A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables

1995 ◽  
Vol 32 (3) ◽  
pp. 336-347 ◽  
Author(s):  
Robert A. Ping

The author proposes an alternative estimation technique for quadratic and interaction latent variables in structural equation models using LISREL, EQS, and CALIS. The technique specifies these variables with single indicants. The loading and error terms for the single indicants can be specified as constants in the structural model. The author's technique is shown to perform adequately using synthetic data sets.

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.


Author(s):  
Noelle J. Strickland ◽  
Raquel Nogueira-Arjona ◽  
Sean Mackinnon ◽  
Christine Wekerle ◽  
Sherry H. Stewart

Abstract. Self-compassion is associated with greater well-being and lower psychopathology. There are mixed findings regarding the factor structure and scoring of the Self-Compassion Scale (SCS). Using confirmatory factor analysis, we tested and conducted nested comparisons of six previously posited factor structures of the SCS. Participants were N = 1,158 Canadian undergraduates (72.8% women, 26.6% men, 0.6% non-binary; Mage = 19.0 years, SD = 2.3). Results best supported a two-factor hierarchical model with six lower-order factors. A general self-compassion factor was not supported at the higher- or lower-order levels; thus, a single total score is not recommended. Given the hierarchical structure, researchers are encouraged to use structural equation models of the SCS with two latent variables: self-caring and self-coldness. A strength of this study is the large sample, while the undergraduate sample may limit generalizability.


2019 ◽  
Vol 37 (2) ◽  
pp. 471-485 ◽  
Author(s):  
José-Manuel Tomás ◽  
Melchor Gutiérrez

La literatura especializada ofrece evidencias de que en todo el mundo las tasas de deserción universitaria son elevadas, generando inconvenientes para los propios estudiantes, para la institución a la que pertenecen y para la sociedad en general. Los determinantes del abandono de los estudios son diversos, considerando uno de los más importantes la satisfacción de los estudiantes con su entorno educativo. La satisfacción académica de los estudiantes depende en gran medida del clima motivacional del aula y de la satisfacción de las necesidades psicológicas básicas, fundamento de la teoría de la autodeterminación. En el marco teórico de la motivación autodeterminada y de la psicología positiva, el objetivo de este trabajo es analizar la capacidad predictiva del apoyo a la autonomía por los profesores sobre la satisfacción académica de los alumnos, mediado por la satisfacción de las necesidades psicológicas básicas de los estudiantes. Los participantes son 752 estudiantes universitarios dominicanos. Instrumentos: Percepción de Apoyo a la Autonomía por los Profesores, Satisfacción Necesidades de las Psicológicas Básicas de los Estudiantes, y Conectividad Académica. Los datos se analizan a través de dos Modelos de Ecuaciones Estructurales con variables latentes, uno con mediación total y otro con mediación parcial. Los resultados muestran que el apoyo a la autonomía se relaciona positivamente con la satisfacción de las necesidades psicológicas básicas; las necesidades básicas se relacionan positivamente con la satisfacción académica; y también aparece un efecto positivo y directo del apoyo a la autonomía por los profesores sobre la satisfacción académica de los estudiantes universitarios. The specialized literature offers evidence that university dropout rates are high throughout the world, creating problems for the students themselves, for the institution to which they belong, and for society in general. The determining factors of dropout are diverse, considering the student satisfaction with their educational environment as one of the most important ones. There is also evidence that the students’ satisfaction with their academic environment depends to a large extent on the classroom motivational climate and the satisfaction of basic psychological needs, main elements of the self-determination theory. In the theoretical framework of self-determined motivation and positive psychology, the objective of this paper is to analyze the predictive capacity of teachers’ autonomy support on students’ academic satisfaction, mediated by the satisfaction of the students’ basic psychological needs. Participants are 752 Dominican university students. Instruments: Perceived Teachers’ Autonomy Support, Students’ Basic Psychological Needs Scale, and Academic Connectedness Scale. The data has been analyzed through two Structural Equation Models with latent variables, a total mediational model and a partial mediational model. The results show that support for autonomy is positively related to the satisfaction of basic psychological needs; that basic needs are positively related to academic satisfaction; and that there is also a positive and direct effect of autonomy support by teachers on university students’ academic satisfaction.


1981 ◽  
Vol 18 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Claes Fornell ◽  
David F. Larcker

The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addition to the known problems related to sample size and power, is that it may indicate an increasing correspondence between the hypothesized model and the observed data as both the measurement properties and the relationship between constructs decline. Further, and contrary to common assertion, the risk of making a Type II error can be substantial even when the sample size is large. Moreover, the present testing methods are unable to assess a model's explanatory power. To overcome these problems, the authors develop and apply a testing system based on measures of shared variance within the structural model, measurement model, and overall model.


1989 ◽  
Vol 26 (3) ◽  
pp. 271-284 ◽  
Author(s):  
Richard P. Bagozzi ◽  
Youjae Yi

New procedures are developed and illustrated for the analysis of experimental data with particular emphasis on MANOVA and MANCOVA designs. The authors begin with one-way designs, including overall tests of significance, step-down analyses, and the use of latent variables. Next they describe a general test of homogeneity and consider a procedure that is applicable even under conditions of heterogeneity. Two-way designs then are derived as special cases of the more general n-way case. Finally, advantages and disadvantages of the new methods are considered.


2020 ◽  
Vol 25 (2) ◽  
pp. 31
Author(s):  
Antonio Hervás ◽  
Pedro Pablo Soriano ◽  
Joan Guàrdia i Olmos ◽  
Maribel Peró ◽  
Roberto Capilla ◽  
...  

Currently, one of the challenges of universities is attracting talent in students, researchers, and teachers. The transition from high school to college requires a student to take a succession of decisions that will shape their future. For this reason, knowledge of the motivations of the students, their family, and their personal environment, to choose a particular degree and/or university to pursue their higher studies, would allow universities to efficiently adjust their recruitment strategies. In this article, a study was developed based on a structural equation model of the access to the Spanish Public University System (SUPE), which can help with supply and demand problems, recruitment actions and policies, and other strategic decisions. This was done through an extensive survey of first-year students of Spanish universities. The results allowed us to obtain the parameters of the model, which showed that the fit between the model and the data obtained were excellent at a global level and acceptable as well in all knowledge areas. The objective of the structural model was to provide a general view of the behavior of the students when deciding the degree and university in which they are going to study, and can help in the decision making of university leaders and to understand some behaviors of the Spanish Public University System.


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