Study on the Optimal Use of Land from the Perspective of Soil Ecological Value

2014 ◽  
Vol 908 ◽  
pp. 366-369
Author(s):  
Yan Ling Hu ◽  
Zeng Lei Xi ◽  
Li Hong Li
Keyword(s):  
Factor Score ◽  
Factor Model ◽  
Research Area ◽  
Single Factor ◽  
Ecological Value ◽  
Soil Resources ◽  
Soil Function ◽  
Functional Value ◽  
Main Factors

In order to achieve the optimal use of soil resources,not only the soil function value in research area should be calculated scientifically,but also some practical methods and tools should be researched in planning.The article took five districts of Zhengzhou city as research area,and took functional value indexes data in factor model,then get four main factors,correlation between each other is very weak.According to the factor score,the article analysed how to use the conclusion comprehensively from two aspects: single factor and integrated factor.

scholarly journals Risk and Performance of European Green and Conventional Funds

2021 ◽  
Vol 13 (8) ◽  
pp. 4226
Author(s):  
Tiago Gonçalves ◽  
Diego Pimentel ◽  
Cristina Gaio
Keyword(s):  
Business Cycle ◽  
Mutual Funds ◽  
Factor Model ◽  
World Market ◽  
The European Union ◽  
Single Factor ◽  
Multifactor Models ◽  
Multifactor Model ◽  
Negative Results ◽  
The Business Cycle

This paper analyzes how the risk-adjusted returns of green funds compare to those of conventional funds, between the years 2005 and 2020 for the European Union countries. Additionally, we tested how the performance of green funds correlates to the business cycle, subdividing their performance through expansionary and recessionary times. The findings are summarized as follows: our regression results demonstrated green and conventional funds exhibiting negative abnormal adjusted-returns against the developed world market benchmark for the single-factor and multifactor models. For the European market benchmark, we found environmental mutual funds presenting a positive performance for both models and conventional funds displaying negative results for the single-factor model and positive results for the multifactor model. The factor loadings for green funds indicated a negative load on momentum, book-to-market (HML) and size (SMB) factors, revealing a higher exposure to big and value companies. Subsampling per business cycle exhibited green mutual funds providing higher risk-adjusted returns to investors during crisis periods and mixed results for the non-crisis periods.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

scholarly journals Cross-Cultural Evaluation of Antonovsky’s Orientation to Life Questionnaire: Comparison Between Australian, Finnish, and Turkish Young Adults

2018 ◽  
Vol 122 (2) ◽  
pp. 731-747 ◽  
Author(s):  
Timo Lajunen
Keyword(s):  
Cultural Differences ◽  
Factor Model ◽  
Well Being ◽  
Cross Cultural ◽  
Life Questionnaire ◽  
Single Factor ◽  
Scale Scores ◽  
Health And Well Being ◽  
Three Factor ◽  
Single Factor Model

Antonovsky’s concept “sense of coherence” (SOC) and the related measurement instrument “The Orientation to Life Questionnaire” (OLQ) has been widely applied in studies on health and well-being. The purpose of the present study is to investigate the cultural differences in factor structures and psychometric properties as well as mean scores of the 13-item form of Antonovsky’s OLQ among Australian (n = 201), Finnish (n = 203), and Turkish (n = 152) students. Three models of factor structure were studied by using confirmatory factor analysis: single-factor model, first-order correlated-three-factor model, and the second-order three-factor model. Results obtained in all three countries suggest that the first- and second-order three-factor models fitted the data better that the single-factor model. Hence, the OLQ scoring based on comprehensibility, manageability, and meaningfulness scales was supported. Scale reliabilities and inter-correlations were in line with those reported in earlier studies. Two-way analyses of variance (gender × nationality) with age as a covariate showed no cultural differences in SOC scale scores. Women got higher scores on the meaningfulness scale than men, and age was positively related to all SOC scale scores indicating that SOC increases in early adulthood. The results support the three-factor model of OLQ which thus should be used in Australia, Finland, and Turkey instead of a single-factor model. Need for cross-cultural studies taking into account cultural correlates of SOC and its relation to health and well-being indicators as well as studies on gender differences in the OLQ are emphasized.

scholarly journals An Analysis and Comparison of Multi-Factor Asset Pricing Model Performance during Pandemic Situations in Developed and Emerging Markets

Mathematics ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 142
Author(s):  
Konstantin B. Kostin ◽  
Philippe Runge ◽  
Michel Charifzadeh
Keyword(s):  
Emerging Markets ◽  
Factor Model ◽  
Five Factor Model ◽  
Emerging Market ◽  
Model Performance ◽  
Research Area ◽  
Emerging Countries ◽  
Developed Markets ◽  
The Cost ◽  
Three Factor

This study empirically analyzes and compares return data from developed and emerging market data based on the Fama French five-factor model and compares it to previous results from the Fama French three-factor model by Kostin, Runge and Adams (2021). It researches whether the addition of the profitability and investment pattern factors show superior results in the assessment of emerging markets during the COVID-19 pandemic compared to developed markets. We use panel data covering eight indices of developed and emerging countries as well as a selection of eight companies from these markets, covering a period from 2000 to 2020. Our findings suggest that emerging markets do not generally outperform developed markets. The results underscore the need to reconsider the assumption that adding more factors to regression models automatically yields results that are more reliable. Our study contributes to the extant literature by broadening this research area. It is the first study to compare the performance of the Fama French three-factor model and the Fama French five-factor model in the cost of equity calculation for developed and emerging countries during the COVID-19 pandemic and other crisis events of the past two decades.

