scholarly journals Multi-Effect Factor Analysis of Residential Engineering Quality Problems

2018 ◽  
Author(s):  
Xue-Liang Hou ◽  
Yi Wang
Keyword(s):  
Factor Analysis ◽  
Effect Factor

Effect Factor Analysis of Spraying Quality for Agricultural Chemicals

2015 ◽  
Vol 8 (11) ◽  
pp. 221-230 ◽  
Author(s):  
Wenfeng Sun ◽  
Qichao Li ◽  
Yongcun Fan ◽  
Yanhua Wan ◽  
Teng Wang ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Agricultural Chemicals ◽  
Effect Factor

scholarly journals Cross-Cultural Adaptation and Validation of the Physical Disability Resiliency Scale in a Sample of Chinese With Physical Disability

2020 ◽  
Vol 11 ◽  
Author(s):  
Wenjie Duan ◽  
Wenlong Mu ◽  
Hongxia Xiong
Keyword(s):  
Factor Analysis ◽  
Internal Consistency ◽  
Physical Disability ◽  
Convergent Validity ◽  
Factor Model ◽  
Cognitive Strategies ◽  
Internal Consistency Reliability ◽  
Effect Factor ◽  
Method Effect ◽  
Trait Factors

This study adapted the Physical Disability Resilience Scale (PDRS) to Chinese conditions and evaluated the psychometric characteristics of the Chinese version in individuals with physical disability. A total of 438 individuals with physical disability were included in this study. The PDRS was translated to Chinese using a backward translation method. Construct validity, internal consistency reliability, and convergent validity were examined. Confirmatory factor analysis failed to replicate the original five-factor structure of the PDRS. After removing the Spirituality factor and an underperformed item (Item 22), exploratory factor analysis yielded four trait factors (i.e., Emotional and Cognitive Strategies, Physical Activity and Diet, Peer Support, and Support from Family and Friends) and a method-effect factor. A correlated trait–correlated method model that included the four trait factors and a method-effect factor reported better model fit than the four-factor model, which did not consider method effects. The four subscales of the revised PDRS showed adequate internal consistency. The convergent validity of the revised PDRS was established by the moderate-to-strong associations between its four subscales and theoretically related constructs. We conclude that the revised PDRS is a reliable and valid measure in assessing resilience among Chinese people with physical disability.

Four factor analysis of variance of fibre diameter

2015 ◽  
Vol 15 (2) ◽  
pp. 159-165
Author(s):  
B Narantuya ◽  
D Tseveennamjil
Keyword(s):  
Factor Analysis ◽  
Analysis Of Variance ◽  
Research Methodology ◽  
Fibre Diameter ◽  
Fibre Length ◽  
Effect Factor ◽  
Agricultural Sciences

As for the research methodology, we used sample of cashmere of goats, from some soums of Khentii province. We formulated the definition that is expressed by the values of different experiments of 4 factor analysis of variance. When we calculated, we used the formulation of 4 factor analysis of variance. Fibre diameter of goats of Khentii aimag that went under the research fluctuated between 13.70-18.10μm, average was 115.63±0.005μm; female goats' fibre diameter fluctuated between 13.7-18.10 μm and average was 15.66±0.13 μm; while male goats' fibre diameter fluctuated between 13.8-17.40 μm and average was 15.60±0.005 μm. Fibre length of goats that went under the research fluctuated between 3.57-7.13μm; average was 5.13±0.004cm; female goats' fibre length fluctuated between 3.73-7.00cm and average was 5.01±0.005; while male goats' fibre length fluctuated between 3.57-7.13cm and average was5.23±0.004cm. In terms of the percentage of effects of each factor: the factor “Soum”'s effect percentage was 2.5%, and the effect percentage of the factor “Goat sex” was 1.23%, factor “Goat age” was 59.1%, and factor “Fibre length” was 20.14%, and factor “inter-reaction of all factors”'s effect percentage was 16.33%. Among these factors the strongest effect factor was the goat's age.Journal of agricultural sciences №15 (02): 159-165, 2015

Low-velocity impact performance and effect factor analysis of scarf-repaired composite laminates

2018 ◽  
Vol 111 ◽  
pp. 85-93 ◽  
Author(s):  
Xiaoquan Cheng ◽  
Jie Zhang ◽  
Jianwen Bao ◽  
Benyin Zeng ◽  
Yujia Cheng ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Composite Laminates ◽  
Low Velocity Impact ◽  
Low Velocity ◽  
Velocity Impact ◽  
Impact Performance ◽  
Effect Factor

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

Evidence-based subtypes in functional dyspepsia with confirmatory factor analysis: Psychosocial and physiopathological correlates

2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Functional Dyspepsia ◽  
Evidence Based ◽  
Confirmatory Factor

The French Version of the Revised Child Anxiety and Depression Scale (RCADS) in a Nonclinical Sample

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Generalized Anxiety Disorder ◽  
Child Anxiety ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Generalized Anxiety ◽  
French Version ◽  
Confirmatory Factor

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.

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