A Collection of A-Optimal Designs for Control-Test Treatment Comparisons. I.

The purpose of this study was to investigate the significant effect of using comic strips strategy toward students’ reading comprehension and writing ability at MTsN 1 Pekanbaru. A Quasi-Experimental by Non-equivalent Pre-test and Post-test Group was applied as a designed for study. The sample was two classes (VIII 3 and VIII 4) consisting 20 students of treatment class, and 20 students of control class. The data were computed using SPPS 20.0 to analyze Independent sample t-test and Paired sample t-test. The finding of this study revealed that there was a significant effect on students’ reading comprehension by using comic strips strategy, it shown on paired sample t-test; treatment class was 77 and control class was 64.5, the hypothesis testing showed the result of post T-test -7.149, then score of sig.(2-tailed) is 0.000, if we act to null hypothesis (Ho) that is 0.05, it means that the score of sig.(2-tailed) was smaller than score of Ho. The data also revealed that there was a significant effect on students’ writing ability, it shown on paired sample t-test; treatment class was 79.6 and control class was 54.2, the hypothesis testing showed the result of post T-test -21.9, then score of sig.(2-tailed) is 0.000, if we act to null hypothesis (Ho) that is 0.05, it means that the score of sig.(2-tailed) was smaller than score of Ho. Therefore, the null hypothesis was rejected and the alternative hypothesis was accepted. From those data it can be summarized that there is a significant effect of using comic strips strategy on students’ reading comprehension and writing ability.

Download Full-text

LOCUS OF CONTROL, TEST ANXIETY, ACADEMIC PROCRASTINATION, AND ACHIEVEMENT AMONG COLLEGE STUDENTS

Psychological Reports ◽

10.2466/pr0.95.6.581-582 ◽

2004 ◽

Vol 95 (6) ◽

pp. 581 ◽

Cited By ~ 1

Author(s):

RANDY GARDEN

Keyword(s):

College Students ◽

Locus Of Control ◽

Test Anxiety ◽

Academic Procrastination ◽

Control Test

Download Full-text

Q-optimal experimental designs and close to them experimental designs for polynomial regression on the interval

Industrial laboratory Diagnostics of materials ◽

10.26896/1028-6861-2020-86-5-65-72 ◽

2020 ◽

Vol 86 (5) ◽

pp. 65-72

Author(s):

Yu. D. Grigoriev

Keyword(s):

Optimal Design ◽

Polynomial Regression ◽

Direct Consequence ◽

Experimental Designs ◽

Optimal Designs ◽

Software Systems ◽

General Character ◽

Support Points ◽

Optimal Weights ◽

Universal Expression

The problem of constructing Q-optimal experimental designs for polynomial regression on the interval [–1, 1] is considered. It is shown that well-known Malyutov – Fedorov designs using D-optimal designs (so-called Legendre spectrum) are other than Q-optimal designs. This statement is a direct consequence of Shabados remark which disproved the Erdős hypothesis that the spectrum (support points) of saturated D-optimal designs for polynomial regression on a segment appeared to be support points of saturated Q-optimal designs. We present a saturated exact Q-optimal design for polynomial regression with s = 3 which proves the Shabados notion and then extend this statement to approximate designs. It is shown that when s = 3, 4 the Malyutov – Fedorov theorem on approximate Q-optimal design is also incorrect, though it still stands for s = 1, 2. The Malyutov – Fedorov designs with Legendre spectrum are considered from the standpoint of their proximity to Q-optimal designs. Case studies revealed that they are close enough for small degrees s of polynomial regression. A universal expression for Q-optimal distribution of the weights pi for support points xi for an arbitrary spectrum is derived. The expression is used to tabulate the distribution of weights for Malyutov – Fedorov designs at s = 3, ..., 6. The general character of the obtained expression is noted for Q-optimal weights with A-optimal weight distribution (Pukelsheim distribution) for the same problem statement. In conclusion a brief recommendation on the numerical construction of Q-optimal designs is given. It is noted that in this case in addition to conventional numerical methods some software systems of symbolic computations using methods of resultants and elimination theory can be successfully applied. The examples of Q-optimal designs considered in the paper are constructed using precisely these methods.

Download Full-text

Suggestopedia method as an effective method in teaching reading comprehension for senior high school

International Journal on Integrated Education ◽

10.31149/ijie.v3i1.288 ◽

2020 ◽

Vol 3 (1) ◽

pp. 98-101

Author(s):

Deavy Safitri Murfita ◽

Dian Novita

Keyword(s):

Reading Comprehension ◽

Data Analysis ◽

Null Hypothesis ◽

Quantitative Research ◽

Alternative Hypothesis ◽

Teaching Reading ◽

Program Calculation ◽

Post Test ◽

Main Activity ◽

Test Treatment

This research is to know is there is significant effect in reading comprehension achievement in X grade at SMK Walisongo 1 Gempol, being taught by suggestopedia method. This research uses quantitative research. The research’s object is X AK-2 of SMK Walisongo 1 Gempol has 28 students. The researcher divides the main activity into pre-test, treatment and post-test. Based on the SPSS 23 Program calculation from mean result of pre-test 70.1 and the result mean of post-test is 83.5. The students’ score is increasing after being given by the treatment. The result of the calculation of this research showed that (sig 2-tailed = 0.002) which is less from (<) 0.05 and significance 5%. It mean that the alternative hypothesis is accepted and the null hypothesis is rejected. From the result of the data analysis above, the use suggestopedia method gives significant effect in students’ reading comprehension achievement This article investigates major points of the speech verbs. On this case, different meaning of verbs was analyzed from Russian into English. Therefore, analyses of the theory with methodology were described to make better diffusion. To conclude with both outcomes and shortcomings were outlined to get further analyses as the whole.

Download Full-text