Constructing dynamic life tables with a single-factor model

2020 ◽  
Vol 43 (2) ◽  
pp. 787-825
Author(s):  
David Atance ◽  
Alejandro Balbás ◽  
Eliseo Navarro
Keyword(s):  
Factor Model ◽  
Life Tables ◽  
Single Factor ◽  
Dynamic Life Tables ◽  
Single Factor Model

Validation of a German-language core self-evaluations scale

2010 ◽  
Vol 38 (2) ◽  
pp. 209-225 ◽  
Author(s):  
Tobias Heilmann ◽  
Klaus Jonas
Keyword(s):  
Life Satisfaction ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Factor Model ◽  
German Language ◽  
Item Pool ◽  
Single Factor ◽  
Factor Solution ◽  
Personality Item ◽  
Core Self

In this study the validation of a German-language Core Self-Evaluations Scale (CSES; Judge, Erez, Bono, & Thoresen, 2003) is presented. Core self-evaluations are fundamental appraisals that individuals hold about their own capability, effectiveness, and worthiness as a person (Judge et al., 2003). Data were collected from 2 samples, 200 from the workforce and 134 students. The data supported the underlying single-factor solution. The German-language CSES (G-CSES) was found to be reliable and shows convergent validity with regard to internality (Krampen, 1981) and International Personality Item Pool (IPIP40) neuroticism, extraversion, and conscientiousness scales (Hartig, Jude, & Rauch, 2003) and discriminant validity with regard to the IPIP40 openness scale. The scale correlates significantly with job satisfaction and life satisfaction. Additionally, the G-CSES is incrementally valid over and above traits of the 5-factor model of personality.

Experiment and Study of Light Truck Longitudinal Braking Friction Coefficient

2013 ◽  
Vol 779-780 ◽  
pp. 935-938
Author(s):  
Gui Fan Zhao ◽  
Ke Qing ◽  
Zhen Zhang ◽  
Shen Si Wang ◽  
Hong Yuan Xiao
Keyword(s):  
Friction Coefficient ◽  
Orthogonal Experiment ◽  
Vehicle Speed ◽  
Single Factor ◽  
Light Truck ◽  
Light Trucks ◽  
Main Factors ◽  
Driving Conditions ◽  
Factor Variable ◽  
Variation Tendency

The driving conditions of commercial trucks are very complex, therefore, the study of trucks longitudinal braking friction coefficient is difficult. Domestic research in this area is still in blank. The factors of light trucks longitudinal braking friction coefficient are researched, with the orthogonal experiment of different factors and levels. From the orthogonal experiment, how many main factors affect the longitudinal braking friction coefficient is acquired. After that, perform the experiment of longitudinal braking friction coefficient under the condition of single factor variable , such as, vehicle speed, load. From the results, variation tendency of every single factor variable is obtained.

scholarly journals Apathy and Depression: Separate Factors in Parkinson's Disease

2011 ◽  
Vol 17 (6) ◽  
pp. 1058-1066 ◽  
Author(s):  
Lindsey Kirsch-Darrow ◽  
Michael Marsiske ◽  
Michael S. Okun ◽  
Russell Bauer ◽  
Dawn Bowers
Keyword(s):  
Beck Depression Inventory ◽  
Factor Model ◽  
Treatment Options ◽  
Somatic Complaints ◽  
Differential Treatment ◽  
Single Factor ◽  
Nested Models ◽  
Confirmatory Factor ◽  
Dysphoric Mood ◽  
Better Than

AbstractThe objective of this study was to test the hypothesis that apathy and depression are dissociable in Parkinson disease (PD) by conducting a confirmatory factor analysis (CFA) of items from two commonly used mood scales. A total of 161 non-demented PD patients (age = 64.1; ± 8.4 years) were administered the Apathy Scale and the Beck Depression Inventory-II. Items were hypothesized to load onto four factors: (1) an apathy factor representing loss of motivation, (2) dysphoric mood factor representing sadness and negativity, (3) loss of interest/pleasure factor representing the features common to both apathy and depression, and (4) a somatic factor representing bodily complaints. Results indicated a good fit for the overall CFA model, χ2 (128, N = 146) = 194.9; p<.01. RMSEA was .060 (p = .16). The four-factor model was significantly better than all alternative nested models at p < .001, including an overarching single factor model, representing “depression.” Results support the concept that apathy and depression are discrete constructs. We suggest a “factor based” scoring of the Apathy Scale and Beck Depression Inventory-II that disentangles symptoms related to apathy, depression, overlapping symptoms, and somatic complaints. Such scoring may be important in providing useful information regarding differential treatment options. (JINS, 2011, 17, 1058–1066)

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