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Variance analyses from invariance analyses

Josh Berdine, Aziem Chawdhary, Byron Cook, Dino Distefano, Peter O'Hearn
2007 SIGPLAN notices  
We describe a method of constructing program variance analyses from invariance analyses. If we change the underlying invariance analysis, we get a different variance analysis.  ...  Program invariance analyses infer invariance assertions that can be useful when trying to prove safety properties.  ...  Note that a single variance assertion may itself be a disjunction. We present a generic method of constructing variance analyses from invariance analyses.  ... 
doi:10.1145/1190215.1190249 fatcat:e7egkqmt55f73dahlrbwxllz2e

Variance analyses from invariance analyses

Josh Berdine, Aziem Chawdhary, Byron Cook, Dino Distefano, Peter O'Hearn
2007 Proceedings of the 34th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '07  
We describe a method of constructing program variance analyses from invariance analyses. If we change the underlying invariance analysis, we get a different variance analysis.  ...  Program invariance analyses infer invariance assertions that can be useful when trying to prove safety properties.  ...  Note that a single variance assertion may itself be a disjunction. We present a generic method of constructing variance analyses from invariance analyses.  ... 
doi:10.1145/1190216.1190249 dblp:conf/popl/BerdineCCDO07 fatcat:ftac3yl4rrb6xk7iljpvm4ovqi

Label-invariant models for the analysis of meta-epidemiological data [article]

Kirsty Rhodes, David Mawdsley, Rebecca Turner, Hayley Jones, Jelena Savovic, Julian Higgins
2017 arXiv   pre-print
Results from fitting a univariable model show that heterogeneity variance is, on average, 88% greater among trials with less than 100 participants.  ...  To exemplify the methods, we use a collection of meta-analyses in which the Cochrane Risk of Bias tool has been implemented.  ...  Additional modelling of heterogeneity variance It is of interest to compare variance estimates from fitting the existing additive model and the Between-study heterogeneity 2 m τ varies across meta-analyses  ... 
arXiv:1704.05390v2 fatcat:fqonw7npqrgupehwd27lnpq6tq

Label-invariant models for the analysis of meta-epidemiological data

K.M. Rhodes, D. Mawdsley, R.M. Turner, H.E. Jones, J. Savović, J.P.T. Higgins
2017 Statistics in Medicine  
Results from fitting a univariable model show that heterogeneity variance is, on average, 88% greater among trials with less than 100 participants.  ...  To exemplify the methods, we use a collection of meta-analyses in which the Cochrane Risk of Bias tool has been implemented.  ...  | ADDITIONAL MODELLING OF HETEROGENEITY VARIANCE It is of interest to compare variance estimates from fitting the existing additive model and the proposed label-invariant model.  ... 
doi:10.1002/sim.7491 pmid:28929507 pmcid:PMC5724693 fatcat:lhhdfyrlp5entgnumw5ijk5jo4

Trait and state variance in oppositional defiant disorder symptoms: A multi-source investigation with Spanish children

Jonathan Preszler, G. Leonard Burns, Kaylee Litson, Christian Geiser, Mateu Servera
2017 Psychological Assessment  
Single source latent state-trait (LST) analyses revealed that ODD symptom ratings from all four sources showed more trait (M = 63%) than state residual (M = 37%) variance.  ...  In the present study, latent state-trait (LST) analyses were used to answer these and other questions.  ...  We now describe the results from the single and multiple source LST analyses.  ... 
doi:10.1037/pas0000313 pmid:27148784 pmcid:PMC5097702 fatcat:fa6uy5tnmzhm7hkisepcnqcpmm

Invariant_mTBI_Symptom_Structure_-_Supplement_Material_REV1_NOV5 – Supplemental material for Invariance of the Bifactor Structure of Mild Traumatic Brain Injury (mTBI) Symptoms on the Rivermead Postconcussion Symptoms Questionnaire Across Time, Demographic Characteristics, and Clinical Groups: A TRACK-TBI Study

Stephanie Agtarap, Mark D. Kramer, Laura Campbell-Sills, Esther Yuh, Pratik Mukherjee, Geoffrey T. Manley, Michael A. McCrea, Sureyya Dikmen, Joseph T. Giacino, Murray B. Stein, Lindsay D. Nelson
2020 Figshare  
Supplemental material, Invariant_mTBI_Symptom_Structure_-_Supplement_Material_REV1_NOV5 for Invariance of the Bifactor Structure of Mild Traumatic Brain Injury (mTBI) Symptoms on the Rivermead Postconcussion  ...  Group Measurement Invariance (MI) Model Specifications Group MI models were identified by freeing the first loading of each factor (i.e., general and specific factors) and fixing the factor variances two  ...  Note that all available item-level data from each of the four times points were utilized simultaneously in longitudinal MI analyses; allowing for item residual correlations to be freely estimated was done  ... 
doi:10.25384/sage.12294422 fatcat:aepwuqdqhrbxndhqwhjk4dbm2i

Page 469 of School Psychology Review Vol. 36, Issue 3 [page]

2007 School Psychology Review  
., invariance of intercepts), item residual invariance (i.e., invariance of item error vari- ances), factor variance invariance (i.e., invari- ance of factor variances), factor covariance invariance (i.e  ...  To test the degree to which syn- dromes found in one society fit data from another society, multivariate analyses are per- formed on data obtained with the instrument for a large sample of children in  ... 

