Generalized linear modeling methods for selection component experiments

1990 ◽  
Vol 37 (3) ◽  
pp. 389-423 ◽  
Author(s):  
Christopher J. Williams ◽  
Wyatt W. Anderson ◽  
Jonathan Arnold
Keyword(s):  
Linear Modeling ◽  
Modeling Methods ◽  
Generalized Linear Modeling

University Students’ Perceptions of Parents and Childless or Childfree Couples

2015 ◽  
Vol 39 (1) ◽  
pp. 155-179 ◽  
Author(s):  
Tanya Koropeckyj-Cox ◽  
Zeynep Çopur ◽  
Victor Romano ◽  
Susan Cody-Rydzewski
Keyword(s):  
College Students ◽  
Marital Relationships ◽  
Linear Modeling ◽  
Negative Stereotypes ◽  
Men And Women ◽  
Work Related ◽  
Modeling Methods ◽  
Generalized Linear Modeling ◽  
Emotionally Troubled ◽  
Negative Perceptions

Earlier studies have documented persistent negative stereotypes of childless or childfree adults, though acceptance has increased in recent decades. Recent studies have also shown negative biases against parents, especially mothers, in work-related contexts. The current study used college students’ responses to hypothetical vignettes ( N = 1,266) to compare perceptions of childless and childfree adults and parents using means comparisons with generalized linear modeling methods, controlling for student and vignette characteristics. Results showed that parents were perceived as warmer, but with less positive marital relationships, than those without children. Mothers were perceived as more stressed and childless men and women as more emotionally troubled, but there were few differences in work-related perceptions. Childless wives with no plans to have children were perceived as least warm, whereas husbands were perceived as least stressed. Results indicate some persistent negative stereotypes of childless adults along with negative perceptions of stress and marital strains related to parenthood.

City Children’s Nature Knowledge and Contact: It Is Not Just About Biodiversity Provision

2017 ◽  
Vol 50 (10) ◽  
pp. 1145-1171 ◽  
Author(s):  
Claire Freeman ◽  
Aviva Stein ◽  
Kathryn Hand ◽  
Yolanda van Heezik
Keyword(s):  
New Zealand ◽  
Environmental Factors ◽  
Ethnic Group ◽  
Social Factors ◽  
Green Spaces ◽  
Social Connections ◽  
Relative Importance ◽  
Linear Modeling ◽  
Generalized Linear Modeling ◽  
Nature Contact

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.

Identification of Higher Order Helicopter Dynamics Using Linear Modeling Methods

1994 ◽  
Vol 39 (3) ◽  
pp. 3-11 ◽  
Author(s):  
Bimal L. Aponso ◽  
Donald E. Johnston ◽  
Walter A. Johnson ◽  
Raymond E. Magdaleno
Keyword(s):  
Higher Order ◽  
Linear Modeling ◽  
Modeling Methods

Simple estimators of salmonid escapement and its variance using a new area-under-the-curve method

2012 ◽  
Vol 69 (6) ◽  
pp. 1002-1015 ◽  
Author(s):  
Russell B. Millar ◽  
Sam McKechnie ◽  
Chris E. Jordan
Keyword(s):  
Direct Method ◽  
Area Under The Curve ◽  
Variance Estimator ◽  
Linear Modeling ◽  
Generalized Linear Modeling ◽  
Modeling Software ◽  
Curve Method ◽  
Ml Estimator ◽  
Alternative Estimator ◽  
A Direct Method

If observed numbers of spawning salmon are plotted against sampling date, then the area under the curve (AUC) gives an estimate of spawner-days. Dividing AUC by spawner lifetime and adjusting for observer efficiency gives an estimate of spawner escapement. In particular, the trapezoidal form of AUC estimator has been widely used over the last two decades, despite the absence of a direct method for calculating its variance. For this reason, an alternative estimator of escapement was developed using a maximum likelihood (ML) model of spawner arrivals. However, this alternative has not been widely used, perhaps because of its complexity and concerns over validity of assumptions. Here, a simpler ML approach is used to estimate AUC by fitting a model directly to spawner numbers. It can be fitted using existing generalized linear modeling software and provides an explicit variance estimator for AUC and escapement. Simulations show that it has consistently higher coverage than the existing ML estimator. However, the trapezoidal AUC estimator was generally a slightly more precise estimator of escapement than either of the ML approaches.

Alveolar concentration and bronchial flux of nitric oxide: Two linear modeling methods evaluated in children and adolescents with allergic rhinitis and atopic asthma

2012 ◽  
Vol 47 (11) ◽  
pp. 1070-1079 ◽  
Author(s):  
Jirina Chládková ◽  
Marian Senkerík ◽  
Zuzana Havlínová ◽  
Irena Krcmová ◽  
Jaroslav Chládek
Keyword(s):  
Nitric Oxide ◽  
Allergic Rhinitis ◽  
Children And Adolescents ◽  
Atopic Asthma ◽  
Linear Modeling ◽  
Modeling Methods
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