CIEĽ: Cieľom štúdie bolo preskúmať vzťah medzi osobnostnými faktormi vyššieho radu plasticitou (extroverzia, otvorenosť voči skúsenosti), stabilitou (emocionálna stabilita/neuroticizmus, prívetivosť, svedomitosť) a problematickým používaním internetu (PlU) s prihliadnutím na úlohu autonómie v tomto vzťahu. METÓDY: Autonomy (škála na meranie autonómie). Ten Item Personality Inventory (Desaťpoložkový osobnostný dotazník), GPlU2-Generalized Problematic Internet Use Scale 2 (Škála na meranie problematického používania internetu). VÝSKUMNÁ VZORKA: Vzorka pozostávala z 1525 študentov prvých ročníkov univerzít troch krajín: Slovenska (N=587; 73 % žien; 19,6 priemerný vek; 38,5 % vzorky), Litvy (N=555; 71 % žien; 20,0 priemerný vek; 36,4 % vzorky) a Maďarska (N=383; 76 % žien; 21,4 priemerný vek; 25,1 % vzorky). Výskum je súčasťou štúdie SĽiCE (Študent life cohort in Európe). VÝSLEDKY: Modelmi lineárnej regresie bol zistený podiel všetkých skúmaných prediktorov na vysvetlení PlU pri kontrole rodu a krajiny. Bol potvrdený negatívny vzťah medzi plasticitou a PIU, medzi stabilitou a PIU ako aj autonómiou a PIU a Sobelov test preukázal, že autonómia bola mediátorom vzťahu plasticita a PIU a stabilita a PIU. ZAVER: Upozornením na významnú protektívnu úlohu autonómie vo vzťahu k PIU ako aj na jej mediačnú funkciu vo vzťahu osobnostných faktorov vyššieho radu a PIU umožŕiujeme implementáciu týchto poznatkov v prevenčných a intervenčných programoch pre vysokoškolákov.
AIM: The aim of this study was to explore the relationship between the higher-order personality factors Plasticity (Extraversion, Openness to Experience) and Stability (Emotional stability I Neuroticism, Agreeableness, Conscientiousness) and Problematic Internet Use (PIU) with respect to the role of autonomy in this relationship. METHODS: Autonomy (A scale for measuring autonomy), Ten-Item Personality Inventory, GPIU2 (Generalized Problematic Internet Use Scale 2). SAMPLE: The sample consisted of 1525 first-year university students from three countries: the Slovak Republie (38.5%, N=814, 73% of them females, mean age 19.6), Lithuania (36.4%, N=936, 71% of them females, mean age 20.0), and Hungary (25.1%, N=940, 16% of them females, mean age 21.4). This research is part of SLICE (a European cohort study looking into university students' behaviour and perspectives on life). RESULTS: Models of linear regression showed that all the predictors under scrutiny explained the variance in PIU after controlling for gender and country. The analysis showed a negative relationship between Plasticity and PIU, between Stability and PIU, and between autonomy and PIU. Furthermore, the Sobel test showed that autonomy was a mediator of the relationship between Plasticity and PIU and between Stability and PIU. CONCLUSION: Highlighting the significant protective role of autonymy in relation to PIU as well as the mediating role of autonomy in the relationship between the higher-order personality factors and PIU, the findings of this study can be implemented in prevention and intervention programmes for university students.
- MeSH
- Behavioral Research * methods trends MeSH
- Internet trends utilization MeSH
- Humans MeSH
- Longitudinal Studies MeSH
- Young Adult MeSH
- Multicenter Studies as Topic MeSH
- Personal Autonomy MeSH
- Surveys and Questionnaires standards utilization MeSH
- Psychological Tests MeSH
- Self Concept MeSH
- Statistics as Topic MeSH
- Students classification psychology statistics & numerical data MeSH
- Personality Assessment * MeSH
- Check Tag
- Humans MeSH
- Young Adult MeSH
- Geographicals
- Lithuania MeSH
- Hungary MeSH
- Slovakia MeSH
The article refers to new approaches to teaching mathematics in a new textbook for 9th grade to students with intellectual disabilities. The article describes the structure of the textbook, shows the opportunities of differentiation and individualization of learning, possibilities for the correction of cognitive activity of students, possibilities for generalization of mathematical knowledge. The correspondence between various kinds of mathematical tasks and stages of learning of children with intellectual disabilities is shown. Particular attention is paid to the formation of positive motivation of students.
