
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Books on the topic "Demographic Variables in Psychological Variables"

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Adamson, J. A. An examination of the relationship between socio-demographic variables, community attitudes towards mental illness and attitudes toward seeking professional psychological help. The author], 2004.

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Sánchez, Hector R. Población y analfabetismo: Variables del subdesarrollo. Fundacíon Instituto Pedagógico de Matúrin, 1992.

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Cigno, Alessandro. Dynamic interactions between economic, ecological and demographic variables. University of Hull, 1985.

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Hodgins, Shawn G. Personality characteristics demographic variables and attitudes towards pornography. Laurentian University, Department of Psychology, 1986.

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Hodgins, Andrea Mary. Sexual attitudes, personality, and demographic variables of university students. Laurentian University, Department of Psychology, 1989.

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ed, Curbow Brabara, and Somerfield Mark R, eds. Psychosocial resource variables in cancer studies. Haworth Press Inc., 1995.

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Blake, Marcus. Selecting variables for small area classifications of 1991 UK census data. University of Leeds, School of Geography, 1995.

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Blake, Marcus. Selecting variables for small area classifications of 1991 UK census data. School of Geography, University of Leeds, 1995.

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Lomelí, Daniel González. El desempeño académico universitario: Variables psicológicas asociadas. Universidad de Sonara, 2002.

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Hoffmeyer-Zlotnik, Jürgen H. P., and Uwe Warner. Harmonising Demographic and Socio-Economic Variables for Cross-National Comparative Survey Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7238-0.

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Book chapters on the topic "Demographic Variables in Psychological Variables"

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Wanta, Wayne. "Effects of Demographic and Psychological Variables on Agenda Setting." In The Public and the National Agenda. Routledge, 2023. http://dx.doi.org/10.4324/9781003417903-3.

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Hadler, Markus, Beate Klösch, Stephan Schwarzinger, Markus Schweighart, Rebecca Wardana, and David Neil Bird. "The Multidimensionality of Consumption: Energy Lifestyles." In Surveying Climate-Relevant Behavior. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85796-7_6.

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AbstractThis chapter enhances the previous understanding of Energy Lifestyles by identifying groups with distinct patterns of energy behavior across six areas of life. In contrast to most previous studies, the identification of groups is exclusively conducted on the basis of behavior-related data, whereas the characterization of the groups follows in a second step using psychological and socio-demographic variables. This chapter explicitly considers the multidimensionality of behavior and provides a comprehensive overview of different Energy Lifestyles and their potential roles in energy trans
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Therasa, C., R. Gayathri, C. Vijayabanu, S. Karthikeyan, and V. Badrinath. "The incremental effect of demographic variables personality and positive psychological capital in predicting job satisfaction of bank employees." In Interdisciplinary Research in Technology and Management. CRC Press, 2023. http://dx.doi.org/10.1201/9781003358589-44.

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Muwonge, Charles Magoba, Annet Kembabazi, Gladys Nakalema, et al. "Psychological Well-Being Among Young People Living with HIV: Role of Social Support, Self-Esteem and Socio-Demographic Variables." In Cross-Cultural Advancements in Positive Psychology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85924-4_8.

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Constantinescu-Dobra, Anca, A. Sabou, and M. C. Coțiu. "The Influence of Socio-Demographic, Psychological and Medical Variables on Patient Satisfaction with Diabetes Care in the Hospital Setting in Romania." In 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6207-1_42.

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Patten, Mildred L., and Melisa C. Galvan. "Considering Demographic Variables." In Proposing Empirical Research. Routledge, 2019. http://dx.doi.org/10.4324/9780429463013-8.

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Sousa, Roger S., and Sophia Lóren de Holanda Sousa. "Criminal Personality Variables." In Encyclopedia of Evolutionary Psychological Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-16999-6_3205-1.

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Dunbar, Robin I. M. "Demographic Processes: (1) Lifehistory Variables." In Primate Social Systems. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6694-2_4.

