The Preschool Behaviour Questionnaire: Stability of its Factor Structure Between Cultures, Sexes, Ages and Socioeconomic Classes

1987 ◽  
Vol 10 (4) ◽  
pp. 467-484 ◽  
Author(s):  
R. E. Tremblay ◽  
L. Desmarais-Gervais ◽  
C. Gagnon ◽  
P. Charlebois
Keyword(s):  
Simple Structure ◽  
Population Sample ◽  
Principal Component ◽  
Ethnic Composition ◽  
Social Competencies ◽  
Component Solution ◽  
Two Component ◽  
Structure Problem ◽  
Children’S Behaviour ◽  
The Stability

The Preschool Behaviour Questionnaire has been widely used in North-America to study social competencies and behavioural problems of preschool children. The 30 item rating scale was created by Behar and Stringfield (1974) as an adaptation of Rutter's (1967) Children's Behaviour Questionnaire intended for elementary school children. In their original study Behar and Stringfield proposed a three-component solution for their data: hostileaggressive, anxious-fearful, hyperactive-distractible. Most studies using the Behar Preschool Behaviour Questionnaire, (B-PBQ) have been using this three-component solution. Fowler and Park (1979), after a study of a "normal" population sample, concluded that a two-component solution (aggressive-hyperactive-distractible, anxious-fearful) was a better approximation to simple structure and more easily interpretable. They also concluded that the two-component solution was stable across sexes, but questioned the stability for "populations differing significantly in socioeconomic or ethnic composition". This study addresses the "simple structure" problem and the "stability of structure" problem for the B-PBQ. Four different samples ranging from N=383 to N=1161 were assessed in francophone schools in Montreal. Results of principal component analyses compared to Behar and Stringfield's data as well as Fowler and Park's data lead to the following conclusions: a two-principal-component solution has a simpler structure and is easier to interpret with reference to Rutter's Children's Behaviour Questionnaire; the two-component solution is stable across sexes, ages, socioeconomic populations and cultures. The Preschool Behaviour Questionnaire paired with the Children's Behaviour Questionnaire should be suitable for longitudinal and cross-cultural studies of social competencies from preschool to junior high school.

scholarly journals Development of a brief measure of generativity and ego-integrity for use in palliative care settings

2015 ◽  
Vol 13 (5) ◽  
pp. 1411-1415 ◽  
Author(s):  
Dean Vuksanovic ◽  
Murray Dyck ◽  
Heather Green
Keyword(s):  
Principal Component Analysis ◽  
Palliative Care ◽  
End Of Life ◽  
Principal Component ◽  
Oblique Rotation ◽  
Ego Integrity ◽  
Component Solution ◽  
Item Questionnaire ◽  
Two Component ◽  
Two Measures

AbstractObjective:Our aim was to develop and test a brief measure of generativity and ego-integrity that is suitable for use in palliative care settings.Method:Two measures of generativity and ego-integrity were modified and combined to create a new 11-item questionnaire, which was then administered to 143 adults. A principal-component analysis with oblique rotation was performed in order to identify underlying components that can best account for variation in the 11 questionnaire items.Results:The two-component solution was consistent with the items that, on conceptual grounds, were intended to comprise the two constructs assessed by the questionnaire.Significance of Results:Results suggest that the selected 11 items were good representatives of the larger scales from which they were selected, and they are expected to provide a useful means of measuring these concepts near the end of life.

scholarly journals Multivariate analysis as a tool for measuring the stability of morphometric traits in Lycopersicon plants from in vitro culture

2000 ◽  
Vol 23 (2) ◽  
pp. 479-493 ◽  
Author(s):  
Guillermo Pratta ◽  
Roxana Zorzoli ◽  
Liliana Amelia Picardi
Keyword(s):  
Multivariate Analysis ◽  
In Vitro Culture ◽  
Principal Component ◽  
Eigenvalues And Eigenvectors ◽  
Morphometric Traits ◽  
Regenerated Plants ◽  
Phenotypic Structure ◽  
Regeneration Cycle ◽  
The Stability

The phenotypic stability of morphometric traits in Lycopersicon spp. (stem perimeter at the base, middle and top, and number of flowers per cluster) was measured by multivariate analysis through a progeny test in order to estimate the genetic stability of these traits. Principal components were calculated for two groups of Lycopersicon spp., non-regenerated plants and the progeny of regenerated plants. Analysis of variance was performed to support principal component analysis. Both groups presented similar eigenvalues and eigenvectors, while no significant differences were found between any of the traits studied. These results indicated that the phenotypic structure was the same among the progeny of regenerated and non-regenerated plants, so that no variation would occur in in vitro culture. Multivariate analysis proved to be an appropriate methodology for the measurement of the stability of morphometric traits after one regeneration cycle.

scholarly journals Stability of Wheat Genotypes by AMMI and Yield Evaluated under Peninsular Zone of India

