Advances in Factor Analysis and Structural Models

1981 ◽  
Vol 83 (1) ◽  
pp. 136
Author(s):  
Kjeld Møller Pedersen ◽  
Karl G. Jöreskog ◽  
Dag Sörbom ◽  
Kjeld Moller Pedersen ◽  
Karl G. Joreskog ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Models

Adjustment Disorder: Empirical Study of a New Diagnostic Concept for Icd-11 in the General Population in Lithuania

2016 ◽  
Vol 40 ◽  
pp. 20-25 ◽  
Author(s):  
P. Zelviene ◽  
E. Kazlauskas ◽  
J. Eimontas ◽  
A. Maercker
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Factor Model ◽  
Structural Models ◽  
Adjustment Disorder ◽  
International Classification Of Diseases ◽  
Confirmatory Factor ◽  
Classification Of Diseases ◽  
Core Symptoms

AbstractObjectiveAdjustment disorder (AD) is one of the most debated diagnoses in psychiatry since it has been recognised as vaguely defined and causing a lot of difficulties in clinical practice. We aimed to analyse the structure of adjustment disorder based on International Classification of Diseases (ICD)–11 proposals by the WHO ICD-11 Working Group on the Classification of Disorders Specifically Associated with Stress in the general population in Lithuania. Three structural models of adjustment disorder were tested using Confirmatory Factor Analysis (CFA).MethodData from the sample of 649 participants who experienced at least one significant stressor during the last two years was included in CFA analysis. Stressor exposure and AD symptoms were measured with the Lithuanian version of the Adjustment Disorder New Module (ADNM-20).ResultsThe CFA analysis revealed that the two core factor model of the AD with two core symptoms: preoccupation and failure to adapt fitted data the best in contrast to other two models.ConclusionThe study supports the ICD-11 proposal for the structure of adjustment disorder with two core symptoms: preoccupation and failure to adapt. Further studies are needed to analyse the structure of AD in other populations.

An Evaluation of Competing Structural Models of Adolescents' Concerns: Chi-Squared, Fit Indices, and Parsimony

1996 ◽  
Vol 79 (3) ◽  
pp. 859-863 ◽  
Author(s):  
Claudio Violato
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Structural Models ◽  
Original Model ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Chi Squared

In 1993 Adwere-Boamah and Curds replicated a 1988 study by Violato and Holden of a four-factor model of adolescents' concerns. Employing confirmatory factor analysis, they concluded that the model did not fit the data well. In a re-analysis, it is suggested in the present paper that on the contrary, the results support the original model.

scholarly journals Factors Affecting Students’ Satisfaction Towards Bus Services in Campus

2021 ◽  
Vol 6 (2) ◽  
pp. 175
Author(s):  
Masnita Misiran ◽  
Hasimah Sapiri ◽  
Zahayu Md Yusof ◽  
Massudi Mahmuddin
Keyword(s):  
Factor Analysis ◽  
Public Transport ◽  
Structural Models ◽  
Critical Factor ◽  
Factors Affecting ◽  
Transport Services ◽  
Bus Services ◽  
The University ◽  
Students Satisfaction ◽  
Public Transport Services

The reliability of public transport services (e.g., bus) is a critical factor to be considered among public transport users. This factor is important for the consequences that come with unreliability will significantly increase unnecessary anxiety and discomfort. Such consequences include additional waiting time, late arrival at destinations, and missed connections. The ability of the system to follow the planned schedule and maintain consistent travel time are some of the factors that need to be in focus. In this study, we investigated satisfaction among students who reside in campus towards bus services provided by the university. Factor analysis and structural models were developed to achieve the research objective. Three factors havesignificant relationships with students’ satisfaction. The finding also indicated that bus services are an important requirement of the on-campus students.

scholarly journals Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of psychopathology.

2022 ◽  
Author(s):  
Ashley L. Greene ◽  
Ashley L. Watts ◽  
Miriam K. Forbes ◽  
Roman Kotov ◽  
Robert F. Krueger ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Models

scholarly journals Misbegotten Methodologies and Forgotten Lessons from Tom Swift’s Electric Factor Analysis Machine: A Demonstration with Competing Structural Models of Psychopathology

2021 ◽  
Author(s):  
Ashley Lauren Greene ◽  
Ashley L. Watts ◽  
Miriam K. Forbes ◽  
Roman Kotov ◽  
Robert Krueger ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Model Misspecification ◽  
Theory Development ◽  
Structural Models ◽  
General Factor ◽  
Psychological Constructs ◽  
Methodological Choices ◽  
Bifactor Models ◽  
Specific Factors ◽  
P Factor

