Papers by Alberto Maydeu-Olivares
Educational and Psychological Measurement
This study investigated the effect the number of observed variables ( p) has on three structural ... more This study investigated the effect the number of observed variables ( p) has on three structural equation modeling indices: the comparative fit index (CFI), the Tucker–Lewis index (TLI), and the root mean square error of approximation (RMSEA). The behaviors of the population fit indices and their sample estimates were compared under various conditions created by manipulating the number of observed variables, the types of model misspecification, the sample size, and the magnitude of factor loadings. The results showed that the effect of p on the population CFI and TLI depended on the type of specification error, whereas a higher p was associated with lower values of the population RMSEA regardless of the type of model misspecification. In finite samples, all three fit indices tended to yield estimates that suggested a worse fit than their population counterparts, which was more pronounced with a smaller sample size, higher p, and lower factor loading.
Structural Equation Modeling: A Multidisciplinary Journal
ABSTRACT The relative fit of two nested models can be evaluated using a chi-square difference sta... more ABSTRACT The relative fit of two nested models can be evaluated using a chi-square difference statistic. We evaluate the performance of five robust chi-square difference statistics in the context of confirmatory factor analysis with non-normal continuous outcomes. The mean and variance corrected difference statistics performed adequately across all conditions investigated. In contrast, the mean corrected difference statistics required larger samples for the p-values to be accurate. Sample size requirements for the mean corrected difference statistics increase as the degrees of freedom for difference testing increase. We recommend that the mean and variance corrected difference testing be used whenever possible. When performing mean corrected difference testing, we recommend that the expected information matrix is used (i.e., choice MLM), as the use of the observed information matrix (i.e., choice MLR) requires larger samples for p-values to be accurate. Supplementary materials for applied researchers to implement difference testing in their own research are provided.
Structural Equation Modeling: A Multidisciplinary Journal
The SAGE Handbook of Quantitative Methods in Psychology, 2009
SSRN Electronic Journal, 2000
ABSTRACT In this paper we re-examine the measurement of entrepreneurial activity and provide a mo... more ABSTRACT In this paper we re-examine the measurement of entrepreneurial activity and provide a model-based approach at measure. The Global Entrepreneurship Monitor (GEM) project has been a key addition to our ability to measure and compare rates of entrepreneurial activity. But even though there is consensus about the importance of measuring entrepreneurial activity, researchers differ about the appropriate ways to measure the breadth of entrepreneurial activity. We analyze the GEM's measure of entrepreneurial activity (TEA), address limitations in its design and development and provide an alternative measure of entrepreneurial activity, which includes entrepreneurial environment. We use a model-based approach to measure entrepreneurship activity and our results indicate that the model provides support for the combined use of entrepreneurial activity and entrepreneurial environment.
Page 1. ASSESSING MEASUREMENT INVARIANCE IN QUES1"IONNAIRES WITHIN LATENT TRAIT MODELS USING... more Page 1. ASSESSING MEASUREMENT INVARIANCE IN QUES1"IONNAIRES WITHIN LATENT TRAIT MODELS USING ITEM RESPONSE THEORY Albert Maydeu-Olivares, Thomas J. D'Zurilla and Osvaldo Morera 96-41 UnivBr~irlnrl r:nrl()~ III rlA Mnrlrirl Cl) 0::: w 0.... « 0.... ...
Most researchers have studied economic performance linked to market orientation, while a lesser i... more Most researchers have studied economic performance linked to market orientation, while a lesser interest has been shown in validating this construct's measure. We present a study of market orientation designed to obtain a valid measure of the market orientation construct. ...
MULTIVARIATF APPLICATIONS SFRIES Contemporary psychometrics Edited by Albert Maydeu-Olivares Joh... more MULTIVARIATF APPLICATIONS SFRIES Contemporary psychometrics Edited by Albert Maydeu-Olivares John J. McArdle Page 2. ... Multivariate Applications in Substance Use Research: New Methods for New Questions, co-edited by: Jennifer S. Rose, Laurie Chassin, Clark C ...
Background: Children’s BMI gain accelerates during summer. The Structured Days Hypothesis posits ... more Background: Children’s BMI gain accelerates during summer. The Structured Days Hypothesis posits that the lack of the school day during summer vacation negatively impacts children’s obesogenic behaviors (i.e., physical activity, screen time, diet, sleep). This natural experiment examined the impact of summer vacation on children’s obesogenic behaviors and body mass index (BMI). Methods: Elementary-aged children (n=285, grade=1-5, 48.7% male, 57.4% African American) attending a year-round (n=97) and two match-paired traditional schools (n=188) participated in this study. Obesogenic behaviors were collected during three conditions: Condition 1) all children attend school, Condition 2) year-round children attend school while traditional children were on summer vacation, and Condition 3) summer vacation for all children. Changes in BMI z-score were collected for the corresponding school years and summers. Multi-level mixed effects regressions estimated obesogenic behaviors and monthly z...
