scholarly journals An Entropy-Based Tool to Help the Interpretation of Common-Factor Spaces in Factor Analysis

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 140
Author(s):  
Nobuoki Eshima ◽  
Claudio Giovanni Borroni ◽  
Minoru Tabata ◽  
Takeshi Kurosawa
Keyword(s):  
Factor Analysis ◽  
Correlation Analysis ◽  
Canonical Correlation ◽  
Common Factor ◽  
Common Factors ◽  
Correlation Coefficients ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Numerical Examples ◽  
The Common

This paper proposes a method for deriving interpretable common factors based on canonical correlation analysis applied to the vectors of common factors and manifest variables in the factor analysis model. First, an entropy-based method for measuring factor contributions is reviewed. Second, the entropy-based contribution measure of the common-factor vector is decomposed into those of canonical common factors, and it is also shown that the importance order of factors is that of their canonical correlation coefficients. Third, the method is applied to derive interpretable common factors. Numerical examples are provided to demonstrate the usefulness of the present approach.

Analysis of Factors Affecting Safety Management of Construction Site Based on Fuzzy Factor Analysis Model

2013 ◽  
Vol 753-755 ◽  
pp. 1862-1867 ◽  
Author(s):  
Long Jiang Shen ◽  
Suo Shi
Keyword(s):  
Factor Analysis ◽  
Safety Management ◽  
Common Factors ◽  
Correlation Coefficients ◽  
Construction Safety ◽  
Influential Factors ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Factors Affecting ◽  
Fuzzy Correlation

Thirty-nine influential factors of construction safety are identified in this study, and then five categories of respondents estimate their influential degrees through a questionnaire survey. In order to analyze these factors more accurately, a fuzzy factor analysis model (FFAM) is proposed. After calculating fuzzy eigenvalue, fuzzy correlation coefficients and factor loadings matrix in the model, seven different common factors are extracted. Finally, the author put forward several effective measures for improving construction safety based on these common factors.

scholarly journals Study on the Influencing Factors of Electricity Saving Behavior

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Haobo Zhang ◽  
Jia Tang ◽  
Peng Chen
Keyword(s):  
Factor Analysis ◽  
Influencing Factors ◽  
Electricity Consumption ◽  
Common Factors ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Electricity Cost ◽  
The Common ◽  
Saving Behavior ◽  
Electricity Saving

In order to explore the influencing factors of electricity-saving behavior, based on the survey data of residents' electricity consumption habits in some areas of Sichuan province, SPSS was used to analyze the differences of different electricity-saving behaviors. And then we establish factor analysis model, induce and extract the common factors that affect the electricity saving behavior. The results show that there are significant differences between psychological cost, behavioral cost, lack of relevant knowledge and electricity cost. They are three common factors that affect the implementation of electricity saving behavior, and the cumulative explainable rate is 52.302%.

Analysis of Factors Affecting Green Residential Building Costs Based on Fuzzy Factor Analysis Model

2012 ◽  
Vol 178-181 ◽  
pp. 12-19
Author(s):  
Lian Fa Ruan ◽  
Chang Quan Gu
Keyword(s):  
Factor Analysis ◽  
Questionnaire Survey ◽  
Common Factors ◽  
Residential Building ◽  
Influential Factors ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Factors Affecting ◽  
Fuzzy Correlation ◽  
Fuzzy Eigenvalues

Forty-seven influential factors of green residential costs were identified in this study, and then four categories of respondents estimated their influential degrees through a questionnaire survey. In order to analyze these factors more accurately, a fuzzy factor analysis model (FFAM) was proposed while the classical one has often been affected by interference information. After calculating fuzzy eigenvalues, fuzzy correlation cofficients and factor loadings matrix in the model, eight different common factors were extracted. Finally, the author put forward several effective measures for controlling green residential costs based on these common factors.

scholarly journals The contruction and evaluation of an attention questionnaire

2007 ◽  
Vol 33 (2) ◽  
Author(s):  
Johann M Schepers
Keyword(s):  
Factor Analysis ◽  
Locus Of Control ◽  
Factor Structure ◽  
Internal Control ◽  
Common Factor ◽  
Common Factors ◽  
Principal Factor ◽  
First Year ◽  
The Common ◽  
First Year University

The principal objective of the study was the construction and evaluation of an attention questionnaire. A corollary of the study was to determine the common factors between the Attention Questionnaire (AQ) and the Locus of Control Inventory (LCI). The AQ and the LCI (1999) were applied jointly to a sample of 1577 first-year university students. To start with the AQ was subjected to a principal factor analysis. It yielded three factors which were identified as Concentration Ability, Arousal and Distractibility. Three scales were formed which yielded reliabilities of 0,886, 0,757 and 0,863 respectively. Multiple battery factor analysis was used to establish the common factor structure of the two instruments. Autonomy and Internal Control were strongly related to Concentration Ability.

The Empirical Study of Listed Electric Power Companies’ Horizontal Merger with the Factor Analysis Model

2011 ◽  
Vol 204-210 ◽  
pp. 314-317
Author(s):  
Chong Ming Liu ◽  
Lin Wang
Keyword(s):  
Factor Analysis ◽  
Horizontal Merger ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
System Method ◽  
Comprehensive Performance ◽  
Power Enterprise ◽  
Significant Performance ◽  
The Index System ◽  
The Common

Merger and acquisition is currently the mainly way of power enterprise to pursue scale effect and improve competitiveness. So it is necessary to research the method to evaluate the merger effectiveness. In this paper, the common methods are analyzed, and a new factor analysis model based on the index-system-method is established. The comprehensive score gained from the model can stand for annual comprehensive performance of the merger company; then paired t-test the comprehensive scores of two different years; finally, whether the merger caused significant performance can be known.

Noniterative Estimation for the Multiple Battery Factor Analysis Model

1997 ◽  
Vol 24 (1) ◽  
pp. 3-18 ◽  
Author(s):  
Michael W. Browne ◽  
Krishna Tateneni
Keyword(s):  
Factor Analysis ◽  
Analysis Model ◽  
Factor Analysis Model
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