Inhaltsverzeichnis
Auswahl der wissenschaftlichen Literatur zum Thema „PERSONAL PREDICTORS“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "PERSONAL PREDICTORS" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "PERSONAL PREDICTORS"
Кazanzhy, M. Y. „PERSONAL PREDICTORS OF FACILITATION-INHIBITION“. Theory and practice of modern psychology 3, Nr. 1 (2020): 36–40. http://dx.doi.org/10.32840/2663-6026.2020.1-1.7.
Der volle Inhalt der QuelleKönig, Cornelius J., Lourdes Oberacher und Martin Kleinmann. „Personal and Situational Determinants of Multitasking at Work“. Journal of Personnel Psychology 9, Nr. 2 (Januar 2010): 99–103. http://dx.doi.org/10.1027/1866-5888/a000008.
Der volle Inhalt der QuelleShaheen, Faiza, und Nasir Mahmood. „Burnout and its Predictors: Testing a Model Among Public School Teachers“. 2020, VOL. 35, NO. 2 35, Nr. 2 (07.07.2020): 355–72. http://dx.doi.org/10.33824/pjpr.2020.35.2.19.
Der volle Inhalt der QuelleKim, Sujin, und Erin Abner. „Predictors affecting personal health information management skills“. Informatics for Health and Social Care 41, Nr. 3 (13.08.2015): 211–29. http://dx.doi.org/10.3109/17538157.2015.1008490.
Der volle Inhalt der QuelleOkpara, John O. „Personal characteristics as predictors of job satisfaction“. Information Technology & People 17, Nr. 3 (September 2004): 327–38. http://dx.doi.org/10.1108/09593840410554247.
Der volle Inhalt der QuelleBacanli, Feride. „Personality Characteristics as Predictors of Personal Indecisiveness“. Journal of Career Development 32, Nr. 4 (Juni 2006): 320–32. http://dx.doi.org/10.1177/0894845305282941.
Der volle Inhalt der QuelleToyama, M., H. Fuller und J. Hektner. „LONGITUDINAL PSYCHOSOCIAL PREDICTORS FOR PERSONAL GROWTH THROUGHOUT ADULTHOOD“. Innovation in Aging 2, suppl_1 (01.11.2018): 484. http://dx.doi.org/10.1093/geroni/igy023.1807.
Der volle Inhalt der QuelleWang, Shanshan, Yanhui Liu und Linlin Wang. „Nurse burnout: Personal and environmental factors as predictors“. International Journal of Nursing Practice 21, Nr. 1 (15.11.2013): 78–86. http://dx.doi.org/10.1111/ijn.12216.
Der volle Inhalt der QuelleRobles-Haydar, Claudia A., Marina B. Martínez-González, Yuliana A. Flórez-Niño, Luz M. Ibáñez-Navarro und José J. Amar-Amar. „Personal and Environmental Predictors of Aggression in Adolescence“. Brain Sciences 11, Nr. 7 (15.07.2021): 933. http://dx.doi.org/10.3390/brainsci11070933.
Der volle Inhalt der QuelleLee, Ji-Young, und Sung-Man Bae. „Intra-personal and extra-personal predictors of suicide attempts of South Korean adolescents“. School Psychology International 36, Nr. 4 (05.07.2015): 428–44. http://dx.doi.org/10.1177/0143034315592755.
Der volle Inhalt der QuelleDissertationen zum Thema "PERSONAL PREDICTORS"
Van, Tonder Ronel. „Non-remuneration predictors of intention to quit among personal financial advisors“. Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/17911.
