A Study on the School Effect on High School Student’s Economic Literacy : Using Hierarchical Linear Model

2020 ◽  
Vol 27 (2) ◽  
pp. 111-134
Author(s):  
Sangeun Park
Keyword(s):  
High School ◽  
Linear Model ◽  
Hierarchical Linear Model ◽  
Economic Literacy ◽  
School Effect

scholarly journals Multilevel Effects of Student and School Factors on Senior High School Students’ Ocean Literacy

2019 ◽  
Vol 11 (20) ◽  
pp. 5810 ◽  
Author(s):  
Liang-Ting Tsai
Keyword(s):  
High School ◽  
High School Students ◽  
Linear Model ◽  
Hierarchical Linear Model ◽  
Senior High School ◽  
School Level ◽  
School Students ◽  
School Factors ◽  
Ocean Literacy ◽  
Senior High School Students

This study explored the variance in ocean literacy accounted for by student and school levels and examined the influence of these two predictors on senior high school students’ ocean literacy using a hierarchical linear model. Data were collected from 1944 students from 99 schools and used to construct the two-level hierarchical linear model. The results indicated that the variance in ocean literacy accounted for by students was larger than that accounted for by schools; approximately a quarter of the total variance in ocean literacy was accounted for by schools. At the student level, attitude toward the ocean and frequency of reading ocean-themed books or magazines were predictors of ocean literacy, whereas at the school level, school region and location were significant influential factors. This study’s results have significance for policy-making regarding ocean literacy improvement.

scholarly journals Appropriate Thai High School Student Internet Behaviour: A Hierarchical Linear Model Analysis

2017 ◽  
Vol 12 (10) ◽  
pp. 158
Author(s):  
Punnee Leekitchwatana ◽  
Paitoon Pimdee
Keyword(s):  
High School ◽  
High School Students ◽  
Linear Model ◽  
Internet Use ◽  
Statistical Significance ◽  
Hierarchical Linear Model ◽  
School Level ◽  
School Students ◽  
Grade Point ◽  
Predictive Variables

The research used a hierarchical linear model to develop a model to study the variables of appropriate Internet use of 2,400 Thai high school students from 48 high schools. Furthermore, the groups were divided into one group of 1,200 students in science related programs, while the second group of 1,200 students were in a non-science related program. The data collection instrument was a reliability questionnaire which was determined to range between 0.75-0.97. Data were analysed using statistical averages, standard deviation, and analysis of hierarchical linear models (HLM). The research found that Thai high school students have appropriate Internet use behaviour at a very appropriate level, while the HLM of appropriate Internet use behaviour of students contained two predictive variables at both the student level and school level. These included the four student predictive variables of ability, characteristic, family, and student grade point average (GPA). At the school level in the HLM, there were two predictor variables including friends and schools, which had a direct influence and an indirect influence, respectively. There were also six capacity variables having both positive influence and statistical significance.

Hierarchical Linear Model for Investigating Effect of Built Environment on Bus Transit

2020 ◽  
Vol 146 (2) ◽  
pp. 04020010 ◽  
Author(s):  
Liyuan Zhao ◽  
Shuxian Wang ◽  
Jialing Wei ◽  
Zhong-Ren Peng
Keyword(s):  
Built Environment ◽  
Linear Model ◽  
Hierarchical Linear Model ◽  
Bus Transit

Characteristics of Tables for Disseminating Biobehavioral Results

2017 ◽  
Vol 20 (1) ◽  
pp. 70-76
Author(s):  
Barbara St. Pierre Schneider ◽  
Ed Nagelhout ◽  
Du Feng
Keyword(s):  
Linear Model ◽  
Hierarchical Linear Model ◽  
Editorial Staff ◽  
Research Articles ◽  
Biological Research ◽  
Nursing Research ◽  
Hierarchical Generalized Linear Model ◽  
Review Articles ◽  
Journal Editorial ◽  
The Mean

Background: To report the complexity and richness of study variables within biological nursing research, authors often use tables; however, the ease with which consumers understand, synthesize, evaluate, and build upon findings depends partly upon table design. Objectives: To assess and compare table characteristics within research and review articles published in Biological Research for Nursing and Nursing Research. Method: A total of 10 elements in tables from 48 biobehavioral or biological research or review articles were analyzed. To test six hypotheses, a two-level hierarchical linear model was used for each of the continuous table elements, and a two-level hierarchical generalized linear model was used for each of the categorical table elements. Additionally, the inclusion of probability values in statistical tables was examined. Results: The mean number of tables per article was 3. Tables in research articles were more likely to contain quantitative content, while tables in review articles were more likely to contain both quantitative and qualitative content. Tables in research articles had a greater number of rows, columns, and column-heading levels than tables in review articles. More than one half of statistical tables in research articles had a separate probability column or had probability values within the table, whereas approximately one fourth had probability notes. Conclusions: Authors and journal editorial staff may be generating tables that better depict biobehavioral content than those identified in specific style guidelines. However, authors and journal editorial staff may want to consider table design in terms of audience, including alternative visual displays.

A note on Bayes designs for inference using a hierarchical linear model

Biometrika ◽  
1980 ◽  
Vol 67 (3) ◽  
pp. 613-619 ◽  
Author(s):  
A. F. M. SMITH ◽  
I. VERDINELLI
Keyword(s):  
Linear Model ◽  
Hierarchical Linear Model
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