1 / 41

Reliability and Validity: Understanding Measurement Consistency and Truthfulness

This chapter discusses the concepts of reliability and validity in measurement, including how to assess consistency and repeatability of scores, as well as the truthfulness and objectivity of measurement. Topics include inter-rater reliability, observed, error, and true scores, and different types of validity. The chapter also explores factors that can affect test reliability and methods for obtaining a criterion measure. The importance of understanding and interpreting correlation coefficients is highlighted, along with the concepts of scatterplots and prediction lines.

cayala
Download Presentation

Reliability and Validity: Understanding Measurement Consistency and Truthfulness

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter 6 Norm-Referenced Reliability and Validity

  2. Topics for Discussion ReliabilityConsistency Repeatability ValidityTruthfulness ObjectivityInter-rater reliability

  3. Observed, Error, and True Scores Observed Score = True Score + Error Score

  4. Reliability Reliability is that proportion of observed score variance that is true score variance.

  5. Table 6.1 Systolic Blood Pressure Recordings for 10 Subjects Subject Observed BP = True BP + Error BP 1 103 105 -2 2 117 115 +2 3 116 120 -4 4 123 125 -2 5 127 125 +2 6 125 125 0 7 135 125 +10 8 126 130 -4 9 133 135 -2 10 145 145 0 Sum (S) 1250 1250 0 Mean (M) 125.0 125.0 0 Std. Dev. (s) 11.6 10.8 4.1 Variance (s2) 133.6= 116.7+ 16.9

  6. Interclass Reliability Pearson Product Moment Test retest Equivalence Split halves Form A Odd Form B Even Trial 1 Trial 2

  7. Table 6.2 Sit-up Performance for 10 Subjects Subject Trial 1 Trial 2 1 45 49 2 38 36 3 54 50 4 38 38 5 47 49 6 39 38 7 39 43 8 42 43 9 29 30 10 42 42 Sum (S) 413 418 Mean (M) 41.3 41.8 Std. Dev (s) 6.6 6.5 Variance (s2) 43.6 41.7 rxx’ = .927

  8. Spearman Brown Prophecy Formula k = the number of items I WANT to estimate the reliability for divided by the number of items I HAVE reliability for

  9. Table 6.3 Odd-Even Scores for 10 Subjects Subject Odd Even 1 12 13 2 9 11 3 10 8 4 9 6 5 11 8 6 7 10 7 9 9 8 12 10 9 5 4 10 8 7 Sum (S) 92 86 Mean (M) 9.2 8.6 Std. Dev (s) 2.2 2.6 Variance (s2) 4.8 6.7 rxx’ = .639

  10. K (change in test length) r11.25 .50 1.5 2.0 3.0 4.0 5.0 .10 .03 .05 .14 .18 .25 .31 .36 .22 .07 .12 .30 .36 .46 .53 .59 .40 .14 .25 .50 .57 .67 .73 .77 .50 .20 .33 .60 .67 .75 .80 .83 .60 .27 .43 .69 .75 .82 .86 .88 .68 .35 .52 .76 .81 .86 .89 .91 .80 .50 .67 .86 .89 .92 .94 .95 .92 .74 .85 .95 .96 .97 .98 .98 .96 .86 .92 .97 .98 .99 .99 .99 Table 6.4 Values of rkk From Spearman-Brown Prophecy Formula

  11. Table 6.5 Effect of a Constant Change in Measures Subject Trial 1 Trial 2 1 15 25 2 17 27 3 10 20 4 20 30 5 23 33 6 26 36 7 27 37 8 30 40 9 32 42 10 33 43 Sum (S) 233 333 Mean (M) 23.3 33.3 Std. Dev. (s) 7.7 7.7 Variance (s2) 59.1 59.1 rxx’ = 1.00

  12. Intraclass Reliability ANOVA Model Cronbach's Alpha Coefficient Alpha Coefficient

  13. Intraclass (ANOVA) ReliabilitiesCommon terms you will encounter Alpha reliability Kuder Richardson Formula 20 (KR20) Kuder-Richardson Formula 21 (KR21) ANOVA reliabilities

  14. Table 6.6 Calculating the Alpha Coefficient Subject Trial 1 Trial 2 Trial 3 Total 1 3 5 3 11 2 2 2 2 6 3 6 5 3 14 4 5 3 5 13 5 3 4 4 11 SX 19 19 17 55 SX2 83 79 63 643 s22.70 1.70 1.30 9.50

  15. Calculating the Alpha Coefficient

  16. Index of Reliability The theoretical correlation between observed scores and true scores

  17. Standard Error of Measurement Reflects the degree to which a person's observed score fluctuates as a result of errors of measurement

  18. Factors Affecting Test Reliability 1) Fatigue 2) Practice 3) Subject variability 4) Time between testing 5) Circumstances surrounding the testing periods 6) Appropriate difficulty for testing subjects 7) Precision of measurement 8) Environmental conditions

  19. Decline in Reliability for the Harvard Alumni Activity Survey as the Time Between Testing Periods Increases Months Between Test-Retest

  20. Validity Types Content-related validity Criterion-related validity Statistical or correlational Concurrent Predictive Construct-related validity

  21. Standard Error of Estimate Standard error Standard error of prediction

  22. SE of Measurement SE of Estimate Standard Errors

  23. Methods of Obtaining a Criterion Measure Actual participation e.g., golf, archery Perform the criterion Known valid criterion (e.g., treadmill performance) Expert judges Panel judges Tournament participation Round robin Known valid test

  24. What are these? Concurrent Validity coefficients Table 6.7 Correlation Matrix for Development of a Golf Skills Test (From Green et al., 1987)

  25. Table 6.8 Concurrent Validity Coefficients for Golf Test 2-item battery Middle distance shot Pitch shot .72 3-item battery Middle distance shot Pitch shot Long putt .76 4-item battery Middle distance shot Pitch shot Long putt Chip shot .77

  26. Figure 6.1 Diagram of Validity and Reliability Terms

  27. Interpreting the “r” you obtain Interpreting the “r” You Obtain

  28. Various Correlations

  29. What are these? Concurrent Validity coefficients Interpret These Correlations Criterion

  30. What are these? Interpret These Correlations Reliability coefficients

  31. What is this? Interpret These Correlations Objectivity coefficient

  32. Scatterplot Line of identity Prediction line Two trials of Leg Press

  33. Correlation Two trials of Leg Press

  34. Concurrent Validity This square represents variance in performance in a skill (e.g., golf)

  35. Concurrent Validity The different colors and patterns represent different parts of a skills test battery to measure the criterion (e.g., golf)

  36. Concurrent Validity Error The orange color represents ERROR or unexplained variance in the criterion (e.g., golf)

  37. A B C D Concurrent Validity Consider the concurrent validity of the above 4 possible skills test batteries

  38. D—it has the MOST error and requires 4 tests to be administered A B C D Concurrent Validity Which test battery would you be LEAST likely to use? Why?

  39. C—it has the LEAST error but it requires 3 tests to be administered A B C D Concurrent Validity Which test battery would you be MOST likely to use? Why?

  40. A or B—requires 1 or 2 tests to be administered but you lose some validity A B C D Concurrent Validity Which test battery would you use if you are limited in time?

  41. PASW Examples

More Related