Moongee Jeon
Biographic Data
| ID | 163558 |
|---|---|
| NAME | Moongee Jeon |
| GIVEN NAMES | Moongee |
| FAMILY NAME | Jeon |
| SIGNATURE | JEON M |
| AFFILIATIONS | University of California, Los Angeles |
| ORCID | 0000-0002-5880-4146 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 155 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Exploring the Feasibility of Assessing Stress, Depression, and Anxiety Using Text-Based Language Analysis
Background and objective: Mental health problems, including stress, depression, and anxiety are becoming increasingly prevalent, and there is growing interest in expanding the evaluation of agro-healing programs beyond traditional self-report questionnaires and physiological indicators. Linguistic features embedded in open-ended text responses may serve as supplementary indicators of individuals’ emotional and cognitive states. This study examine…
Network Approaches to Binary Assessment Data
This study compares two network-based approaches for analyzing binary psychological assessment data: network psychometrics and latent space item response modeling (LSIRM). Network psychometrics, a well-established method, infers relationships among items or symptoms based on pairwise conditional dependencies. In contrast, LSIRM is a more recent framework that represents item responses as a bipartite network of respondents and items embedded in a …
A Latent Space Graded Response Model for Likert-Scale Psychological Assessments
In this study, we introduce a novel modeling approach for ordinal response data, extending the one-parameter graded response model. The proposed model incorporates unobserved interactions between respondents and items, represented as distances in a two-dimensional Euclidean space, referred to as an interaction map. This latent space graded response model (LSGRM) addresses potential violations of the conditional independence assumption shared by t…
Effects of ACT-Based Agro-Healing Programs on Subjective Emotions
Background and objective: Rapid changes in modern society have intensified psychological and emotional challenges across all age groups. This study examined the effects of a life cycle-based agro-healing program on children, adults, and older adults. The program incorporated nature-based activities and the theoretical principles of Acceptance and Commitment Therapy (ACT), addressing age-specific issues: school bullying in children, job burnout in…
TDCM
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or non-proficiency of specified latent attributes. Longitudinal DCMs have recently been developed as psychometric models for modeling changes in examinee proficiency statuses over time. Currently, software programs for estimating longitudinal DCMs are limited in functionality and generality, expensive, or cumbersome for ap…
Ideal Point or Dominance Process? Unfolding Tree Approaches to Likert Scale Data with Multi-Process Models
This study introduces a new multi-process analytical framework based on the ideal point assumption for analyzing Likert scale data with three newly developed Unfolding Tree (UTree) models. Through simulations, we tested the performance of proposed models and existing Item Response Tree (IRTree) models across various conditions. Subsequently, empirical data were utilized to analyze and compare the UTree models relative to IRTree models, exploring …
Psychometric Properties of the Science Self-Efficacy Scale for STEMM Undergraduates
Biomedical research training initiatives need rigorous evaluation to achieve national goals of supporting a robust workforce in the biomedical sciences. Higher science self-efficacy is associated with the likelihood of pursuing a science-related research career, but we know little about the psychometric properties of this construct. In this study, we report on a comprehensive validation study of the Science Self-Efficacy Scale using a robust samp…
Corpus stylistic analysis of literary translation using multilevel linguistic measures
Previous studies in corpus-based literary translation have tended to focus on only one or two specific aspects of style. In this study we expand the existing analytical paradigm to show how the style inherent in source texts (STs) is reflected in their translations. We do this using thirty-six multilevel linguistic features. The selected texts are James Joyce’s Dubliners and A Portrait of the Artist as a Young Man and their Korean translations. W…
A Practical Guide to Causal Mediation Analysis
Experimental and quasi-experimental designs have been increasingly employed in education. Mediation analysis has long been used to measure the role of mediators. Causal mediation analysis provides a modern approach to evaluate potential causal roles of mediators. Compared with conventional mediation analysis, causal mediation analysis has several advantages, e.g., by enabling us to evaluate necessary assumptions to establish a valid causal role o…
Modeling the interaction between resilience and ability in assessments with allowances for multiple attempts
