Alberto Maydeu-Olivares

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Professor Maydeu-Olivares’ interests are as diverse and multidisciplinary as his background. He currently holds a joint appointment at the UB and the University of South Carolina. Previously, he was ICREA-Academia Distinguished Professor of Psychology at the University of Barcelona (Spain). Previously, he had been Assistant Professor of Econometrics and Statistics at the Universidad Carlos III de Madrid, and Professor of Marketing and of Quantitative Methods at the IE Business School in Madrid.

He received a Ph.D. in Clinical/personality Psychology from the University of Barcelona and a Ph.D. in Quantitative Methods from the University of Illinois. Among other awards, he has received a Fulbright Scholarship, the American Psychological Association Dissertation Award (Division 5), the Catalan Young Investigator Award, and the Cattell (Young Investigator) award from Society of Multivariate Experimental Psychology. He was elected President of the Psychometric Society in 2013 and he is currently section editor of Psychometrika. He has edited the volumes Contemporary Psychometrics (with J.J. McArdle), and the Handbook of Quantitative Methods in Psychology (with R. Millsap) and has published over 70 articles in refereed journals: https://scholar.google.com/citations?user=Ld1d9BMAAAAJ

His research interest focus on structural equation modeling and item response theory (IRT), and more generally in developing new quantitative methods. His early research focused on social problem solving (how individuals solve real life problems) and optimism. He is probably best known for his research on goodness of fit tests for very sparse categorical data (with applications to educational testing), and models for preference and choice (with applications to marketing but also to personnel selection). His most recent work focuses on goodness of fit testing of structural equation models, the use of instrumental variable methods to overcome common method bias, and statistical modeling of faking in personnel selection.

Articles

    2021

  1. G. Pavlov, A. Maydeu-Olivares, D. D. Shi Shi (2021). Using the Standardized Root Mean Squared Residual (SRMR) to Assess Exact Fit in Structural Equation Models. Educational and Psychological Measurement. DOI:10.1177/0013164420926231
  2. J.-B.E.M. Steenkamp, A. A. Maydeu-Olivares Maydeu-Olivares (2021). An updated paradigm for evaluating measurement invariance incorporating common method variance and its assessment. Journal of the Academy of Marketing Science. DOI:10.1007/s11747-020-00745-z

    3. 2020

  3. R.G. Weaver, B. Armstrong, E. Hunt, M.W. Beets, K. Brazendale, R. Dugger, G. Turner-McGrievy, R.R. Pate, A. Maydeu-Olivares, B. Saelens, S.D. Youngstedt (2020). The impact of summer vacation on children’s obesogenic behaviors and body mass index: a natural experiment. International Journal of Behavioral Nutrition and Physical Activity. DOI:10.1186/s12966-020-01052-0
  4. J. Revuelta, A. Maydeu-Olivares, C. Ximénez (2020). Factor Analysis for Nominal (First Choice) Data. Structural Equation Modeling. DOI:10.1080/10705511.2019.1668276 IRT; item response theory; multidimensional nominal categories model; Nominal factor analysis; situational 15 judgment tests
  5. D. Shi, A. A. Maydeu-Olivares Maydeu-Olivares (2020). The Effect of Estimation Methods on SEM Fit Indices. Educational and Psychological Measurement. DOI:10.1177/0013164419885164
  6. A. Maydeu-Olivares, D. Shi, A.J. A.J. Fairchild Fairchild (2020). Estimating causal effects in linear regression models with observational data: The instrumental variables regression model. Psychological Methods. DOI:10.1037/met0000226
  7. C. Gao, D. Shi, A. A. Maydeu-Olivares Maydeu-Olivares (2020). Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study. Structural Equation Modeling. DOI:10.1080/10705511.2019.1637741
  8. D. Shi, T. Lee, A.J. Fairchild, A. A. Maydeu-Olivares Maydeu-Olivares (2020). Fitting Ordinal Factor Analysis Models With Missing Data: A Comparison Between Pairwise Deletion and Multiple Imputation. Educational and Psychological Measurement. DOI:10.1177/0013164419845039
  9. D. Shi, A. Maydeu-Olivares (2020). Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA. Structural Equation Modeling. DOI:10.1080/10705511.2019.1611434
  10. G. Pavlov, D. Shi, A. A. Maydeu-Olivares Maydeu-Olivares (2020). Chi-square Difference Tests for Comparing Nested Models: An Evaluation with Non-normal Data. Structural Equation Modeling. DOI:10.1080/10705511.2020.1717957
  11. R.G. Weaver, E. Hunt, A. Rafferty, M.W. Beets, K. Brazendale, G. Turner-McGrievy, R.R. Pate, A. Maydeu-Olivares, B. Saelens, S. Youngstedt (2020). The potential of a year-round school calendar for maintaining children's weight status and fitness: Preliminary outcomes from a natural experiment. Journal of Sport and Health Science. DOI:10.1016/j.jshs.2019.05.006