Der volle Inhalt der QuelleENGLISH ABSTRACT: In insurance sales organisations, the Personal Financial Advisors (PFAs) serve a pivotal function in the relationship between the organisation, product and customer. The organisation invests a great deal of time and money in recruiting, training and retaining good PFAs. However, turnover amongst these employees seem to remain high within the first 36 months of employment. The aim of this study was to explore the non-remuneration predictors of burnout and intention to quit amongst PFAs in order to shed some light on the turnover problem. Specific constructs were identified in a pilot study which would not necessarily have been explored by the organisation and may have gone unacknowledged or overlooked. These constructs are emotional labour, self-efficacy, time wasted on non-sales activities, supervisor support and their relationship with burnout and intention to quit. A convenience sample of 608 PFAs was approached from one insurance sales organisation. One hundred and twenty two (122) respondents completed and returned their questionnaires. The descriptive statistics of the sample reflected a mean age of 35 years (range 21 to 61 years), with 66% males and 34% females, and a race distribution of 64% White, 19% African, 10% Coloured and 7% Indian. The majority of the population had been working for 13 to 24 months (46%). Overall, the sample produced a satisfactory to good representation of the demographic statistics of the total population available to the researcher. Both quantitative and qualitative research techniques were utilised in this study. Analysis of the qualitative data supported the role of the theoretical constructs chosen for inclusion and additional sources of job stress were identified. Pearson productmoment correlation analysis was used to analyse the questionnaire data, followed by multiple regression analyses with work burnout, client burnout and intention to quit as dependent variables, and the remaining constructs as the predictors. Both a measurement and structural model was tested; both produced acceptable goodness-of-fit statistics. From all of the above-mentioned analyses, significant relationships were found to exist between time wasted on non-sales activities, burnout, and self-efficacy; self-efficacy, burnout and intention to quit, and burnout and intention to quit. Conclusions were drawn from the obtained results and recommendations are made with respect to future research, as well as with respect to the management of burnout and intention to quit in the sales environment.
AFRIKAANSE OPSOMMING: In versekeringsmaatskappye speel die Persoonlike Finansiële Adviseur (PFA) ‘n baie belangrike rol in die verhouding tussen die organisasie, die produk en die kliënt. Die organisasie belê heelwat hulpbronne in die vorm van tyd en geld om goeie PFAs te werf, op te lei en te behou. Ten spyte hiervan is daar steeds ‘n groot hoeveelheid PFAs wat die organisasie verlaat binne die eerste 36 maande van aanstelling. Die huidige studie se doelwit was om die nie-vergoedingsvoorspellers van uitbranding onder PFAs, asook hulle intensies om te bedank, te bestudeer, om sodoende lig te werp op die hoë omset onder PFAs. Spesifieke konstrukte wat nie noodwendig deur die organisasie bestudeer sou word nie, is geïdentifiseer in ‘n loodsstudie. Hierdie konstrukte is emosionele arbeid, selfbekwaamheid, tyd verloor op nieverkoopsaktiwiteite, en ondersteuning deur die lynbestuurder. Hierdie konstrukte se verwantskap met uitbranding en intensies om die organisasie te verlaat, is bestudeer in die huidige studie. ‘n Gerieflikheidsteekproef van 608 PFAs vanuit een versekeringsmaatskappy is genader vir deelname aan die huidige studie. Een honderd twee-en-twintig (122) respondente het hul vraelyste voltooi en ingedien. Die beskrywende statistiek van die steekproef het ‘n gemiddelde ouderdom van 35 jaar getoon (verspreidingswydte 21 tot 61 jaar), met 66% manlik en 34% vroulik, en ‘n rasseverspreiding van 64% blank, 19% swart, 10% kleurling en 7% Indiër respondente. Oor die algemeen was die beskrywende statistiek ‘n aanvaarbare tot goeie verteenwoordiging van die totale populasie. Beide kwantitatiewe asook kwalitatiewe navorsingsmetodes is gebruik in hierdie studie. ‘n Analise van die kwalitatiewe data het die rol van die konstrukte wat vir insluiting gekies is, bevestig, en addisionele bronne van werkstres is geïdentifiseer. Die Pearson korrelasie-analises is gebruik om die vraelysdata te analiseer, gevolg deur stapsgewyse meervoudige regressie-ontledings met werksuitbranding, kliëntuitbranding en intensie om te bedank as afhanklike veranderlikes, en die oorblywende konstrukte as voorspellers. Beide die metingsmodel en die strukturele model is getoets, albei het aanvaarbare pasgehalte van die model opgelewer. Uit al die bogenoemde analises is beduidende verbande tussen die veranderlikes tyd verloor op nie-verkoopsaktiwiteite, uitbranding, en intensie om te bedank; selfbekwaamheid, uitbranding en intensie om te bedank; asook uibranding en intensie om te bedank gevind. Gevolgtrekkings is gemaak vanuit die bevindinge en voorstelle is gemaak met die oog op verdere navorsing, sowel as met betrekking tot die bestuur van uitbranding en intensie om te bedank in die verkoopsomgewing.
Brown, Rachel R. „Predictors of Met and Unmet Marital Timing Desires“. The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429175985.
Der volle Inhalt der QuelleGuidubaldi, John Michael. „Ecological and Personal Predictors of Science Achievement in an Urban Center“. Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1227381213.
