Applied Linear Models with SAS

Author(s):  
Daniel Zelterman
Keyword(s):  
1974 ◽  
Vol 3 (9) ◽  
pp. 893-897
Author(s):  
Gerald McWilliams ◽  
James Poirot†
Keyword(s):  

2020 ◽  
Vol 41 (2) ◽  
pp. 61-67
Author(s):  
Marko Tončić ◽  
Petra Anić

Abstract. This study aims to examine the effect of affect on satisfaction, both at the between- and the within-person level for momentary assessments. Affect is regarded as an important source of information for life satisfaction judgments. This affective effect on satisfaction is well established at the dispositional level, while at the within-person level it is heavily under-researched. This is true especially for momentary assessments. In this experience sampling study both mood and satisfaction scales were administered five times a day for 7 days via hand-held devices ( N = 74 with 2,122 assessments). Several hierarchical linear models were fitted to the data. Even though the amount of between-person variance was relatively low, both positive and negative affect had substantial effects on momentary satisfaction on the between- and the within-person level as well. The within-person effects of affect on satisfaction appear to be more pronounced than the between-person ones. At the momentary level, the amount of between-person variance is lower than in studies with longer time-frames. The affect-related effects on satisfaction possibly have a curvilinear relationship with the time-frame used, increasing in intensity up to a point and then decreasing again. Such a relationship suggests that, at the momentary level, satisfaction might behave in a more stochastic manner, allowing for transient events/data which are not necessarily affect-related to affect it.


1994 ◽  
Vol 39 (5) ◽  
pp. 475-476
Author(s):  
Paula L. Woehlke

Author(s):  
Muklas Rivai

Optimal design is a design which required in determining the points of variable factors that would be attempted to optimize the relevant information so that fulfilled the desired criteria. The optimal fulfillment criteria based on the information matrix of the selected model.


2016 ◽  
Vol 39 ◽  
pp. 109-112
Author(s):  
Mirko Ginocchi ◽  
Giovanni Franco Crosta ◽  
Marco Rotiroti ◽  
Tullia Bonomi

Author(s):  
Christos CHANTZARAS

Architects understand and visualize organizations and processes differently from their counterparts in management disciplines. With the increasing complexities of markets and blurring of organizational boundaries, linear models of innovation processes are unable to account for the range of possible  interrelations and interdependencies. Design-led disciplines have become of interest in providing frames and ‘design’ structures for fostering innovation. Though it deals specifically with the conceptualization and realization of R&D and innovation centres, architecture has been largely overlooked in this regard. This paper explains how architects’ approach to reframing complexities, focussing on social interactions and shaping invisible patterns prior to building design offers new perspectives for innovation research. It critically reviews the changing context of innovation and relational models in the literature, and outlines the relevance of integrating spatial proximities and time for a constructive 3-dimensional representation. Via two case studies, the basic principles for the development of an integrative approach are sketched out and suggestions made for further research. The specific skill-set and thinking of architects offers a 3rd dimension of innovation processes.


Sign in / Sign up

Export Citation Format

Share Document