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Smith, Laurajane. "Demographic variables and visitor responses." In Emotional Heritage. Routledge, 2020. http://dx.doi.org/10.4324/9781315713274-10.

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Kiecolt-Glaser, Janice. "Integrating Psychological and Immunological Variables." In How to Write a Successful Research Grant Application. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2393-9_16.

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Conference papers on the topic "Demographic Variables in Psychological Variables"

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Romero, Enrique, and Luz Rello. "Screening Dyslexia for English: Impact of Heterogeneity in Demographic Variables." In ESANN 2025. Ciaco - i6doc.com, 2025. https://doi.org/10.14428/esann/2025.es2025-108.

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Izquierdo, Andrea, Juan Luis Castejón, and Raquel Gilar-Corbí. "IMPACT OF SOCIO-EMOTIONAL VARIABLES ON THE PSYCHOLOGICAL WELL-BEING OF FUTURE TEACHERS." In 19th International Technology, Education and Development Conference. IATED, 2025. https://doi.org/10.21125/inted.2025.0598.

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Simiyu, Naomy, Santhosh Kumar, Marisennayya Senapathy, and Regina Babu. "Bridging the gap: Understanding demographic disparities in consumer credit adoption: The case for Buy Now Pay Later." In Employment, Education and Entrepreneurship 2024. Faculty of Business Economics and Entrepreneurship, 2024. https://doi.org/10.5937/eee24047s.

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Financial institutions like banks have a significant role in lending credit to their consumers based on the different criteria that must be considered before issuing the loan. This study investigates the influence of demographic variables on the usage and adoption of financial services. The primary objective of this study was to identify how age, gender, income, education, occupation, and credit score levels impact consumer behavior and their preferences in the "Buy Now and Pay Later" financial services. Using a quantitative approach, an online survey was conducted with 350 valid responses for
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Salimi, Nahal, Bryan Gere, and Sharo Shafaie. "POLICE OFFICERS' KNOWLEDGE OF, AND ATTITUDES TOWARDS, MENTAL ILLNESS AND THE MENTALLY ILL INDIVIDUALS." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact059.

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"Police officers are some of the first professionals that might have direct interaction with individuals with mental illnesses. Statistics show that from 2017 to 2020 about 3986 individuals in the United States were fatally shot by police officers (Statista, 2021). These reports indicate that at least 25% and as many as 50% of all fatal shootings involved individuals with untreated severe mental illness. The purpose of this pilot study was to test the effectiveness of a five-day psycho-educational mental health awareness training in enhancing law enforcement officers’ knowledge about mental il
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Proctor, Cecile J., Danie A. Beaulieu, Anthony J. Reiman, and Lisa A. Best. "LIVING WELL AFTER CANCER: THE IMPACT OF SOCIAL SUPPORT AND PRODUCTIVE LEISURE." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact029.

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"It is now recognized that the ""cancer experience"" extends beyond diagnosis, treatment, and end-of-life care. Relative to individuals who have not faced a cancer diagnosis, cancer survivors report increased mental health concerns and lowered physical and psychological well-being (Langeveld et al., 2004). Health-related quality of life encompasses overall physical (e.g., energy, fatigue, pain, etc.) and psychological functioning (e.g., emotional well-being, etc.), as well as general health perceptions (Hays &amp; Morales, 2001). Nayak and colleagues (2017) reported that 82.3% of cancer patien
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Kidwai, Zainab, and Nikita Prajapati. "PILOT STATISTICAL ANALYSIS OF EXERCISE ATTITUDES AND MENTAL HEALTH: A CORRELATIONAL STUDY." In Transforming Knowledge: A Multi-disciplinary Research on Integrative Learning Across Disciplines. BSSS Publication, 2025. https://doi.org/10.51767/ic250510.