    12. 2019

  12. A. Maydeu-Olivares, D. Shi (2019). Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models. Structural Equation Modeling. DOI:10.1080/10705511.2019.1607740
  13. G. Pavlov, A. A. Maydeu-OlivaresJ. A.J. Fairchild Fairchild (2019). Effects of Applicant Faking on Forced-Choice and Likert Scores. Organizational Research Methods. DOI:10.1177/1094428117753683
  14. D. Shi, T. Lee, A. A. Maydeu-Olivares Maydeu-Olivares (2019). Understanding the Model Size Effect on SEM Fit Indices. Educational and Psychological Measurement. DOI:10.1177/0013164418783530
  15. Z.J. Ng, E.S. Huebner, A. Maydeu-Olivares, K.J. Hills (2019). Confirmatory Factor Analytic Structure and Measurement Invariance of the Emotion Regulation Questionnaire for Children and Adolescents in a Longitudinal Sample of Adolescents. Journal of Psychoeducational Assessment. DOI:10.1177/0734282917732891
  16. D. Shi, H. Song, C. DiStefano, A. Maydeu-Olivares, H.L. McDaniel, Z. Z. Jiang Jiang (2019). Evaluating Factorial Invariance: An Interval Estimation Approach Using Bayesian Structural Equation Modeling. Multivariate Behavioral Research. DOI:10.1080/00273171.2018.1514484
  17. D. Gallardo-Pujol, E. Penelo, C. Sit, M. Jornet-Gibert, C. Suso, M. Buades-Rotger, A. A. Maydeu-Olivares Andrés-Pueyo, F.B. Bryant (2019). The Meaning of Aggression Varies Across Culture: Testing the Measurement Invariance of the Refined Aggression Questionnaire in Samples From Spain, the United States, and Hong Kong. Journal of Personality Assessment. DOI:10.1080/00223891.2019.1565572
  18. Y. Liu, J.S. Yang, A. A. Maydeu-Olivares Maydeu-Olivares (2019). Restricted Recalibration of Item Response Theory Models. Psychometrika. DOI:10.1007/s11336-019-09667-4
  19. R. Glenn Weaver, M.W. Beets, M. Perry, E. Hunt, K. Brazendale, L. Decker, G. Turner-McGrievy, R. Pate, S.D. Youngstedt, B.E. Saelens, A. Maydeu-Olivares (2019). Changes in children's sleep and physical activity during a 1-week versus a 3-week break from school: A natural experiment. Sleep. DOI:10.1093/sleep/zsy205

    20. 2018

  20. D. Shi, A. Maydeu-Olivares, C. C. DiStefano DiStefano (2018). The Relationship Between the Standardized Root Mean Square Residual and Model Misspecification in Factor Analysis Models. Multivariate Behavioral Research. DOI:10.1080/00273171.2018.1476221
  21. Z.J. Ng, E.S. Huebner, A. Maydeu-Olivares, K.J. Hills (2018). Confirmatory Factor Analytic Structure and Measurement Invariance of the Brief Multidimensional Students’ Life Satisfaction Scale (BMSLSS) in a Longitudinal Sample of Adolescents. Child Indicators Research. DOI:10.1007/s12187-017-9468-5
  22. C.G. Forero, E. Olariu, P. Álvarez, J.-I. Castro-Rodriguez, M.J. Blasco, G. Vilagut, V. Pérez, J. Alonso, C.G. Forero, L.M. Martín-López, L. Abellanas, C. Garnier, M.R. Mas, E. Pérez-Gallo, M. Reinoso, G. Barbaglia, M.A. Fullana, A. A. Maydeu-Olivares Brown, INSAyD Investigators (2018). Change in functioning outcomes as a predictor of the course of depression: a 12-month longitudinal study. Quality of Life Research. DOI:10.1007/s11136-018-1853-0
  23. A. A. Brown A. Maydeu-Olivares Maydeu-Olivares (2018). Ordinal Factor Analysis of Graded-Preference Questionnaire Data. Structural Equation Modeling. DOI:10.1080/10705511.2017.1392247
  24. A. Maydeu-Olivares, D. Shi (2018). Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit. Structural Equation Modeling. DOI:10.1080/10705511.2017.1389611

