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Notes on Creative Potential and Its Measurement

-Hall Century Psychology Series. Christensen, P. R., Guilford, J. P., &Wilson, R. C. (1957). Relations of creative responses to working time and instructions. Journal of Experimental Psychology, 53 , 82-88. Dziedziewicz, D. & Karwowski, M. (2015). Development of children’s creative visual imagination: A theoretical model, measurement instrument and enhancement programs. Education 3-13 ; DOI:10.1080/03004279.2015.1020646. Fink, A. & Benedek, M. (2012). EEG alpha power and creative ideation. Neuroscience & Biobehavioral Reviews, 44 , 111-123. Finke, R

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The development of a new method of idiographic measurement for dynamic assessment intervention

References Allport, G. W. (1937). Personality: A psychological interpretation. New York: Holt. Bandura A. (1971). Social learning theory. Stanford: General Learning Corporation. Barrett, P.T. (2003). Beyond psychometrics: measurement, non-quantitative structure, and applied numerics. Journal of Managerial Psychology, 18(3), 421-439. Binet, A., & Simon, T. (1905). Application des methods nouvelles au diagnostic du niveau Intellectual des anormaux d’hospice et d’école primaire. [Application of new

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Overweight between perception and reality


Introduction. Obesity is a disorder characterized by an amount of body fat over the normal limits. This could be reduced when there are no metabolic disorders with good alimentation and increasing the level of physical activity. In prevention of childhood obesity beside the institution on the field that has the obligation to promote a healthy lifestyle, parents have the main role. They are responsible for the food that their children get and also for their teaching for a healthy lifestyle. However, many times, the parents’ attitude beside the obesity is inappropriate for various reasons. One of them is the fact that parents don’t perceive correctly their children body weight.

The aim of this study is to assess the way a group of parents who have children enrolled to sports activity perceive their children body weight. We also wanted to check the way in which these perceptions are associated with possible attempts to lose weight.

Participants and methods: In this study we evaluated 62 girls (average age: 10.29±1.32 years), these being enrolled to a private volleyball club from Timisoara. Testing protocol consisted in height measurement, evaluation of body composition and completing of a questionnaire by parents.

Results. In the current research, there exist a few significant differences between the body mass index that was considered the base on which the children were put into different weight categories and the parent’s perception on the body weight of their own children; 38.7 % of the total of the children that were measured were overweight or obese and only 8.04 % were involved in a program that helps weight loss.

Conclusion. The vast majority of questioned parents underestimated the real body weight of their children, choosing an inferior weight category, inferior to the real one. These perception errors of the parents affect the level of concern regarding the body weight of the children and, thus, the optimal attitude concerning it.

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Effects of physical activity on the quality of life among adult women


Aim: the purpose of our study was to analyze the effect of a physical activity program on the quality of life of adult women. Methods: The study involved 95 adult women from Oradea, practitioners of physical exercises in a fitness center. Period of the study: February 2015 - June 2016. Anthropometric measurements were made (height, weight) and it was calculated the body mass index (BMI). The SF-36 short form questionnaire was used to assess the quality of life. The physical activity program consisted of Step - aerobics, Pilates and strength training in the gym, 3 times a week for 60-90 minutes, for 12 months.

Results: BMI revealed that of the 95 women enrolled in the initial evaluation 71% were normal weight, 16% were overweight, 8% underweight, 4% obese class I and 1% obese class II. At the final assessment 74% were normal weight, 13% were overweight, 9% underweight, 4% obese class I and no one had class II obesity. The analysis of the answers to the questionnaire revealed the following: the initial average quality of life score was 85.01 and the final score was 89.40; the initial average score of the physical health component was 87.54 and the final score was 92.10; the initial average score of the mental health component was 82.48 and the final score was 86.69.

Conclusion: Applying the physical activity program for 12 months led to an improvement in the quality of life, so we can conclude that practicing physical exercise on a regular basis has the effect of increasing the quality of life.

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Contributions regarding combating obesity in middle school students (girls) from rural areas through motor activities

-based physical activity interventions for weight loss: A randomized trial, Medicine and Science in Sports and Exercise , 47(5), 1061-1069. 8. Khan L.K., Sobush K., Keener D., Goodman K., Lowry A., Kakietek J. et al. (2009). Recommended community strategies and measurements to prevent obesity in the United States, MMWR Recomm Rep , 58(RR-7), 1–26. 9. (accesed at 15.09.2017). 10.

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Improving the quality of life through participation in physical activity- the tennis camp pilot study

References 1. Baciu A. M. (2006). Sportul și calitatea vieții: Caz special -tenisul de câmp . Cluj-Napoca: Editura Napoca Star. 2. Carley M. (1981). Social measurement and social indicators . London: George Allen and Unwin. 3. Coșoveanu C. S. (2011). Universitatea de Medicină și Farmacie din Craiova . Retrieved 10 4, 2015, from,%20aspecte%20etiopatogenice,%20clinice%20si%20profilactice.pdf 4. Dumazeider J. (1950). Regards neufs sur le sport, moyen de culture . Paris: Le

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Students’ job-related physical condition. How fit are they ?

Reference 1. accessed at july, 2015. 2. National Heart, Lung, and Blood Institute (1998). Clinical guidelines on indetification, evaluation, and treatment of overweight and obesity in adults: The evidence report. Bethesda , MD: National Institutes of Healts, USA. 3. Morrow J.R., Jackson A.W, Disch J.G., Mood D.P. (2005). Measurement and evaluation in human performance , third edition, Human Kinetics, IL, USA. 4. Blair S., Kohl H., Paffenbarger R., Clark D., Cooper K., Gibbons L. (1989

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Trunk asymmetry at children aged 10-15 years: relation between amount of asymmetry and risk factors.

idiopathic scoliosis pathogenesis. Scoliosis, 14 (2), 11. 7. Patias P., Grivas T. B., Kaspiris A., Aggouris C., Drakoutos E. (2012). A review of the trunk surface metrics used as Scoliosis and other deformities evaluation indices. Scoliosis, 5 (12). 8. Montgomery F., Persson U., Benoni G., Willner S., Lindgren B. (1990). Screening for scoliosis. A cost-effectiveness analysis. Spine, 15 (2), 67-70. 9. Tyrakowski M., Czaprowski D., Szczodry M., Siemionow K. (2016). Cobb angle measurements on digital radiographs using Bunnell scoliometer: Validation of

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Quality of Higher Education and Structure of ICT Competence of Teachers in Ukrainian High Schools

contemporary approaches to its measurement. [online]. In Ukrainian. Available from: 16. VEMEBR, V. and G. YELNIKOVA, N. MORZE, O. KUZMYNSKA, A. OVCHARUK, L. PETUKHOV, E. HVILONA. Using EPRINTS for information and communication support research activities. National Academy of Pedagogical Sciences of Ukraine Institute of Information technology and training. 2014. 100. In Ukrainian. 17. ZAHORODNY, A. European Quality Assurance System of Higher Education. In Ukrainian. High School. 2006

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Methodological Issues in Measuring Creativity: A Systematic Literature Review

-specific perspectives. Thinking Skills and Creativity, 7, 209-223. doi: 10.1016/j.tsc.2012.04.006 *Batey, M. (2012). The measurement of creativity: From definitional consensus to the introduction of a new heuristic framework. Creativity Research Journal, 24, 55-65. doi: 10.1080/10400419.2012.649181 Batey, M., Chamorro-Premuzic, T., & Furnham, A. (2010). Individual differences in ideational behavior: Can the big five and psychometric intelligence predict creativity scores? Creativity Research Journal, 22, 90-97. doi: 10

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