Midterm Exam Stuff

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University of Alberta
Physical Education and Sport
Adrian Popescu

Midterm exam stuff Oct 10 • Classify motor skill in 2 ways • Skill performance • Quality of movement • Info processing model • Using RT as a mean of measuring whats going on in the info processing system • RT is a measurement of processing • Stages of processing – aren’t overlapping • Info flows in a single direction • Factors influencing RT: • CRT has a linear relation with S-R pairs • The longer the CRt, the more S-R pairs • Chapters 1,2,3 (first part) and 6 • Know lecture material and textbook • 95% lecture 5% book • MC, TF, matching, fill in blanks, diagrams (reading and interpretation) Chap 1 • Concept of motor skill • Motor skill – a skill for which the primary determinant of success is the quality of the movement 1.) As motor task (classifying) 2.) As performance features Classification systems • Discrete-serial-continuous • Motor-cognitive • Open-closed • Fine-gross • Capturing the context • Gentile 2-dimensional skill classification system Skill as Performance Proficiency 1.) Maximum certainity of achieving goal • Consistency • Reproductibility 2.) Minim energy expended • Limit unwanted or unnecessary movement 3.) Minimum movement time • Increased speed of movement Sitauation based Approach • Context in which performance and learning takes place (ecological task analysis) • Task – what • Individual – who • Environmental – where • Unique interaction between elements Chapt 6: individual differences and motor abilities Facts and Research • Individual differences – variance in motor performance (ex. Body type, fitness level; abilities) • Experimental approach – determine average behaviour (groups of people) • Differential approach – deviation from the group norm ( relation between abilities and skill) • Norm – referenced tests • Criterion – referenced tests Correlation • Form – only linear form considered • Direction: “+” variables move in same direction vs. “-“ • Degree of relationship o Inexistent when r = 0 or the relation isn’t linear Explained and Unexplained Variance • Explained Variance: variance in one variable explained by variance in the other variable; coefficient of determination – r^2 (as %) • Unexplained variance: what remains unexplained k^2 = 1 – r^2 • Linear regression equation: performance = a +b (ability) + error Abilities vs. Skills • Abilit
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