    25. 2017

  25. A. A. Maydeu-Olivares Maydeu-Olivares (2017). Assessing the Size of Model Misfit in Structural Equation Models. Psychometrika. DOI:10.1007/s11336-016-9552-7
  26. A. A. Maydeu-OlivaresJ. Fairchild, A.G. A.G. Hall Hall (2017). Goodness of Fit in Item Factor Analysis: Effect of the Number of Response Alternatives. Structural Equation Modeling. DOI:10.1080/10705511.2017.1289816
  27. A. Maydeu-Olivares, D. D. Shi Shi (2017). Effect sizes of model misfit in structural equation models: Standardized residual covariances and residual correlations. Methodology. DOI:10.1027/1614-2241/a000129
  28. A. Maydeu-Olivares (2017). Maximum Likelihood Estimation of Structural Equation Models for Continuous Data: Standard Errors and Goodness of Fit. Structural Equation Modeling. DOI:10.1080/10705511.2016.1269606

    29. 2016

  29. C. Suso-Ribera, L. L. Camacho-GuerreroM. McCracken, A. Maydeu-Olivares, D. Gallardo-Pujol (2016). Social problem solving in chronic pain: An integrative model of coping predicts mental health in chronic pain patients. Journal of Health Psychology. DOI:10.1177/1359105314544133
  30. C. Suso-Ribera, M. M. Jornet-GibertV. Ribera Canudas, L.M. McCracken, A. Maydeu-Olivares, D. Gallardo-Pujol, D. Gallardo-Pujol (2016). There’s More Than Catastrophizing in Chronic Pain: Low Frustration Tolerance and Self-Downing Also Predict Mental Health in Chronic Pain Patients. Journal of Clinical Psychology in Medical Settings. DOI:10.1007/s10880-016-9454-y
  31. A. A. Maydeu-Olivares Maydeu-Olivares (2016). Improving Psychological Measurement: Does It Make a Difference? A Comment on Nesselroade and Molenaar (2016). Multivariate Behavioral Research. DOI:10.1080/00273171.2015.1090900

    32. 2015

  32. E. Olariu, C.G. Forero, P. Álvarez, J.-I. Castro-Rodriguez, M.J. Blasco, J. Alonso, G. Vilagut, P. Álvarez, L.M. Martín-López, M. Campillo, L. Abellanas, C. Garnier, M.R. Mas, M. Reinoso, G. Barbaglia, M.A. Fullana, A. A. Maydeu-Olivares Brown, INSAyD INSAyD Investigators Investigators (2015). Asking patients about their general level of functioning: Is IT worth IT for common mental disorders?. Psychiatry Research. DOI:10.1016/j.psychres.2015.07.088
  33. G. Vilagut, C.G. Forero, N.D. Adroher, E. Olariu, D. Cella, J. Alonso, P. Álvarez, J.-I. Castro-Rodriguez, L.M. Martín-López, M. Campillo, L. Abellanas, C. Garnier, M.R. Mas, M. Reinoso, G. Barbaglia, M.A. Fullana, A. A. Maydeu-Olivares Brown, INSAyD INSAyD Investigators Investigators (2015). Testing the PROMIS® Depression measures for monitoring depression in a clinical sample outside the US. Journal of Psychiatric Research. DOI:10.1016/j.jpsychires.2015.06.009
  34. J.-B.E.M. Steenkamp, A. Maydeu-Olivares (2015). Stability and change in consumer traits: Evidence from a 12-year longitudinal study, 2002-2013. Journal of Marketing Research. DOI:10.1509/jmr.13.0592
  35. A. Maydeu-Olivares, Y. Y. Liu Liu (2015). Item diagnostics in multivariate discrete data. Psychological Methods. DOI:10.1037/a0039015

