共查询到17条相似文献，搜索用时 125 毫秒
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本文对体育科研中常见的名义类型资料和有序类型资料作了介绍,还介绍了一系列模型,称之为对数线性模型。这些模型能描述名义类型变量和名义类型变量、名义类型变量和有序类型变量、有序类型变量和有序类型变量之间的相关性。另外,它还提供了一种统计推断的结构。 相似文献
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本文给出了体育中定性数据分析的名义、有序变量和二维、三维交叉分类等几个基本概念,并选择性的介绍了处理这些资料的几个有代表性的有序对数线性模型。这些模型比x~2检验能提供更多的信息,即有序信息、各行的效应信息等。最后,对三个有序变量的交叉分类表和一个有序变量、一个名义变量的交叉分类表进行了实例分析,给读者一个直观的印象。 相似文献
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回归分析是社会学研究领域中进行多因素分析最重要的研究方法之一，而将回归分析的方法应用到体育社会学实证研究中的较少。学习和掌握西方社会学这种定量分析的研究方法，对提高我国体育社会学研究方法的应用水平和研究水平具有重要意义。由于体育社会学研究中的变量主要为定类与定序变量，而体育统计教材对定类与定序变量的回归分析方法鲜有论及。从介绍定类与定序变量的回归分析方法入手，旨在为其在体育社会学研究中的应用提供方法指导。 相似文献
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在常微分方程中,许多类型的常微分方程求解是依靠变量代换这一重要方法来完成的,文章就变量代换在几类微分方程中的应用进行探究。 相似文献
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分离变量法是求解偏微分方程的一种重要方法,按照变量分离求解方法和步骤,通过实例探讨了各类形式应用变量分离求解过程,可加深全面认识与理解分离变量法。 相似文献
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研究问题与统计方法的有机配合 总被引：7，自引：0，他引：7
张力为 《天津体育学院学报》2001,16(2):23-26
在实证性研究的设计阶段．研究者应明确研究课题，界定自变量、因变量、控制变量和协变量的操作定义和相互关系，并根据研究课题和变量关系选择合适的统计技术。分别讨论了分析变量关系、探讨组间差异、预测组别隶属以及考察变量结构这四类统计技术解答的研究问题，并通过科研实例介绍了根据研究问题选择统计技术的思路。特别指出。一个研究问题通常可以由多个统计方法加以解决。 相似文献
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活动类型和强度对大学男生心境变化影响的研究 总被引：31，自引：2，他引：29
阐述和考察了个体锻炼活动中心境的理论与实践意义及其诸影响因素,主要包括:(1)活动类型;(2)活动强度;(3)适宜强度刺激等。并引入“运动处方”概念,探讨在这一类个体活动指导形式中加入个体主观变量的必要性和可能性。 相似文献
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调节变量在体育科学研究设计中的理论作用和统计计算 总被引：6，自引：1，他引：5
调节变量（moderator）界定着自变量和因变量之间关系的边界条件，是影响自变量和因变量之间关系强度或关系方向的变量。调节变量的引入，往往使科学研究摆脱困境和走向深入。分析了调节变量的性质；介绍了4种不同条件下计算调节作用的统计方法，即1）调节变量与自变量均为类别变量时的统计方法，2）调节变量为类别变量、自变量为连续变量时的统计方法，3）调节变量为连续变量、自变量为类别变量时的统计方法，以及4）调节变量与自变量均为连续变量时的统计方法；还通过实例讨论了调节变量在理论发展过程中的作用。 相似文献
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张力为 《天津体育学院学报》2001,16(2):19-22
“体育科学研究方法”专栏的开设始自张力为博士的一个想法。当时我曾委托他为本刊主持一个专题，而对学问严肃又负责的他却迟迟没有组到自认为合格的稿子。交流中我们谈起目前体育学术界在研究方法上存在的问题种种，不久就有了他的12篇关于研究方法的文章寄来，看来他已是厚积薄发。于是，我们想索性办个专栏，引发更多学者的关注和参与。我们请姜达维教授审阅了张博士的文章，便有了网上精彩的对话和更多思想火花的进发。“体育科学研究方法”专栏就在这样一个充满激情与智慧的讨论中开场了。 相似文献
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In this paper, we identify appropriate statistical methods for analysing categorical differences in discrete variables or 'performance indicators' resulting from performance analysis. The random mechanisms associated with discrete events do not follow a normal distribution; that is, the normal distribution is a continuous not a discrete probability distribution. We propose appropriate statistical methods based on two key discrete probability distributions, the Poisson and binomial distributions. Two approaches are proposed and compared using examples from notational analysis. The first approach is based on the classic chi-square test of significance (both the goodness-of-fit test and the test of independence). The second approach adopts a more contemporary method based on log-linear and logit models fitted using the statistical software GLIM. Provided relatively simple one-way and two-way comparisons in categorical data are required, both of these approaches result in very similar conclusions. However, as soon as more complex models or higher-order comparisons are required, the approach based on log-linear and logit models is shown to be more effective. Indeed, when investigating those factors and categorical differences associated with binomial or binary response variables, such as the proportion of winners when attempting decisive shots in squash or the proportion of goals scored from all shots in association football, logit models become the only realistic method available. By applying log-linear and logit models to discrete events resulting from notational analysis, greater insight into the underlying mechanisms associated with sport performance can be achieved. 相似文献
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Alan M. Nevill Greg Atkinson Mike D. Hughes Stephen-Mark Cooper 《Journal of sports sciences》2013,31(10):829-844
