scholarly journals Development and validation of a stochastic disaster impact model

Author(s):  
R. Dudensing ◽  
J. Richardson ◽  
R. Lu
2015 ◽  
Vol 80 (9-12) ◽  
pp. 1945-1955
Author(s):  
Espen G. Lund ◽  
Mladen Jecmenica ◽  
Ole Melteig ◽  
Kjell G. Robbersmyr ◽  
Hamid Reza Karimi

Author(s):  
Ben Edwards ◽  
Matthew Gray ◽  
Judith B. Borja

AbstractExposure to multiple natural hazard-related disasters will become more common due to climate change. This article reports on the development and validation of a cumulative measure of exposure to natural hazard-related disasters (2013–2017) at the area level, and an individual-level measure of disaster impact using data from the Longitudinal Cohort Study on the Filipino Child and linked data from the International Disaster Database (EM-DAT). Caregiver reports of cumulative exposure to disasters had statistically significant associations with disasters reported by neighborhood officials and with disasters in EM-DAT. Using ecometric techniques we generated a reliable community average measure of exposure to natural hazard-related disasters. Based on neighbor but not individual self-reports this exogenous measure of disaster exposure in the local area was more strongly related to EM-DAT and official neighborhood reports than individual reports. To capture household variation we developed an individual-level measure of disaster impacts. Disaster impact was associated with measures of exposure (individual and community average), community ratings by officials, and EM-DAT but only moderately associated with the community average exposure. Both the community average and disaster impacts measures were associated with household income and the adequacy of income in households.


2007 ◽  
Vol 177 (4S) ◽  
pp. 7-7
Author(s):  
Brent K. Hollenbeck ◽  
J. Stuart Wolf ◽  
Rodney L. Dunn ◽  
Martin G. Sanda ◽  
David P. Wood ◽  
...  

2018 ◽  
Vol 34 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Julia Steinbach ◽  
Heidrun Stoeger

Abstract. We describe the development and validation of an instrument for measuring the affective component of primary school teachers’ attitudes towards self-regulated learning. The questionnaire assesses the affective component towards those cognitive and metacognitive strategies that are especially effective in primary school. In a first study (n = 230), the factor structure was verified via an exploratory factor analysis. A confirmatory factor analysis with data from a second study (n = 400) indicated that the theoretical factor structure is appropriate. A comparison with four alternative models identified the theoretically derived factor structure as the most appropriate. Concurrent validity was demonstrated by correlations with a scale that measures the degree to which teachers create learning environments that enable students to self-regulate their learning. Retrospective validity was demonstrated by correlations with a scale that measures teachers’ experiences with self-regulated learning. In a third study (n = 47), the scale’s concurrent validity was tested with scales measuring teachers’ evaluation of the desirability of different aspects of self-regulated learning in class. Additionally, predictive validity was demonstrated via a binary logistic regression, with teachers attitudes as predictor on their registration for a workshop on self-regulated learning and their willingness to implement a seven-week training program on self-regulated learning.


2020 ◽  
Vol 36 (5) ◽  
pp. 852-863 ◽  
Author(s):  
George Gunnesch-Luca ◽  
Klaus Moser

Abstract. The current paper presents the development and validation of a unit-level Organizational Citizenship Behavior (OCB) scale based on the Referent-Shift Consensus Model (RSCM). In Study 1, with 124 individuals measured twice, both an Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) established and confirmed a five-factor solution (helping behavior, sportsmanship, loyalty, civic virtue, and conscientiousness). Test–retest reliabilities at a 2-month interval were high (between .59 and .79 for the subscales, .83 for the total scale). In Study 2, unit-level OCB was analyzed in a sample of 129 work teams. Both Interrater Reliability (IRR) measures and Interrater Agreement (IRA) values provided support for RSCM requirements. Finally, unit-level OCB was associated with group task interdependence and was more predictable (by job satisfaction and integrity of the supervisor) than individual-level OCB in previous research.


2008 ◽  
Vol 93 (2) ◽  
pp. 250-267 ◽  
Author(s):  
Troy V. Mumford ◽  
Chad H. Van Iddekinge ◽  
Frederick P. Morgeson ◽  
Michael A. Campion

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