    36. 2014

  36. A. Maydeu-Olivares (2014). In memoriam, Roger E. Millsap 1954-2014. Psychometrika. DOI:10.1007/s11336-014-9421-1
  37. Y. Liu, A. Maydeu-Olivares (2014). Identifying the Source of Misfit in Item Response Theory Models. Multivariate Behavioral Research. DOI:10.1080/00273171.2014.910744
  38. A. Maydeu-Olivares, H. Joe (2014). Assessing Approximate Fit in Categorical Data Analysis. Multivariate Behavioral Research. DOI:10.1080/00273171.2014.911075

    39. 2013

  39. A. A. Maydeu-Olivares Maydeu-Olivares (2013). Why Should We Assess the Goodness-of-Fit of IRT Models?. Measurement. DOI:10.1080/15366367.2013.841511
  40. A. A. Maydeu-Olivares Maydeu-Olivares (2013). Goodness-of-Fit Assessment of Item Response Theory Models. Measurement. DOI:10.1080/15366367.2013.831680
  41. E. Villalonga-Olives, C.G. Forero, A. Maydeu-Olivares, J. J. AlmansaA. Palacio Vieira, J.M. Valderas, M. Ferrer-García, L. Rajmil, J. Alonso (2013). Erratum: Environmental risk and protective factors of adolescents' and youths' mental health: Differences between parents' appraisal and self-reports (Quality of Life Research DOI: 10.1007/s11136-012-0167-x). Quality of Life Research. DOI:10.1007/s11136-012-0304-6
  42. C. C. HoltschlagE. Morales, A.D. Masuda, A. Maydeu-Olivares (2013). Complementary person-culture values fit and hierarchical career status. Journal of Vocational Behavior. DOI:10.1016/j.jvb.2012.11.004
  43. A. Maydeu-Olivares, G. Brown (2013). Modeling fMRI Data: Challenges and Opportunities. Psychometrika. DOI:10.1007/s11336-013-9332-6
  44. Y. Liu, A. A. Maydeu-Olivares Maydeu-Olivares (2013). Local Dependence Diagnostics in IRT Modeling of Binary Data. Educational and Psychological Measurement. DOI:10.1177/0013164412453841
  45. A. A. Brown Maydeu-Olivares (2013). How irt can solve problems of ipsative data in forced-choice questionnaires. Psychological Methods. DOI:10.1037/a0030641 Forced-choice format; Ipsative data; Multidimensional IRT; Thurstonian factor model; Thurstonian IRT model
  46. D. Gallardo-Pujol, A. A. Andrés-Pueyo A. Maydeu-Olivares Maydeu-Olivares (2013). MAOA genotype, social exclusion and aggression: An experimental test of a gene-environment interaction. Genes, Brain and Behavior. DOI:10.1111/j.1601-183X.2012.00868.x
  47. E.V. Olives, C.G. Forero, A. Maydeu-Olivares, J. J. AlmansaA. Palacio Vieira, J.M. Valderas, M. Ferrer-García, L. Rajmil, J. Alonso (2013). Environmental risk and protective factors of adolescents' and youths' mental health: Differences between parents' appraisal and self-reports. Quality of Life Research. DOI:10.1007/s11136-012-0167-x
  48. A. Maydeu-Olivares, R. R. Montaño Montaño (2013). How Should We Assess the Fit of Rasch-Type Models? Approximating the Power of Goodness-of-Fit Statistics in Categorical Data Analysis. Psychometrika. DOI:10.1007/s11336-012-9293-1

    49. 2012

  49. A. A. Brown Maydeu-Olivares (2012). Fitting a Thurstonian IRT model to forced-choice data using Mplus. Behavior Research Methods. DOI:10.3758/s13428-012-0217-x Forced-choice format; Ipsative data; Mplus; Multidimensional IRT; Thurstonian IRT model

    50. 2011

  50. A. Maydeu-Olivares, L. Cai, A. A. Hernandez Hernandez (2011). Comparing the fit of item response theory and factor analysis models. Structural Equation Modeling. DOI:10.1080/10705511.2011.581993
  51. S. Reise, T. Moore, A. A. Maydeu-Olivares Maydeu-Olivares (2011). Target rotations and assessing the impact of model violations on the parameters of unidimensional item response theory models. Educational and Psychological Measurement. DOI:10.1177/0013164410378690
  52. A. A. Brown A. Maydeu-Olivares Maydeu-Olivares (2011). Item response modeling of forced-choice questionnaires. Educational and Psychological Measurement. DOI:10.1177/0013164410375112
  53. T.J. D'Zurilla, A. Maydeu-Olivares, D. Gallardo-Pujol, D. Gallardo-Pujol (2011). Predicting social problem solving using personality traits. Personality and Individual Differences. DOI:10.1016/j.paid.2010.09.015