Educational and Psychological Measurement
We examined the effect of estimation methods, maximum likelihood (ML), unweighted least squares (... more We examined the effect of estimation methods, maximum likelihood (ML), unweighted least squares (ULS), and diagonally weighted least squares (DWLS), on three population SEM (structural equation modeling) fit indices: the root mean square error of approximation (RMSEA), the comparative fit index (CFI), and the standardized root mean square residual (SRMR). We considered different types and levels of misspecification in factor analysis models: misspecified dimensionality, omitting cross-loadings, and ignoring residual correlations. Estimation methods had substantial impacts on the RMSEA and CFI so that different cutoff values need to be employed for different estimators. In contrast, SRMR is robust to the method used to estimate the model parameters. The same criterion can be applied at the population level when using the SRMR to evaluate model fit, regardless of the choice of estimation method.
Structural Equation Modeling: A Multidisciplinary Journal
We show how a factor analysis model can be fitted to nominal data using the computer program Mplu... more We show how a factor analysis model can be fitted to nominal data using the computer program Mplus. The model is akin to multinomial logistic regression with unobserved predictors (the common factors) and was proposed in the one factor case, in the 1970s, within an item response theory (IRT) framework. Recently, extensions to multiple factors and alternative parameterizations to facilitate parameter interpretation have been proposed. We present four examples in which several versions of the model are estimated using Mplus: a) a one-factor model applied to situational items measuring assertiveness, b) an exploratory factor analysis applied to attitudinal data, c) a confirmatory factor analysis applied to educational data with testlets, and d) the newest parameterization of the model applied to an emotional stability scale. All data files and computer codes are provided as supplementary materials.
Structural Equation Modeling: A Multidisciplinary Journal
Revista de Neurología
REV NEUROL 2009; 48 (4): 191-198 191
Sleep
To examine changes in elementary aged children's sleep and physical activity during a one... more To examine changes in elementary aged children's sleep and physical activity during a one-week and a three-week school break. Sleep and physical activity of elementary children (n=154, age=5-9 years, 44.8% female, 65.5% African American) were collected over seven weeks that included a one-week break in two schools and a three-week break in a single school. Mixed regression models estimated sleep and physical activity changes within and between groups (i.e., one-week vs. three-weeks) during school and school break weeks. Compared to school weeks, bed times shifted 72.7 (95CI=57.5, 87.9) and 75.4 (95CI=58.1, 92.7) minutes later on weekdays during the one-week and three-week break, respectively. Wake times shifted 111.6 (95CI=94.3, 128.9) and 99.8 (95CI=80.5, 119.1) minutes later on weekdays during one-week and three-week breaks. On weekdays during the three-week break, children engaged in 33.1 (95CI=14.1, 52.2) more sedentary minutes and -12.2 (-20.2, -4.2) fewer moderate-to-vigorous physical activity minutes/day. No statistically significant changes in children's sedentary, light, or MVPA minutes were observed on weekdays during the one-week break. Between group differences in the change in time sedentary (32.1-95CI=5.8, 58.4), and moderate-to-vigorous (-13.0-95CI=-23.9, -2.0) physical activity were observed. Children's sleep shifted later on both one-week and three-week breaks. Children's activity changed minimally on weekdays during a one-week school break and more during a three-week school break. Displaced sleep and reductions in activity are intervention targets for mitigating unhealthy weight gain during extended breaks from school.
Multivariate behavioral research, 2016
Nesselroade and Molenaar advocate the use of an idiographic filter approach. This is a fixed-effe... more Nesselroade and Molenaar advocate the use of an idiographic filter approach. This is a fixed-effects approach, which may limit the number of individuals that can be simultaneously modeled, and it is not clear how to model the presence of subpopulations. Most important, Nesselroade and Molenaar's proposal appears to be best suited for modeling long time series on a few variables for a few individuals. Long time series are not common in psychological applications. Can it be applied to the usual longitudinal data we face? These are characterized by short time series (four to five points in time), hundreds of individuals, and dozens of variables. If so, what do we gain? Applied settings most often involve between-individual decisions. I conjecture that their approach will not outperform common, simpler, methods. However, when intraindividual decisions are involved, their approach may have an edge.
Journal of Clinical Psychology in Medical Settings, 2016
Among the potential range of irrational beliefs that could be used as predictors of physical and ... more Among the potential range of irrational beliefs that could be used as predictors of physical and mental health, catastrophizing is the process that has received most attention in chronic pain research. Other irrational processes such as demandingness, low frustration tolerance, and self-downing have rarely been studied. The goal of this study was to explore whether this wider range of beliefs is associated with health in chronic pain patients beyond catastrophizing. A total of 492 chronic pain patients completed a measure of irrational beliefs, a measure of physical and mental health, and a numerical rating scale designed to assess pain intensity and interference. Irrational processes were more strongly associated with mental than with physical health. Low frustration tolerance and self-downing were found to be significantly related to mental health even after controlling for the effect of catastrophizing. Processes other than catastrophizing appear to have potentially important relationships with the mental health of people with chronic pain. These results may offer new intervention targets for practitioners.
Mathematical Modelling: Theory and Applications, 2004
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Papers by Alberto Maydeu-Olivares