- Keywords
- speciální pedagogika, diferencovaný přístup,
- MeSH
- Mental Disorders MeSH
- Individuation * MeSH
- Cognition MeSH
- Humans MeSH
- Mathematics * methods organization & administration manpower trends education MeSH
- Adolescent MeSH
- Motivation MeSH
- Persons with Intellectual Disabilities * MeSH
- Access to Information MeSH
- Students * classification psychology MeSH
- Textbooks as Topic MeSH
- Teaching * methods organization & administration manpower trends MeSH
- Child Development MeSH
- Check Tag
- Humans MeSH
- Adolescent MeSH
Záměry. Cílem studie bylo: (a) ověřit faktorovou strukturu českých překladů Baron-Cohenových inventářů AQ, SQ a EQ; (b) zkoumat rozdíly v autistických rysech, empatii a systemizaci mezi studenty exaktních a humanitních věd i mezi muži a ženami; (c) hledat možné korelace mezi skóry v Baron-Cohenových dotaznících a pěti obecnými dimenzemi osobnosti, měřenými NEO-FFI. Soubor a procedura. Výzkumný soubor sestával z 268 studentů Přírodovědecké fakulty UP a 348 studentů Filozofické fakulty UP. Ženy tvořily 75 % souboru. Studenti vyplňovali dotazníky s pomocí webové aplikace. Statistická analýza. K ověření faktorové struktury Baron-Cohenových inventářů byla použita konfirmační faktorová analýza. Účinek pohlaví, oboru studia a jejich interakce byl zkoumán s pomocí ANOVY. Vztah mezi měřenými proměnnými byl zjišťován na základě výpočtu Pearsonovy korelace. Možné zkreslení opakovaného testování bylo korigováno Bonferroniho metodou. Výsledky. Konfirmační faktorová analýza potvrdila čtyřfaktorový model SQ a třífaktorový model EQ. Do určité míry také podpořila pětifaktorový model AQ. Studenti exaktních věd měli signifikantně vyšší skóry v Kvocientu systemizace než studenti humanitních oborů. Ženy skórují významně výše než muži v Kvocientu empatie a níže v Kvocientu systemizace. Autistické rysy, měřené AQ, záporně korelují s empatií i dimenzí extraverze NEO-FFI a záporně s neuroticismem. Úroveň empatie koresponduje s extraverzí. AQ negativně koreluje s EQ. Omezení studie. Studie byla uskutečněna na dvou fakultách jedné moravské univerzity. Ve výzkumném souboru byl větší počet žen (75 %) než mužů. Data byla získána prostřednictvím webové aplikace.
