1. SELECTION OF MEASUREMENT INSTRUMENTS Ê Administer a standardized instrument Ë Administer a self developed instrument Ì Record naturally available data (GPA, absenteeism rates) ¹ Measure physical performance data 3 WAYS TO COLLECT DATA

2. Validity The degree that a test measures what it is supposed to measure. Valid for what? Valid for whom?

3. Types of Validity Content validity The test measures the intended content Item validity: Sampling validity: Face (logical) validity: Test items measure intended content Test samples content adequately Test appears to measure what is supposed to

4. Who Determines Validity? NO SET TEST! Researcher determines validity by making a comparison about what should be included and what is included!

5. Types of Validity Construct validity The test measures the intended hypothetical construct Construct- a non-observable trait INTELLIGENCE ANXIETY RATE OF LEARNING RPERPE

6. Types of Validity Concurrent validity Scores on your test are related to scores on a previously administered test e.g., judges ratings and tournament results Steps Administer a VO 2 Max test Administer a treadmill walking test Correlate the two sets of test scores Evaluate the results If correlation is high, VO 2 Max can be substituted

7. Types of Validity PREDICTIVE VALIDITY Test predicts how well an individual will perform in the future Predictive validity of GRE for graduate study Prediction of NTE scores and success as a teacher Prediction of population who will become obese Examples

8. To Determine Predictive Validity Steps Administer the gre Wait until first year gpa is established Correlate two sets of test scores Evaluate the results Determine validity coefficient Interpretation Scores range from 0 to 1 Higher score is better

9. Reliability Consistency of test measurement High test reliability means that when the test is retaken, the same scores would be earned Reliability ranges from 0 to 1

10. How do validity and reliability relate? A valid test is always reliable A reliable test is not always valid Tests with high reliability may not measure what is intended by the researcher

11. Why do tests have low reliability? Errors in the test Failure to follow procedures Student fatigue Inattention to detail Ambiguous questions Familiarity with the test Unclear directions Improper administration Student mood

12. Test-Retest Reliability Scores are consistent over time Steps 1. Administer test to group 2. Administer test again after time has Passed (1 or 2 weeks) 3. Correlate 2 sets of scores Coefficient of Stability

13. Alternate Forms Reliability 1. Administer one test form 2. Administer second form to the same group 3. Correlate 2 sets of scores Coefficient of Equivalence Test A and Test B measure the same traits Steps

14. Split-half Reliability Requires only one administration of the test 1. Administer the total test to group 2. Divide test into 2 comparable halves (odd or even questions) 3. Compute a set of scores for each half 4. Correlate 2 sets of scores 5. Apply Spearman-Brown correction COEFFICIENT OF EQUIVALENCE Steps

15. Spearman-Brown example Spearman-Brown correction- used to predict reliability from 25 item to 50 item test SPLIT-HALF RELIABILITY = O.80 r= 2r split half 1 + r split half r= 2 x (.80) 1.00 +.80 = 1.60 1.80 =.89

16. Rationale Equivalence Reliability Requires only one administration of the test 1. Administer the total test to group 2. Divide test into 2 comparable halves (odd or even questions) 3. Compute a set of scores for each half 4. Correlate 2 sets of scores 5. Apply Spearman-Brown correction COEFFICIENT OF EQUIVALENCE Steps

17. Internal and External Reliability External Reliability Researcher status Choice of subjects Social situations and conditions Analytic constructs Methods of data collection and analysis Internal Reliability Inter-observer agreement All team members trained the same way All team members treat subjects identically For videotape and transcript analysis reliability is established before the experiment begins

18. Scorer/rater Reliability Occurs when subjective scoring of test items is performed Inter-judge reliability - 2 or more scorers rate the tests the same way Intra-judge reliability - same scorer rates each test the same way

19. Reliability Coefficients The closer to 1.0 the better Achievement/aptitude tests – reliability should not be less than 0.9 Subtest reliability should be calculated for tests that have more than one component

20. Standard Error of Measurement Used to express test reliability Small standard error of measurement (SEM) indicates high reliability Interpreted similarly to standard deviaton SE m =SD1 - r

21. Four types of measurement scales Nominal- subjects grouped based on gender, race, fitness level Ordinal- rank comparisons, rank tallest to shortest Interval- supply the order and the distance between sets of scores (used with standard scores) Ratio-used when there are no zero points, IQ of 160 is not twice as smart as an IQ of 80…

22. Standard Scores Z scores M = 0, SD = 1.0 Used to compare and contrast 2 different test scores e.g, push-up and 40 yard dash T scores M = 50, SD = 10 Converts Z scores to all positive measures

23. Measuring Affective Behavior Personality Anxiety Self-esteem Social Behavior RPEs Hey, look no hands.

24. LIKERT High point values on a positive statement indicate A positive attitude. SEMANTIC DIFFERENTIAL NECESSARYUNNECESSARY ______________ FAIRUNFAIR 3210-3-2-1 POSITIVENEGATIVE Types of Scales

25. Personality Tests u Non-projective - uses a self-report instrument u Inventory - yes/no questions u Scale - used to determine what an individual feels or believes u May not be accurate due to societal influences