Selection Procedure Development and Validation

2017 ◽  
pp. 53-82
Keyword(s):  
Selection Procedure ◽  
Development And Validation ◽  
Procedure Development

Affective Components of the Human-Animal Relationship in Animal Husbandry: Development and Validation of a Questionnaire

2004 ◽  
Vol 95 (1) ◽  
pp. 275-290 ◽  
Author(s):  
Jocelyne Porcher ◽  
Florence Cousson-Gélie ◽  
Robert Dantzer
Keyword(s):  
Selection Procedure ◽  
Principal Component ◽  
Animal Husbandry ◽  
Coherent System ◽  
Power Relationship ◽  
Personal Factors ◽  
Two Factors ◽  
Human Animal ◽  
Affective Components ◽  
Development And Validation

The aim of the present study was to identify the main dimensions of the human-animal relationship in animal husbandry and to test the hypothesis of a coherent system linking attitudes and feelings. A second objective was to assess interin-dividual differences which could be linked to socioenvironmental or personal factors. The 26-item questionnaire was administered to 197 animal farmers (143 men, 54 women, 3.8% under 25 years old, 45.2% under 40 years, 44.2% under 60 years and 7.1% over 60 years). To include even farmers not in the official agricultural registries, we used a random selection procedure. A principal component analysis of responses followed by varimax rotation yielded two factors accounting for 30.7% of the total variance, a Friendship factor and a Power relationship factor. Significant differences on the Friendship factor were observed between groups by sex of farmers, education, size of the production system, and region of production. There were also differences on the Power relationship factor between groups by age and education. These results validate a questionnaire with 21 items, allowing measurement of positive and negative affects of farmers towards their animals.

scholarly journals Revision of the Dissolution Procedure: Development and Validation

2014 ◽  
Vol 21 (1) ◽  
pp. 6-8
Author(s):  
R. Skwierczynski ◽  
P. Curry ◽  
V. Gray ◽  
J. Krämer ◽  
E. Stippler ◽  
...  
Keyword(s):  
Development And Validation ◽  
Procedure Development

scholarly journals MOVING TOWARDS GLOBAL SATELLITE BASED PRODUCTS FOR MONITORING OF INLAND AND COASTAL WATERS. REGIONAL EXAMPLES FROM EUROPE AND SOUTH AMERICA

2020 ◽  
Vol IV-3/W2-2020 ◽  
pp. 101-106
Author(s):  
E. Spyrakos ◽  
P. Hunter ◽  
S. Simis ◽  
C. Neil ◽  
C. Riddick ◽  
...  
Keyword(s):  
Water Quality ◽  
Optical Sensors ◽  
Selection Procedure ◽  
Algorithm Selection ◽  
In Situ Data ◽  
National Monitoring ◽  
Global Biogeochemical Cycles ◽  
Development And Validation

Abstract. Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recognised source of information on a number of indicators of water quality and ecosystem condition at local and global scales. In parallel, advances in optical sensors support new and more detailed characterisation of the Earth surface and could lead to innovative EO-based products. Nonetheless, RS of water colour of inland and coastal systems, especially in larger scales and over long-term time series, faces unique challenges. This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. The development and validation of a global satellite data processing chain (Calimnos) has been supported by access to an extensive in situ data from more than thirty partners around the world that are now held in the LIMNADES community-owned database. This approach has resulted in a step-change in our ability to produce regional and global water quality products for optically complex waters. Local examples of the data outputs will be explored and the opportunities in how these data can be embedded within local and national monitoring schemes to facilitate better management of water will be discussed.

18: Measuring Quality-of-Life after Surgery: Development and Validation of the Convalescence and Recovery Evaluation (CARE)

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

Development of the Teacher Attitudes Towards Self-Regulated Learning Scale

2018 ◽  
Vol 34 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Julia Steinbach ◽  
Heidrun Stoeger
Keyword(s):  
Factor Analysis ◽  
Primary School ◽  
Factor Structure ◽  
Concurrent Validity ◽  
Binary Logistic Regression ◽  
Affective Component ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Teachers Attitudes ◽  
Development And Validation

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.

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