Organizing test scores for statistical analysis
- 1. CHAPTER 11 ORGANIZING TEST SCORES FOR STATISTICAL ANALYSIS Reported by : Ronalyn J. Bueza BSEdIII-English Acknowledgement: Measuring and Evaluating Leaning Outcomes By: Carlito D. Garcia Ed.D
- 2. Test scores have to be organized first before they can be subjected to statistical analysis. Through the organizational of test scores, teachers can discover existing patterns. This chapter centers on the following ways of organizing test scores: ordering, ranking, and the use of frequency, distribution and the stem –and-leaf plot.
- 3. Ordering refers to the numerical arrangement of numerical observation s or measurements (Gordon & Gordon, 1994). There are two ways by which test scores can be numerically arranged.: (1) ascending order; and (2) descending order. ORGANIZING TEST SCORES BY ORDERING •ASCENDING ORDER – arranged from lowest to highest •DESCENDING ORDER – arranged from highest to lowest
- 4. ORGANIZING TEST SCORES BY RANKING Ranking is another way by which test scores can be organized. According to Calderon and Gonzales, it is a process of determining the relative position of scores, measures or value based on magnitude, worth, quality or importance. To rank test scores, the following steps should be observed.
- 5. 1.Arrange the scores from highest to lowest. 2.Assign serial numbers for each score. The last serial number has to be correspond to the total number of scores, arranged in descending order. 3.Assign the rank of one to the highest score and the lowest rank to the lowest score. Thus if there are 10 scores, the lowest rank is 10. 4.In case there are ties, get the average of the serial numbers of the tied scores. This can be done based on the following formula: In case there are ties, get the average of the serial numbers of the tied scores. This can be done based on the following formula:
- 6. Where: R = Rank SN1 = Serial Number of the Score SN2= Serial number of the second score SN3 = Other serial number NTS= Number of the tied scores
- 7. Acknowledgement: Measuring and Evaluating Leaning Outcomes By: Carlito D. Garcia Ed.D