    54. 2010

  54. A. A. Maydeu-Olivares Brown (2010). Item response modeling of paired comparison and ranking data. Multivariate Behavioral Research. DOI:10.1080/00273171.2010.531231
  55. A. Maydeu-Olivares, D.L. Coffman, C. García-D. Forero Gallardo-Pujol (2010). Hypothesis testing for coefficient alpha: An SEM approach. Behavior Research MethodsArticle. DOI:10.3758/BRM.42.2.618
  56. H. Joe, A. A. Maydeu-Olivares Maydeu-Olivares (2010). A general family of limited information goodness-of-fit statistics for multinomial data. Psychometrika. DOI:10.1007/s11336-010-9165-5

    57. 2009

  57. A. Maydeu-Olivares, C. García-D. Forero Gallardo-Pujol, J. J. Renom Renom (2009). Testing categorized bivariate normality with two-stage polychoric correlation estimates. Methodology. DOI:10.1027/1614-2241.5.4.131
  58. C.G. Forero, A. A. Maydeu-Olivares Maydeu-Olivares (2009). Estimation of IRT Graded Response Models: Limited Versus Full Information Methods. Psychological Methods. DOI:10.1037/a0015825
  59. C. García-D. Forero Gallardo-Pujol, A. A. Maydeu-Olivares A. Andrés-Pueyo Andrés-Pueyo (2009). Disentangling impulsiveness, aggressiveness and impulsive aggression: An empirical approach using self-report measures. Psychiatry Research. DOI:10.1016/j.psychres.2008.04.002
  60. C.G. D. Forero Gallardo-Pujol, A. A. Maydeu-Olivares A. Andrés-Pueyo Andrés-Pueyo (2009). A longitudinal model for predicting performance of police officers using personality and behavioral data. Criminal Justice and Behavior. DOI:10.1177/0093854809333406
  61. A. Maydeu-Olivares, U. Kramp, C. García-D. Forero D. Gallardo-PujolL. Coffman (2009). The effect of varying the number of response alternatives in rating scales: Experimental evidence from intra-individual effects. Behavior Research Methods. DOI:10.3758/BRM.41.2.295
  62. D. Gallardo-Pujol, C.G. Forero, A. A. Maydeu-Olivares A. Andrés-Pueyo Andrés-Pueyo (2009). The development of antisocial behavior: Psychobiological and environmental factors and gene-environment interactions [Desarrollo del comportamiento antisocial: Factores psicobiológicos, ambientales e interacciones genotipo-ambiente]. Revista de Neurologia. DOI:10.33588/rn.4804.2008084

    63. 2008

  63. D.L. Coffman, A. Maydeu-Olivares, J. J. Arnau Arnau (2008). Asymptotic distribution free interval estimation: For an intraclass correlation coefficient with applications to longitudinal data. Methodology. DOI:10.1027/1614-2241.4.1.4
  64. A. Maydeu-Olivares, U. Böckenholt (2008). Modeling subjective health outcomes: Top 10 reasons to use thurstone's method. Medical Care. DOI:10.1097/MLR.0b013e31816dd8d9
  65. D. Gallardo-Pujol, C. García-Forero, A. A. Andrés-Pueyo Maydeu-Olivares (2008). Monoamine Oxidase A, Gender Differences, and Social Exclusion: Comment on Eisenberger et al.. Biological Psychiatry. DOI:10.1016/j.biopsych.2007.03.026
  66. R. Justo, J.O. De Castro, A. A. Maydeu-Olivares Maydeu-Olivares (2008). Indicators of entrepreneurship activity: Some methodological contributions. International Journal of Entrepreneurship and Small Business. DOI:10.1504/IJESB.2008.019504

    67. 2007

  67. K.A. Bollen, A. A. Maydeu-Olivares Maydeu-Olivares (2007). A polychoric instrumental variable (PIV) estimator for structural equation models with categorical variables. Psychometrika. DOI:10.1007/s11336-007-9006-3
  68. A. Maydeu-Olivares, D.L. Coffman, W.M. W.M. Hartmann Hartmann (2007). Asymptotically Distribution-Free (ADF) Interval Estimation of Coefficient Alpha. Psychological Methods. DOI:10.1037/1082-989X.12.2.157
  69. D. Gallardo-Pujol, C. García-Forero, U. Kramp, A. A. Maydeu-Olivares Andrés-Pueyo (2007). IQ heritability estimation: Analyzing genetically-informative data with structural equation models. Psicothema. DOI:
  70. A. A. Maydeu-Olivares Hernandez (2007). Identification and small sample estimation of thurstone's unrestricted model for paired comparisons data. Multivariate Behavioral Research. DOI:10.1080/00273170701360555

