Eric Loken
Biographic Data
| ID | 185983 |
|---|---|
| NAME | Eric Loken |
| GIVEN NAMES | Eric |
| FAMILY NAME | Loken |
| SIGNATURE | LOKEN E |
| AFFILIATIONS | Pennsylvania State University |
| VERIFIED | No |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 82 |
| WORKS AS AUTHOR | 18 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 5 |
The Impact of Missing Data on Parameter Estimation
In computerized adaptive testing (CAT), examinees see items targeted to their ability level. Postoperational data have a high degree of missing information relative to designs where everyone answers all questions. Item responses are observed over a restricted range of abilities, reducing item-total score correlations. However, if the adaptive item selection depends only on observed responses, the data are missing at random (MAR). We simulated dat…
Person Specific Parameter Heterogeneity in the 2PL IRT Model
Following Kelderman and Molenaar's demonstration that a factor model with person specific factor loadings is almost indistinguishable from the standard factor model in terms of overall fit, we examined person specific measurement models in Item Response Theory, person specific discrimination and difficulty parameters were created by adding random variation at the item by person level. Using standard fitting algorithms for the 2PL IRT there was mo…
A Cautionary Note about Having the Right Mixture Model but Classifying the Wrong People
Mixture models can be used for explanation or individual prediction and classification. In practice, researchers are often tempted to make the class membership manifest by classifying cases according to their class of maximum posterior probability and using the "observed" class membership directly or as a variable in follow-up analyses to predict distal outcomes. This study revisits the issue of correct class assignment in latent profile analysis…
Measurement error and the replication crisis
The assumption that measurement error always reduces effect sizes is false
The Weight-Related Eating Questionnaire offers a concise alternative to the Three-Factor Eating Questionnaire for measuring eating behaviors related to weight loss
Bayesian Factor Analysis as a Variable-Selection Problem
Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled the use of hybrid confirmatory/exploratory approaches in which factor-loading structures can be explored relatively flexibly within a confirmatory factor analysis (CFA) framework. Recently, Muthén & Asparouhov proposed a Bayesian structural equation modeling (BSEM) approach to explore the prese…
The Statistical Crisis in Science
Effects of restriction on children’s intake differ by child temperament, food reinforcement, and parent’s chronic use of restriction
Measurement of food reinforcement in preschool children. Associations with food intake, BMI, and reward sensitivity
Do gender–science stereotypes predict science identification and science career aspirations among undergraduate science majors
Dynamic Social Networks and Physical Aggression
We examined three interrelated questions: (1) Who selects physically aggressive friends?; (2) Are physically aggressive adolescents influential?; and (3) Who is susceptible to influence from these friends? Using stochastic actor-based modeling, we tested our hypotheses using a sample of 480 adolescents (ages 11-13) who were followed across four assessments (fall and spring of 6 th and 7 th grade). After controlling for other factors that drive ne…
Mothers’ Differential Treatment of Adolescent Siblings
The effect of Twitter on college student engagement and grades
Despite the widespread use of social media by students and its increased use by instructors, very little empirical evidence is available concerning the impact of social media use on student learning and engagement. This paper describes our semester-long experimental study to determine if using Twitter – the microblogging and social networking platform most amenable to ongoing, public dialogue – for educationally relevant purposes can impact colle…
Maternal restrictive feeding style and girls’ inhibitory control interact to predict changes in BMI from 5 to 7 years
Stability and change in snack food likes and dislikes from 5 to 11 years
The Role of Friends in Early Adolescents’ Academic Self-competence and Intrinsic Value for Math and English
Comparing Analytic Techniques to Classify Dyadic Relationships
Several methods exist for typologizing dyadic relationships. The present study reviews the utility of methods for typologizing relationships, exploring the strengths and weaknesses of 3 different approaches, and applying them to the study of adolescent sibling relationships. The 3 methods examined are a priori methods, cluster analysis, and mixture models. Each approach was used to analyze the same data taken from a cross section of a longitudina…
Using Latent Class Analysis to Model Temperament Types
Mixture models are appropriate for data that arise from a set of qualitatively different subpopulations. In this study, latent class analysis was applied to observational data from a laboratory assessment of infant temperament at four months of age. The EM algorithm was used to fit the models, and the Bayesian method of posterior predictive checks was used for model selection. Results show at least three types of infant temperament, with patterns…
Effects of restriction on children’s intake differ by child temperament, food reinforcement, and parent’s chronic use of restriction
Measurement of food reinforcement in preschool children. Associations with food intake, BMI, and reward sensitivity
Dynamic Social Networks and Physical Aggression
We examined three interrelated questions: (1) Who selects physically aggressive friends?; (2) Are physically aggressive adolescents influential?; and (3) Who is susceptible to influence from these friends? Using stochastic actor-based modeling, we tested our hypotheses using a sample of 480 adolescents (ages 11-13) who were followed across four assessments (fall and spring of 6 th and 7 th grade). After controlling for other factors that drive ne…