Page 728 of Educational and Psychological Measurement Vol. 56, Issue 4 [page]

1996 Educational and Psychological Measurement  
loading and factor variance invariance; (c) factor loading, factor variance, and factor covariance invariance; and (d) total invariance (factor loading, variance, covariance, and uniqueness/measurement  ...  The conventional and confirmatory factor analyses from Study 1 were repeated using Study 2’s data alone and using the combined data from both studies.  ... 

Page 473 of Educational and Psychological Measurement Vol. 66, Issue 3 [page]

2006 Educational and Psychological Measurement  
These examinations revealed measurement error variances and factor variances and covariance that were not invariant.  ...  Thus, it can be concluded that at a practical level, the two-factor model is sufficient to describe the data from both the boy and girl groups, indicating invariance of the model parameters across gender  ... 

The Latent Structure and Measurement Invariance of Scores on the Torrance Tests of Creative Thinking–Figural

Kyung Hee Kim, Bonnie Cramond, Deborah L. Bandalos
2006 Educational and Psychological Measurement  
Also, the results of the multiple group analyses indicate that model parameters for gender groups are more invariant than for grade levels in determining the fit of the model.  ...  Measurement invariance across genders and grade levels was assessed using multiple group analyses in which sets of parameters were freed sequentially in a series of hierarchically nested models.  ...  These examinations revealed measurement error variances and factor variances and covariance that were not invariant.  ... 
doi:10.1177/0013164405282456 fatcat:fx2qbwq2djgbvdlt36vkh7o64m

Page 45 of The Annals of Mathematical Statistics Vol. 28, Issue 1 [page]

1957 The Annals of Mathematical Statistics  
VARIANCE COMPONENTS: II 45 We shall confine our analyses to this family of cases, which is parametrized by the {u,;} and the {w,}.  ...  Our model is Zg=ut nt wij, v n’s from n, ki, ku, --- w’s from N, Ki, Ku,--: ; independently and randomly sampled and arranged.  ... 

Page 2 of Journal of Family Psychology Vol. 28, Issue 2 [page]

2014 Journal of Family Psychology  
First, for in- variance analyses across parent gender, cross-group reports were not independent from each other (Benner & Kim, 2009).  ...  analyses.  ... 

Page 1014 of Educational and Psychological Measurement Vol. 70, Issue 6 [page]

2010 Educational and Psychological Measurement  
Detailed results for the peer replication sample and three-group measurement invariance analyses are available from the first author.  ...  Additional Analyses We conducted additional analyses to examine the correlations between the latent fac- tors of both rater groups.  ... 

Measuring health literacy in community agencies: a Bayesian study of the factor structure and measurement invariance of the health literacy questionnaire (HLQ)

Gerald R. Elsworth, Alison Beauchamp, Richard H. Osborne
2016 BMC Health Services Research  
Measurement invariance was investigated scale-by-scale using a model that required strict invariance of item factor loadings, thresholds, residual variances and co-variances.  ...  With a small number of exceptions involving non-invariance of factor loadings, strict measurement invariance was established across the participating organisations and the gender, language background,  ...  GRE conducted the statistical analyses reported here and led the interpretation of results. GRE wrote the first draft of the paper.  ... 
doi:10.1186/s12913-016-1754-2 pmid:27659559 pmcid:PMC5034518 fatcat:tx3qirp6szf2lmxaebdkitp7py

FACTORIAL INVARIANCE OF THE GENERIC JOB SATISFACTION SCALE IN ARGENTINA AND BRAZIL

Solana Salessi, Alexsandro Luiz De Andrade, Alicia Omar
2020 Avances en Psicología Latinoamericana  
ΔRMSEA = .004); whereas, partially invariant at a strict level, after releasing the restrictions on the residual variances of three items.  ...  The aim of the present study was to analyse the factorial invariance of the Mac Donald and Mac Intyre´s Generic Job Satisfaction Scale in Argentina and Brazil.  ...  The possible differences between the latent means of the construct, meanwhile, were analysed from the model of complete scalar invariance (M 2 ).  ... 
doi:10.12804/revistas.urosario.edu.co/apl/a.7477 fatcat:kcuxdamilrae5l44qhkd65vd5e
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