    71. 2006

  71. A. Maydeu-Olivares, D.L. D.L. Coffman Coffman (2006). Random intercept item factor analysis. Psychological Methods. DOI:10.1037/1082-989X.11.4.344
  72. A. Maydeu-Olivares, H. H. Joe Joe (2006). Limited information goodness-of-fit testing in multidimensional contingency tables. Psychometrika. DOI:10.1007/s11336-005-1295-9
  73. H. Joe, A. A. Maydeu-Olivares Maydeu-Olivares (2006). On the asymptotic distribution of pearson's X 2 in cross-validation samples. Psychometrika. DOI:10.1007/s11336-005-1284-z
  74. A. Maydeu-Olivares, L. Cai (2006). A cautionary note on using G 2(dif) to assess relative model fit in categorical data analysis. Multivariate Behavioral Research. DOI:10.1207/s15327906mbr4101_4
  75. O.F. Morera, A. Maydeu-Olivares, T.E. Nygren, R.J. White, N.P. Fernandez, M.C. M.C. Skewes Skewes (2006). Social problem solving predicts decision making styles among US Hispanics. Personality and Individual Differences. DOI:10.1016/j.paid.2005.08.016
  76. L. Cai, A. Maydeu-Olivares, D.L. Coffman, D. Thissen (2006). Limited-information goodness-of-fit testing of item response theory models for sparse 2P tables. British Journal of Mathematical and Statistical Psychology. DOI:10.1348/000711005X66419
  77. A. A. Maydeu-Olivares Maydeu-Olivares (2006). Limited information estimation and testing of discretized multivariate normal structural models. Psychometrika. DOI:10.1007/s11336-005-0773-4
  78. A. A. Maydeu-Olivares Hernandez, R.P. McDonald (2006). A multidimensional ideal point item response theory model for binary data. Multivariate Behavioral Research. DOI:10.1207/s15327906mbr4104_2

    79. 2005

  79. A. Maydeu-Olivares (2005). Further empirical results on parametric versus non-parametric IRT modeling of likert-type personality data. Multivariate Behavioral Research. DOI:10.1207/s15327906mbr4002_5
  80. A. Maydeu-Olivares, U. U. Böckenholt Böckenholt (2005). Structural equation modeling of paired-comparison and ranking data. Psychological Methods. DOI:10.1037/1082-989X.10.3.285
  81. A. Maydeu-Olivares, H. H. Joe Joe (2005). Limited- And full-information estimation and goodness-of-fit testing in 2n contingency tables: A unified framework. Journal of the American Statistical Association. DOI:10.1198/016214504000002069

    82. 2003

  82. A. Maydeu-Olivares, N. N. Lado Lado (2003). Market orientation and business economic performance: A mediated model. International Journal of Service Industry Management. DOI:10.1108/09564230310478837

    83. 2002

  83. K.D. Belzer, T.J. D'Zurilla, A. A. Maydeu-Olivares Maydeu-Olivares (2002). Social problem solving and trait anxiety as predictors of worry in a college student population. Personality and Individual Differences. DOI:10.1016/S0191-8869(01)00173-8
  84. A. A. Maydeu-Olivares Maydeu-Olivares (2002). Limited information estimation and testing of Thurstonian models for preference data. Mathematical social sciences. DOI:10.1016/S0165-4896(02)00017-3

    85. 2001

  85. N. Lado, A. A. Maydeu-Olivares Maydeu-Olivares (2001). Exploring the link between market orientation and innovation in the European and US insurance markets. International Marketing Review. DOI:10.1108/02651330110389972
  86. A. A. Maydeu-Olivares Maydeu-Olivares (2001). Multidimensional item response theory modeling of binary data: Large sample properties of NOHARM estimates. Journal of Educational and Behavioral Statistics. DOI:10.3102/10769986026001051
  87. A. A. Maydeu-Olivares Maydeu-Olivares (2001). Limited information estimation and testing of Thurstonian models for paired comparison data under multiple judgment sampling. Psychometrika. DOI:10.1007/BF02294836

