Factors Affecting Match Performance in Professional Australian Football

2014 ◽  
Vol 9 (3) ◽  
pp. 561-566 ◽  
Author(s):  
Courtney Sullivan ◽  
Johann C. Bilsborough ◽  
Michael Cianciosi ◽  
Joel Hocking ◽  
Justin T. Cordy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Multiple Regression ◽  
Performance Characteristics ◽  
Stepwise Multiple Regression ◽  
Skill Performance ◽  
Australian Football ◽  
Activity Measures ◽  
Player Performance ◽  
Perception Of Performance ◽  
Peak Speed

Objectives:To determine the physical activity measures and skill-performance characteristics that contribute to coaches’ perception of performance and player performance rank in professional Australian Football (AF).Design:Prospective, longitudinal.Methods:Physical activity profiles were assessed via microtechnology (GPS and accelerometer) from 40 professional AF players from the same team during 15 Australian Football League games. Skill-performance measure and player-rank scores (Champion Data Rank) were provided by a commercial statistical provider. The physical-performance variables, skill involvements, and individual player performance scores were expressed relative to playing time for each quarter. A stepwise multiple regression was used to examine the contribution of physical activity and skill involvements to coaches’ perception of performance and player rank in AF.Results:Stepwise multiple-regression analysis revealed that 42.2% of the variance in coaches’ perception of a player’s performance could be explained by the skill-performance characteristics (player rank/min, effective kicks/min, pressure points/min, handballs/min, and running bounces/min), with a small contribution from physical activity measures (accelerations/min) (adjusted R2 = .422, F6,282 = 36.054, P < .001). Multiple regression also revealed that 66.4% of the adjusted variance in player rank could be explained by total disposals/min, effective kicks/min, pressure points/min, kick clangers/min, marks/min, speed (m/min), and peak speed (adjusted R2 = .664, F7,281 = 82.289, P < .001). Increased physical activity throughout a match (speed [m/min] β – 0.097 and peak speed β – 0.116) negatively affects player rank in AF.Conclusions:Skill performance rather than increased physical activity is more important to coaches’ perception of performance and player rank in professional AF.

Use of the Model of Human Occupation to Predict Women's Exercise Behavior

1987 ◽  
Vol 7 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Kathleen M. Rust ◽  
Roann Barris ◽  
Frank H. Hooper
Keyword(s):  
Physical Activity ◽  
Multiple Regression ◽  
Exercise Behavior ◽  
Stepwise Multiple Regression ◽  
Adult Women ◽  
Clinical Use ◽  
Regression Analyses ◽  
Human Occupation ◽  
Model Of Human Occupation ◽  
Model Components

This study used the model of human occupation as the basis for an analysis of leisure exercise behavior. A sample of 140 adult women completed a questionnaire that measured level of physical activity, age, and both generic and exercise-specific measures for the following model components: personal causation, values, interests, habits, and roles. A series of stepwise multiple regression analyses revealed the exercise-specific operationalization of the model to be somewhat successful ( R2=0.42) in predicting exercise behavior. Implications for research and clinical use of the model are addressed, and it is recommended that assessment be specific to the type of occupational behavior under consideration.

scholarly journals Mood and Balance are Associated with Free-Living Physical Activity of People after Stroke Residing in the community

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Matar A. Alzahrani ◽  
Catherine M. Dean ◽  
Louise Ada ◽  
Simone Dorsch ◽  
Colleen G. Canning
Keyword(s):  
Physical Activity ◽  
Multiple Regression ◽  
Univariate Analysis ◽  
Activity Monitor ◽  
Chronic Stroke ◽  
Community Dwelling ◽  
Stepwise Multiple Regression ◽  
Motor Impairments ◽  
Free Living ◽  
Sensory Motor

Purpose. To determine which characteristics are most associated with free-living physical activity in community-dwelling ambulatory people after stroke.Method. Factors (age, gender, side of stroke, time since stroke, BMI, and spouse), sensory-motor impairments (weakness, contracture, spasticity, coordination, proprioception, and balance), and non-sensory-motor impairments (cognition, language, perception, mood, and confidence) were collected on 42 people with chronic stroke. Free-living physical activity was measured using an activity monitor and reported as time on feet and activity counts.Results. Univariate analysis showed that balance and mood were correlated with time on feet (r=0.42, 0.43,P<0.01) and also with activity counts (r=0.52, 0.54,P<0.01). Stepwise multiple regression showed that mood and balance accounted for 25% of the variance in time on feet and 40% of the variance in activity counts.Conclusions. Mood and balance are associated with free-living physical activity in ambulatory people after stroke residing in the community.

