Correlates of achievement in differential calculus of engineering students of Adamson University / (Record no. 35367)

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-- Correlates of achievement in differential calculus of engineering students of Adamson University /
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Dimensions 28 cm.
Extent 87 pages
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-- Thesis (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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521 ## - TARGET AUDIENCE NOTE
Target audience note This 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 ## - SUPPLEMENT NOTE
Supplement note Specifically, this study attempted to answer the following questions:
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note What is the performance of the students in
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Physical description of reproduction Differential Calculus;
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Text of note High School Mathematics;
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System details note University entrance examination score;
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Authorization College Algebra and Plane Trigonometry;
542 ## - INFORMATION RELATING TO COPYRIGHT STATUS
Copyright date The attitude inventory?
546 ## - LANGUAGE NOTE
Language note What relationship exists between student's performance in Differential Calculus and each of the following independent variables?
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Issuing body note Average grade in high school mathematics;
555 ## - CUMULATIVE INDEX/FINDING AIDS NOTE
Cumulative index/finding aids note University entrance examination score;
580 ## - LINKING ENTRY COMPLEXITY NOTE
Linking entry complexity note The text anxiety scale;
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Institution to which field applies The attitude towards mathematics.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Which of the following independent variables, are predictors of achievement in Differential Calculus?
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Local note High school mathematics;
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-- University entrance examination score;
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-- College Algebra and Plane Trigonometry;
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-- The test anxiety scale;
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Numeration The attitude inventory. RESEARH METHOD
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Subordinate unit In 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
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Meeting name or jurisdiction name as entry element From 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.
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General subdivision After 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 ## - SUBJECT ADDED ENTRY--CHRONOLOGICAL TERM
Source of heading or term This study made use of the following inventories:
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
General subdivision Measure 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 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
General subdivision Attitude 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 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term This study considered independent or predictor variables which consists of the following scores coded as:
655 ## - INDEX TERM--GENRE/FORM
Authority record control number or standard number High School Math Average Grade
700 ## - ADDED ENTRY--PERSONAL NAME
Relationship information X1
710 ## - ADDED ENTRY--CORPORATE NAME
Subordinate unit University Entrance Examination Score
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Version Final Grade in College Algebra
753 ## - SYSTEM DETAILS ACCESS TO COMPUTER FILES
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767 ## - TRANSLATION ENTRY
Title Final Grade in Plane Trigonometry
770 ## - SUPPLEMENT/SPECIAL ISSUE ENTRY
Title X4 Test Anxiety
776 ## - ADDITIONAL PHYSICAL FORM ENTRY
Uniform title X5 Attitudes toward Math
787 ## - OTHER RELATIONSHIP ENTRY
International Standard Serial Number X6 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
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Personal name To 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)
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Corporate name or jurisdiction name as entry element r = √([N Ex2 - (Ex) 2] [ N Ey2 - (Ey) 2]
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