Der volle Inhalt der QuelleBolgar, Melinda R. „Contextual and personal predictors of coping with anger in junior tennis players“. [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011840.
Der volle Inhalt der QuelleKayyali, Yousef John. „Therapist Personal and Professional Experience as Predictors of Gestalt Therapy Contact Resistances“. Thesis, Adler School of Professional Psychology, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10936230.
Der volle Inhalt der QuelleGestalt therapy postulates psychological illness and health are interwoven with how a person gets in touch or interrupts contact with self, others, the environment, and the spiritual field (Brownell, 2018; Corey, 2005; Perls, 1969, 1973, 1942/1993; Perls, Hefferline, & Goodman, 1951/1994; Perls, 1976; Polster & Polster, 1973; Prosnick & Woldt, 2014; Yontef, 1993, 1999). Preliminary research found support for psychological wellness and disturbance relative to Gestalt therapy contact styles between human organism and environment (Byrnes, 1975). The purpose of this study was to investigate four predictor variables of therapist age, professional experience, theoretical orientation, and preferred theoretical orientation as a client vis-à-vis seven criterion variables of Gestalt therapy contact resistances —or interruptions to contact. Essentially, this study hypothesized therapists with more experience (i.e., age, and professional practice) and Gestalt therapy exposure (i.e., practicing, and receiving Gestalt therapy as a client) would obtain lower scores on the seven Gestalt contact resistances: Confluence, Desensitization, Introjection, Projection, Retroflection, Deflection, and Egotism—as gauged by the Gestalt Inventory of Resistance Loadings (GIRL; Woldt & Prosnick, 2014a). Archival datasets comprising 291 mental health trainees, professionals, and affiliates were utilized. Age and Gestalt therapy theoretical orientation were most supported suggesting Gestalt therapy coupled with aging process attenuate Gestalt contact resistances. Professional experience and Gestalt therapy preference as a client produced partial support indicating these two variables also aid in the diminution of Gestalt contact resistances. In sum, 13 out of 28 hypotheses (i.e., 46%; four more neared significance) were statistically significant cementing credence for the utility of Gestalt therapy modi in helping both psychotherapists and clients alike transcend obstacles precluding growth, maturation, actualization, organismic self-regulation, authenticity, and wholeness .
Hagerstrom, Glenn E. „Personal Factors, Perceptions, Influences and Their Relationship with Adherence Behaviors in Patients with Diabetes“. Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/nursing_diss/16.
Der volle Inhalt der QuelleGoodwin, Robin B. „Striking the perfect match : preferences for a partner as predictors of relationship initiation and quality“. Thesis, University of Kent, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328641.
Der volle Inhalt der QuelleMitchell, Timothy. „Towards the identification of modifiable personal predictors of low back pain in nursing students“. Curtin University of Technology, School of Physiotherapy, 2008. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=128414.
Der volle Inhalt der QuelleThe majority of LBP prevention strategies are directed at occupational risk factors in working nurses. However, as there is some evidence that LBP is already a significant problem in nurses prior to commencing full time employment, it is proposed that nursing students should be the focus of prevention interventions. This would require prevention interventions targeting personal rather than occupational LBP risk factors. As the best personal predictor of future LBP is currently a previous history of LBP, further investigation of modifiable personal LBP risk factors is required. Consequently, the aim of this doctoral research was to identify modifiable personal characteristics that predict LBP in nursing students.
Firstly, a large survey was conducted on undergraduate nursing students and recently graduated nurses to determine patterns of LBP prevalence. Results from this study indicated that LBP prevalence was very high at the commencement of undergraduate training. Prevalence of LBP did not significantly change during nursing training, but did increase further in the first year of commencing work as a nurse. This increase may be partly explained by the reported increase in occupational exposure to bending and lifting. Age was consistent across the undergraduate year groups and did not influence these findings. It was concluded that nursing students would provide a sufficient number of new-onset LBP episodes (and thus sufficient statistical power) for a prospective study design. Further, as these nursing students were not yet exposed to the occupational LBP risk factors of working nurses, a clearer indication of the influence of modifiable personal factors on the development of LBP could be determined by examining a student cohort.
A cross-sectional study investigating the influence of personal physical, psychological and social/lifestyle factors was then conducted on nursing students. Preliminary analysis revealed clear gender differences across multiple domains. Therefore, the focus of further analysis was on the larger female sample.
