LINEAR STRUCTURAL RELATIONSHIPS WITH LATENT VARIABLES: THE LISREL MODEL

1987 ◽  
Vol 39 (3) ◽  
pp. 317-326 ◽  
Author(s):  
Martin Cadwallader
Keyword(s):  
Latent Variables ◽  
Structural Relationships ◽  
Lisrel Model

scholarly journals Concerns or Desires Post-Pandemic: An Extended MGB Model for Understanding South Korean Residents’ Perceptions and Intentions to Travel to China

2021 ◽  
Vol 18 (5) ◽  
pp. 2542
Author(s):  
Guanghui Qiao ◽  
Xiao-li Zhao ◽  
Luqi Xin ◽  
Seokchool Kim
Keyword(s):  
Mass Media ◽  
Latent Variables ◽  
Structural Equation ◽  
Mainland China ◽  
Negative Influence ◽  
Positive Influence ◽  
Extended Model ◽  
South Korean ◽  
Structural Relationships ◽  
China Post

In this study, we examined South Korean residents’ travel-related behavioural intention for mainland China post-COVID-19 using an extended model of goal-directed behaviour. To do so, we integrated South Korean residents’ perceptions of country image (PCI), mass media, and concerns about travel into the framework of the original model of goal-directed behaviour (MGB). Structural equation modelling was used to identify the structural relationships among the latent variables. The results show that mass media had a positive influence on South Korean residents’ perception of China’s image, a negative influence on residents’ concerns, and a positive influence on residents’ behavioural intentions for travel overseas. Meanwhile, PCI had a positive influence on residents’ attitude towards travel overseas. The theoretical and practical implications of the study are discussed.

Toward Measuring Adolescent Environmental Perception

1999 ◽  
Vol 4 (3) ◽  
pp. 139-151 ◽  
Author(s):  
Franz X. Bogner ◽  
Michael Wiseman
Keyword(s):  
Structural Equation Modeling ◽  
Secondary School ◽  
Latent Variables ◽  
Structural Equation ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Environmental Perceptions ◽  
Factor Analyses ◽  
Structural Relationships ◽  
Proposed Model

This study presents a scale developed to measure two dimensions of environmental perceptions—reactions towards preservation and towards utilizing nature and/or the environment—consisting of two and three subscales, respectively. The empirical part consists of a reanalysis of data from four national samples, now analyzed together as one sample. The results of the four subsamples (of some 4,500 secondary school pupils in total) have been published elsewhere as bilateral studies. The aim of the present analysis is to identify a scale that is valid for the entire European sample: By means of factor analyses and structural equation modeling 20 items were extracted. Two latent variables, “Utilization” and “Preservation,” were hypothesized and related in a causal fashion, whereby “Utilization” influences “Preservation.” By application of the methods of linear structural relationships, the proposed model yields a good fit to the data.

scholarly journals The influence of emotional intelligence on diversity complexity cognition and the attitude towards diversity

2011 ◽  
Vol 42 (3) ◽  
pp. 37-48 ◽  
Author(s):  
J. M. Kamps ◽  
A. S. Engelbrecht
Keyword(s):  
Emotional Intelligence ◽  
South African ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Item Analysis ◽  
Model Fit ◽  
Business Context ◽  
Measurement Models ◽  
Structural Relationships

The aim of the study was to develop and validate a theoretical model explicating the structural relationships between diversity complexity cognition, emotional intelligence and a positive attitude towards diversity in the South African business context. The sample selected for the study consisted of 237 employees from various South African organisations. The content and structure of the latent variables were investigated by means of item analysis, as well as confirmatory and exploratory factor analysis. The results of structural equation modelling (SEM) demonstrated good model fit for the refined measurement models and the structural model. A positive relationship was found between emotional intelligence and the latent variables of valuing individual differences and positive perceptual depth. The practical implications were highlighted to ultimately inform management seeking to build an ethically diverse and productive workforce that values the individuality of others.

