Ho1: mAB = mAB
Ho2: Achievement scores for low MA students will not differ significantly from high MA scores.
Ho2: mAL = mAH
Ho3: Scores will not differ because of teaching method.
Ho3: mBD = mBE
The a level was not pre-stated. The ANOVA F-ratio was significant at the p < .01 level for anxiety effect and .01 for interaction between method and anxiety level.
N = 81 Sample was pooled after preliminary analysis revealed non-significant college effect.
Discovery Method:
Expository Method:
Dependent: Test achievement
measured by the MA test.
5. Instrument, briefly
comment on reliability and validity
Three instruments were used:
The Mathematics Anxiety Rating Scale (MARS) to rate level of anxiety; the University of California and California State University (UC/CSU) Mathematics Test to assess the computational knowledge of each student and to determine the equality of the two subject pools; and the MAT to test the students on course content at the end of the course.
The reliability and validity of the MARS was well-documented by the researcher. The internal consistency was reported as having an alpha of .97 from a study done by Richardson and Suinn (1972). Validity was established through comparisons with other anxiety measures resulting in Pearson r's ranging from .68 to .80.
The UC/CSU Mathematics Test was substantiated with a .71 correlation done by Mattison (1982) and a Kuder-Richardson K-R 21 estimate of .87 for reliability.
The MAT was developed by the researcher. It had been used in two previous quarters and K-R 20 reliability estimates were reported as .89 and .90. The content validity was sufficiently established in a description of the researcher's method for creating the test.
6. Procedure
At the beginning of the semester each student took the MARS. The students were then rank ordered according to their MARS scores and randomly assigned to one of the two treatment groups. The UC/CSU was then administered to all students. The researcher was also the instructor and she presented the same treatments to both schools: one expository and one discovery at each school. Identical objectives and topics were used for each group. A Survey of Mathematics was the textbook used. The instructional time was 3 hours a week for 10 weeks. Attendance counted for 15% of the students' final grade; thus absences were at a minimum - no one dropped the course. A 3-hour final exam was administered to all students at the end of the semester. Each treatment was implemented according to established procedures for the teaching method.
7. Statistical Analysis and Conclusions
In the beginning t tests were done to compare each treatment group within each level of anxiety at each college. None of the differences were statistically significant at the p < .05 level so the results from the two groups were pooled.
A factorial analysis of variance was done on the results. A significant anxiety effect was found, F (2,69) = 10.11, p < .01 revealing that students with high MA had lover achievement than students w low MA. The difference between methods was not significant, but there was a significant interaction between method and anxiety level, F (2,69) = 4.96, p < .01. Students with low or medium MA scored higher with the discovery method.
A second ANOVA was done to see if results changed when low cognitive level items on the MAT were scored separately from high level items. The ANOVA on level items supported the original findings. The ANOVA on high level items revealed a significant main effect for method, a significant main effect for anxiety, and no significant interaction.
8. If you were the researcher, how would you improve the study?
Overall, I thought the study was well done. However, the study might have been improved by:
b. providing a clearer discussion in the results section of why low cognitive level questions were separated from high cognitive questions and the results reanalyzed by separate ANOVAs. None of the original hypotheses speculated on this aspect of the study, thus the intention of the author remains unclear.
c. administering a pre-achievement test to measure change in achievement.
d. controlling for biases that may have occurred by the researcher also acting as instructor in each of the treatments.
e. explaining clearly how unequal cell sizes were accounted for in data analysis.