In Part 1 of the cross-sectional study, an investigation of regional differences in lumbar spine posture and movement was undertaken. Analysis of spinal kinematics in this study supported and extended previous literature that has found global lumbar spine kinematics do not accurately reflect the kinematics of the upper lumbar or lower lumbar spinal regions in common postures and movements. Rather, these two regions have a degree of functional independence. This finding has implications for interpretation of measures of spinal posture, motion and loading. Further, body mass index influenced regional lumbar posture and movement, possibly representing adaptation due to load. It was concluded that regional rather than global lumbar spine measures needed to be investigated in further analyses of this doctoral research.
In Part 2 of the cross-sectional study, personal characteristics associated with LBP were investigated. Approximately one third of all subjects reported significant LBP in the 12-months preceding the study. Analysis of factors associated with LBP supported the biopsychosocial nature of LBP. Higher stress levels and use of passive coping strategies, increased physical activity levels, holding the lower lumbar spine further from end-range flexion during functional tasks and increased age, all contributed independently to the presence of LBP. These findings supported the hypothesis that modifiable personal characteristics were associated with LBP.
The importance of identifying sub-groups of LBP patients has become widely accepted. In Part 3, further exploratory analysis was conducted on this crosssectional data to determine if differences in physical and psychological characteristics were evident in two defined sub-groups of female nursing students with LBP. These sub-groups were based on O’Sullivan’s mechanism based classification system. Results indicated that two sub-groups of LBP subjects had differing physical and psychological characteristics associated with their LBP. Further, control subjects could be distinguished from each of these two sub-groups by different factors. These findings add validity to O’Sullivan’s LBP classification system. Further, the findings may suggest that different combinations of psychological and physical factors are linked to LBP in different sub-groups in this population, and therefore may require different intervention approaches based on these factors.
In the final stage of this doctoral research, the cohort of female nursing students was followed prospectively for 12-months. The focus of further analysis was on identifying modifiable personal predictors in a sub-group of subjects with new-onset LBP. The results of this study strongly supported that personal factors from multiple domains are predictors of new-onset LBP. After controlling for previous LBP, age and body weight, regression analysis identified that smoking, increased physical activity levels (both exercise and spinal loading), higher stress levels, reduced back muscle endurance, greater posterior pelvic tilt in slump sitting and more accurate spinal repositioning in sitting were all independent predictors of new-onset LBP. These findings have implications for the development of prevention and management interventions for LBP in nurses.
Results from this doctoral investigation support the multi-factorial and biopsychosocial nature of LBP. The important distinction of this research when compared to previous work is the selection of a cohort at the beginning of their working life, with a focus on modifiable personal, rather than occupational factors, associated with LBP. Factors from physical, psychological and social/lifestyle domains were all independently associated with significant new-onset LBP in female nursing students. Interventions utilising a prevention approach that targets modifiable characteristics, such as those identified in this cohort of nursing students, may have the potential to reduce the impact of occupational LBP in this group. These preliminary findings have important implications for future LBP research and clinical interventions.
Caudill, Helene L. (Helene Litowsky). „An Empirical Investigation of Personality and Situational Predictors of Job Burnout“. Thesis, University of North Texas, 1996. https://digital.library.unt.edu/ark:/67531/metadc278937/.
Der volle Inhalt der QuelleRank, Johannes. „Leadership predictors of proactive organizational behavior : facilitating personal initiative, voice behavior, and exceptional service performance“. [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001444.
Der volle Inhalt der QuelleBücher zum Thema "PERSONAL PREDICTORS"
Margitics, Ferenc. Personal strivings as a predictor of emotional intelligence. Hauppauge, N.Y: Nova Science Publisher, 2009.
Den vollen Inhalt der Quelle findenMargitics, Ferenc. Personal strivings as a predictor of emotional intelligence. New York: Nova Science Publishers, 2010.
Den vollen Inhalt der Quelle findenMargitics, Ferenc. Personal strivings as a predictor of emotional intelligence. Hauppauge, N.Y: Nova Science Publisher, 2009.
Den vollen Inhalt der Quelle findenDuffy, Colman. Variation in sporting self-construal; personal construct theory and the accuracy of predictions. [s.l: The Author], 1995.
Den vollen Inhalt der Quelle findenHalkjelsvik, Torleif. Time Predictions: Understanding and Avoiding Unrealism in Project Planning and Everyday Life. Cham: Springer Nature, 2018.
