845 research outputs found

    Editor's Statement

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    The editor references September 11th and how that might impact people moving forward. He reviewed the articles in the issue and asks for new scholarship to create a legacy for the forthcoming 25 years

    Editor's Statement

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    The editor provided an overview of the articles in the issue and called for more research in the field

    Editor's Statement

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    The new editor thanks previous editorial staff and calls for more submissions in the field to expand the literature

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    The editor highlighted the importance of athletic advisors especially during the election campaigning season

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    The editor calls for continued scholarship in the field for its growth after 25 years after N4A began

    Editor's Statement

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    The editor bids farewell as this was his final issue in this role. He highlighted the incoming leadership

    Academic Performance and Achievement of Selected Track Athletes

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    Data on all first time in college (FTIC) track athletes at a major southeastern university over a ten-year period (1983-1993) were examined to compare variables of gender, ethnicity, admission scores (high school grade point average and SAT/ ACT scores), terminal academic major, graduation rates, and cumulative university grade point averages with those FTIC in the general student body. Reports generated from the university's student database and data from the Registrar's Office were examined. Data for the non-revenue student-athlete group was comprised of 115 or 44.9% females and 141 or 55.1% males for a total of 256 (see Table 1). The general student body data, contained 34,068 students of whom 19,491 or 57.2% were female and 14,577 or 42.8% were male. Results of this descriptive and exploratory study may provide valuable information to academic and athletic communities that may help to debunk myths of student-athletes, guide policy, and improve programs. The mean university GPA for the student body was higher (2.63) compared to track/cross country student-athletes (2.56). Track/cross country students (69.9%) had a higher graduation rate compared to the general student body (64.5%)

    Demographic Characteristics of Academic Advisors for Intercollegiate Athletics of NCAA D-I Member Institutions

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    This investigation examined selected demographic factors of National Association of Academic Advisors for Atlhetics (N4A) professionals. A 23 item self-reported questionnaire was mailed in Spring 2001. A non-experimental descriptive exploratory design was implemented utilizing the field survey format. Research variables investigated were individual primary & secondary diversity characteristics. Primary diversity characteristics refer to human differences that are inborn and cannot be changed or modified during a person's life such as age, race, ethnicity, gender, physical abilities, and sexual orientation (Gardenswartz & Rowe, 1994). Secondary diversity characteristics are human differences that are inherited from the environment and can be changed or modified during a person's life such as educational level, work experience, income, marital status, religious beliefs, geographical location, parental status, behavioral style, etc. (Loden & Rosener, 1991). The responses from 213 questionnaires were coded and included in the SPSS computer analysis. Not all participants responded to all items; as a result, the sample sub-totals varied from 202-213. Results indicated 2/3 (67.4%) of advisors were likely to be 39 years or less in age and 113 (32.6%) were 40 years or older. Cross-tabulations implied male and female advisors were likely to have earned degrees at the same levels. White females were more often employed as academic athletic advisors in NCAA D-1 institutions than male or females of other ethnic minority groups collectively. Gender results from 212 responses indicated 83 (39.3%) were males and 129 (60.7%) were females. The average age of the respondents was 36.9 years and they ranged in age from 23 to 66 years (median age 34; mode age 29). Annual mean salaries of the advisors were 40,956andrangedfrom40,956 and ranged from 18,000 to 96,000(mediansalary96,000 (median salary 39,000, mode 30,000).Theaveragesalaryforthemaleadvisorswas8.4530,000). The average salary for the male advisors was 8.45% or 6,804 higher han the average salary for the female advisors. A similar trend was also shown for salary. The median salary for male advisors was 42,000and42,000 and 36,000 for female advisors. The difference in salary depicted an 8.57% or $6,000 increase for the males than female

    Statistical Data Analysis Techniques Employed in Sport Marketing Quarterly: 1992 to 2004

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    This investigation was an assessment of data analysis statistical techniques used in Sport Marketing Quarterly (SMQ) from 1992 to 2004. In 159 quantitative data based articles reviewed, 360 uses of statistical data analysis techniques were identified. The techniques were classified by type of statistical data analysis method as descriptive statistics, parametric statistics, and nonparametric statistics. One half (50.00%) were used as descriptive statistics, 41.94% as parametric statistics, and less than one tenth (8.06%) as nonparametric statistics. Percentages and frequencies were the most frequent descriptive statistics used to answer the research purposes, questions, and/or hypotheses by the researchers of SMQ for this period. One-way ANOVA and regression analysis were the most frequent parametric statistics used and chi-square was the most frequent nonparametric statistic used. The intent of this investigation was to provide undergraduate and graduate students, their instructors, and other scholars with an overview of the most frequently used statistical data analysis techniques used in SMQ during its first 13 years. In addition, this study has provided some insight into the directions of the research conducted in sport marketing studies from a research methodology standpoint. For a new and developing academic area such as sport marketing, it is important for its consumers to know how such an area advances relative to its research methods

    On foundations of quantum physics

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    Some aspects of the interpretation of quantum theory are discussed. It is emphasized that quantum theory is formulated in the Cartesian coordinate system; in other coordinates the result obtained with the help of the Hamiltonian formalism and commutator relations between 'canonically conjugated' coordinate and momentum operators leads to a wrong version of quantum mechanics. The origin of time is analyzed in detail by the example of atomic collision theory. It is shown that for a closed system like the three-body (two nuclei + electron) time-dependent Schroedinger equation has no physical meaning since in the high impact energy limit it transforms into an equation with two independent time-like variables; the time appears in the stationary Schroedinger equation as a result of extraction of a classical subsystem (two nuclei) from a closed three-body system. Following the Einstein-Rozen-Podolsky experiment and Bell's inequality the wave function is interpreted as an actual field of information in the elementary form. The relation between physics and mathematics is also discussed.Comment: This article is extended version of paper: Solov'ev, E.A.: Phys.At.Nuc. v. 72, 853 (2009
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