Objectives. The study was aimed: (a) to verify the factor structure of Czech translations of the Baron-Cohen's inventories AQ, SQ, and EQ; (b) to explore the differences in autistic features, level of empathy and systemizing between the exact sciences and humanities students, and between men and women; (c) to find possible correlation among the scores in Baron-Cohen's questionnaires and five general personality dimensions, measured by NEO-FFI. Sample and setting. The research sample consisted of 268 students from the Faculty of Science PU and 349 students from the Philosophical Faculty PU in Olomouc. Women comprised 75 % of the sample. Participants filled in inventories using web application specifically prepared for the research. Statistical analysis. Confirmatory factor analysis was used to verify the factor structure of the Baron-Cohen's inventories. Effects of gender, field of study, and their interaction on dependant variables were explored by ANOVA. The relationships between measured variables were examined by Pearson's correlation. The potential bias of repeated testing was corrected by Bonferroni's method. Results. CFA confirmed the four-factor model of SQ, and the three-factor model of EQ. It also revealed support for the five-factor model of AQ. The exact sciences students scored significantly higher on the Systemizing Quotient than humanities students. Women are significantly higher than men on the Empathy Quotient and lower on the Systemizing Quotient. The autistic features, measured by AQ, negatively correlate with NEO-FFI dimension Extraversion and positively with Neuroticism. The level of empathy appeared to correspond to the Extraversion. AQ correlated negatively with EQ. Study limitation. The study was realised at two faculties of one Moravian university. There was a greater proportion of women (75%) than men in the research sample. Data were collected using web application.
- Keywords
- faktorová struktura, autismus, systemizace, obor studia,
- MeSH
- Asperger Syndrome * diagnosis etiology MeSH
- Autistic Disorder diagnosis etiology MeSH
- Adult MeSH
- Empathy MeSH
- Factor Analysis, Statistical MeSH
- Humans MeSH
- Adolescent MeSH
- Brain physiology MeSH
- Signs and Symptoms MeSH
- Surveys and Questionnaires utilization MeSH
- Psychiatric Status Rating Scales MeSH
- Students classification psychology MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
Cieľom štúdie bolo identifikovať chronotyp dominujúci u vysokoškolských študentiek realizujúcich vo svojom voľnom čase športovú aktivitu aerobik. Súbor tvorili študentky (n = 62, vek = 21,2±1,4 roka) I. a II. stupňa vysokoškolského štúdia rôznych študijných programov a študijných odborov na jednotlivých fakultách Univerzity Mateja Bela v Banskej Bystrici. Na zistenie potrebných údajov pre identifikáciu chronotypov bola využitá metóda štandardizovaného dotazníka. Identifikácia chronotypu bola realizovaná kvantifikáciou bodového skóre všetkých otázok a priradeniu konkrétneho chronotypu podľa stanovenej bodovej stupnice. Analýza výsledkov ukázala, že 48 probandiek (77,4 %) inklinovalo k vyrovnanému chronotypu, u 8 probandiek (12,9 %) dominoval mierne ranný chronotyp. U 5 (8,1 %) probandiek bol identifikovaný mierne večerný chronotyp. Bezprostredne večerný chronotyp bol identifikovaný len u jednej probandky (1,6 %) a bezprostredne ranný chronotyp nebol identifikovaný u žiadnej (0 %) z probandiek.
The aim of the study was chronotype´s identification of university´s students who have been practising the activity of aerobics during their free time. The experimental ensemble composed of probands (n = 62, age = 21.2±1.4 years) who attended I. and II. level of university´s studies. The probands attended various study programmes and field of studies on particular faculties of Matej Bel University in Banská Bystrica. We identified chrontypes thanks to the method of standardised questionnaire. The identification was being done by quantification of score points of all questions. The scores were added together and the sum converted into a stated five point scale. The analysis has shown that 48 probands (77.4 %) tend to be the neither chronotype, 8 probands (12.9 %) are represented by moderately morning chronotype. Moderately evening chronotype is dominated for 5 probands (8.1 %). 1 proband (1.6 %) tends to be definitely evening chronotype. Definitely morning chronotype was not identified.