Many computer-based assessments, in particular those administered in learning settings, provide immediate item-level feedback and permit respondents to retry questions following incorrect responses. Doing so supports learning and facilitates the measurement of partial mastery. However, persistence through attempts may introduce new factors, such as resilience, affecting a student's test score. The current study proposes a tree-based approach to j…
The trees and the forest
We agree with Arocha that the common and exclusive focus on aggregate results of psychological studies creates problems. While a paradigm shift toward idiographic approaches or control theory might help, we argue that traditional approaches can accomplish more if measures of variability are taken seriously. We discuss three kinds of studies: within-person treatment studies, questionnaire-based studies, and replication studies. For each of these, …
International scholarship for social change? Re‐contextualizing Global Korea Scholarship alumni’s perceptions of justice and diversity in South Korea
This study examines South Korea’s international scholarship program based on responses to the Global Korea Scholarship (GKS) alumni survey to find how the participants perceive the host country’s dimensions of justice and diversity. We employ the concept of justice in terms of redistribution, recognition, and representation. Analysis of GKS alumni perceptions of Korean society revealed that international mobility programs may provide positive and…
Estimating Complex Measurement and Growth Models Using the R Package PLmixed
Measurement models, such as factor analysis and item response theory models, are commonly implemented within educational, psychological, and behavioral science research to mitigate the negative effects of measurement error. These models can be formulated as an extension of generalized linear mixed models within a unifying framework that encompasses various kinds of multilevel models and longitudinal models, such as partially nonlinear latent grow…
Stability of Retrospective Pregnancy Intention Reporting Among Women with Unwanted Pregnancies in the United States
Perceived crisis and reforms
An overview and discussion is made of the perceived replication crisis in terms of end problems, explanations, and remedies. Following a discussion of a published large-scale replication study and a review of the meta-analysis literature, we come to the conclusion that many effects are small and that on average the variance of the effects is roughly 10% to 25% of the population variance, most likely because of context dependencies. The proposed e…
Examining the Temporal Development of Phonetic and Lexical Learning in Second Language
The purpose of this study was to investigate how second-language (L2) learners lexically encode confusable phonemes. Given the inconsistency of previous studies on whether and if so how learners can establish separate lexical representations of confusable categories, we examined (1) how phonetic categorization and lexical encoding abilities were developed at the early stage of learning and (2) whether there are any differences in those abilities …
Redefine statistical significance
A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods
Multirater (multimethod, multisource) studies are increasingly applied in psychology. Eid and colleagues (2008) proposed a multilevel confirmatory factor model for multitrait-multimethod (MTMM) data combining structurally different and multiple independent interchangeable methods (raters). In many studies, however, different interchangeable raters (e.g., peers, subordinates) are asked to rate different targets (students, supervisors), leading to …
Pronoun Use Reflects Standings in Social Hierarchies
Five studies explored the ways relative rank is revealed among individuals in small groups through their natural use of pronouns. In Experiment 1, four-person groups worked on a decision-making task with randomly assigned leadership status. In Studies 2 and 3, two-person groups either worked on a task or chatted informally in a get-to-know-you session. Study 4 was a naturalistic study of incoming and outgoing e-mail of 9 participants who provided…
Agent Technologies Designed to Facilitate Interactive Knowledge Construction
During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge during learning. This article describes computer technologies that have been developed during the last…
Redefine statistical significance
Pronoun Use Reflects Standings in Social Hierarchies
Five studies explored the ways relative rank is revealed among individuals in small groups through their natural use of pronouns. In Experiment 1, four-person groups worked on a decision-making task with randomly assigned leadership status. In Studies 2 and 3, two-person groups either worked on a task or chatted informally in a get-to-know-you session. Study 4 was a naturalistic study of incoming and outgoing e-mail of 9 participants who provided…
Perceived crisis and reforms
An overview and discussion is made of the perceived replication crisis in terms of end problems, explanations, and remedies. Following a discussion of a published large-scale replication study and a review of the meta-analysis literature, we come to the conclusion that many effects are small and that on average the variance of the effects is roughly 10% to 25% of the population variance, most likely because of context dependencies. The proposed e…
