Structural Equation Modeling Facilitates Transdisciplinary Research on Agriculture and Climate Change

Crop Science ◽  
2014 ◽  
Vol 54 (2) ◽  
pp. 475-483 ◽  
Author(s):  
Richard. G. Smith ◽  
Adam S. Davis ◽  
Nicholas R. Jordan ◽  
Lesley W. Atwood ◽  
Amanda B. Daly ◽  
...  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Transdisciplinary Research ◽  
Equation Modeling

scholarly journals The Prospective Consumers of the Indonesian Green Aviation Initiative for Sustainable Development in Air Transportation

2018 ◽  
Vol 10 (6) ◽  
pp. 1772 ◽  
Author(s):  
Ismi Rajiani ◽  
Sebastian Kot
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Structural Equation Modeling ◽  
Greenhouse Gas ◽  
Structural Equation ◽  
Focal Point ◽  
Air Transportation ◽  
Equation Modeling ◽  
Innovation Model ◽  
The Relationship

The Indonesia government’s pledge on moderation climate change and greenhouse gas decline will affect the development of energy and transportation. However, shifting to these new green products is naturally problematic. Recognizing the prospective customer is even more challenging if there is no prediction base. This study is concentrated on discerning the inclinations to forecast the potential consumers by applying Schwartz’s Portrait Value Questionnaire (PVQ), mediated with three established groups, namely: the (1) LOHAS (Lifestyle of Health and Sustainability); (2) traditionalists and (3) career-oriented. By referring to five diffusions of an innovation model, the adopters who are prospectively using the green aviation are assessed. The negative path to technology enthusiast and visionaries denote no market. However, if these two niches are found, they will become the focal point for segmenting the market. The relationship among the constructs is assessed using structural equation modeling on 178 samples that are residing in main cities of Indonesia.

scholarly journals Farmers’ Intention to Climate Change Adaptation in Agriculture in the Red River Delta Biosphere Reserve (Vietnam): A Combination of Structural Equation Modeling (SEM) and Protection Motivation Theory (PMT)

2019 ◽  
Vol 11 (10) ◽  
pp. 2993 ◽  
Author(s):  
The Anh Luu ◽  
An Thinh Nguyen ◽  
Quoc Anh Trinh ◽  
Van Tuan Pham ◽  
Ba Bien Le ◽  
...  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Climate Change Adaptation ◽  
Structural Equation ◽  
Biosphere Reserve ◽  
Protection Motivation Theory ◽  
Red River ◽  
Equation Modeling ◽  
Red River Delta ◽  
Climate Risks

Coastal communities living in the low delta areas of Vietnam are increasingly vulnerable to tropical storms and related natural hazards of global climate change. Particularly in the Red River Delta Biosphere Reserve (RRDBR), farmers change the crop structure and diversify agricultural systems to adapt to the changing climate. The paper deals with a quantitative approach combined with behavior theories and surveyed data to analyze farmers’ intention to climate change adaptation in agriculture. Based on the Protection Motivation Theory (PMT), seven constructs are developed to a questionnaire surveying 526 local farmers: risk perception, belief, habit, maladaptation, subjective norm, adaptation assessment, and adaptation intention. Structural Equation Modeling (SEM) is implemented to extract eight factors and to quantify the relationship between protective behavior factors with the adaptation intention of the surveyed farmers. Two bootstrap samples of sizes 800 and 1200 are generated to estimate the coefficients and standard errors. The SEM result suggests a regional and three local structural models for climate change adaptation intention of farmers living in the RRDBR. Farmers show a higher adaptation intention when they perceive higher climate risks threatening their physical health, finances, production, social relationships, and psychology. In contrast, farmers are less likely to intend to adapt when they are subject to wishful thinking, deny the climate risks, or believe in fatalism.

scholarly journals Influence of Religion, Culture and Education on Perception of Climate Change and its Implications: Applying Structural Equation Modeling (SEM)

2019 ◽  
Vol 14 (9) ◽  
pp. 1303-1308
Author(s):  
Daisuke Sasaki ◽  
Irene Taafaki ◽  
Takuia Uakeia ◽  
Jennifer Seru ◽  
Yolanda McKay ◽  
...  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Basic Structure ◽  
Marshall Islands ◽  
Equation Modeling ◽  
Path Coefficient ◽  
The Republic ◽  
Culture Education ◽  
International Collaborative Research

Currently, structural equation modeling (SEM) is widely used in the discipline of social sciences because of its capability in exploring causal relationships among variables. By applying SEM, this study aims to verify the hypothesis that there exist three fundamental factors (religion, culture, education) that influence the perception of climate change. The researchers took advantages of the output results of the questionnaire survey that had been conducted both in Majuro, the Republic of the Marshall Islands (RMI) and in Tarawa, Republic of Kiribati, in an international collaborative research project titled “How Religion, Culture and Education Influence the Perception of People about Climate Change.” The results indicated that the two cases, namely RMI and Kiribati, were similar; that is the basic structure of both cases in the background of climate change bears some resemblance. Meanwhile, it should be noted that the path coefficient from education to the perception of climate change in the case of Kiribati (0.86) is much higher than that in the case of RMI (0.47). Thus, it is implied that education may significantly influence the perception of people about climate change and its implications, both in RMI and Kiribati. Based on this finding, it is advocated that further efforts should be devoted to education so that the perception of people about climate change and its implications can get much clearer.

scholarly journals MEASURING THE DETERMINANTS OF ADAPTIVE CAPACITY TO UNDERSTAND THE VULNERABILITY RISK AMONG THE RIVERBANK EROSION AFFECTED HOUSEHOLDS IN BANGLADESH: A STRUCTURAL EQUATION MODELING (SEM) APPROACH

2021 ◽  
Vol 9 (10) ◽  
pp. 1323-1336
Author(s):  
Israt Zahan ◽  
Keyword(s):  
Climate Change ◽  
Structural Equation Modeling ◽  
Adaptive Capacity ◽  
Structural Equation ◽  
Local Level ◽  
Adaptation Strategies ◽  
Equation Modeling ◽  
Future Research ◽  
Riverbank Erosion ◽  
The Impact

Bangladesh is one of the most disaster-prone countries in the world. In particular, its riverine dwellers face continuous riverbank erosion, frequent flooding, and other adverse effects of climate change which makes the life of people more vulnerable. In order to assess adaptive capacity, understanding of how different households comprehend climate change is crucial. This paper aims to measure the determinants of adaptive capacityto understand the vulnerability risk among the riverbank erosion affected households. An integrated model was proposed with the constructs derived from Awareness-Ability-Action (AAA) and Socioeconomic-Sociopolitical and Institutional-Socioecological (SSS) model. A structured questionnaire survey was used to collect data from 300 participants who were affected by natural disaster specifically river erosion. The proposed research model was tested using the partial least-squares (PLS) method, a statistical analysis technique based upon structural equation modeling (SEM).The results show that the loss of farming land and all levels of riparian households impacted severely by riverbank erosion and forced into a low livelihood status, strong adaptive capacity would reduce vulnerability risk in the affected areas, community-level vulnerability measurement enhances communities understandings, build capacity, make aware, and allow them to identify appropriate locally adaptation strategies, and local level adaptation strategies may reduce the impact of such hazards on all sorts of vulnerability risk among rural households. The nature of this study may restrict its generalizability to other research settings. Future research may be necessary to validate the findings by applying this model in the vulnerability context in other developing countries. This research method and results would generate new insights with respect to planning the sustainable development goal and provide a reference for decision-making.

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.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Sign in / Sign up

Export Citation Format

Share Document