Den vollen Inhalt der Quelle findenStevenson, Joanne Sabol. Determining the discriminatory value of selected personal variables as predictors of specialty choice in nursing. 1987.
Den vollen Inhalt der Quelle findenBrendel, Douglas D. The Scottsdale Prophecies: Seven Predictions for Your Personal Future. iUniverse, 2003.
Den vollen Inhalt der Quelle findenWhittal, Maureen L., und Melisa Robichaud. Cognitive Treatment for OCD. Herausgegeben von Gail Steketee. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195376210.013.0076.
Der volle Inhalt der QuelleCherkasova, Mariya V., Gabrielle Weiss und Lily Hechtman. Adolescent and Adult Outcomes of Childhood Attention Deficit Hyperactivity Disorder. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190213589.003.0002.
Der volle Inhalt der QuelleHaq, Khadija, Hrsg. Personal Reflections on the World of the 1990s. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199474684.003.0015.
Der volle Inhalt der QuelleBuchteile zum Thema "PERSONAL PREDICTORS"
Franc, Renata, Zvjezdana Prizmic-Larsen und Ljiljana Kaliterna Lipovčan. „Personal Security and Fear of Crime as Predictors of Subjective Well-Being“. In Subjective Well-Being and Security, 45–67. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2278-1_4.
Der volle Inhalt der QuelleSamerski, Silja. „How Personal Is the Genome? The Shadow of Genetic Predictions“. In De-Sequencing, 165–69. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7728-4_12.
Der volle Inhalt der QuelleDirkzwager, Arie. „A Computer Environment to Develop Valid and Realistic Predictions and Self-Assesment of Knowledge with Personal Probabilities“. In Item Banking: Interactive Testing and Self-Assessment, 146–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-58033-8_13.
Der volle Inhalt der QuelleBauer, Jack. „Growth Themes in Personal Narratives“. In The Transformative Self, 159–92. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780199970742.003.0006.
Der volle Inhalt der QuelleChylova, Martina, Jana Nezkusilova und Monika Seilerova. „WORK-RELATED STRESS, PERSONAL RESOURCES AND MENTAL HEALTH IN HIGH-RISK PROFESSIONS“. In Advances in Psychology and Psychological Trends, 183–93. inScience Press, 2020. http://dx.doi.org/10.36315/2021pad17.
Der volle Inhalt der QuelleKoçak, Ömer Erdem. „Thriving at Work as a Psychological Mechanism to Enhance Employee Capability of Innovative Voice“. In Advances in Business Strategy and Competitive Advantage, 371–91. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7180-3.ch021.
Der volle Inhalt der QuelleGao, Jennifer H. „The Effects of Organizational Socialization and Leadership Behavior on Burnout“. In Technological Solutions for Sustainable Business Practice in Asia, 224–45. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8462-1.ch011.
Der volle Inhalt der QuelleRoccas, Sonia, Yechiel Klar und Ido Liviatan. „Exonerating Cognitions, Group Identification, and Personal Values as Predictors of Collective Guilt among Jewish-Israelis“. In Collective Guilt, 130–47. Cambridge University Press, 2004. http://dx.doi.org/10.1017/cbo9781139106931.010.
Der volle Inhalt der QuelleLorber, Mateja, Sonja Treven und Damijan Mumel. „Factors Affecting Employees' Job Satisfaction and Psychological Health“. In Recent Advances in the Roles of Cultural and Personal Values in Organizational Behavior, 213–39. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1013-1.ch011.
Der volle Inhalt der QuelleKeeney, Hunter, Kaye Shelton, Diane Mason und J. Kenneth Young. „DELES Analysis of E-Learning Environments“. In Handbook of Research on Building, Growing, and Sustaining Quality E-Learning Programs, 128–50. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0877-9.ch007.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "PERSONAL PREDICTORS"
Yanitskiy, M., und A. Seryy. „VALUE PREDICTORS OF PERSONAL PSYCHOLOGICAL HEALTH“. In PSYCHOLOGICAL HEALTH OF THE PERSON: LIFE RESOURCE AND LIFE POTENTIAL. Verso, 2017. http://dx.doi.org/10.20333/2541-9315-2017-104-114.
Der volle Inhalt der QuelleZotova, O. Yu. „Personal Predictors Of Procrastination And Personality Psychological Security“. In ECCE 2018 VII International Conference Early Childhood Care and Education. Cognitive-Crcs, 2018. http://dx.doi.org/10.15405/epsbs.2018.07.35.
