Application of generalized linear modeling to catch rate analysis of Western Mediterranean fisheries: the Castellón trawl fleet as a case study

1999 ◽  
Vol 42 (3) ◽  
pp. 291-302 ◽  
Author(s):  
R. Goñi ◽  
F. Alvarez ◽  
S. Adlerstein
2003 ◽  
Vol 67 (S1) ◽  
pp. 337-351 ◽  
Author(s):  
J. Lleonart ◽  
F. Maynou ◽  
L. Recasens ◽  
R. Franquesa

2017 ◽  
Vol 50 (10) ◽  
pp. 1145-1171 ◽  
Author(s):  
Claire Freeman ◽  
Aviva Stein ◽  
Kathryn Hand ◽  
Yolanda van Heezik

Much attention has been directed at the perceived decline in city children’s contact with nature. We used a child-centric approach to assess neighborhood nature knowledge in 187 children aged 9 to 11 years, from different socioeconomic and ethnic groups in three New Zealand cities. We evaluated the relative importance of social (independence, gender, social connections, deprivation, age) and environmental factors (biodiversity) in explaining variation in knowledge at a scale relevant to each child’s independent movements. Our biodiversity evaluation reflected the natural dimensions of the habitats where children interacted with nature. Generalized linear modeling identified ethnicity as having the strongest association with nature knowledge. Within each ethnic group, social factors were most important (independence, social connections, deprivation) except for Pākehā/NZ European children, where local biodiversity was most important. Enhancing biodiversity values of private green spaces (yards) would be effective in facilitating opportunities to experience nature, which is fundamental to supporting nature contact.


2017 ◽  
Vol 193 ◽  
pp. 81-94 ◽  
Author(s):  
Martina F. Marongiu ◽  
Cristina Porcu ◽  
Andrea Bellodi ◽  
Rita Cannas ◽  
Alessandro Cau ◽  
...  

Author(s):  
Julius Maiyo ◽  
Manasi Echaune

ABSTRACT This study sought to analyze teacher effects on high school academic achievement scores in Busia County, Kenya. The study was based on the education production function theory. A descriptive survey research design was employed. A sample of 236 teachers and 755 students was used. Self administered questionnaires were used to collect data and test re-test was used to ascertain reliability of the instrument. Descriptive statistics namely; percentages, frequencies, mean, and standard deviations were used to carry out preliminary data analysis. Inferential statistics specifically correlation and regression coefficients were then used to test hypotheses. Hierarchical linear modeling was used to model effect of selected teacher variables on school academic achievement scores. Findings of the study were presented in tables and figures. Findings of the study suggested that the number of teachers, teacher commitment and teachers covering missed lessons had statistically significant effects on school academic achievement scores. Key words: Teacher Variables, Academic Achievement Scores, Kenya


2008 ◽  
Vol 23 (4) ◽  
pp. 569-589 ◽  
Author(s):  
Maria Rita Palombo ◽  
Maria Teresa Alberdi ◽  
Beatriz Azanza ◽  
Caterina Giovinazzo ◽  
José Luis Prado ◽  
...  

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