    88. 2000

  88. A. A. Maydeu-Olivares Rodríguez-Fornells, J. Gómez-Benito, T.J. T.J. D'Zurilla D'Zurilla (2000). Psychometric properties of the Spanish adaptation of the Social Problem-Solving Inventory-Revised (SPSI-R). Personality and Individual Differences. DOI:10.1016/S0191-8869(99)00226-3
  89. A. A. Rodríguez-Fornells A. Maydeu-Olivares Maydeu-Olivares (2000). Impulsive/careless problem solving style as predictor of subsequent academic achievement. Personality and Individual Differences. DOI:10.1016/S0191-8869(99)00127-0
  90. A. Maydeu-Olivares (2000). Review of MPLUS. Multivariate Behavioral Research. DOI:10.1207/S15327906MBR3504_04

    91. 1999

  91. A. A. Maydeu-Olivares Maydeu-Olivares (1999). Thurstonian modeling of ranking data via mean and covariance structure analysis. Psychometrika. DOI:10.1007/BF02294299
  92. A. Maydeu-Olivares, O. Morera, T.J. D'Zurilla (1999). Using graphical methods in assessing measurement invariance in inventory data. Multivariate Behavioral Research. DOI:10.1207/S15327906MBR3403_5

    93. 1998

  93. T.J. D'Zurilla, A. Maydeu-Olivares, G.L. G.L. Kant Kant (1998). Age and gender differences in social problem-solving ability. Personality and Individual Differences. DOI:10.1016/S0191-8869(98)00029-4

    94. 1997

  94. A. Maydeu-Olivares, T.J. D'Zurilla (1997). The factor structure of the problem solving inventory. European Journal of Psychological Assessment. DOI:10.1027/1015-5759.13.3.206
  95. E.C. Chang, A. Maydeu-Olivares, T.J. D'Zurilla (1997). Optimism and pessimism as partially independent constructs: Relationship to positive and negative affectivity and psychological well-being. Personality and Individual Differences. DOI:10.1016/S0191-8869(97)80009-8
  96. G.L. Kant, T.J. D'Zurilla, A. A. Maydeu-Olivares Maydeu-Olivares (1997). Social problem solving as a mediator of stress-related depression and anxiety in middle-aged and elderly community residents. Cognitive Therapy and Research. DOI:10.1023/A:1021820326754

    97. 1996

  97. A. Maydeu-Olivares (1996). Classification of prison inmates based on hierarchical cluster analysis. Psicothema. DOI:
  98. A. Maydeu-Olivares, T.J. T.J. D'Zurilla D'Zurilla (1996). A factor-analytic study of the social problem-solving inventory: An integration of theory and data. Cognitive Therapy and Research. DOI:10.1007/BF02228030

    99. 1995

  99. T.J. D'Zurilla, A. Maydeu-Olivares (1995). Conceptual and methodological issues in social problem-solving assessment. Behavior Therapy. DOI:10.1016/S0005-7894(05)80091-7

    100. 1994

  100. E.C. Chang, T.J. D'Zurilla, A. A. Maydeu-Olivares Maydeu-Olivares (1994). Assessing the dimensionality of optimism and pessimism using a multimeasure approach. Cognitive Therapy and Research. DOI:10.1007/BF02357221
  101. A. Maydeu-Olivares, F. Drasgow, A.D. Mead (1994). Distinguishing Among Paranletric item Response Models for Polychotomous Ordered Data. Applied Psychological Measurement. DOI:10.1177/014662169401800305

Books

    2017

  1. A. A. Brown Maydeu-Olivares Modelling forced-choice response formats (2017) 10.1002/9781118489772.ch18

    2. 2013

  2. A. Maydeu-Olivares, J.J. McArdle Contemporary psychometrics: A festschrift for Roderick P.McDonald (2013) 10.4324/9781410612977
  3. A. Maydeu-Olivares Linear item response theory, nonlinear item response theory, and factor analysis: A unified framework (2013) 10.4324/9781410612977
  4. A. Maydeu-Olivares, J.J. McArdle Preface (2013) 10.4324/9781410612977

    5. 2010

  5. A. Maydeu-Olivares, C. C. García-Forero García-Forero Goodness-of-fit testing (2010) 10.1016/B978-0-08-044894-7.01333-6
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