Kinetic model ofCO oxidation on nonuniform surface analyzed regardingCO ads spillover, 2. homotopic method. Effect ofm 1 surface portion

1996 ◽  
Vol 58 (1) ◽  
pp. 79-84
Author(s):  
E. A. Ivanov ◽  
V. I. Savchenko ◽  
S. I. Fadeev
2000 ◽  
Vol 16 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Martin Dunbar ◽  
Graeme Ford ◽  
Kate Hunt ◽  
Geoff Der

Summary: Marsh (1996) produced evidence that method effects associated with negatively worded items might be responsible for the results of earlier factor analytic studies that reported finding positive and negative self-esteem factors in the Rosenberg Global self-esteem scale ( Rosenberg, 1965 ). He analyzed data collected from children using a 7-item self-esteem measure. This report details attempts to replicate Marsh 's analysis in data collected from two samples of adults who completed the full 10-item Global Self-Esteem (GSE) scale. The results reported here are similar to those given by Marsh in so much as a correlated uniquenesses model produced a superior fit to the data than the simple one factor model (without correlated uniquenesses) or the often reported two factor (positive and negative self-esteem) model. However, whilst Marsh reported that the best fit was produced by allowing negative item uniquenesses to correlate with each other, the model that produced the best fit to these data was one that contained correlated positive item uniquenesses. Supporting his claim that differential responding to negative and positive self-esteem items reflects a method effect associated with reading ability, Marsh also showed that factors associated with negative and positive items were most distinct among children who had poor reading scores. We report a similar effect among a sample of older adults where the correlation between these factors was compared across two groups who were selected according to their scores on a test of verbal reasoning.


2019 ◽  
Vol 35 (6) ◽  
pp. 855-867 ◽  
Author(s):  
John T. Kulas ◽  
Rachael Klahr ◽  
Lindsey Knights

Abstract. Many investigators have noted “reverse-coding” method factors when exploring response pattern structure with psychological inventory data. The current article probes for the existence of a confound in these investigations, whereby an item’s level of saturation with socially desirable content tends to covary with the item’s substantive scale keying. We first investigate its existence, demonstrating that 15 of 16 measures that have been previously implicated as exhibiting a reverse-scoring method effect can also be reasonably characterized as exhibiting a scoring key/social desirability confound. A second set of analyses targets the extent to which the confounding variable may confuse interpretation of factor analytic results and documents strong social desirability associations. The results suggest that assessment developers perhaps consider the social desirability scale value of indicators when constructing scale aggregates (and possibly scales when investigating inter-construct associations). Future investigations would ideally disentangle the confound via experimental manipulation.


2008 ◽  
Vol 7 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Ilie Siminiceanu ◽  
Carmen-Ionela Alexandru ◽  
Eric Brillas

2008 ◽  
Vol 59 (4) ◽  
Author(s):  
Neculai Catalin Lungu ◽  
Maria Alexandroaei

The aim of the present work is to offer a practical methodology to realise an Arrhenius type kinetic model for a biotechnological process of alcoholic fermentation based on the Saccharomyces cerevisiae yeast. Using the experimental data we can correlate the medium temperature of fermentation with the time needed for a fermentation process under imposed conditions of economic efficiency.


2018 ◽  
Vol 69 (10) ◽  
pp. 2633-2637
Author(s):  
Raluca Dragomir ◽  
Paul Rosca ◽  
Cristina Popa

The main objectives of the present paper are to adaptation the five-kinetic model of the catalytic cracking process and simulation the riser to predicts the FCC products yields when one of the major input variable of the process is change. The simulation and adaptation are based on the industrial data from Romanian refinery. The adaptation is realize using a computational method from Optimization Toolbox from Matlab programming language. The new model can be used for optimization and control of FCC riser.


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