Classifying player positions in second-tier Australian football competitions using technical skill indicators

2021 ◽  
pp. 174795412110102
Author(s):  
Adrian J Barake ◽  
Heather Mitchell ◽  
Constantino Stavros ◽  
Mark F Stewart ◽  
Preety Srivastava
Keyword(s):  
Positional Information ◽  
Multinomial Logistic Model ◽  
Sports Science ◽  
Lower Tier ◽  
Australian Football League ◽  
Australian Football ◽  
Second Tier ◽  
Performance Statistics ◽  
Player Performance ◽  
Player Positions

Efficient recruitment to Australia’s most popular professional sporting competition, the Australian Football League (AFL), requires evaluators to assess athlete performances in many lower tier leagues that serve as pathways. These competitions and their games are frequent, widespread, and challenging to track. Therefore, independent, and reliable player performance statistics from these leagues are paramount. This data, however, is only meaningful to recruiters from AFL teams if accurate player positions are known, which was not the case for the competitions from which most players were recruited. This paper explains how this problem was recently solved, demonstrating a process of knowledge translation from academia to industry, that bridged an important gap between sports science, coaching and recruiting. Positional information which is only available from the AFL competition was used to benchmark and develop scientific classification methods using only predictor variables that are also measured in lower tier competitions. Specifically, a Multinomial Logistic model was constructed to allocate players into four primary positions, followed by a Binary Logit model for further refinement. This novel technique of using more complete data from top tier competitions to help fill informational deficiencies in lower leagues could be extended to other sports that face similar issues.

Service quality of property managers of shopping complexes in Ibadan, Nigeria

2019 ◽  
Vol 37 (3) ◽  
pp. 310-326 ◽  
Author(s):  
Samson Oluseun Ojekalu ◽  
Olatoye Ojo ◽  
Timothy Tunde Oladokun ◽  
Sumoila Aremu Olabisi ◽  
Sunday Samuel Omoniyi
Keyword(s):  
Service Quality ◽  
Multiple Regression ◽  
Management Practice ◽  
Sampling Technique ◽  
Primary Data ◽  
Stepwise Multiple Regression ◽  
Systematic Sampling ◽  
Content Type ◽  
Five Axes

PurposeThe purpose of this paper is to assess the service quality (SQ) of property managers of shopping complexes in Ibadan with a view to improving management practice.Design/methodology/approachPrimary data were used for the study through questionnaire administration. Ibadan was stratified into five axes using existing major roads where shopping complexes were highly concentrated. From each axis, 33, 65, 48, 64 and 66 shopping complexes were identified (Oyo State Ministry of Land, Housing and Survey, 2017), and the systematic sampling technique (20 percent) was adopted to select 57 out of 276 shopping complexes and 192 (10 percent) out of 1919 occupiers of the shopping complexes in the study area. In total, 157 occupiers responded to the questionnaire, and the data were analyzed using mean ranking and stepwise multiple regression.FindingsThis study found that professionalism, tangible, assurance and empathy dimensions of SQ were rated fair, whereas reliability and responsiveness dimensions were rated poor. Also, stepwise multiple regression analysis predicted 78.5 percent overall SQ of property managers, and assurance, professionalism and empathy dimensions contributed significantly to the overall SQ. Hence, reliability and responsiveness dimensions of SQ need to be improved. It is expected that the findings of this study will help property managers to understand the role of various dimensions of SQ for enhanced property management practice.Originality/valueThe study is one of the few studies that assessed the SQ of property managers of shopping complex with a view to improving its management practice.

Predicting Adolescent Blood Pressure: Implications for Health Education Practice

1988 ◽  
Vol 9 (3) ◽  
pp. 187-208
Author(s):  
Matthew Adeyanju
Keyword(s):  
Blood Pressure ◽  
Socioeconomic Status ◽  
Health Education ◽  
Multiple Regression ◽  
Alcohol Intake ◽  
Ideal Body Weight ◽  
Skinfold Thickness ◽  
Stepwise Multiple Regression ◽  
Baseline Survey ◽  
Education Practice

