Factor contribution to soil organic and inorganic carbon accumulation in the Loess Plateau: Structural equation modeling

Geoderma ◽  
2019 ◽  
Vol 352 ◽  
pp. 116-125 ◽  
Author(s):  
Wei Zhao ◽  
Rui Zhang ◽  
Hua Cao ◽  
Wenfeng Tan
Keyword(s):  
Structural Equation Modeling ◽  
Loess Plateau ◽  
Structural Equation ◽  
Inorganic Carbon ◽  
Carbon Accumulation ◽  
Equation Modeling ◽  
The Loess Plateau ◽  
Organic And Inorganic Carbon ◽  
Factor Contribution

The effects of afforestation on soil organic and inorganic carbon: A case study of the Loess Plateau of China

CATENA ◽  
2012 ◽  
Vol 95 ◽  
pp. 145-152 ◽  
Author(s):  
Ruiying Chang ◽  
Bojie Fu ◽  
Guohua Liu ◽  
Shuai Wang ◽  
Xueling Yao
Keyword(s):  
Loess Plateau ◽  
Inorganic Carbon ◽  
The Loess Plateau ◽  
Organic And Inorganic Carbon

scholarly journals Long-Term Enclosure Can Benefit Grassland Community Stability on the Loess Plateau of China

2020 ◽  
Vol 13 (1) ◽  
pp. 213
Author(s):  
Jing Liu ◽  
Xue Yang ◽  
Hossein Ghanizadeh ◽  
Qian Guo ◽  
Yongming Fan ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Structural Equation ◽  
Management Practice ◽  
Equation Modeling ◽  
Community Stability ◽  
The Loess Plateau ◽  
Ecological Stability ◽  
Grassland Community ◽  
Grassland Ecosystems

Fertilization and grazing are two common anthropogenic disturbances that can lead to unprecedented changes in biodiversity and ecological stability of grassland ecosystems. A few studies, however, have explored the effects of fertilization and grazing on community stability and the underlying mechanisms. We conducted a six-year field experiment to assess the influence of nitrogen (N) fertilization and grazing on the community stability in a long-term enclosure and grazing grassland ecosystems on the Loess Plateau. A structural equation modeling method was used to evaluate how fertilization and grazing altered community stability. Our results indicated that the community stability decreased in the enclosure and grazing grassland ecosystems with the addition of N. The community stability began to decline significantly at 4.68 and 9.36 N g m−2 year−1 for the grazing and enclosure grassland ecosystems, respectively. We also found that the addition of N reduced the community stability through decreasing species richness, but a long-term enclosure can alleviate its negative effect. Overall, species diversity can be a useful predictor of the stability of ecosystems confronted with disturbances. Also, our results showed that long-term enclosure was an effective grassland management practice to ensure community stability on the Loess Plateau of China.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

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