Agent Technologies Designed to Facilitate Interactive Knowledge Construction
During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge during learning. This article describes computer technologies that have been developed during the last…
International scholarship for social change? Re‐contextualizing Global Korea Scholarship alumni’s perceptions of justice and diversity in South Korea
This study examines South Korea’s international scholarship program based on responses to the Global Korea Scholarship (GKS) alumni survey to find how the participants perceive the host country’s dimensions of justice and diversity. We employ the concept of justice in terms of redistribution, recognition, and representation. Analysis of GKS alumni perceptions of Korean society revealed that international mobility programs may provide positive and…
Agent Technologies Designed to Facilitate Interactive Knowledge Construction
During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge during learning. This article describes computer technologies that have been developed during the last…
Pronoun Use Reflects Standings in Social Hierarchies
Five studies explored the ways relative rank is revealed among individuals in small groups through their natural use of pronouns. In Experiment 1, four-person groups worked on a decision-making task with randomly assigned leadership status. In Studies 2 and 3, two-person groups either worked on a task or chatted informally in a get-to-know-you session. Study 4 was a naturalistic study of incoming and outgoing e-mail of 9 participants who provided…
A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods
Multirater (multimethod, multisource) studies are increasingly applied in psychology. Eid and colleagues (2008) proposed a multilevel confirmatory factor model for multitrait-multimethod (MTMM) data combining structurally different and multiple independent interchangeable methods (raters). In many studies, however, different interchangeable raters (e.g., peers, subordinates) are asked to rate different targets (students, supervisors), leading to …
Examining the Temporal Development of Phonetic and Lexical Learning in Second Language
The purpose of this study was to investigate how second-language (L2) learners lexically encode confusable phonemes. Given the inconsistency of previous studies on whether and if so how learners can establish separate lexical representations of confusable categories, we examined (1) how phonetic categorization and lexical encoding abilities were developed at the early stage of learning and (2) whether there are any differences in those abilities …
Redefine statistical significance
Perceived crisis and reforms
An overview and discussion is made of the perceived replication crisis in terms of end problems, explanations, and remedies. Following a discussion of a published large-scale replication study and a review of the meta-analysis literature, we come to the conclusion that many effects are small and that on average the variance of the effects is roughly 10% to 25% of the population variance, most likely because of context dependencies. The proposed e…
Estimating Complex Measurement and Growth Models Using the R Package PLmixed
Measurement models, such as factor analysis and item response theory models, are commonly implemented within educational, psychological, and behavioral science research to mitigate the negative effects of measurement error. These models can be formulated as an extension of generalized linear mixed models within a unifying framework that encompasses various kinds of multilevel models and longitudinal models, such as partially nonlinear latent grow…
Stability of Retrospective Pregnancy Intention Reporting Among Women with Unwanted Pregnancies in the United States
Modeling the interaction between resilience and ability in assessments with allowances for multiple attempts
Many computer-based assessments, in particular those administered in learning settings, provide immediate item-level feedback and permit respondents to retry questions following incorrect responses. Doing so supports learning and facilitates the measurement of partial mastery. However, persistence through attempts may introduce new factors, such as resilience, affecting a student's test score. The current study proposes a tree-based approach to j…
The trees and the forest
We agree with Arocha that the common and exclusive focus on aggregate results of psychological studies creates problems. While a paradigm shift toward idiographic approaches or control theory might help, we argue that traditional approaches can accomplish more if measures of variability are taken seriously. We discuss three kinds of studies: within-person treatment studies, questionnaire-based studies, and replication studies. For each of these, …
International scholarship for social change? Re‐contextualizing Global Korea Scholarship alumni’s perceptions of justice and diversity in South Korea