In this paper, we identify appropriate statistical methods for analysing categorical differences in discrete variables or 'performance indicators' resulting from performance analysis. The random mechanisms associated with discrete events do not follow a normal distribution; that is, the normal distribution is a continuous not a discrete probability distribution. We propose appropriate statistical methods based on two key discrete probability distributions, the Poisson and binomial distributions. Two approaches are proposed and compared using examples from notational analysis. The first approach is based on the classic chi-square test of significance (both the goodness-of-fit test and the test of independence). The second approach adopts a more contemporary method based on log-linear and logit models fitted using the statistical software GLIM. Provided relatively simple one-way and two-way comparisons in categorical data are required, both of these approaches result in very similar conclusions. However, as soon as more complex models or higher-order comparisons are required, the approach based on log-linear and logit models is shown to be more effective. Indeed, when investigating those factors and categorical differences associated with binomial or binary response variables, such as the proportion of winners when attempting decisive shots in squash or the proportion of goals scored from all shots in association football, logit models become the only realistic method available. By applying log-linear and logit models to discrete events resulting from notational analysis, greater insight into the underlying mechanisms associated with sport performance can be achieved. 相似文献
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Jackie L. Hudson 《Research quarterly for exercise and sport》2013,84(2):115-121
Abstract This study was designed to examine the use of selected biomechanical variables in the prediction of basketball skill. The subjects were college women in three mutually exclusive groups of basketball skill: an elite group of six competitors on the United States team in the World University Games, a good group of seven players on a varsity team, and a poor group of nine members of an instructional class. An accuracy test and digitized film records provided the data for 12 variables related to the process or product of free throw shooting. Discriminant analysis was employed to predict the categorical variable of skill. The most discrimination came from variables of accuracy, stability, and height of release rather than from variables of projection. Poor shooters were distinguished by instability; elite shooters were characterized by a high point of release and accuracy under pressure. Depending on the method of prediction, rates for correct classification of subjects ranged from 76–100%. Thus, it appears that discriminant analysis using biomechanical variables can be a successful tool in the prediction of basketball skill. 相似文献
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测力台上CMJ测试的动力学过程及主要力学指标计算 总被引：5，自引：0，他引：5
本文根据CMJ测试的特点,基本要求及条件控制,在分析动力学过程和时相划分的基础上,应用冲量定理和机械能守恒定律,较为详细地介绍了与CMJ测试有关的主要力学指标和计算方法。 相似文献
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以毛荣建（2003）所提出假设（在TPB理论基础上做出改进,将行为习惯、目标态度、情感体验3个变量融入了计划行为理论模型中,用来测量青少年体育锻炼态度。）为研究理论依托,进一步验证体育锻炼态度及其影响因素与体育锻炼行为之间的关系,通过《锻炼态度》与《体育锻炼行为》问卷对在校大学生分层随机调查,运用方差分析、相关分析、回归分析与路径分析等方法分析数据,结果表明：锻炼者与非锻炼者在体育锻炼态度各维度上呈现显著性差异;性别因素不能影响锻炼人群在体育锻炼态度的各项维度得分的差异性的结果,非锻炼人群也是如此;体育锻炼活动中,决定行为意向的关键变量因素是态度;具有高情感体验、或高认知的大学生,并不一定是锻炼者。路径分析说明,行为习惯、情感体验、行为认知、目标态度、主观标准一方面通过行为态度间接作用体育行为,另一方面,行为习惯、目标态度、主观标准对体育行为还具有直接的预测作用。 相似文献
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Valerie Carson Kylie D. Hesketh Ryan E. Rhodes Christina Rinaldi Wendy Rodgers John C. Spence 《Measurement in physical education and exercise science》2017,21(4):190-200
This study examined the psychometric properties of a questionnaire developed with the guidance of the socialization model of child behaviour to understand modifiable correlates of toddlers’ physical activity and sedentary behaviour. Findings are based on 118 parents (33.7 ± 4.9 years; 86% female) of toddlers (19.3 ± 2.7 months; 48% female) from Edmonton, Canada in The Parents’ Role in Establishing healthy Physical activity and Sedentary behaviour habits study (PREPS). The PREPS questionnaire encompassed 21 variables across the constructs of the socialization model of child behaviour. Of the nine variables assessed for internal consistency reliability, eight had good (α ≥ 0.70) reliability. Of the 15 continuous variables assessed for 1-week test–retest reliability, 10 had moderate (intra-class correlation = 0.50–0.74) and 5 had good (intra-class correlation ≥ 0.75) reliability. Of the six categorical variables assessed for 1-week test–retest reliability, two had fair (К = 0.21–0.40), one had moderate (К = 0.41–0.60), one had substantial (К = 0.61–0.80), and two had almost perfect (К = 0.81–1.00) reliability. Of the 12 sedentary behaviour variables assessed for convergent validity, 7 were significantly correlated with children’s screen time, of which three were small (r ≤ 0.29), two were medium (r = 0.30–0.49), and two were large (r ≥ 0.50) effect sizes. 相似文献