Anne Corinne Huggins-Manley
Biographic Data
| ID | 9251472 |
|---|---|
| NAME | Anne Corinne Huggins-Manley |
| GIVEN NAMES | Anne Corinne |
| FAMILY NAME | Huggins-Manley |
| SIGNATURE | HUGGINS-MANLEY A C |
| AFFILIATIONS | University of Florida, Gainesville, FL, USA |
| ORCID | 0000-0003-0102-7849 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Evaluating the Performance of a Regularized Differential Item Functioning Method for Testlet-Based Polytomous Items
This study investigated the effect of testlets on regularization-based differential item functioning (DIF) detection in polytomous items, focusing on the generalized partial credit model with lasso penalization (GPCMlasso) DIF method. Five factors were manipulated: sample size, magnitude of testlet effect, magnitude of DIF, number of DIF items, and type of DIF-inducing covariates. Model performance was evaluated using false-positive rate (FPR) an…
Kids these days and kids those days
Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of nonignorable missing data in the VLE log file data, and this is expected to negatively affect IRT item p…
Predict or describe? How learning analytics dashboard design influences motivation and statistics anxiety in an online statistics course
Chinese Preschool Teachers’ Implementation of Practices to Support Young Children’s Social-Emotional Competence
Research Findings: Preschool social-emotional education has become an increasingly important area of research and practice in mainland China. The social development domain has been recognized as an independent preschool curricular domain since 2001. Little is known, however, about the specific practices that preschool teachers in China are using to promote children's social-emotional competence. An investigator-developed and validated measure, th…
The influence of task-value scaffolding in a predictive learning analytics dashboard on learners' statistics anxiety, motivation, and performance
Exploring student and teacher usage patterns associated with student attrition in an open educational resource-supported online learning platform
Applying Unidimensional Models for Semiordered Data to Scale Data With Neutral Responses
The purpose of this study is to evaluate whether a recently developed semiordered model can be used to explore the functioning of neutral response options in rating scale data. Huggins-Manley, Algina, and Zhou developed a class of unidimensional models for semiordered data within scale items (i.e., items with both ordered response categories and an additional nominal response category) and found promising results when applying them to scale data …
The Performance of the Semigeneralized Partial Credit Model for Handling Item-Level Missingness
The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the unidimensional Semi-GPCM to aid in the recovery of person parameters from item response data in the presence of i…
Imputation Methods to Deal With Missing Responses in Computerized Adaptive Multistage Testing
Routing examinees to modules based on their ability level is a very important aspect in computerized adaptive multistage testing. However, the presence of missing responses may complicate estimation of examinee ability, which may result in misrouting of individuals. Therefore, missing responses should be handled carefully. This study investigated multiple missing data methods in computerized adaptive multistage testing, including two imputation t…
Evaluating the Accuracy of the Empirical Item Characteristic Curve Preequating Method in the Presence of Test Speededness
This study aimed to assess the accuracy of the empirical item characteristic curve (EICC) preequating method given the presence of test speededness. The simulation design of this study considered the proportion of speededness, speededness point, speededness rate, proportion of missing on speeded items, sample size, and test length. After crossing all of the manipulated factors and then normalizing the evaluation criteria (bias and root mean squar…
Retrofitting Diagnostic Classification Models to Responses From IRT-Based Assessment Forms
Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item response theory frameworks. Retrofitting diagnostic classification models to existing assessments designe…
Psychometric Consequences of Subpopulation Item Parameter Drift
This study defines subpopulation item parameter drift (SIPD) as a change in item parameters over time that is dependent on subpopulations of examinees, and hypothesizes that the presence of SIPD in anchor items is associated with bias and/or lack of invariance in three psychometric outcomes. Results show that SIPD in anchor items is associated with a lack of invariance in dimensionality structure of an anchor test, a lack of invariance in scaling…
The Impact of Q-Matrix Designs on Diagnostic Classification Accuracy in the Presence of Attribute Hierarchies
There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a hierarchical structure because student learning and development is a sequential process where many skills …
