Presentation on theme: "Measurement, Evaluation, Assessment and Statistics"— Presentation transcript:
1 Measurement, Evaluation, Assessment and Statistics
2 Test and Measurement The heart of kinesiology. Why? Test – tool or instrument used to make a measurement.Measurement – score on a test. Quantitative and assigns a number to a performance. (qualitative?)
3 Evaluation and Assessment Eval – interpretation of the measurement. Gives it meaning.Prescribe – correct any deficits.Assessment – the process of measure, eval, identify and prescribe.Skills or health related measures.
7 Reasons for Measurement and Evaluation cont… ClassificationGroup studentsHomogeneous vs heterogeneousControl intensity of exercise or knowledgeAchievementProgression of objectives and studentEffectiveness of programDetermine gradesSubjective vs objective
9 Reasons for Measurement and Evaluation cont… Instruction and programCompare two groups or methodsPredictionFuture performanceResearch (systematic in-depth analysis of a question)Determine gradesSubjective vs objective
12 Statistics Organization and analysis of numerical data. Simple arithmetic and algebra.Must follow the steps.Add, subtract, multiply and divide.
13 Statistics cont… Analyze and interpret data Understand research Provides meaningful evaluationInterprets scores relative to one anotherUnderstand researchProfessional journalsPractice their conclusionsEssential for your continued growth in the fieldDo not believe everything you read.
14 Statistics cont… Standardize scores Determine worth of a test Units differ among testsStandardization allows comparison (SAT)Determine worth of a testValidity and reliabilityContinuumConsider the appropriateness of a test
18 Descriptive Stats Data – result of the test or the scores. Variable – dependent characteristic or what you are measuring.Population – all subjects.Sample – subgroup of the total population.Random sample – everyone has an equal opportunity to be included.
19 Descriptive Stats cont… Statistic – values from a sample.Descriptive – stats describe the sub-group only.Inferential – projections to a larger population.Discrete – whole numbers only.Continuous– broken down by decimal place.
20 ScalesNominal – code scoring with no quality comparison between groups.Ordinal – rank scoring from highest to lowest with no comparison of scores.Interval – no absolute zero but distance between scores is measured.Ratio – absolute zero and measured distance between scores.
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