2021 ◽  
Author(s):  
Ajay Verma ◽  
G.P. Singh
Keyword(s):  
Weighted Average ◽  
Principal Component ◽  
Efficient Estimation ◽  
High Yield ◽  
First Year ◽  
Wheat Genotypes ◽  
Stability Measure ◽  
Linear Behaviour ◽  
The Stability ◽  
Selection Of

Background: Efficient estimation of main and interaction effects under multi environment trials had been carried out by AMMI. Studies with low proportion of the variance explained by first interaction principal component IPCA1 under AMMI analysis had been reported biased interpretation for the stability of the genotypes.Methods: Weighted Average of Absolute scores (WAASB), quantitative stability measure had been recommended for selection of productive genotypes with broad adaptation. The selection of promising genotypes had been assisted by use of superiority index (WAASBY) that considered simultaneous use of yield and stability by allowing variable weighting mechanism for yield and stability.Result: Wheat GW509 and HI1633 genotypes had been identified by stability measure WAASB for the first year. While Superiority index considered stability and high yield settled for HI1633 and Raj4083 genotypes. Analytic measures of adaptability PRVG and MHPRVG observed suitability of HI1633 and Raj 4083. SI expressed positive linear behaviour with yield, MHPRVG and PRVG measures. While stability measure WAASB maintained moderate negative correlation with yield, SI, MHPRVG and PRVG. Wheat genotypes HI1633, HI1641 and HI1646 identified by stability measure for the next year of study. Superiority index selected HI1641, HI1633 and MACS6752 genotypes. SI expressed direct linear relation with yield, MHPRVG and PRVG. Stability measure exhibited indirect relationships with SI, MHPRVG, PRVG and yield Wheat genotypes HI1633, Raj 4083 for first year and HI1641, MACS6752 for the second year of study.

scholarly journals Time Impact on Residue in a Non-homogeneous Equation of Statics in the Theory of Elastic Mixture

2021 ◽  
Vol 09 (05) ◽  
Author(s):  
Ebikiton Ndiwari ◽  
Keyword(s):  
Meromorphic Function ◽  
Homogeneous Equation ◽  
Principal Component ◽  
Variable Coefficients ◽  
Component Mixture ◽  
Second Order Differential Equations ◽  
Elastic Mixture ◽  
The Earth ◽  
Time Relationship ◽  
Two Component

Residual stress in continuum has not been quantified because time relationship with residues has not been proven analytically. This is achieved in this paper by analyzing a two component mixture with the non-homogeneous equation of statics in the theory of elastic mixture, and second order differential equations with variable coefficients. A dry mixture of sand and cement is transformed into a continuum, which is been determined as an entire or a meromorphic function, as a result of the existence of residues that are contained in the principal component of the mixture obtained directly from the earth. The time relationship with residue, in these two functions are determined. Our result shows that time places a limit on residues, making the meromorphic function prone to implosion..

Nonlinear Analysis of Cable Net Structures Suspended from Arches with Block and Tackle Suspension System, Taking into Account the Friction of the Pulleys

2009 ◽  
Vol 24 (3) ◽  
pp. 143-152 ◽  
Author(s):  
Krisztián Hincz
Keyword(s):  
Structural Analysis ◽  
Static Analysis ◽  
Simple Structure ◽  
Complex Structure ◽  
Numerical Procedure ◽  
Suspension System ◽  
Dynamic Relaxation ◽  
Final State ◽  
The Stability ◽  
External Loads

A numerical procedure for the static analysis of arch-supported tensile structures with block and tackle suspension system is presented. The procedure, based on dynamic relaxation, is suitable for a structural analysis both in the prestressing process and in a final state under external loads. The friction between the pulley and its shaft is also taken into account in the analysis. After the introduction of the developed procedure, two structures are presented as examples. The analysis of a very simple structure validates the procedure, then the analysis of a more complex structure, an arch-supported cable net roof illustrates the stability and efficiency of the procedure.

Stable Assembly Sequence Planning Using a Genetic Algorithm

1999 ◽  
Author(s):  
Shiang-Fong Chen ◽  
Xiao-Yun Liao
Keyword(s):  
Genetic Algorithm ◽  
Simple Structure ◽  
Fitness Function ◽  
Assembly Sequence Planning ◽  
Connection Matrix ◽  
Assembly Sequence ◽  
Sequence Planning ◽  
Industry Standard ◽  
Planning Algorithm ◽  
The Stability

Abstract Stability problems in assembly sequence planning have drawn great research interest in recent years. Most proposed methodologies are based on graph theory and involve complex geometric and physical analyses. As a result, even for a simple structure, it is difficult to take all the criteria into account and to implement real world solutions. This paper uses a genetic algorithm (GA) to synthesize different criteria fo generating a stable assembl plan. Three matrices (Connection Matrix, Supporting Matrix, and Interference-Free Matrix) are generated from an input B-rep file to represent the CAD information of a given product. The stability of a given assembly plan and reorientation numbers are incorporated into the fitness function of the genetic assembly planner. The proposed planning algorithm has been successfull implemented. This paper also presents implemented planne performance as measured for two industry-standard structures.