Institutional-driven dimensions and the capacity to start a business

2017 ◽  
Vol 34 (6) ◽  
pp. 787-813 ◽  
Author(s):  
Jose Carlos M. Pinho ◽  
Douglas Thompson
Keyword(s):  
Latent Variables ◽  
Cultural Context ◽  
Structural Equation ◽  
Synergistic Effects ◽  
Data Sets ◽  
Content Type ◽  
Structural Relationships ◽  
Sample Data ◽  
National Expert ◽  
Framework Conditions

Purpose Drawing insights from institutional theory, the purpose of this paper is to analyse the synergistic effects of a range of entrepreneurial framework conditions (EFCs) on the capacity to start a business within different types of economies. Design/methodology/approach This is a preliminary study that uses data from the National Expert Survey-Global Entrepreneurship Monitor (NES-GEM). Specifically, the data were gathered through the application of a questionnaire to National Entrepreneurship Experts in a cross-cultural context. Two countries – Portugal and Angola – are analysed. Findings Among the five structural relationships involving institutional drivers analysed, four are found to be statistically significant in the Portuguese sample. Three are found to be statistically significant in the Angolan sample. The results from the multigroup analysis did not support most of the proposed relationship between the two countries. Research limitations/implications This study is limited by the number and type of countries selected and by the fact that each sub-sample covers several years. It also relies on the perceptions of national experts on entrepreneurship covering several areas. Another limitation is based on the fact that this study emphasises mainly a macro perspective. Therefore, interpretation of these findings and their generalisation should be made with caution. Originality/value First, this study addresses an area of the GEM model that is believed to be under-researched (NES). Second, the model presented is based on latent variables and analysed through a variance-based method, PLS-structural equation modelling. Third, this study compares the proposed relationships between two sub-sample data sets that represent a factor-driven economy and an innovation-driven economy. Fourth, and most importantly, this study responds to the call for the need to use a new procedure for measurement invariance assessment for composite modelling.

scholarly journals Structural Relationships among Strategic Experiential Modules, Motivation, Serious Leisure, Satisfaction and Quality of Life in Bicycle Tourism

2021 ◽  
Vol 18 (23) ◽  
pp. 12731
Author(s):  
Rui Guo ◽  
Xiaoying Liu ◽  
Hakjun Song
Keyword(s):  
Quality Of Life ◽  
Statistical Analysis ◽  
Latent Variables ◽  
Positive Influence ◽  
Qinghai Lake ◽  
Serious Leisure ◽  
Effective Measure ◽  
Structural Relationships ◽  
Tourism Motivation

It seems that people’s quality of life can be positively influenced through bicycle tourism. Bicycle tourism can be an effective measure to enhance serious leisure, tourism satisfaction, and quality of life. To verify this empirically, a survey was conducted of bicycle tourists who visited Qinghai Lake in China during an international road bike race. The purpose of the present research is to prove the association between latent variables related to bicycle tourism through statistical analysis. For this, hypothetical relationships based on tourism motivation, serious leisure, tourism satisfaction, and quality of life were presented as research models. As a result of empirical analysis, it was analyzed that friends and nature had an effect on serious leisure among the motivation of bicycle tourism. In addition, it was found that the level of serious leisure for bicycle tourism exerted a positive influence on the satisfaction and quality of life. This suggests that bicycle tourism can improve the quality of life during travel to Qinghai lake by bicycle and revealed the crucial role in relationships is serious leisure.

Neurofilaments and Paired Helical Filaments

1985 ◽  
Vol 43 ◽  
pp. 740-743
Author(s):  
J. Metuzals
Keyword(s):  
Animal Model ◽  
Posttranslational Modifications ◽  
Posttranslational Modification ◽  
Giant Axon ◽  
Paired Helical Filaments ◽  
Squid Giant Axon ◽  
In Vitro Experiments ◽  
Thin Sections ◽  
Structural Relationships

It has been demonstrated that the neurofibrillary tangles in biopsies of Alzheimer patients, composed of typical paired helical filaments (PHF), consist also of typical neurofilaments (NF) and 15nm wide filaments. Close structural relationships, and even continuity between NF and PHF, have been observed. In this paper, such relationships are investigated from the standpoint that the PHF are formed through posttranslational modifications of NF. To investigate the validity of the posttranslational modification hypothesis of PHF formation, we have identified in thin sections from frontal lobe biopsies of Alzheimer patients all existing conformations of NF and PHF and ordered these conformations in a hypothetical sequence. However, only experiments with animal model preparations will prove or disprove the validity of the interpretations of static structural observations made on patients. For this purpose, the results of in vitro experiments with the squid giant axon preparations are compared with those obtained from human patients. This approach is essential in discovering etiological factors of Alzheimer's disease and its early diagnosis.