- Keywords
- aerobik, biorytmy, vysokoškolské studentky,
- MeSH
- Chronobiology Discipline MeSH
- Chronotype MeSH
- Circadian Rhythm * MeSH
- Adult MeSH
- Humans MeSH
- Surveys and Questionnaires utilization MeSH
- Students * classification MeSH
- Exercise Movement Techniques MeSH
- Leisure Activities MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Female MeSH
- Geographicals
- Slovakia MeSH
- MeSH
- Adult MeSH
- Qualitative Research MeSH
- Humans MeSH
- Nursing methods manpower MeSH
- Burnout, Professional * diagnosis prevention & control therapy MeSH
- Problem Solving MeSH
- Decision Making * MeSH
- Interviews as Topic MeSH
- Social Welfare * classification psychology MeSH
- Social Work methods organization & administration trends MeSH
- Statistics as Topic MeSH
- Students classification psychology MeSH
- Education, Nursing, Baccalaureate methods manpower MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- MeSH
- Amphetamine MeSH
- Behavioral Research MeSH
- Marijuana Smoking epidemiology MeSH
- Smoking epidemiology MeSH
- Humans MeSH
- Analgesics, Non-Narcotic MeSH
- Analgesics, Opioid MeSH
- Alcohol Drinking epidemiology MeSH
- Substance-Related Disorders diagnosis epidemiology psychology MeSH
- Surveys and Questionnaires standards utilization MeSH
- Solvents MeSH
- Statistics as Topic MeSH
- Students classification psychology MeSH
- Universities MeSH
- Check Tag
- Humans MeSH
- Keywords
- kariérové poradenství, výběr a volba povolání a studia, tradice, psychotechnika, profesiografie,
- MeSH
- Humans MeSH
- Adolescent MeSH
- Personality classification MeSH
- Counselors MeSH
- Vocational Guidance * history methods organization & administration manpower legislation & jurisprudence MeSH
- Schools manpower MeSH
- Students classification psychology MeSH
- Career Choice MeSH
- Check Tag
- Humans MeSH
- Adolescent MeSH
- Publication type
- Historical Article MeSH
- Geographicals
- Czech Republic MeSH
The author in his study looks for an answer to the question: “Why many students of CTU in Prague quit their active sport activities during their university study?” The task was being solved both by a quantitative method – a questionnaire in 936 first-year students and by a qualitative method – an analysis of contents of written responses by 26 students from higher years. After the evaluation of written responses the initial number of 15 reasons found had to be extended up to 20 reasons. The results shown that the main reasons for quitting and restraining one’s sport activity was “shortage of time” – the average value on a 7-point scale was 3.96 (1.30) together with “a high study load” – the average value on the scale was 3.14 (2.07).
- MeSH
- Curriculum MeSH
- Humans MeSH
- Pilot Projects MeSH
- Surveys and Questionnaires MeSH
- Sports classification psychology education MeSH
- Statistics as Topic MeSH
- Students classification psychology MeSH
- Physical Education and Training methods trends MeSH
- Universities MeSH
- Leisure Activities classification psychology MeSH
- Education methods MeSH
- Research MeSH
- Check Tag
- Humans MeSH
- Geographicals
- Czech Republic MeSH
- MeSH
- Faculty, Medical organization & administration statistics & numerical data MeSH
- Curriculum standards statistics & numerical data MeSH
- Medical Informatics methods trends education MeSH
- Humans MeSH
- International Cooperation MeSH
- Hospitals, University organization & administration trends utilization MeSH
- Mentors statistics & numerical data education MeSH
- Students classification statistics & numerical data MeSH
- Education, Medical methods standards trends MeSH
- Education economics methods organization & administration MeSH
- Educational Measurement methods standards statistics & numerical data MeSH
- Check Tag
- Humans MeSH
- Geographicals
- United States MeSH
- Utah MeSH
- MeSH
- Child MeSH
- Humans MeSH
- Adolescent legislation & jurisprudence MeSH
- Occupational Diseases MeSH
- Accidents, Occupational economics prevention & control legislation & jurisprudence MeSH
- Sick Leave economics legislation & jurisprudence MeSH
- Schools economics statistics & numerical data legislation & jurisprudence MeSH
- Students classification statistics & numerical data legislation & jurisprudence MeSH
- Education economics statistics & numerical data legislation & jurisprudence MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent legislation & jurisprudence MeSH
- Geographicals
- Czech Republic MeSH