This study examines South Korea’s international scholarship program based on responses to the Global Korea Scholarship (GKS) alumni survey to find how the participants perceive the host country’s dimensions of justice and diversity. We employ the concept of justice in terms of redistribution, recognition, and representation. Analysis of GKS alumni perceptions of Korean society revealed that international mobility programs may provide positive and…
A Practical Guide to Causal Mediation Analysis
Experimental and quasi-experimental designs have been increasingly employed in education. Mediation analysis has long been used to measure the role of mediators. Causal mediation analysis provides a modern approach to evaluate potential causal roles of mediators. Compared with conventional mediation analysis, causal mediation analysis has several advantages, e.g., by enabling us to evaluate necessary assumptions to establish a valid causal role o…
Corpus stylistic analysis of literary translation using multilevel linguistic measures
Previous studies in corpus-based literary translation have tended to focus on only one or two specific aspects of style. In this study we expand the existing analytical paradigm to show how the style inherent in source texts (STs) is reflected in their translations. We do this using thirty-six multilevel linguistic features. The selected texts are James Joyce’s Dubliners and A Portrait of the Artist as a Young Man and their Korean translations. W…
Effects of ACT-Based Agro-Healing Programs on Subjective Emotions
Background and objective: Rapid changes in modern society have intensified psychological and emotional challenges across all age groups. This study examined the effects of a life cycle-based agro-healing program on children, adults, and older adults. The program incorporated nature-based activities and the theoretical principles of Acceptance and Commitment Therapy (ACT), addressing age-specific issues: school bullying in children, job burnout in…
TDCM
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or non-proficiency of specified latent attributes. Longitudinal DCMs have recently been developed as psychometric models for modeling changes in examinee proficiency statuses over time. Currently, software programs for estimating longitudinal DCMs are limited in functionality and generality, expensive, or cumbersome for ap…
Ideal Point or Dominance Process? Unfolding Tree Approaches to Likert Scale Data with Multi-Process Models
This study introduces a new multi-process analytical framework based on the ideal point assumption for analyzing Likert scale data with three newly developed Unfolding Tree (UTree) models. Through simulations, we tested the performance of proposed models and existing Item Response Tree (IRTree) models across various conditions. Subsequently, empirical data were utilized to analyze and compare the UTree models relative to IRTree models, exploring …
Psychometric Properties of the Science Self-Efficacy Scale for STEMM Undergraduates
Biomedical research training initiatives need rigorous evaluation to achieve national goals of supporting a robust workforce in the biomedical sciences. Higher science self-efficacy is associated with the likelihood of pursuing a science-related research career, but we know little about the psychometric properties of this construct. In this study, we report on a comprehensive validation study of the Science Self-Efficacy Scale using a robust samp…
Exploring the Feasibility of Assessing Stress, Depression, and Anxiety Using Text-Based Language Analysis
Background and objective: Mental health problems, including stress, depression, and anxiety are becoming increasingly prevalent, and there is growing interest in expanding the evaluation of agro-healing programs beyond traditional self-report questionnaires and physiological indicators. Linguistic features embedded in open-ended text responses may serve as supplementary indicators of individuals’ emotional and cognitive states. This study examine…
Network Approaches to Binary Assessment Data
This study compares two network-based approaches for analyzing binary psychological assessment data: network psychometrics and latent space item response modeling (LSIRM). Network psychometrics, a well-established method, infers relationships among items or symptoms based on pairwise conditional dependencies. In contrast, LSIRM is a more recent framework that represents item responses as a bipartite network of respondents and items embedded in a …
A Latent Space Graded Response Model for Likert-Scale Psychological Assessments
In this study, we introduce a novel modeling approach for ordinal response data, extending the one-parameter graded response model. The proposed model incorporates unobserved interactions between respondents and items, represented as distances in a two-dimensional Euclidean space, referred to as an interaction map. This latent space graded response model (LSGRM) addresses potential violations of the conditional independence assumption shared by t…
Psychology (12 works) · Computer Science (11 works) · Mathematics (8 works) · Mental Health Research Topics (7 works) · Social Psychology (6 works) · Psychometric Methodologies and Testing (5 works) · Statistics (5 works) · Artificial Intelligence (4 works) · Econometrics (4 works) · Linguistics (4 works)