The study was set up to potentially determine if a stepwise multiple regression model composed of such factors as sociodemographics, attitudes, and behaviors in combination with selected biomedical measures can be used to predict adolescent at risk health conditions such as hypertension and to examine the implications for health education practice. The study population consisted of 650 ninth grade (14–16-year-old) students in the baseline survey (1981) and 606 twelfth grade students in the final survey of 1985. Data collected included clinical measures of height, weight, triceps skinfold thickness, blood pressure, body mass index (BMI), resting pulse, and percent ideal body weight (PIBW). Self-reported health behaviors, attitudes, and sociodemographic variables were also assessed. Principal factor analysis with varimax rotation was employed to determine the grouping of the behavioral/attitudinal test items. Stepwise multiple regression analysis was used to determine the variables' potentials as predictors of blood pressure in adolescents. Significant potential predictors of male diastolic blood pressure included smoking, alcohol intake habits, obesity, pulse, race, age and parents' socioeconomic status; while predictors for the females focused on smoking, alcohol intake habits, stress, obesity, pulse and race. Potential indicators for male systolic blood pressure were smoking, alcohol habits, weight, height, race, parent's socioeconomic status; while smoking, alcohol habits, stress, obesity, pulse and race for the females. Community health promotion, prevention and educational programs directed at these potential predictors need to be implemented to encourage healthful lifestyles in the younger generation.

scholarly journals Responsiveness of Physical Activity Measures Following Exercise Programs after Total Knee Arthroplasty

2017 ◽  
Vol 4 (3) ◽  
pp. 1-8 ◽  
Author(s):  
Gustavo J Almeida ◽  
Lauren Terhorst ◽  
James J ◽  
Irrgan g ◽  
G. Kelley Fitzgerald ◽  
...  
Keyword(s):  
Physical Activity ◽  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Exercise Programs ◽  
Activity Measures ◽  
Total Knee

scholarly journals Incidencia de las características personales e inherentes al empleo sobre la satisfacción de los trabajadores en España

2020 ◽  
Vol 32 (1) ◽  
pp. 311
Author(s):  
María Carmen Sánchez Sellero ◽  
Pedro Sánchez Sellero
Keyword(s):  
Labour Market ◽  
Multiple Regression ◽  
Linear Models ◽  
Stepwise Multiple Regression ◽  
Deep Recession

This paper tries to determine the main features of the labour satisfaction. We applied the mentioned analysis to the current Spanish labour market, which is affected by a deep recession and instability. We want to get differences between personal and job-related features in order to find which better explain the labour satisfaction. Data come from the Quality of Labour Life Survey corresponding to the year 2010 by Ministry of Labour and Immigration of Spain. By means of linear models (ANOVA) we find that job-related variables explain better labour satisfaction, also, all the coefficients are positive. Finally, we propose a stepwise multiple regression which let us to put in order the effect of job-related variables on labour satisfaction. The variable with higher influence on labour satisfaction is motivation.

scholarly journals JUSTIFICATION OF ORGANIZATIONAL CHANGES INCLUDING SPECIFICS OF HIERARCHICAL RELATIONS IN DEVELOPING ORGANIZATIONS

Management ◽  
2018 ◽  
Vol 26 (2) ◽  
pp. 110-124
Author(s):  
Olena V. Shcherbak
Keyword(s):  
Multiple Regression ◽  
System Analysis ◽  
Organizational Structures ◽  
Organization Culture ◽  
Management Style ◽  
Diagnostic Methods ◽  
Stepwise Multiple Regression ◽  
Organizational Changes ◽  
Study Objective ◽  
The Impact

Introduction and study objective: the requirement to create an effective system of enterprise’s innovation development brings forward issues of theory and methodology, including specifics of necessary organizational changes and cooperation within the company including management –employees’ interaction. Thus, scientific ground for solution to these problems will facilitate the creation of organizational structures for efficiently functioning enterprises.Hypothesis of scientific research. It is often assumed that the choice of effective and required methods of the enterprise’s adjustment to the market environment would allow to systematize the organizational changes enabling performance increase of its economic activity.The purpose of this study is theoretical and methodological justification of concept approaches and methods in organization change management of enterprise structures and functions during its adjustment to the conditions of economic environment.Research methodology: application of the system analysis justifies 5 sets of hypothetical relations linking perceived power with perceived behavior of reward and penalty.Furthermore, two-dimensional correlation, stepwise multiple regression and hierarchical multiple regression analysis help to construct a model of relevant organizational changes.Results achieved: diagnostic methods were developed that determine external and internal conditions of the enterprise in order to choose the right change strategy; the methodology of evolution analysis of change efficiency was proposed. Additionally, high-quality econometric models were created for assessment of the impact of changes based on the enterprise’s performance.Conclusions: the proposed approach to justification of organizational changes enables the implication of methods designed to analyze the need for restructuring of organization culture, management style, employees’ relations and takes into account specifics of hierarchical structure in a developing organization. Furthermore, new methods were developed to assess the effectiveness of management system at an industrial enterprise, including introduction of changes and their dynamics’ assessment.

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