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Attitudes to exercise also contribute importantly to outcomes of mental health, affecting the level of stress, anxiety, and overall psychological state. The present study aims to investigate attitudes towards exercise in relation to mental health and notes how positive attitudes lead to positive psychological states and how negative attitudes correlate with extreme levels of stress, anxiety, and depression. Analysis of data indicates that those who like exercise and find it helpful are more likely to engage in regular physical activity, which results in better mental health. Those with negativ
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Nişancı, Murat, Aslı Cansın Doker, Adem Türkmen, and Ömer Selçuk Emsen. "The Determinants of Labor Productivity: Analyses on Chosen Countries (1960-2010)." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01550.

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Discussions on economic productivity, in micro analysis aspects there is direct causal relationship between increases or decreases in the production and productivity, whereas it can be said that productivity is based on economic recession or growth in macro analysis aspects. In the literature, while Classical theoreticians is attributed that the source of growth is the marginal productivity of capital, neoclassic school claims that marginal productivity difference provide benefit the country from behind for realization of the convergence hypothesis. Furthermore, increasing efficiency and as th
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Grujic, Tamara, and Ljiljana Krneta. "ENGLISH LANGUAGE AS EDUCATION BARRIER IN USING INFORMATION TECHNOLOGY." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-136.

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Education barriers in communication based on information technology (IT) could be caused by differences in students’ previous knowledge, teaching communication quality and personality of teachers, quality of textbooks and foreign literature, students’ interest for specific curriculum content, demographic potential of educational institution, as well as a quality of family support for a student. Teaching communication can be studied in terms of pedagogical and psychological theory, and on the other side in terms of informational and communicational theory. New forms of education barriers, cause
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Đukić, Jovan, Dalibor Pešić, Boris Antić, and Srđan Rusov. "THE INFLUENCE OF SOCIO-DEMOGRAPHIC FACTORS ON THE ATTITUDES OF DRIVERS TOWARDS UNSAFE TRAFFIC BEHAVIOR." In Conference Road Safety in Local Community. Road Safety in Local Community, 2024. http://dx.doi.org/10.46793/rsaflc24.331dj.

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The driver's behavior is determined by competence, that the abilities and skills that the driver possesses as a person, as well as by the current psychological state. The most common unsafe behaviors of traffic users that lead to the creation of dangerous situations and traffic crashes are: non-compliance with speed limits and inappropriate speed, driving under the influence of alcohol and intoxicants, non-use of protective equipment, non-compliance with other regulations. Bearing that in mind, the aim of this research is to examine the general attitudes of drivers (driving under the influence
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Swiger, Kathleen D., Jocelyn A. Sendecki, Janine E. Guglielmino, et al. "Abstract P5-17-06: Emotional/psychological characteristics of women with triple-negative breast cancer: Do socioeconomic, demographic, and provider variables impact emotional change from diagnosis to post-treatment?" In Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 9-13, 2014; San Antonio, TX. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.sabcs14-p5-17-06.

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Reports on the topic "Demographic Variables in Psychological Variables"

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Greenberg, Mark. Evidence for Social and Emotional Learning in Schools. Learning Policy Institute, 2023. http://dx.doi.org/10.54300/928.269.

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There is a consensus among educators, parents, and policymakers that education should include a focus on supporting essential social and emotional capacities to help children navigate the world successfully. To develop these competencies, many schools adopt social and emotional learning programs. This report reviews the findings from 12 meta-analyses on school-based SEL programs. Across these studies, there is a consistent, reliable effect of tested, evidence-based SEL programs on students’ social, emotional, behavioral, and academic outcomes in PreK–12th grade, including the development of so
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Poindexter, Samuel E. Comparing Immunohistologic and Demographic Variables of Head and Neck Squamous Cell Carcinoma. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1012738.

