A Life Stage Model Should Include Single Women

1998 ◽  
Vol 10 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Karen Gail Lewis
Keyword(s):  
Life Stage ◽  
Single Women ◽  
Stage Model

scholarly journals Capital structure and the firm’s life stage

2005 ◽  
Vol 36 (4) ◽  
pp. 9-18 ◽  
Author(s):  
A. Frielinghaus ◽  
B. Mostert ◽  
C. Firer
Keyword(s):  
Pilot Study ◽  
Capital Structure ◽  
Life Stage ◽  
Order Theory ◽  
Life Stages ◽  
Stage Model ◽  
Pecking Order ◽  
Pecking Order Theory ◽  
The Relationship ◽  
Over Time

In this paper we argue the case for a relationship between capital structure and a firm’s life stage. We provide an overview of the two sets of theories and follow this with a proposed linkage between the life stage and capital structure. We use the Adizes life stage model to assess the life stage of the firms in our sample. Our pilot study found a statistically significant relationship between life stage and the capital structure of respondents. The nature of the relationship (more debt in the early and late life stages than in prime) supports the pecking order theory of capital structure and suggests a practical use of the life stage model in helping firms to understand how their financing is likely to change over time.

Modelling the retention and survival of Browns Bank haddock larvae using an early life stage model

2001 ◽  
Vol 10 (3) ◽  
pp. 284-296 ◽  
Author(s):  
D. Brickman ◽  
N. L. Shackell ◽  
K. T. Frank
Keyword(s):  
Early Life ◽  
Life Stage ◽  
Early Life Stage ◽  
Stage Model

“I’m a Loser, I’m Not Married, Let’s Just All Look at Me”: Ever-Single Women’s Perceptions of Their Social Environment

2011 ◽  
Vol 32 (7) ◽  
pp. 956-980 ◽  
Author(s):  
Elizabeth A. Sharp ◽  
Lawrence Ganong
Keyword(s):  
Social Environment ◽  
Life Stage ◽  
Single Women ◽  
Life Course Perspective ◽  
Child Rearing ◽  
Phenomenological Method ◽  
Social Environments ◽  
Social Worlds ◽  
Women’S Perceptions ◽  
Life Path

Despite growing numbers of singles, the idealization of marriage and child rearing remains strong, pervasive, and largely unquestioned. Guided by life course perspective, the purpose of this article was to examine familial and societal messages women receive when not married by their late 20s to mid-30s. Using descriptive phenomenological method, the authors conducted 32 interviews with 10 middle-class, ever-single women. Respondents’ social environments were characterized by pressure to confirm to the conventional life pathway. Pressure was manifested in women feeling both highly visible and invisible. Specifically, women’s social worlds included (a) awareness of the changing reality as they became older (e.g., changing pool of eligible men, pregnancy risks), (b) reminders that they were on a different life path (i.e., visibility ) through others’ inquires and “triggers” (e.g., weddings), and (c) displacement in their families of origin (i.e., invisibility). The authors discuss the visible/invisible paradox, which appeared to be pronounced at their life stage.

scholarly journals Predicting the seasonal phenology of fall webworm (Hyphantria cunea) in New Zealand

2007 ◽  
Vol 60 ◽  
pp. 279-285 ◽  
Author(s):  
J.M. Kean ◽  
L.B. Kumarasinghe
Keyword(s):  
New Zealand ◽  
Life Stage ◽  
Stage Model ◽  
Hyphantria Cunea ◽  
Local Conditions ◽  
The North ◽  
Model Predictions ◽  
The Usa ◽  
Fall Webworm ◽  
And Control

A cohortbased model for the seasonal phenology of the blackheaded strain of the fall webworm Hyphantria cunea (Lepidoptera Arctiidae) was constructed from published development rates for each life stage Model predictions were successfully verified against field observations from Japan China Italy Serbia and the USA The model was then used to predict phenology in New Zealand and the potential for establishment near major ports Populations are predicted to be bivoltine in the north and univoltine in central areas but are unlikely to form selfsustaining populations south of Timaru Fall webworm demonstrated the ability to adapt to specific local conditions after its invasion of Japan so the risk may be greater than these results suggest Successful validation of the model means that it could be used to inform surveillance and control operations targeting fall webworm outbreaks overseas and potential invasions into new ranges such as New Zealand

Physical health and well-being: A life stage model

2010 ◽  
Author(s):  
Alexander Kelly ◽  
Sheila Panchal ◽  
Stephen Palmer
Keyword(s):  
Physical Health ◽  
Life Stage ◽  
Well Being ◽  
Stage Model ◽  
Health And Well Being

European Corn Borer life stage model: Regional estimates of pest development and spatial distribution under present and future climate

2007 ◽  
Vol 207 (2-4) ◽  
pp. 61-84 ◽  
Author(s):  
M. Trnka ◽  
F. Muška ◽  
D. Semerádová ◽  
M. Dubrovský ◽  
E. Kocmánková ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
European Corn Borer ◽  
Life Stage ◽  
Future Climate ◽  
Stage Model ◽  
Corn Borer ◽  
Regional Estimates

Modelling the dispersal and mortality of Browns Bank egg and larval haddock (Melanogrammus aeglefinus)

2000 ◽  
Vol 57 (12) ◽  
pp. 2519-2535 ◽  
Author(s):  
David Brickman ◽  
Kenneth T Frank
Keyword(s):  
Early Life ◽  
Life Stage ◽  
Model Performance ◽  
Early Life Stage ◽  
Integral Model ◽  
Melanogrammus Aeglefinus ◽  
Stage Model ◽  
Larval Stages ◽  
Abundance Data ◽  
Haddock Melanogrammus Aeglefinus

An early life stage model is described with constant mortality for egg and larval stages. The model is used to simulate the stage 4 egg and larval data for haddock (Melanogrammus aeglefinus) in southwest Nova Scotia for the years 1983-1985. The model is initialized using published abundance and mortality estimates for these years, and its output is compared with field data. We find that the model does a systematically poor job of reproducing both the spatial-temporal and area-integrated versions of the data. To understand the discrepancy, we derive an integrated version of the model (integral model) and analyze its properties. This leads to a general method for determining whether sequential stage abundance data is consistent with a stage-dependent constant-mortality model. We use this method to show that a constant-mortality early life stage model is not consistent with the data. The integral model allows for year-day dependent mortality functions, which results in almost perfect fits to the abundance data. These functions can be transferred to the early life stage model with significantly improved model performance, although spatial differences remain. The implications of the integral-model analysis for sequential stage mortality estimation are discussed.

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