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_aBocato, Nelpha B.
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_aCorrelates of achievement in differential calculus of engineering students of Adamson University /
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_cNelpha B. Bocato.
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_a87 pages
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_aThesis (M.A.) -- Pamantasan ng Lungsod ng Maynila, 1992.;A thesis presented to the faculty of the Graduate School of Arts, Sciences and Education in partial fulfillment of the requirements of the Degree Master of Science in Mathematics Education.
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_aABSTRACT: STATEMENT OF THE PROBLEM
521 _aThis study aimed to determine the predictive value of students' average grade in high school mathematics, University entrance examination score, final grade in College Algebra/Plane Trigonometry, test anxiety and attitude towards mathematics in relation to their achievement in Differential Calculus of freshman engineering students of Adamson University during the school year 1991-1992.
525 _aSpecifically, this study attempted to answer the following questions:
530 _aWhat is the performance of the students in
533 _eDifferential Calculus;
536 _aHigh School Mathematics;
538 _aUniversity entrance examination score;
540 _cCollege Algebra and Plane Trigonometry;
542 _gThe attitude inventory?
546 _aWhat relationship exists between student's performance in Differential Calculus and each of the following independent variables?
550 _aAverage grade in high school mathematics;
555 _aUniversity entrance examination score;
580 _aThe text anxiety scale;
583 _5The attitude towards mathematics.
588 _aWhich of the following independent variables, are predictors of achievement in Differential Calculus?
590 _aHigh school mathematics;
591 _aUniversity entrance examination score;
592 _aCollege Algebra and Plane Trigonometry;
598 _aThe test anxiety scale;
600 _bThe attitude inventory. RESEARH METHOD
610 _bIn this study, the descriptive-statistical method of research with correlational analysis was used. The descriptive method was used since this study in involves present facts or current characteristics of the subjects of the study. However, this include predictive analysis through simple and stepwise regression. A predictive analysis was conducted to find out which of the independent variables can best predict achievement in Differential Calculus. SAMPLES AND SAMPLING PROCEDURE
611 _aFrom the 42 sections in Differential Calculus for the school year 1991-1992 second semester, the students were grouped according to the department they belong: civil, chemical, computer, electrical, industrial and mechanical engineering. The respondents were randomly selected from each department by making use of the table of random digits. Sampling procedures was done by numbering consecutively the students from each department. This digit together with the next two digits on its right side determines the first sample unit, if this digit coincides with one of the numbers assigned to the students. The three digits down the column were then taken and noted if they coincide with any of the numbers assigned to the students until 200 students are selected.
630 _xAfter the samples were chose, the researcher administered two sets of questionnaires, one on test anxiety and the other, on attitude inventory, with the permission of the different teachers concerned to conduct the survey in their respective classes. Then the data on high school mathematics grades of the subjects were gathered from the Registrar's office and their entrance examinations score from the Guidance Center. From the files of the mathematics department the grades in College Algebra, Plane Trigonometry and Differential Calculus were obtained. These data were tabulated for computerization. INSTRUMENTS
648 _2This study made use of the following inventories:
650 _xMeasure of test anxiety was derived from the modified Test Anxiety Scale (TAS) on worry and emotional aspects standardized by L. W. Morris and R. Fulmer
651 _xAttitude Inventory for mathematics is of the Likert type. It consists of 20 positive and 20 negative attitudes towards mathematics. The first 20 statements are found to discern attitude differences in mathematics and the remaining 20 statements comprise the Revised Math Attitude Scale constructed by Aiken (1963). TREATMENT OF DATA
653 _aThis study considered independent or predictor variables which consists of the following scores coded as:
655 _0High School Math Average Grade
700 _iX1
710 _bUniversity Entrance Examination Score
711 _aX2
730 _sFinal Grade in College Algebra
753 _cX3
767 _tFinal Grade in Plane Trigonometry
770 _tX4 Test Anxiety
776 _sX5 Attitudes toward Math
787 _xX6 The criterion measure which is the achievement in Differential Calculus was coded as (y). All computations in this study were done through the use of the computer. Methods of Data Analysis
800 _aTo determine the relationship between the criterion measure and each of the predictor variables, simple correlation by the use of Pearson Product-Moment Formula was employed. N Exy - (Ex) (Ey)
810 _a r = √([N Ex2 - (Ex) 2] [ N Ey2 - (Ey) 2]
830 _xwhere x and y
942 _a- original scores in variable x and y
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