Bibliografia

86. Bibliografia#

[AY01]

Mary J Allen and Wendy M Yen. Introduction to measurement theory. Waveland Press, 2001.

[AAoMiE14]

American Educational Research Association, American Psychological Association, and National Council on Measurement in Education. Standards for Educational and Psychological Testing. American Educational Research Association, Washington, DC, 2014.

[Ban18]

Deborah L Bandalos. Measurement theory and applications for the social sciences. Guilford Publications, 2018.

[Bar07]

Paul Barrett. Structural equation modelling: adjudging model fit. Personality and Individual Differences, 42(5):815–824, 2007.

[BMachlerBW14]

Douglas Bates, Martin Mächler, Ben Bolker, and Steve Walker. Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823, 2014.

[Bro15]

Timothy A Brown. Confirmatory factor analysis for applied research. Guilford publications, 2015.

[Cha96]

Richard A Charter. Revisiting the standard errors of measurement, estimate, and prediction and their application to test scores. Perceptual and Motor Skills, 82(3):1139–1144, 1996.

[DSZ22]

Rudolf Debelak, Carolin Strobl, and Matthew D Zeigenfuse. An introduction to the rasch model with examples in r. Crc Press, 2022.

[Dim18]

Alexandra L Dima. Scale validation in applied health research: tutorial for a 6-step r-based psychometrics protocol. Health Psychology and Behavioral Medicine, 6(1):136–161, 2018.

[Dud79]

Frank J Dudek. The continuing misinterpretation of the standard error of measurement. Psychological Bulletin, 86(2):335––337, 1979.

[GRE16]

Kevin J Grimm, Nilam Ram, and Ryne Estabrook. Growth modeling: Structural equation and multilevel modeling approaches. Guilford Publications, 2016.

[HvB22]

Jonas Haslbeck and Riet van Bork. Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors. Psychological Methods, 2022.

[HTKL22]

Micah E Hirsch, Austin Thompson, Yunjung Kim, and Kaitlin L Lansford. The reliability and validity of speech-language pathologists’ estimations of intelligibility in dysarthria. Brain Sciences, 12(8):1011, 2022.

[HW22]

Lesa Hoffman and Ryan W Walters. Catching up on multilevel modeling. Annual Review of Psychology, 73:659–689, 2022.

[HB98]

Li-tze Hu and Peter M Bentler. Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychological Methods, 3(4):424––453, 1998.

[JBM14]

Oliver P. John and Veronica Benet-Martinez. Measurement: reliability, construct validation, and scale construction. In Harry T. Reis and Charles M. Judd, editors, Handbook of research methods in social and personality psychology, pages 473–503. Cambridge University Press, 2nd edition, 2014.

[KBZ+18]

Rogier A Kievit, Andreas M Brandmaier, Gabriel Ziegler, Anne-Laura van Harmelen, Susanne MM de Mooij, Michael Moutoussis, Ian M Goodyer, Ed Bullmore, Peter B Jones, Peter Fonagy, and others. Developmental cognitive neuroscience using latent change score models: a tutorial and applications. Developmental Cognitive Neuroscience, 33:99–117, 2018.

[Kli13]

Paul Kline. Handbook of psychological testing. Routledge, 2013.

[Kli23]

Rex B Kline. Principles and practice of structural equation modeling. Guilford publications, 2023.

[Kom97]

Eugene Komaroff. Effect of simultaneous violations of essential/g= t/-equivalence and uncorrelated error on coefficient/g= a. Applied Psychological Measurement, 21(4):337–348, 1997.

[Lit23]

Todd D Little. Longitudinal structural equation modeling. Guilford Press, 2023.

[LN68]

Frederic M Lord and Melvin R Novick. Statistical theories of mental test scores. Addison-Wesley, 1968.

[Mau90]

Robert Mauro. Understanding LOVE (left out variables error): A method for estimating the effects of omitted variables. Psychological Bulletin, 108(2):314–329, 1990.

[McD13]

Roderick P McDonald. Test theory: A unified treatment. Psychology Press, 2013.

[Nun94]

Jum C Nunnally. Psychometric theory. McGraw-Hill, 1994.

[Ren02]

AC Rencher. Methods of multivariate analysis. 2002. Wiley Publications, 2002.

[RL21]

Cecil R Reynolds and RA Livingston. Mastering modern psychological testing. Springer, 2021.

[RSOL20]

Charlie Rioux, Zachary L Stickley, Omolola A Odejimi, and Todd D Little. Item parcels as indicators: why, when, and how to use them in small sample research. In Small sample size solutions, pages 203–214. Routledge, 2020.

[Ros20]

Yves Rosseel. Small sample solutions for structural equation modeling. In Small sample size solutions: A guide for applied researchers and practitioners, pages 226–238. Routledge, 2020.

[SBH03]

Ronald M Sabatelli and Suzanne Bartle-Haring. Family-of-origin experiences and adjustment in married couples. Journal of Marriage and Family, 65(1):159–169, 2003.

[SvdA17]

Klaas Sijtsma and L Andries van der Ark. A tutorial on how to do a mokken scale analysis on your test and questionnaire data. British Journal of Mathematical and Statistical Psychology, 70(1):137–158, 2017.

[Spe04]

C Spearman. General intelligence objectively determined and measured. American Journal of Psychology, 15:201–293, 1904.

[SRR20]

Dubravka Svetina, Leslie Rutkowski, and David Rutkowski. Multiple-group invariance with categorical outcomes using updated guidelines: an illustration using m plus and the lavaan/semtools packages. Structural Equation Modeling: A Multidisciplinary Journal, 27(1):111–130, 2020.

[vAJJidW+22]

Thijmen van Alphen, Suzanne Jak, Joost Jansen in de Wal, Jaap Schuitema, and Thea Peetsma. Determining reliability of daily measures: an illustration with data on teacher stress. Applied Measurement in Education, 35(1):63–79, 2022.

[Wec08]

David Wechsler. Wechsler adult intelligence scale–fourth edition (wais–iv). San Antonio, TX: NCS Pearson, 22(498):816–827, 2008.

[WFCS18]

Nicole H Weiss, Shannon R Forkus, Ateka A Contractor, and Melissa R Schick. Difficulties regulating positive emotions and alcohol and drug misuse: a path analysis. Addictive Behaviors, 84:45–52, 2018.

[WTKovsirE22]

Milan Wiedemann, Graham Thew, Urška Košir, and Anke Ehlers. Lcsm: an r package and tutorial on latent change score modelling. Wellcome Open Research, 7(149):149, 2022.

[WE16]

Hao Wu and Ryne Estabrook. Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika, 81(4):1014–1045, 2016.

[XY19]

Yan Xia and Yanyun Yang. Rmsea, cfi, and tli in structural equation modeling with ordered categorical data: the story they tell depends on the estimation methods. Behavior Research Methods, 51(1):409–428, 2019.