Discussion of “on State Education Statistics”: A Difficulty with Regression Analyses of Regional Test Score Averages

1985 ◽  
Vol 10 (4) ◽  
pp. 326-333 ◽  
Author(s):  
Paul R. Rosenbaum ◽  
Donald B. Rubin
Keyword(s):  
High School ◽  
Test Scores ◽  
Test Score ◽  
Theoretical Calculations ◽  
Regression Coefficients ◽  
Regression Analyses ◽  
State Education ◽  
Education Statistics ◽  
High School And Beyond

The Department of Education’s table “State Education Statistics” reports mean test scores by state and mean resource inputs by state. The means are calculated from quite different groups of students, a process we call inconsistent aggregation. We investigate the bias in regression coefficients caused by inconsistent aggregation, first using theoretical calculations, and then by artificially aggregating data from the High School and Beyond sample.

Abstract 245: Assessing Patient Knowledge and Satisfaction Following Stroke Video Education

2018 ◽  
Vol 11 (suppl_1) ◽  
Author(s):  
Sarah Tisel ◽  
Abigail Rieman ◽  
Matthew Hodges ◽  
Kelly Gwathmey
Keyword(s):  
High School ◽  
Patient Education ◽  
Knowledge Acquisition ◽  
Preliminary Data ◽  
Test Scores ◽  
Test Score ◽  
Stroke Patients ◽  
Highly Educated ◽  
Video Group ◽  
Video Education

Objective: To create a stroke education video and study its impact in stroke clinic with regards to patient satisfaction and knowledge acquisition. Background: Excellent medical care includes providing patient education, but most clinics do not emphasize this. We are exploring the use of video education in the stroke clinic, as this patient population may particularly benefit from secondary stroke prevention teaching. Methods: Ischemic stroke patients coming for routine hospital follow-up were enrolled and randomized to either watch an educational stroke video or receive standard care. Patients were stratified by education level, with one group having completed high school or less, and the other having completed any post high school training. Both groups took a pre- and post-visit knowledge test as well as a post-visit satisfaction survey. We hypothesized that knowledge acquisition, judged by improvement in test score, and satisfaction scores would both be greater in the video group. Test scores were expected to positively correlate with satisfaction. Results: Forty patients were enrolled to date. Preliminary data demonstrated patients were positive (n=15) or neutral (n=5) about the video. Both groups were highly satisfied with their visit, and a two-tailed t-test demonstrated no difference in satisfaction between groups (p=0.89). A linear regression showed a trend for the highly educated patients in the video group having improved test scores after the visit (p=0.069). Further enrollment of patients is needed to better assess this. In both groups, there was a correlation between post-test scores and satisfaction scores (R=0.37, p=0.03). Conclusions: Based on this preliminary data, stroke patients enjoy video education in clinic. However, as patients in both groups were highly satisfied, it remains unclear whether video education increases overall satisfaction. Highly educated patients may bennefit from video education, but further enrollment will clarify this. A positive correlation between post-visit test score and satisfaction indicates that clinics should prioritize patient education.

An Empirical Study of the Zajonc-Markus Hypothesis for Achievement Test Score Declines

1980 ◽  
Vol 17 (1) ◽  
pp. 5-19 ◽  
Author(s):  
Gerald J. Melican ◽  
Leonard S. Feldt
Keyword(s):  
High School ◽  
Empirical Study ◽  
Test Scores ◽  
Test Score ◽  
Intellectual Development ◽  
School Achievement ◽  
Achievement Test ◽  
High School Achievement ◽  
Child Spacing ◽  
Achievement Test Score

Zajonc has proposed that the decline in high school achievement since 1965 can be explained by the trend from 1947 to 1962 toward larger, closer-spaced families. This deduction is based on the Zajonc-Markus theory relating child spacing to intellectual development. The present study tested this theory with data on students in Iowa high schools. The size of the interval between children was found in selected instances to be related to achievement in families of three or more children, but the results were not consistent for every family size nor from child to child in the birth sequence. Overall, the results raise doubt that population trends in child spacing account for the decline in achievement test scores.

THE CORRELATION BETWEEN STUDENTS READING INTEREST AND THEIR ACADEMIC ACHIEVEMETS ( CASE STUDY IN PL DON BOSKO HIGH SCHOOL SEMARANG)

2020 ◽  
Vol 11 (1) ◽  
pp. 12-20
Author(s):  
Qorinta Shinta
Keyword(s):  
High School ◽  
Test Scores ◽  
Test Score ◽  
Positive Correlation ◽  
Language Tests ◽  
Correlation Learning ◽  
Reading Interest ◽  
Test Result

Abstract Reading is one of many ways to understand science. The interest in reading is an inner encouragement to read, however reading interest does not come naturally instead it must be driven. The research is aimed at oxploring whether there is a correlation between reading interest and learning achievements ( test scores of Indonesian Language ) of Students of PL Don Bosko Semarang. The SPSS test result on the correlation between reading interest and scores of Indonesian Language tests showed sig score 0.012 < 0.05, therefore H0 is refuted. It can be concluded that there is a positive correlation between reading interest and and Test score of Indonesia Language.Key words : Reading, Reading Interest, Correlation, Learning Achivements (Test score)

scholarly journals Common Diagnostic Test Results Over the Years

2016 ◽  
Vol 36 (331) ◽  
pp. 14-18
Author(s):  
Eve Aruvee
Keyword(s):  
High School ◽  
Secondary School ◽  
Strong Correlation ◽  
Test Scores ◽  
Test Score ◽  
School Mathematics ◽  
Test Results ◽  
High School Mathematics ◽  
Weak Correlation ◽  
Mathematics Course

Abstract In this article, common test results over the years 2000 – 2016 are analysed. The test questions for new entrants were based on secondary school mathematics. The students took the test in the first lesson of the higher mathematics course. The test results were analysed by years, by tasks and by specialities, and their differences were found. The test results’ dependence on state-exams score was studied and other types of dependence were looked at. It was found that the test score has a strong correlation with a state-exam but with high school mathematics mark and with later higher mathematics course marks has very weak correlation. During these 16 years, the questions that have been the most difficult for students have not changed. The highest test scores were found among students who had chosen the most popular specialities (with the highest competition).

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