Structural relationships in the synthesis of cubic boron nitride thin films by ion-assisted deposition

1994 ◽  
Vol 52 ◽  
pp. 638-639
Author(s):  
D. L. Medlin ◽  
T. A. Friedmann ◽  
P. B. Mirkarimi ◽  
M. J. Mills ◽  
K. F. McCarty
Keyword(s):  
Boron Nitride ◽  
Ion Irradiation ◽  
Cubic Boron Nitride ◽  
Film Stress ◽  
Bonded Phases ◽  
Structural Relationships ◽  
Precursor Material ◽  
Pressure Synthesis ◽  
Microstructure Of The Material

The allotropes of boron nitride include two sp2-bonded phases with hexagonal and rhombohedral structures (hBN and rBN) and two sp3-bonded phases with cubic (zincblende) and hexagonal (wurtzitic) structures (cBN and wBN) (Fig. 1). Although cBN is synthesized in bulk form by conversion of hBN at high temperatures and pressures, low-pressure synthesis of cBN as a thin film is more difficult and succeeds only when the growing film is simultaneously irradiated with a high flux of ions. Only sp2-bonded material, which generally has a disordered, turbostratic microstructure (tBN), will form in the absence of ion-irradiation. The mechanistic role of the irradiation is not well understood, but recent work suggests that ion-induced compressive film stress may induce the transformation to cBN.Typically, BN films are deposited at temperatures less than 1000°C, a regime for which the structure of the sp2-bonded precursor material dictates the phase and microstructure of the material that forms from conventional (bulk) high pressure treatment.

Facet Theory

1998 ◽  
Vol 3 (1) ◽  
pp. 13-36 ◽  
Author(s):  
Ruth Guttman ◽  
Charles W. Greenbaum
Keyword(s):  
Data Analysis ◽  
Animal Behavior ◽  
Infant Development ◽  
Facet Theory ◽  
Structural Relationships ◽  
Future Challenges ◽  
Spatial Configurations ◽  
Multidimensional Methods ◽  
Definition Of ◽  
Scalogram Analysis

This article gives an overview of Facet Theory, a systematic approach to facilitating theory construction, research design, and data analysis for complex studies, that is particularly appropriate to the behavioral and social sciences. Facet Theory is based on (1) a definitional framework for a universe of observations in the area of study; (2) empirical structures of observations within this framework; (3) a search for correspondence between the definitional system and aspects of the empirical structure for the observations. The development of Facet Theory and Facet Design is reviewed from early scale analysis and the Guttman Scale, leading to the concepts of “mapping sentence,” “universe of content,” “common range,” “content facets,” and nonmetric multidimensional methods of data analysis. In Facet Theory, the definition of the behavioral domain provides a rationale for hypothesizing structural relationships among variables employed in a study. Examples are presented from various areas of research (intelligence, infant development, animal behavior, etc.) to illustrate the methods and results of structural analysis with Smallest Space Analysis (SSA), Multidimensional Scalogram Analysis (MSA), and Partial Order Scalogram Analysis (POSA). The “radex” and “cylindrex” of intelligence tests are shown to be outstanding examples of predicted spatial configurations that have demonstrated the ubiquitous emergence of the same empirical structures in different studies. Further examples are given from studies of spatial abilities, infant development, animal behavior, and others. The use of Facet Theory, with careful construction of theory and design, is shown to provide new insights into existing data; it allows for the diagnosis and discrimination of behavioral traits and makes the generalizability and replication of findings possible, which in turn makes possible the discovery of lawfulness. Achievements, issues, and future challenges of Facet Theory are discussed.

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