Linking Theory Construction and Theory Testing: Models with Multiple Indicators of Latent Variables

1986 ◽  
Vol 11 (1) ◽  
pp. 128-144 ◽  
Author(s):  
Marie Adele Hughes ◽  
R. Leon Price ◽  
Daniel W. Marrs
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Ange Wang ◽  
Hongzhi Guan ◽  
Yan Han ◽  
Yangliu Cao

The shared parking scheme improves the utilization rate of existing parking resources and contributes to the sustainable development of cities, but many private parking spaces that are not included in the shared parking scheme have a low utilization rate in China. In order to better promote the shared parking scheme, it is necessary to study the intention of the owners of private parking spaces to share their parking spaces. Therefore, this paper used the Unified Theory of Acceptance and Use of Technology (UTAUT) and Benefit-Risk Analysis Model (BRA) as the combined theoretical framework (C-UTAUT-BRA). Hypothesis testing using the Multiple Indicators and Multiple Causes (MIMIC) model was performed using an empirical assessment of the shared parking scheme in China. The results show that (1) the sharing behavioral intention (BI) is directly affected by perceived benefit (PB), perceived risk (PR), social influence (SI), and facilitating condition (FC) and indirectly affected by effort expectancy (EE), of which the total effect of PB is the largest; (2) exogenous variables have an indirect effect on BI through other psychological latent variables; among them, different sociodemographic and economic characteristics have a significant influence on different latent variables, while the built environment has no significant effect on latent variables. This research contributes to theory building in shared parking participation intention and informs business and government leaders on how to promote the shared parking scheme through the action mechanism of influencing factors on BI.


2021 ◽  
pp. 174569162097469
Author(s):  
Donald J. Robinaugh ◽  
Jonas M. B. Haslbeck ◽  
Oisín Ryan ◽  
Eiko I. Fried ◽  
Lourens J. Waldorp

In recent years, a growing chorus of researchers has argued that psychological theory is in a state of crisis: Theories are rarely developed in a way that indicates an accumulation of knowledge. Paul Meehl raised this very concern more than 40 years ago. Yet in the ensuing decades, little has improved. We aim to chart a better path forward for psychological theory by revisiting Meehl’s criticisms, his proposed solution, and the reasons his solution failed to meaningfully change the status of psychological theory. We argue that Meehl identified serious shortcomings in our evaluation of psychological theories and that his proposed solution would substantially strengthen theory testing. However, we also argue that Meehl failed to provide researchers with the tools necessary to construct the kinds of rigorous theories his approach required. To advance psychological theory, we must equip researchers with tools that allow them to better generate, evaluate, and develop their theories. We argue that formal theories provide this much-needed set of tools, equipping researchers with tools for thinking, evaluating explanation, enhancing measurement, informing theory development, and promoting the collaborative construction of psychological theories.


1970 ◽  
Vol 26 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Bharat Pokharel

Social scientists conduct research on two distinct but interrelated levels:conceptual-theoretical and observational-empirical. More precisely, social researches involve a constant interplay of two process: theory construction and theory testing. For example, it is a fact that in the last 100 years social mobility has increased. This fact in not merely based on random observation, but is an empirically verified statement about phenomena. This involves both a scientific observation and a predetermined conceptual-theoretical framework by which the observation is guided. In this article, the conceptual theoretical level of social research has been explained with the help of the basic elements such as concept and concept mapping.Key Words: Mapping; Social; ResearchTribhuvan University Journal Vol. XXVI, No. 1, 2009 Page: 1-6


2007 ◽  
Vol 5 (9) ◽  
pp. 58-79
Author(s):  
J. A. R. Maia ◽  
J. Lefreve ◽  
G. Beunen ◽  
A. Claessens

O presente ensaio trata o tema da estabilidade é a aptidão física. Discute o conceito de tracking ligado às noções de estabilidade e da predição da performance. Apresenta resultados de varios estudos no dominio da aptidão física e sobre eles aponta problemas metodológicos. Sugere como alternativa o Modelo Simplex Auto-regressivo com variáveis latentes com múltiplos indicadores e erros de medida — modelo que é facilmente resolúvel em programas estatísticos como o LISREL. This essay covers the theme of physical fitness stability. It discusses the concept of tracking connected to the notions of stability and the performance prediction. It presents results from many studies in the field of physical fitness and points out methodological problems about them. It also suggests, as an alternative, the Simplex Self regressive Model with latent variables with multiple indicators and measure errors  -model that is easily resolvable in statistical programs as the LISREL.


Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.


2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.


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