scholarly journals Characteristics of the handball game at the senior’s level in the current time period

2019 ◽  
Vol 1 ◽  
pp. 46-49
Author(s):  
Mihai Timofte ◽  
Florin Leuciuc
Keyword(s):  
Small Group ◽  
Small Groups ◽  
Current Time ◽  
Training Models ◽  
Time Period ◽  
Fast Pace ◽  
The Difference ◽  
And Performance ◽  
And Training ◽  
Sporting Performance

In order to properly prepare a team, it is necessary to act physically, technically, tactically and motivationally to learn to analyze the situations of the game and to solve them in complex conditions. Achieving sporting performance is based on the implementation of an optimal game strategy and concept, from which game models are developed and training models are tailored according to the potential of the team. In order to achieve performance in handball, efficiency is an essential part, and this largely depends on the handball player's experience and his ability to concentrate on key moments of matches. The increasing number of scored goals is a consequence of the increasing number of attacks, the reduction of the duration of the attack and the marking of goals on the counterattack; all these rely on the principles of dynamic and fast pace game. To meet these requirements in the current handball, players have to face the new physical, technical and tactical demands required by the fast and sustained rhythm of the game. The difference in game is done by individual or small group actions and where decisional speed is essential in gaining efficiency and performance, so workouts must focus on: improving the technique and individual tactics; creating the ability to solve the 1-to- 1 relationship in attack and defence; compliance with the established tactical plan; to improve collaboration on small groups (2 to 2, 3 to 3).

Barriers to Leading Small Groups among Generation Z and Younger Millennials: An Exploratory Factor Analysis and Implications for Recruitment and Training

2021 ◽  
pp. 073989132110184
Author(s):  
David R. Dunaetz ◽  
Diane T. Wong ◽  
Alexandria L. Draper ◽  
Jacob P. Salsman
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Small Group ◽  
Exploratory Factor Analysis ◽  
Group Dynamics ◽  
Small Groups ◽  
Generation Z ◽  
Biblical Foundations ◽  
And Training ◽  
Group Skills

Small groups are an essential aspect of contemporary churches, playing an important role in community building, support, spiritual formation, and accountability. However, their number and impact are often limited due to a lack of people willing to lead a small group, a problem faced by each new generation. This exploratory study of 217 young adults in church small groups (median age = 24.0 years), including both leaders and non-leaders of small groups, examines potential barriers to small group leadership. An exploratory factor analysis found six barriers: Desire to lead a small group, Skills in group dynamics, Desire to positively influence others, Social support, Biblical foundations, and Stability. The hypothesis that some barriers would be greater than others was supported: Stability and Desire to lead a small group were the greatest barriers whereas Desire to positively influence others was the lowest. The hypothesis that these barriers would be greater for non-leaders of small groups than for leaders of small groups was supported for all six barriers. The difference between leaders and non-leaders was largest for Desire to lead a small group, Skills in group dynamics, Social support, and especially Biblical foundations. These results lead to important insights for recruiting and training Generation Z and younger Millennials to be small group leaders.

A Modification of the Payne-Jones Method of Identifying Abnormal Differences in WISC-R Performance and Verbal IQ's

1996 ◽  
Vol 12 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Louis M. Hsu
Keyword(s):  
Full Scale ◽  
True Score ◽  
Verbal Iq ◽  
Score Difference ◽  
The Difference ◽  
And Performance

The difference (D) between a person's Verbal IQ (VIQ) and Performance IQ (PIQ) has for some time been considered clinically meaningful ( Kaufman, 1976 , 1979 ; Matarazzo, 1990 , 1991 ; Matarazzo & Herman, 1985 ; Sattler, 1982 ; Wechsler, 1984 ). Particularly useful is information about the degree to which a difference (D) between scores is “abnormal” (i.e., deviant in a standardization group) as opposed to simply “reliable” (i.e., indicative of a true score difference) ( Mittenberg, Thompson, & Schwartz, 1991 ; Silverstein, 1981 ; Payne & Jones, 1957 ). Payne and Jones (1957) proposed a formula to identify “abnormal” differences, which has been used extensively in the literature, and which has generally yielded good approximations to empirically determined “abnormal” differences ( Silverstein, 1985 ; Matarazzo & Herman, 1985 ). However applications of this formula have not taken into account the dependence (demonstrated by Kaufman, 1976 , 1979 , and Matarazzo & Herman, 1985 ) of Ds on Full Scale IQs (FSIQs). This has led to overestimation of “abnormality” of Ds of high FSIQ children, and underestimation of “abnormality” of Ds of low FSIQ children. This article presents a formula for identification of abnormal WISC-R Ds, which overcomes these problems, by explicitly taking into account the dependence of Ds on FSIQs.

THE USE OF HISTORICAL DATA IN ACCOUNTING RESEARCH: THE CASE OF THE AMERICAN SUGAR REFINING COMPANY

1997 ◽  
Vol 24 (2) ◽  
pp. 1-24 ◽  
Author(s):  
Robert Bricker ◽  
Kevin Brown
Keyword(s):  
Capital Market ◽  
Historical Data ◽  
Abnormal Returns ◽  
Deep Understanding ◽  
Historical Record ◽  
Historical Period ◽  
Financial Condition ◽  
A Value ◽  
Time Period ◽  
And Performance

In 1908, the American Sugar Refining Company (ASR) reversed its long-held policy of secrecy as to its financial condition and performance. Prior work, applying contemporary capital market methods to ASR security price data of that period, has suggested a value to ASR shareholders of this policy reversal. This paper examines the historical record of that time and presents additional evidence on this matter, particularly in terms of identifying potentially confounding events occurring during the period under study. The results of this analysis suggest a difficulty in attributing observed abnormal returns to ASR's secrecy policy reversal on the basis of the results obtained from applying capital markets methods. This analysis is useful for scholars interested in applying modern capital market methods to historical data. It highlights the significance of the possible effects of contemporaneous historical events, focuses attention on the importance of a deep understanding of the historical period studied, and suggests a value in combining historical and empirical-markets methods to gain a richer understanding of the events and conditions in the time period under study.