Do gender–science stereotypes predict science identification and science career aspirations among undergraduate science majors
Stability and change in snack food likes and dislikes from 5 to 11 years
The Role of Friends in Early Adolescents’ Academic Self-competence and Intrinsic Value for Math and English
Comparing Analytic Techniques to Classify Dyadic Relationships
Several methods exist for typologizing dyadic relationships. The present study reviews the utility of methods for typologizing relationships, exploring the strengths and weaknesses of 3 different approaches, and applying them to the study of adolescent sibling relationships. The 3 methods examined are a priori methods, cluster analysis, and mixture models. Each approach was used to analyze the same data taken from a cross section of a longitudina…
Mothers’ Differential Treatment of Adolescent Siblings
Using Latent Class Analysis to Model Temperament Types
Mixture models are appropriate for data that arise from a set of qualitatively different subpopulations. In this study, latent class analysis was applied to observational data from a laboratory assessment of infant temperament at four months of age. The EM algorithm was used to fit the models, and the Bayesian method of posterior predictive checks was used for model selection. Results show at least three types of infant temperament, with patterns…
Comparing Analytic Techniques to Classify Dyadic Relationships
Several methods exist for typologizing dyadic relationships. The present study reviews the utility of methods for typologizing relationships, exploring the strengths and weaknesses of 3 different approaches, and applying them to the study of adolescent sibling relationships. The 3 methods examined are a priori methods, cluster analysis, and mixture models. Each approach was used to analyze the same data taken from a cross section of a longitudina…
The Role of Friends in Early Adolescents’ Academic Self-competence and Intrinsic Value for Math and English
Stability and change in snack food likes and dislikes from 5 to 11 years
The effect of Twitter on college student engagement and grades
Despite the widespread use of social media by students and its increased use by instructors, very little empirical evidence is available concerning the impact of social media use on student learning and engagement. This paper describes our semester-long experimental study to determine if using Twitter – the microblogging and social networking platform most amenable to ongoing, public dialogue – for educationally relevant purposes can impact colle…
Maternal restrictive feeding style and girls’ inhibitory control interact to predict changes in BMI from 5 to 7 years
Mothers’ Differential Treatment of Adolescent Siblings
Do gender–science stereotypes predict science identification and science career aspirations among undergraduate science majors
Dynamic Social Networks and Physical Aggression
We examined three interrelated questions: (1) Who selects physically aggressive friends?; (2) Are physically aggressive adolescents influential?; and (3) Who is susceptible to influence from these friends? Using stochastic actor-based modeling, we tested our hypotheses using a sample of 480 adolescents (ages 11-13) who were followed across four assessments (fall and spring of 6 th and 7 th grade). After controlling for other factors that drive ne…
The Statistical Crisis in Science
Effects of restriction on children’s intake differ by child temperament, food reinforcement, and parent’s chronic use of restriction
Measurement of food reinforcement in preschool children. Associations with food intake, BMI, and reward sensitivity
Bayesian Factor Analysis as a Variable-Selection Problem
Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled the use of hybrid confirmatory/exploratory approaches in which factor-loading structures can be explored relatively flexibly within a confirmatory factor analysis (CFA) framework. Recently, Muthén & Asparouhov proposed a Bayesian structural equation modeling (BSEM) approach to explore the prese…
Measurement error and the replication crisis
The assumption that measurement error always reduces effect sizes is false
The Weight-Related Eating Questionnaire offers a concise alternative to the Three-Factor Eating Questionnaire for measuring eating behaviors related to weight loss
A Cautionary Note about Having the Right Mixture Model but Classifying the Wrong People
Mixture models can be used for explanation or individual prediction and classification. In practice, researchers are often tempted to make the class membership manifest by classifying cases according to their class of maximum posterior probability and using the "observed" class membership directly or as a variable in follow-up analyses to predict distal outcomes. This study revisits the issue of correct class assignment in latent profile analysis…
Person Specific Parameter Heterogeneity in the 2PL IRT Model
Following Kelderman and Molenaar's demonstration that a factor model with person specific factor loadings is almost indistinguishable from the standard factor model in terms of overall fit, we examined person specific measurement models in Item Response Theory, person specific discrimination and difficulty parameters were created by adding random variation at the item by person level. Using standard fitting algorithms for the 2PL IRT there was mo…
The Impact of Missing Data on Parameter Estimation
In computerized adaptive testing (CAT), examinees see items targeted to their ability level. Postoperational data have a high degree of missing information relative to designs where everyone answers all questions. Item responses are observed over a restricted range of abilities, reducing item-total score correlations. However, if the adaptive item selection depends only on observed responses, the data are missing at random (MAR). We simulated dat…
Psychology (14 works) · Developmental psychology (8 works) · Computer Science (7 works) · Social Psychology (7 works) · Mathematics (5 works) · Eating Disorders and Behaviors (4 works) · Machine learning (4 works) · Medicine (4 works) · Obesity, Physical Activity, Diet (4 works) · Social Psychology (4 works)