The Effect of Residence Area on Motor Skill Development among Children

This study attempts to apply multidimensional analysis for assessing the profile of male youth in sports talent identification program. Data of anthropometric and physical fitness included power, agility, speeds, flexibility, strength and endurance were obtained from 600 youth in a sports talent identification program aged 13-15 years. Data analyses were carried out using multivariate analysis cluster analysis (CA) and discriminant analysis (DA). Cluster analysis assigned three groups with different profile. While standard mode of DA demonstrated 90.0% accuracy of classification matrix for the assigned groups with nine discriminated variables. Forward and backward stepwise DA discriminated six variables from nine variables with 90.3% level of accuracy. The variables are weight, sitting height, armspan, 20 meter run, 40 meter run and VO2 max. These selected variables of anthropometric and fitness are, therefore, revealed as the essential attributes those must be prioritized for a talent scouting in sports. Present results had demonstrated multidimensional analysis as comprehensive approach capable of providing an information that could help coaches in decision making during youth selection in sports talent identification

Section: Discussionsupporting

confidence: 91%

Applied Multidimensional Analysis for Assessing Youth Performance in Sports Talent Identification Program

2019

“…The result obtained from the current study implies that weight, height, sitting height, armspan, 10 meter run, 20 meter run, 40 meter run, predicted VO2 max and sit and reach were significant variables were highly contributed in fitness youth performance. Current finding concordance to the previous study that emphasized anthropometric component and physical fitness were contributed high variation regarding the performance of sedentary youth [30,31]. The first component from PCA has revealed physical fitness of power, speed and endurance as major physical fitness must be prioritized when assessing current performance of youth.…”

Section: Discussionsupporting

confidence: 88%

Determining Youth Profile using Principle Component Analysis for Identifying Talent in Sports

2019

This study attempts to determine youth profile in sports talent identification program. Data of anthropometric and physical fitness included power, agility, speeds, flexibility, strength and endurance were obtained from 600 participants in a sports talent identification program aged 13-15 years. Data analyses were carried out using multivariate analysis of principal component analysis (PCA). PCA revealed three principal components with 71.5% total variation for this studied group. The first component consists of high factor loading in speed variables (10 meter run, 20 meter run, 40 meter run) and endurance (predicted VO₂ max). The second component was constituted by anthropometric variables (weight, height, sitting height and armspan). While third component contains flexibility variable (sit and reach). These selected variables of anthropometric and fitness are, therefore, revealed as the essential attributes those must be prioritized for a talent scouting in sports. Present results had demonstrated youth profile that capable of providing an information that could help coaches in decision making during athlete selection in sports talent identification.

“…Reprocessing data: A matrix set of youth contains 3452 matrices data (4 variables × 863 youth) were computed in this study. For matrices that have very small amounts of data lost (~ 3%) than the overall data recorded, the nearest neighboring method can be used [7]- [9]. This method examines the distance between each point and its nearest point [10].…”

Section: Discussionmentioning

confidence: 99%

Research on Male and Female Youth Perceptions on the Use of Pornographic Displays in Social Media

2019

The internet is one of the basic needs of everyone's life. The internet can be easily accessed anywhere with the uses of smartphones in which people can obtain any information and current news by the fingertip. Pornography is estimated to be one of the most frequent search topics on the Internet. This research is being conducted through a quantitative method which is a surveying method that uses a questionnaire that includes a profile of sexual behavior and using the Pornography Consumption Inventory (PCI) questionnaire. This questionnaire was distributed to 1340 respondent that come from the youth of man and woman between age 15 until 40 in Malaysia. The research use Z-test analysis method which is N=421 for male and N=919 for female. The outcome of this research that was being analysed using Z-test show a significant difference of mean score from four factors which are Sexual Curiosity (SC), Emotional Avoidance (EA), Excitement Seeking (ES), and Sexual Pleasure (SP) between gender. Based on the Ztest, the p-value of all factors is <0.0001 which is less than 0.05.