scholarly journals Investigation of Change in Reading-Math-Science Literacy Scores in PISA Applications with Multivariate-Multilevel Model

2019 ◽  
Keyword(s):  
Multilevel Model ◽  
Science Literacy ◽  
Literacy Scores ◽  
Multivariate Multilevel Model

scholarly journals Examining differences between scores on science literacy skills from the viewpoint of certain indicators: Results of PISA-TurkeyFen okur-yazarlık beceri puanları arasındaki farklılaşmanın bazı göstergeler açısından incelenmesi: PISA-Türkiye bulguları

2018 ◽  
Vol 15 (3) ◽  
pp. 1453
Author(s):  
Elif Buldu ◽  
Refika Olgan
Keyword(s):  
Primary Education ◽  
Science Literacy ◽  
English Summary ◽  
Literacy Skills ◽  
Education Attainment ◽  
Significant Difference ◽  
Socio Economic Variables ◽  
Literacy Scores ◽  
The Relationship ◽  
One Way Anova

The main aim of this study was to investigate the relationship between some quality indicators from 2015 PISA Socio-Economic and Cultural Index (ESCS) and 15 year-old students’ science literacy skills. Accordingly, 5895 students’ science literacy skills scores were analyzed through One-way ANOVA test in terms of student variables (gender, starting pre-primary age), and parents’ socio-economic variables (mother educational attainment, father education attainment). The findings of the study revealed that children who started pre-primary education at 2-3 and 4 year olds have higher science literacy score when compared to the children who started pre-primary education at 5-6 and less than 1 year olds in analysis and the increase of mother and father education level showed statistically significant difference on the science literacy scores in PISA 2015. The results of the study, on each variable basis, provide important implications in terms of improving Turkey’s education vision. Extended English summary is in the end of Full Text PDF (TURKISH) file.ÖzetBu çalışmanın amacı PISA Ekonomik, Sosyal ve Kültürel İndeks’ inden (ESCS) elde edilen değişkenler ile Türkiye PISA 2015 uygulamasına katılan 15 yaşındaki öğrencilerin fen okur-yazarlık beceri puanları arasındaki farklılaşmanın incelenmesidir. Bu doğrultuda 5895 öğrencinin fen okur-yazarlık beceri puanları bireysel değişkenler (cinsiyet, okul öncesi eğitime başlama yaşı) ve ailelerine ait değişkenler (anne eğitim düzeyi, baba eğitim düzeyi) tek yönlü ANOVA testi ile analiz edilmiştir. Bulgular 2-3 ve 4 yaşlarında okul öncesi eğitime başlayan çocukların PISA fen okur-yazarlık becerilerine ait puanlarının 5-6 yaşlarında ve 1 yaşından önce okul öncesi eğitime başlayan çocuklara kıyasla daha iyi olduğunu ve anne-baba eğitim düzeyindeki artışın PISA fen okur-yazarlık beceri puanları üzerinde istatistiksel olarak anlamlı bir fark yarattığını göstermektedir. Çalışma sonuçları, her bir gösterge bazında, Türkiye’de okul öncesi eğitim sisteminin vizyonunun geliştirilmesine yardımcı olabilecek öneriler sunmaktadır.  

A multilevel Multitrait–Multimethod Analysis of Self– and Peer–Reported Daily Affective Experiences

2011 ◽  
Vol 25 (5) ◽  
pp. 398-408 ◽  
Author(s):  
Wiebke Bleidorn ◽  
Anna–Lena Peters
Keyword(s):  
Multilevel Model ◽  
Discriminant Validity ◽  
Levels Of Analysis ◽  
Positive And Negative Affect ◽  
Convergent And Discriminant Validity ◽  
Multimethod Approach ◽  
Affective Experiences ◽  
Using Data ◽  
Multivariate Multilevel Model ◽  
Peer Reports

We examined the psychometric properties of an experience–sampling measure of affect (PANAS) using data from self– and peer reports. A multivariate multilevel model was used to assess the reliability of the latent PANAS scales at the within– and between–person level. Findings suggest satisfying internal consistencies for self– and peer reports of affective experiences at both levels of analysis. Convergent and discriminant validity of the two affect scales were examined by means of a multilevel multitrait–multimethod approach (MLM–MTMM) indicating distinct findings at the within– and between–person level. These findings provide further insights into the structural relations between the two PANAS scales: Whereas positive and negative affect were unrelated at the between–person level; they were negatively correlated at the within–person level. Copyright © 2010 John Wiley & Sons, Ltd.

Happiness and Health in Europe: A Multivariate Multilevel Model

2014 ◽  
Vol 10 (2) ◽  
pp. 237-252 ◽  
Author(s):  
Adi Cilik Pierewan ◽  
Gindo Tampubolon
Keyword(s):  
Multilevel Model ◽  
Multivariate Multilevel Model

scholarly journals Signs and customer behaviors at vape shops: Multivariate multilevel model analysis

2020 ◽  
Vol 12 ◽  
pp. 100299
Author(s):  
Jimi Huh ◽  
Leah Meza ◽  
Ellen Galstyan ◽  
Artur Galimov ◽  
Sheila Yu ◽  
...  
Keyword(s):  
Multilevel Model ◽  
Model Analysis ◽  
Multivariate Multilevel Model ◽  
Vape Shops

Exploring Off-Season Content and Interaction on Facebook: A Comparison of U.S. Professional Sport Leagues

2018 ◽  
Vol 11 (3) ◽  
pp. 389-413 ◽  
Author(s):  
Rebecca M. Achen ◽  
John Kaczorowski ◽  
Trisha Horsmann ◽  
Alanda Ketzler
Keyword(s):  
Multilevel Model ◽  
National Football League ◽  
Major League Baseball ◽  
National Basketball Association ◽  
Professional Sport ◽  
Content Type ◽  
Human Interest ◽  
Content Popularity ◽  
Content Strategy ◽  
Multivariate Multilevel Model

Research on social-media use in sport should be expanded to include analyses of content popularity and comparisons across leagues. This study used content analysis and a multivariate multilevel model to compare content type and interaction across U.S. professional sport leagues. Results indicated that teams in the National Football League had the most comments, teams in the Major League Baseball had the most shares, and teams in the National Basketball Association had the most likes. Content coded as player and personnel promotion, which included behind-the-scenes content and human-interest stories, received the most interaction. Sport marketers can use this information to drive content strategy. However, content designed to encourage interaction is still posted less often than most other types of content. These results suggest that marketers in sport may be using Facebook to build relationships by connecting fans personally with players, but not by encouraging interaction or 2-way conversation.

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