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Turner, Nigel E., Nicolas Trajtenberg, Steve Cook, Olga Sanchez de Ribera, Jing Shi, and Henrietta Bowden-Jones. A health inequality examination of problem gambling, substance abuse, mental health, and poverty in the United Kingdom; A secondary analysis and stakeholder interviews. Greo Evidence Insights, 2023. https://doi.org/10.33684/2024.003.

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Purpose: This project is focused on the social determinants of health associated with problem gambling and examined gambling-related disparities and the determinants of negative health outcomes. Social determinants include social class education, ethnic group, age, and sex (Elton-Marshall, et al., 2017). The main aims of the study were as follows: Aim 1: In this study, we used the large data set to determine subpopulations who are experiencing social inequity (e.g., youth, older adults, women, Black people and other minority ethnic groups, and people with low income; see Elton-Marshall, et al.
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Orban, Levente. Standardization and Standard Error of the Mean in Psychological Statistics. Orban Foundation, 2025. https://doi.org/10.69642/2905.

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This lecture explores the concepts of standardization and the standard error of the mean (SEM) in psychological statistics. Standardization enables comparability across variables measured on different scales, while SEM quantifies the uncertainty of sample means in relation to the population mean. We derive these concepts mathematically and implement them using base R to reinforce statistical reasoning in psychological research.
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xu, Jiaquan, Shelly Murphy, Kenneth Kochanek, and Elizabeth Arias. Mortality in the United States, 2021. National Center for Health Statistics (U.S.), 2022. http://dx.doi.org/10.15620/cdc:122516.

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This report presents final 2021 U.S. mortality data on deaths and death rates by demographic and medical characteristics, providing information on mortality patterns in U.S. residents by multiple variables.
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Hu, Li-Yen R., Paul Scanlon, Kristen Miller, et al. National Center for Health Statistics’ 2019 Research and Development Survey, RANDS 3. National Center for Health Statistics (U.S.), 2023. http://dx.doi.org/10.15620/cdc:130273.

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This report provides a general description of RANDS 3 and presents percentage estimates of selected demographic and health-related variables from the overall sample and by one set of experimental groups in the survey.
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Pepe, Alessandro, and Eleonora Farina. Review of pscyhological effects of LONG-COVID19 Syndrome. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0092.

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Review question / Objective: The main goal of this systematic review was to describe the literature on persistent psychological symptoms of Covid19 in various cohorts and population examining the research outcomes along with critical variables related to long-covid19 syndromes. Condition being studied: Psychological consequences of long-covid19 syndrome in general as well as clinical populations. Information sources: Electronic database: Scopus and Web of Science.
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Hughes, John. A Demographic study based upon income, age and education variables as related to the willingness or unwillingness to accept foster children. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.656.

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Attanasio, Orazio P., and Giovanni L. Violante. The Demographic Transition in Closed and Open Economies: A Tale of Two Regions. Inter-American Development Bank, 2000. http://dx.doi.org/10.18235/0010772.

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This paper constructs a general equilibrium overlapping generation model to evaluate quantitatively how demographic transition (falling mortality and fertility rates) affects aggregate variables (wages, interest rate, output), and inter-generational welfare in closed and open economies. We perform this analysis for two economies calibrated to resemble the North (US and Europe) and Latin America. Our simulations suggest that the demographic transition could have generated income per capita growth up to 0.5% per year in excess of steady-state growth in the past 50 years in Latin America and 0.3%
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Mcbride, Emma E., and Jeffrey M. Greeson. RU Mindful: Mindfulness, Stress, and Cognitive Functioning in College Students. Rowan University Libraries, 2023. http://dx.doi.org/10.31986/issn.2689-0690_rdw.dat.2.

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This dataset is derived from an anonymous, cross-sectional, IRB-approved, online survey study of 534 college students. Collected in 2018-2019, the data include self-reported measures of dispositional (trait) mindfulness, perceived stress, cognitive functioning, and GPA, along with demographic variables. Results from these data were originally published by McBride &amp; Greeson (2021) in the journal Current Psychology.
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