Der volle Inhalt der QuelleBallou, Deborah J., und Brian R. Huguenard. „Personal and situational predictors of IS professionals' career choice satisfaction“. In the 2008 ACM SIGMIS CPR conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1355238.1355250.
Der volle Inhalt der QuelleKruglova, Marina, Elena Stolyarchuk und Irina Panteenko. „Ergonomic predictors of chronic fatigue syndrome in teachers“. In Personal resourse of human agency at work in changing Russia. ScientificWorld, 2018. http://dx.doi.org/10.30888/978-5-6041451-4-2.1.16.
Der volle Inhalt der QuelleNemet, Maja Brust, und Tena Velki. „SOME DEMOGRAPHIC, PERSONAL AND CLASS CHARACTERISTICS AS PREDICTORS OF SCHOOL CLIMATE“. In International Conference on Education and New Developments. inScience Press, 2019. http://dx.doi.org/10.36315/2019v1end004.
Der volle Inhalt der QuelleDabic, Marina, Vojko Potocan, Jurica Pavicic und Zlatko Nedelko. „Personal values as predictors of managers’ innovativeness – From theory to practice“. In 2019 IEEE Technology & Engineering Management Conference (TEMSCON). IEEE, 2019. http://dx.doi.org/10.1109/temscon.2019.8813725.
Der volle Inhalt der QuelleMakarevskaya, Irina, und Lyudmila Kravchenko. „Personal determinants of emotional states of somatic patients“. In Safety psychology and psychological safety: problems of interaction between theorists and practitioners. «Publishing company «World of science», LLC, 2020. http://dx.doi.org/10.15862/53mnnpk20-23.
Der volle Inhalt der QuelleKarapetyan, Larisa. „SOCIO-DEMOGRAPHIC PREDICTORS OF EMOTIONAL AND PERSONAL WELL-BEING OF YOUNG PEOPLE“. In 11th annual International Conference of Education, Research and Innovation. IATED, 2018. http://dx.doi.org/10.21125/iceri.2018.1046.
Der volle Inhalt der QuelleKuznetsova, Alla, und Mariia Titova. „Human functional state self-regulation means as predictors of professional success“. In Personal resourse of human agency at work in changing Russia. ScientificWorld, 2018. http://dx.doi.org/10.30888/978-5-6041451-4-2.1.17.
Der volle Inhalt der QuelleBondarenko, Irina, Igor Tsyganov und Varvara Morosanova. „Non-cognitive predictors of 9-11 grades students’ academic achievement: structural models“. In Personal resourse of human agency at work in changing Russia. ScientificWorld, 2018. http://dx.doi.org/10.30888/978-5-6041451-4-2.1.8.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "PERSONAL PREDICTORS"
Atwater, Leanne, und Francis J. Yammarino. Personal Attributes as Predictors of Military Leadership: A Study of Midshipmen Leaders at USNA. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada210620.
Der volle Inhalt der QuelleHaubrich, Julia, Sarah Benz, Ullrich Isermann, Beat Schäffer, Rainer Schmid, Dirk Schreckenberg, Jean Marc Wunderli und Rainer Guski. Leq+X - Lärmexposition, Ereignishäufigkeiten und Belästigung: Re-Analyse von Daten zur Belästigung und Schlafstörung durch Fluglärm an deutschen und Schweizer Flughäfen. Universitätsbibliothek der Ruhr-Universität Bochum, 2020. http://dx.doi.org/10.46586/rub.164.139.
Der volle Inhalt der QuellePaul, Satashree. The Criminal Behavior of Genes. Science Repository OÜ, November 2020. http://dx.doi.org/10.31487/sr.blog.14.
Der volle Inhalt der QuelleSyvash, Kateryna. AUDIENCE FEEDBACK AS AN ELEMENT OF PARASOCIAL COMMUNICATION WITH SCREEN MEDIA-PERSONS. Ivan Franko National University of Lviv, Februar 2021. http://dx.doi.org/10.30970/vjo.2021.49.11062.
Der volle Inhalt der QuelleStall, Nathan M., Kevin A. Brown, Antonina Maltsev, Aaron Jones, Andrew P. Costa, Vanessa Allen, Adalsteinn D. Brown et al. COVID-19 and Ontario’s Long-Term Care Homes. Ontario COVID-19 Science Advisory Table, Januar 2021. http://dx.doi.org/10.47326/ocsat.2021.02.07.1.0.
Der volle Inhalt der Quelle