Heuristic Principal Component Analysis-Based Unsupervised Feature Extraction and Its Application to Bioinformatics

2015 ◽  
pp. 138-162 ◽  
Author(s):  
Y-H. Taguchi ◽  
Mitsuo Iwadate ◽  
Hideaki Umeyama ◽  
Yoshiki Murakami ◽  
Akira Okamoto
Keyword(s):  
Principal Component Analysis ◽  
Feature Extraction ◽  
Principal Component ◽  
Component Analysis ◽  
Circulating Microrna ◽  
Biomarker Identification ◽  
Typical Situation ◽  
Aberrant Dna Methylation ◽  
The Stability ◽  
Unsupervised Feature Extraction

Feature Extraction (FE) is a difficult task when the number of features is much larger than the number of samples, although that is a typical situation when biological (big) data is analyzed. This is especially true when FE is stable, independent of the samples considered (stable FE), and is often required. However, the stability of FE has not been considered seriously. In this chapter, the authors demonstrate that Principal Component Analysis (PCA)-based unsupervised FE functions as stable FE. Three bioinformatics applications of PCA-based unsupervised FE—detection of aberrant DNA methylation associated with diseases, biomarker identification using circulating microRNA, and proteomic analysis of bacterial culturing processes—are discussed.

scholarly journals Prediction of Soil Organic Carbon for Ethiopian Highlands Using Soil Spectroscopy

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Tadele Amare ◽  
Christian Hergarten ◽  
Hans Hurni ◽  
Bettina Wolfgramm ◽  
Birru Yitaferu ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Diffuse Reflectance ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Coefficient Of Determination ◽  
Calibration Models ◽  
The Stability

Soil spectroscopy was applied for predicting soil organic carbon (SOC) in the highlands of Ethiopia. Soil samples were acquired from Ethiopia’s National Soil Testing Centre and direct field sampling. The reflectance of samples was measured using a FieldSpec 3 diffuse reflectance spectrometer. Outliers and sample relation were evaluated using principal component analysis (PCA) and models were developed through partial least square regression (PLSR). For nine watersheds sampled, 20% of the samples were set aside to test prediction and 80% were used to develop calibration models. Depending on the number of samples per watershed, cross validation or independent validation were used. The stability of models was evaluated using coefficient of determination (R2), root mean square error (RMSE), and the ratio performance deviation (RPD). The R2 (%), RMSE (%), and RPD, respectively, for validation were Anjeni (88, 0.44, 3.05), Bale (86, 0.52, 2.7), Basketo (89, 0.57, 3.0), Benishangul (91, 0.30, 3.4), Kersa (82, 0.44, 2.4), Kola tembien (75, 0.44, 1.9), Maybar (84. 0.57, 2.5), Megech (85, 0.15, 2.6), and Wondo Genet (86, 0.52, 2.7) indicating that the models were stable. Models performed better for areas with high SOC values than areas with lower SOC values. Overall, soil spectroscopy performance ranged from very good to good.

Plastic Classification with X-ray Absorption Spectroscopy Based on Back Propagation Neural Network

2017 ◽  
Vol 71 (11) ◽  
pp. 2538-2548 ◽  
Author(s):  
Qian Wang ◽  
Xiaomei Wu ◽  
Lingcong Chen ◽  
Zheng Yang ◽  
Zheng Fang
Keyword(s):  
Absorption Spectroscopy ◽  
Recognition Rate ◽  
Back Propagation ◽  
Principal Component ◽  
Back Propagation Neural Network ◽  
X Ray ◽  
Analysis Methods ◽  
Average Recognition Rate ◽  
The Stability ◽  
X Ray Absorption

Currently, spectral analysis methods used in the classification of plastics have limitations that do not apply to opaque plastics or the stability of experimental results is not strong. In this paper, X-ray absorption spectroscopy (XAS) has been applied to classify plastics due to its strong penetrability and stability. Fifteen kinds of plastics are selected as specimens. X-ray, which is excited by a voltage of 60 kV, penetrated these specimens. The spectral data acquired by CdTe X-ray detector are processed by principal component analysis (PCA) and other data analysis methods. Then the back propagation neural networks (BPNN) algorithm is used to classify the processed data. The average recognition rate reached 96.95% and classification results of all types of plastic results were analyzed in detail. It indicates that XAS has the potential to classify plastics and that XAS can be used in some fields such as plastic waste sorting and recycling. At the same time, the technology of XAS, in the future, can also be used to classify more substances.

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