Allison J Ames
Biographic Data
| ID | 8867129 |
|---|---|
| NAME | Allison J Ames |
| GIVEN NAMES | Allison J |
| FAMILY NAME | Ames |
| SIGNATURE | AMES A J |
| AFFILIATIONS | University of Arkansas, Fayetteville, AR, USA |
| ORCID | 0000-0002-1512-9830 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Standards-aligned annotations reveal organizational patterns in argumentative essays at scale
While scoring rubrics are widely used to evaluate student writing, they often fail to provide actionable feedback. Delivering such feedback—especially in an automated, scalable manner—requires the standardized detection of finer-grained information within a student’s essay. Achieving this level of detail demands the same rigor in development and training as creating a high-quality rubric. To this end, we describe the development of annotation gui…
Implementing a Standardized Effect Size in the Polysibtest Procedure
A study was conducted to implement the use of a standardized effect size and corresponding classification guidelines for polytomous data with the POLYSIBTEST procedure and compare those guidelines with prior recommendations. Two simulation studies were included. The first identifies new unstandardized test heuristics for classifying moderate and large differential item functioning (DIF) for polytomous response data with three to seven response op…
Reevaluating the Sibtest Classification Heuristics for Dichotomous Differential Item Functioning
A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel–Haenszel procedure. Prior heuristics have been used for nearly 25 years, but they are based on a simulation study that was restricted due to computer limitations and that modeled item parameters from estimates of ACT and ASVAB tests from 1987 and 1984, respectively. Further, suggested …
Measuring Response Style Stability Across Constructs With Item Response Trees
Individual response style behaviors, unrelated to the latent trait of interest, may influence responses to ordinal survey items. Response style can introduce bias in the total score with respect to the trait of interest, threatening valid interpretation of scores. Despite claims of response style stability across scales, there has been little research into stability across multiple scales from the beneficial perspective of item response trees. Th…
Modeling Changes in Response Style with Longitudinal IRTree Models
Traditional psychometric modeling focuses on observed categorical item responses, which can over-simplify the respondent cognitive response process. A further weakness is that analysis of ordinal responses has been primarily limited to a single substantive trait at one time point. We propose a significant expansion of this modeling framework to account for complex response processes across multiple waves of data collection using the beneficial it…
Explaining Variability in Response Style Traits
Contamination of responses due to extreme and midpoint response style can confound the interpretation of scores, threatening the validity of inferences made from survey responses. This study incorporated person-level covariates in the multidimensional item response tree model to explain heterogeneity in response style. We include an empirical example and two simulation studies to support the use and interpretation of the model: parameter recovery…
Using SAS PROC MCMC for Item Response Theory Models
Interest in using Bayesian methods for estimating item response theory models has grown at a remarkable rate in recent years. This attentiveness to Bayesian estimation has also inspired a growth in available software such as WinBUGS, R packages, BMIRT, MPLUS, and SAS PROC MCMC. This article intends to provide an accessible overview of Bayesian methods in the context of item response theory to serve as a useful guide for practitioners in estimatin…
Multilevel Modeling in Psychosomatic Medicine Research
The primary purpose of this study is to provide an overview of multilevel modeling for Psychosomatic Medicine readers and contributors. The article begins with a general introduction to multilevel modeling. Multilevel regression modeling at two levels is emphasized because of its prevalence in psychosomatic medicine research. Simulated data sets based on some core ideas from the Familias Unidas effectiveness study are used to illustrate key conce…
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Multilevel Modeling in Psychosomatic Medicine Research
The primary purpose of this study is to provide an overview of multilevel modeling for Psychosomatic Medicine readers and contributors. The article begins with a general introduction to multilevel modeling. Multilevel regression modeling at two levels is emphasized because of its prevalence in psychosomatic medicine research. Simulated data sets based on some core ideas from the Familias Unidas effectiveness study are used to illustrate key conce…
Using SAS PROC MCMC for Item Response Theory Models
Interest in using Bayesian methods for estimating item response theory models has grown at a remarkable rate in recent years. This attentiveness to Bayesian estimation has also inspired a growth in available software such as WinBUGS, R packages, BMIRT, MPLUS, and SAS PROC MCMC. This article intends to provide an accessible overview of Bayesian methods in the context of item response theory to serve as a useful guide for practitioners in estimatin…
Explaining Variability in Response Style Traits
Contamination of responses due to extreme and midpoint response style can confound the interpretation of scores, threatening the validity of inferences made from survey responses. This study incorporated person-level covariates in the multidimensional item response tree model to explain heterogeneity in response style. We include an empirical example and two simulation studies to support the use and interpretation of the model: parameter recovery…
Reevaluating the Sibtest Classification Heuristics for Dichotomous Differential Item Functioning
A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel–Haenszel procedure. Prior heuristics have been used for nearly 25 years, but they are based on a simulation study that was restricted due to computer limitations and that modeled item parameters from estimates of ACT and ASVAB tests from 1987 and 1984, respectively. Further, suggested …
Measuring Response Style Stability Across Constructs With Item Response Trees
Individual response style behaviors, unrelated to the latent trait of interest, may influence responses to ordinal survey items. Response style can introduce bias in the total score with respect to the trait of interest, threatening valid interpretation of scores. Despite claims of response style stability across scales, there has been little research into stability across multiple scales from the beneficial perspective of item response trees. Th…
Modeling Changes in Response Style with Longitudinal IRTree Models
Traditional psychometric modeling focuses on observed categorical item responses, which can over-simplify the respondent cognitive response process. A further weakness is that analysis of ordinal responses has been primarily limited to a single substantive trait at one time point. We propose a significant expansion of this modeling framework to account for complex response processes across multiple waves of data collection using the beneficial it…
Implementing a Standardized Effect Size in the Polysibtest Procedure
A study was conducted to implement the use of a standardized effect size and corresponding classification guidelines for polytomous data with the POLYSIBTEST procedure and compare those guidelines with prior recommendations. Two simulation studies were included. The first identifies new unstandardized test heuristics for classifying moderate and large differential item functioning (DIF) for polytomous response data with three to seven response op…
Standards-aligned annotations reveal organizational patterns in argumentative essays at scale
While scoring rubrics are widely used to evaluate student writing, they often fail to provide actionable feedback. Delivering such feedback—especially in an automated, scalable manner—requires the standardized detection of finer-grained information within a student’s essay. Achieving this level of detail demands the same rigor in development and training as creating a high-quality rubric. To this end, we describe the development of annotation gui…
Computer Science (7 works) · Mathematics (7 works) · Statistics (7 works) · Econometrics (6 works) · Psychology (6 works) · Advanced Statistical Modeling Techniques (5 works) · Psychometric Methodologies and Testing (5 works) · Item response theory (4 works) · Psychometrics (4 works) · Machine learning (3 works)