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Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary on the Focus Article, "Interpretational Confounding or Confounded Interpretations of Causal Indicators?" and a commentary that was published in issue 12(4) 2014 of "Measurement: Interdisciplinary Research & Perspectives". The authors challenge two claims: (a) Bainter and Bollen argue that the…
Descriptors: Causal Models, Measurement, Data Interpretation, Structural Equation Models
Muthen, Bengt; Asparouhov, Tihomir – Psychological Methods, 2012
This rejoinder discusses the general comments on how to use Bayesian structural equation modeling (BSEM) wisely and how to get more people better trained in using Bayesian methods. Responses to specific comments cover how to handle sign switching, nonconvergence and nonidentification, and prior choices in latent variable models. Two new…
Descriptors: Structural Equation Models, Bayesian Statistics, Factor Analysis, Statistical Analysis
MacCallum, Robert C.; Edwards, Michael C.; Cai, Li – Psychological Methods, 2012
Muthen and Asparouhov (2012) have proposed and demonstrated an approach to model specification and estimation in structural equation modeling (SEM) using Bayesian methods. Their contribution builds on previous work in this area by (a) focusing on the translation of conventional SEM models into a Bayesian framework wherein parameters fixed at zero…
Descriptors: Structural Equation Models, Bayesian Statistics, Computation, Expertise
MacCoun, Robert J. – Psychological Review, 2012
[Correction Notice: An erratum for this article was reported in Vol 119(2) of Psychological Review (see record 2012-06153-001). In the article, incorrect versions of figures 3 and 6 were included. Also, Table 8 should have included the following information in the table footnote "P(A V) = probability of acquittal given unanimous verdict." All…
Descriptors: Social Influences, Probability, Item Response Theory, Psychological Studies
Muthen, Bengt – Infant and Child Development, 2006
The authors of the paper on growth mixture modelling (GMM) give a description of GMM and related techniques as applied to antisocial behaviour. They bring up the important issue of choice of model within the general framework of mixture modelling, especially the choice between latent class growth analysis (LCGA) techniques developed by Nagin and…
Descriptors: Models, Antisocial Behavior, Monte Carlo Methods, Simulation

Grove, William M. – Journal of Consulting and Clinical Psychology, 1985
Considers use of base rates (prevalences) to modify number of symptoms required to make a diagnosis and concludes that improvements in diagnostic accuracy of flexible diagnostic rules over Diagnostic and Statistical Manual of Mental Disorders fixed symptom-count cutting scores are too small to justify their use. (NRB)
Descriptors: Clinical Diagnosis, Clinical Psychology, Monte Carlo Methods
Laufer, Batia – Applied Linguistics, 2005
This paper is a response to Paul Meara's (2005) critique of the Lexical Frequency Profile (LFP). Using simulated data, he challenges the claim that LFP is a sensitive and reliable tool for assessing vocabulary use in L2 speakers. In my response to his paper, I discuss the nature of lexical competence, in light of which LFP results should be…
Descriptors: Word Frequency, Lexicology, Profiles, Criticism

Smith, Rachel A.; Levine, Timothy R.; Lachlan, Kenneth A.; Fediuk, Thomas A. – Human Communication Research, 2002
Notes that the availability of statistical software packages has led to a sharp increase in use of complex research designs and complex statistical analyses in communication research. Reports a series of Monte Carlo simulations which demonstrate that this complexity may come at a heavier cost than many communication researchers realize. Warns…
Descriptors: Analysis of Variance, Communication Research, Computer Software, Higher Education

Stanley, T. D. – Evaluation Review, 1991
W. M. K. Trochim and others defend the record of the regression-discontinuity (RD) design and blur the statistical tests for treatment effect. Their Monte Carlo results show the problematic nature of RD and its potential bias. New testing strategies and restrictions for the application of RD are proposed. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Garson, G. David – Collegiate Microcomputer, 1989
Discussion of the use of computer simulation in the social sciences highlights types of simulation strategies and their combinations in comprehensive simulations. The strengths and weaknesses of simulations as instructional and research tools are examined, examples are given, and design issues arising in each type are explored. (29 references)…
Descriptors: Computer Simulation, Design Requirements, Expert Systems, Higher Education

Dwyer, James H. – Evaluation Review, 1984
A solution to the problem of specification error due to excluded variables in statistical models of treatment effects in nonrandomized (nonequivalent) control group designs is presented. It involves longitudinal observation with at least two pretests. A maximum likelihood estimation program such as LISREL may provide reasonable estimates of…
Descriptors: Control Groups, Mathematical Models, Maximum Likelihood Statistics, Monte Carlo Methods

Heifetz, Louis J. – Mental Retardation, 1998
Comments on "The Small ICF/MR Program: Dimensions of Quality and Cost" (Conroy), that found small Intermediate Care Facilities (ICF) for individuals with mental retardation are inferior to other community programs. Acknowledges that while some research problems exist, no important evidence against the findings has been provided. (CR)
Descriptors: Adults, Community Programs, Deinstitutionalization (of Disabled), Group Homes

Halli, S. S. – Simulation and Games, 1983
Discussion of possible applications of the microsimulation approach to analysis of population policy proposes compulsory sterilization policy for all of India. Topics covered include India's population problem, methods for generating a distribution of couples to be sterilized, model validation, data utilized, data analysis, program limitations,…
Descriptors: Age, Attrition (Research Studies), Birth Rate, Developing Nations
Caulkins, Jonathan P. – Journal of Policy Analysis and Management, 2002
In this article, the author discusses the use in policy analysis of models that incorporate uncertainty. He believes that all models should consider incorporating uncertainty, but that at the same time it is important to understand that sampling variability is not usually the dominant driver of uncertainty in policy analyses. He also argues that…
Descriptors: Statistical Inference, Models, Policy Analysis, Sampling