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Psychometric Consequences of Subpopulation Item Parameter Drift
This study defines subpopulation item parameter drift (SIPD) as a change in item parameters over time that is dependent on subpopulations of examinees, and hypothesizes that the presence of SIPD in anchor items is associated with bias and/or lack of invariance in three psychometric outcomes. Results show that SIPD in anchor items is associated with a lack of invariance in dimensionality structure of an anchor test, a lack of invariance in scaling…
The Impact of Q-Matrix Designs on Diagnostic Classification Accuracy in the Presence of Attribute Hierarchies
There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a hierarchical structure because student learning and development is a sequential process where many skills …
Evaluating the Accuracy of the Empirical Item Characteristic Curve Preequating Method in the Presence of Test Speededness
This study aimed to assess the accuracy of the empirical item characteristic curve (EICC) preequating method given the presence of test speededness. The simulation design of this study considered the proportion of speededness, speededness point, speededness rate, proportion of missing on speeded items, sample size, and test length. After crossing all of the manipulated factors and then normalizing the evaluation criteria (bias and root mean squar…
Retrofitting Diagnostic Classification Models to Responses From IRT-Based Assessment Forms
Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item response theory frameworks. Retrofitting diagnostic classification models to existing assessments designe…
Imputation Methods to Deal With Missing Responses in Computerized Adaptive Multistage Testing
Routing examinees to modules based on their ability level is a very important aspect in computerized adaptive multistage testing. However, the presence of missing responses may complicate estimation of examinee ability, which may result in misrouting of individuals. Therefore, missing responses should be handled carefully. This study investigated multiple missing data methods in computerized adaptive multistage testing, including two imputation t…
Exploring student and teacher usage patterns associated with student attrition in an open educational resource-supported online learning platform
Applying Unidimensional Models for Semiordered Data to Scale Data With Neutral Responses
The purpose of this study is to evaluate whether a recently developed semiordered model can be used to explore the functioning of neutral response options in rating scale data. Huggins-Manley, Algina, and Zhou developed a class of unidimensional models for semiordered data within scale items (i.e., items with both ordered response categories and an additional nominal response category) and found promising results when applying them to scale data …
The Performance of the Semigeneralized Partial Credit Model for Handling Item-Level Missingness
The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the unidimensional Semi-GPCM to aid in the recovery of person parameters from item response data in the presence of i…
Predict or describe? How learning analytics dashboard design influences motivation and statistics anxiety in an online statistics course
Chinese Preschool Teachers’ Implementation of Practices to Support Young Children’s Social-Emotional Competence
Research Findings: Preschool social-emotional education has become an increasingly important area of research and practice in mainland China. The social development domain has been recognized as an independent preschool curricular domain since 2001. Little is known, however, about the specific practices that preschool teachers in China are using to promote children's social-emotional competence. An investigator-developed and validated measure, th…
The influence of task-value scaffolding in a predictive learning analytics dashboard on learners' statistics anxiety, motivation, and performance
Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of nonignorable missing data in the VLE log file data, and this is expected to negatively affect IRT item p…
Kids these days and kids those days
Evaluating the Performance of a Regularized Differential Item Functioning Method for Testlet-Based Polytomous Items
This study investigated the effect of testlets on regularization-based differential item functioning (DIF) detection in polytomous items, focusing on the generalized partial credit model with lasso penalization (GPCMlasso) DIF method. Five factors were manipulated: sample size, magnitude of testlet effect, magnitude of DIF, number of DIF items, and type of DIF-inducing covariates. Model performance was evaluated using false-positive rate (FPR) an…
Psychology (11 works) · Statistics (10 works) · Computer Science (9 works) · Mathematics (9 works) · Psychometric Methodologies and Testing (8 works) · Econometrics (6 works) · Item response theory (6 works) · Psychometrics (6 works) · Advanced Statistical Modeling Techniques (5 works) · Test (biology) (5 works)