scholarly journals Pacing in Time-Limited Ultramarathons from 6 to 24 Hours—The Aspects of Age, Sex and Performance Level

2021 ◽  
Vol 13 (5) ◽  
pp. 2705
Author(s):  
Hagen Deusch ◽  
Pantelis T. Nikolaidis ◽  
José Ramón Alvero-Cruz ◽  
Thomas Rosemann ◽  
Beat Knechtle
Keyword(s):  
Analysis Of Variance ◽  
Coefficient Of Variation ◽  
Training Programs ◽  
Performance Level ◽  
Running Speed ◽  
And Performance ◽  
Main Effects ◽  
And Training ◽  
Age And Sex

(1) Background: Compared with marathon races, pacing in time-limited ultramarathons has only been poorly discussed in the literature. The aim of the present study was to analyze the interaction of performance level, age and sex with pacing during 6 h, 12 h or 24 h time-limited ultramarathons. (2) Methods: Participants (n = 937, age 48.62 ± 11.80 years) were the finishers in 6 h (n = 40, 17 women and 23 men), 12 h (n = 232, 77 women and 155 men) and 24 h (n = 665, 166 women and 409 men) ultramarathons. The coefficient of variation (CV), calculated as SD/mean, was used to described pacing. Low scores of CV denoted a more even pacing, and vice versa. A two-way analysis of variance examined the main effects and interactions of sex and race duration on age, race speed and pacing. (3) Results: More men participated in the longer race distances than in the shorter ones and men were older and faster than women. Comparing the 6 h, 12 h and 24 h races, the finishers in the 6 h were the fastest, the finishers in the 12 h were the oldest and the finishers in the 24 h showed the most variable pacing. Furthermore, the faster running speed in the 12 h (women, r = −0.64; men, r = −0.49, p < 0.001) and the 24 h (r = −0.47 in women and men, p < 0.001) was related to less variable pacing. (4) Conclusions: These data might help runners and coaches to choose the the proper duration of a race and training programs for their athletes.

scholarly journals Cultivating the Ethical Repertoires of Behavior Analysts: Prevention of Common Violations

2021 ◽  
Author(s):  
Lisa N. Britton ◽  
Amy A. Crye ◽  
Linda K. Haymes
Keyword(s):  
Behavior Analyst ◽  
Ethical Culture ◽  
Behavior Analyst Certification Board ◽  
Ethical Violations ◽  
Supervision Process ◽  
Organizational Perspective ◽  
Behavior Analysts ◽  
And Performance ◽  
Supervision And Training ◽  
And Training

AbstractViolations of the Professional and Ethical Compliance Code for Behavior Analysts occur despite coursework, supervision, and training. In this discussion, we highlight the most common violation categories identified: (a) improper or inadequate supervision/delegation, (b) failure to report/respond to the Behavior Analyst Certification Board (BACB) as required, and (c) professionalism/integrity. The specific areas addressed under supervision/delegation involve behavior analysts’ standards and performance as supervisors, as well as compliance with coursework. For failure to report, the focus is on responding, reporting, and providing updated information to the BACB in a timely manner. Finally, the section on professionalism and integrity addresses multiple code elements, including integrity, professionalism, and scientific relationships, as well as methods for promoting an ethical culture and decisions involving ethical violations by others. Importantly, we provide guidance on the structure and organization of supervision, methods and guidelines regarding reporting, and rubrics to shape and evaluate professionalism and integrity. We provide recommendations for the supervision process and for practitioners from the organizational perspective so that the organization supports and promotes an ethical culture.

scholarly journals Large numbers of vertebrates began rapid population decline in the late 19th century

2016 ◽  
Vol 113 (49) ◽  
pp. 14079-14084 ◽  
Author(s):  
Haipeng Li ◽  
Jinggong Xiang-Yu ◽  
Guangyi Dai ◽  
Zhili Gu ◽  
Chen Ming ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Size ◽  
Threatened Species ◽  
Driving Forces ◽  
Population Decline ◽  
Cumulative Effect ◽  
Extinction Time ◽  
Time Period ◽  
Large Numbers ◽  
The Difference

Accelerated losses of biodiversity are a hallmark of the current era. Large declines of population size have been widely observed and currently 22,176 species are threatened by extinction. The time at which a threatened species began rapid population decline (RPD) and the rate of RPD provide important clues about the driving forces of population decline and anticipated extinction time. However, these parameters remain unknown for the vast majority of threatened species. Here we analyzed the genetic diversity data of nuclear and mitochondrial loci of 2,764 vertebrate species and found that the mean genetic diversity is lower in threatened species than in related nonthreatened species. Our coalescence-based modeling suggests that in many threatened species the RPD began ∼123 y ago (a 95% confidence interval of 20–260 y). This estimated date coincides with widespread industrialization and a profound change in global living ecosystems over the past two centuries. On average the population size declined by ∼25% every 10 y in a threatened species, and the population size was reduced to ∼5% of its ancestral size. Moreover, the ancestral size of threatened species was, on average, ∼22% smaller than that of nonthreatened species. Because the time period of RPD is short, the cumulative effect of RPD on genetic diversity is still not strong, so that the smaller ancestral size of threatened species may be the major cause of their reduced genetic diversity; RPD explains 24.1–37.5% of the difference in genetic diversity between threatened and nonthreatened species.

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