A TECHNICAL REPORT ON LINKING TALIS 2013 AND PISA 2012: DEVELOPING A MULTI-LEVEL PERSPECTIVE ON THE STUDENT, TEACHER AND SCHOOL-LEVEL VARIABLES RELATED TO MATHEMATICS ACHIEVEMENT

2020 ◽  
Author(s):  
Xin Liu ◽  
Martin Valcke ◽  
Kajsa Yang Hansen ◽  
Jan De Neve
Keyword(s):  
Mathematics Achievement ◽  
Student Teacher ◽  
School Level ◽  
Pisa 2012 ◽  
Technical Report ◽  
Multi Level

scholarly journals PISA 2012 mathematics literacy in Serbia: A multilevel analysis of students and schools

Psihologija ◽  
2018 ◽  
Vol 51 (4) ◽  
pp. 413-432 ◽  
Author(s):  
Ljiljana Lazarevic ◽  
Ana Orlic
Keyword(s):  
Mathematics Anxiety ◽  
Teaching Quality ◽  
Mathematics Performance ◽  
Math Performance ◽  
School Level ◽  
Direct Effects ◽  
Pisa 2012 ◽  
Mathematics Literacy ◽  
Multi Level ◽  
The Relationship

In PISA 2012 cycle, the focus was on the mathematics literacy. Data collected in PISA survey in Serbia on 4684 respondents show that students on average have significantly lower performance compared to average OECD performance. The aim of the study was to explore student (variables at the first level) and school level predictors (variables at the second level) of the PISA mathematics literacy using multi-level modelling. The most important finding is that student and school level variables are explaining variability in PISA mathematics performance almost equally. Results show that on the student level, significant predictors are gender, noncognitive characteristics (mathematics anxiety, mathematics self-efficacy, mathematics self-concept, openness for problem-solving), student perceived teaching quality and studying habits. Results also indicate that several school-level variables have direct effects on the PISA math performance and that several school-level variables moderate the relationship between student characteristics and PISA performance.

scholarly journals Examining the Effects of Students and School Variables on PISA 2012 Problem-Solving Achievement in Turkey

2017 ◽  
Vol 2 (5) ◽  
Author(s):  
Emine Yavuz ◽  
Hakan Yavuz Atar
Keyword(s):  
Problem Solving ◽  
Hierarchical Linear Modeling ◽  
School Attendance ◽  
Hierarchical Linear Model ◽  
School Level ◽  
School Type ◽  
Achievement Scores ◽  
Linear Modeling ◽  
Problem Solving Skills ◽  
Pisa 2012

Problem-solving skills are very important in ensuring effective participation in public life regard and schools play an important role in helping students develop problem-solving skills. The purpose of this study is to determine the student and school level variables that effect students’ problem solving skills using a two-level Hierarchical Linear Modeling (HLM). The data in this study is belongs to 4848 students in 170 schools who participated PISA 2012. Gender, school attendance, openness to problem-solving and perseverance to reach solution variables constituted the student level variables whereas school type, educational resources, dropout rates and student/math teacher ratio variables constituted the school level variables. The findings indicated that all the variables but openness and perseverance have statistically significant effect on students’ PISA 2012 problem-solving achievement scores. The results of the analysis indicate that 54 percent of the variability in the problem-solving achievement scores is attributed to the differences between the mean achievement of the schools. Keywords: PISA; Problem solving; School effect; Two-level Hierarchical Linear Model (HLM) 

School variation in offending: A macro-level strain approach

2018 ◽  
Vol 17 (6) ◽  
pp. 701-722
Author(s):  
Julia Sandahl
Keyword(s):  
School Level ◽  
Macro Level ◽  
Special Focus ◽  
Confounding Effect ◽  
Individual Level ◽  
Violent Offending ◽  
Level Data ◽  
Multi Level ◽  
The Relationship ◽  
The City

This study employs Macro-level Strain Theory (MST) as a framework to provide a better understanding of the way in which the structural and social context of Stockholm schools covaries with self-reported violent and general offending. The findings contribute to the literature in this area by directing a special focus at the interplay between the theory’s macro-level components and some individual-level mechanisms that may be assumed to condition the effect of strain on offending. Using multi-level data on 4789 students nested in 82 schools (violent offending) and 4643 students nested in 83 schools (general offending) in the City of Stockholm, the study notes significant contextual effects of anger, meaninglessness and life dissatisfaction on offending. School-level deprivation appears to have a confounding effect on the relationship between school-contextual negative affect and offending. Further, school-contextual anger influences some individuals more than others. Implications of these findings are discussed.

scholarly journals Meta-analysis of the relationship between mathematics anxiety and mathematics achievement

2016 ◽  
Vol 6 (3) ◽  
pp. 371-392 ◽  
Author(s):  
Süleyman Nihat Şad ◽  
Ali Kış ◽  
Mustafa Demir ◽  
Niyazi Özer
Keyword(s):  
Middle School ◽  
Mathematics Achievement ◽  
Effect Size ◽  
Mathematics Anxiety ◽  
Meta Analysis ◽  
Moderate Level ◽  
Combined Effect ◽  
School Level ◽  
And Mathematics ◽  
Middle School Level

This meta-analysis study aims to synthesize the results of individual studies on respectively small samples investigating the correlations between Mathematics anxiety and Mathematics achievement. Meta-analysis included a total of 11 studies which investigated the association between Mathematics anxiety and Mathematics achievement on Turkish students which were published between 2005 and 2014. These studies were conducted totally on 8327 students from different educational stages. The results of the analysis for all eleven studies involved suggested negative and statistically significant correlations between mathematics anxiety and mathematics achievement. The combined effect size was calculated for all studies according to both Fixed (r=-.39) and Random (r=-.44) Effect Models. Moderator analysis based on the school level revealed that the combined effect size for the studies conducted at middle school level was significant, negative and at moderate level. In addition, the effect size for the studies conducted at high school level was significant, negative and at moderate level. Moreover, the comparison between the combined effect sizes with regard to different school levels revealed a statistically significant difference in favor of middle school level.

scholarly journals Analisis Regresi Ordinal Model Logit untuk Mengidentifikasi Faktor yang Mempengaruhi Indeks Pembangunan Manusia

2019 ◽  
Vol 8 (2) ◽  
pp. 174
Author(s):  
Yonita Dyah Puji Dwiningtias ◽  
Mahmudah Mahmudah
Keyword(s):  
High School ◽  
Human Development ◽  
Unemployment Rate ◽  
Student Teacher ◽  
Logit Model ◽  
Local Governments ◽  
Human Life ◽  
Ordinal Regression ◽  
School Level ◽  
High School Level

The Human Development Index (HDI) is an index used to determine the level of quality of human life. HDI became a trend because all local governments are competing to increase the value of their regional HDI. This study aims to identify the factors that influence the HDI of districts/cities in East Java Province in 2017 using the logit model ordinal regression approach. This type of research is a non reactive study using secondary data from the Central Statistics Agency and the East Java Province Health Office in 2017. The study population is all districts/cities of East Java Province. The total research analysis unit was 38 districts/cities. The dependent variable of the study is low, medium, high and very high HDI. The independent variable of the study is the percentage of households behaving clean and healthy, student-teacher ratio (high school level) and open unemployment rate. The results of the analysis using the logit model ordinal regression test (α = 5%) prove there is an influence between the open unemployment rate variable (p = 0.006; β = 0.790) on the HDI. The variable percentage of households behaving clean and healthy and student-teacher ratio (high school level) has no effect on HDI. Both central and regional governments are expected to be able to improve human development in all sectors, especially health, education and the economy.

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