Confirmatory factor analysis (CFA) and its bifactor models are popular in empirical investigations of the factor structure of psychological constructs. CFA offers straightforward hypothesis testing but has notable pitfalls, such as the imposition of strict assumptions (i.e., simple structure) that obscure unmodeled complexity. Due to the limitations of bifactor CFAs, they have yielded anomalous results across samples and studies that suggest model misspecification (e.g., evaporating specific factors and unexpected loadings). We propose the use of exploratory factor analysis (EFA) to evaluate the structural validity of CFA solutions—either before or after the estimation of more restrictive CFA models—to (1) identify model misspecifications that may drive anomalous estimates and (2) confirm CFA models by examining whether hypothesized structures emerge with limited researcher input. We evaluated the degree to which predominant factor structures were invariant across contexts along the exploratory-confirmatory continuum and demonstrate how poor methodological choices can distort results and impede theory development. All models fit well, but there were numerous differences in replicability and substantive interpretability. Several similarities emerged between bifactor CFA and EFA models, including evidence of overextraction, the collapse of specific factors onto the general factor, and subsequent shifts in how the general factor was defined. We situate these methodological shortcomings within the broader literature on structural models of psychopathology, articulate implications for theories (such as the p-factor) that are borne out of factor analysis, outline several remedies for problems encountered when performing exploratory bifactor analysis, and propose alternative specifications for confirmatory bifactor models.

scholarly journals Reflections on Perceived Online Service Quality:  Structure, Antecedents, Ontology, Theory and  Measurement

2021 ◽  
Author(s):  
◽  
Mary Tate
Keyword(s):  
Factor Analysis ◽  
Service Quality ◽  
Exploratory Factor Analysis ◽  
Structural Equation Models ◽  
Measurement Theory ◽  
Explanatory Power ◽  
Structural Models ◽  
Perceived Usefulness ◽  
Online Service ◽  
Attitudes And Perceptions

<p>Online services are becoming increasingly ubiquitous, and this growth has been accompanied by increased business interest in measuring and managing online service quality. This interest is also reflected in a large number of academic studies. Despite this, there is very little consensus about the dimensions and antecedents of perceived online service quality (POLSQ). We consider two possible reasons for this: first that the phenomenon of online service quality is changing as new technology affordances arise, so instability in the dimensionality would be a result of changes in the underlying phenomenon. Second, the theoretical approach and assumptions that studies of online service quality are usually founded on is flawed. My research questions are: 1) what is the structure of perceived online service quality? 2) What are the antecedents of perceived online service quality? 3) What is the ontology of perceived online service quality? 4) What are the most appropriate modelling and measurement methods for measuring online service quality quantitatively, and what insights can be gained from psychometrics?5) What insights does this offer IS researchers for the measurement of user attitudes and perceptions towards technologies? We find that leading models and instruments tend to be based on exploratory factor analysis and have not been informed by advances in measurement theory, particularly co-variance-based structural equation models, and a sub-set of those models known as multi-indicator structural models. We apply recent advances in measurement theory to a dataset. We apply and compare four different modelling methods, exploratory factor analysis, confirmatory factor analysis, formative models, and multi-indicator structural models, and discuss the theoretical foundations of each method. We conclude that POLSQ may not have a separate ontology as a multi-dimensional construct, but overall affect towards the service quality of a website is likely to be the result of the perceived usefulness, perceived ease of use, and perceived trust towards the service. This finding supports the explanatory power of information systems theories over marketing and consumer behaviour theories when studying this phenomenon. We find that user's perceptions of detailed affordances of the service, such as the relevance and timeliness of the information are antecedent to overall affect towards the service, rather than being additional dimensions of POLSQ. We find that widely used techniques such as exploratory factor analysis have serious drawbacks. We find that multi-indicator structural models provide an accurate and nuanced method for modelling the formation of attitudes and perceptions towards technology, which is also well-grounded in theory from social psychology. Finally, we suggest that the approach we take to measuring POLSQ is has potential value for other research which aims to measure customer attitudes and perceptions towards technologies.</p>

STRUCTURE OF Si(001)-(4×3)-In SURFACE STUDIED BY X-RAY PHOTOELECTRON DIFFRACTION

1999 ◽  
Vol 06 (06) ◽  
pp. 1097-1102 ◽  
Author(s):  
M. SHIMOMURA ◽  
T. NAKAMURA ◽  
K.-S. KIM ◽  
T. ABUKAWA ◽  
J. TANI ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Multiple Scattering ◽  
Structural Models ◽  
Single Scattering ◽  
Geometric Parameters ◽  
X Ray Diffraction ◽  
X Ray ◽  
Photoelectron Diffraction ◽  
R Factor

X-ray photoelectron diffraction (XPD) patterns of In 3d core levels have been measured for the Si(001)-(4×3)-In surface. An R factor analysis with single-scattering and multiple-scattering simulations of In 3d XPD patterns was performed for three structural models proposed so far. Only the model proposed by surface X-ray diffraction [Appl. Surf. Sci.123/124, 104 (1998)] appeared to give a reasonably small R factor when the geometric parameters were modified from the original ones.

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