Steven Andrew Culpepper
Dados Biográficos
| ID | 8867151 |
|---|---|
| NOME | Steven Andrew Culpepper |
| PRENOMES | Steven Andrew |
| SOBRENOME | Culpepper |
| ASSINATURA | CULPEPPER S A |
| AFILIAÇÕES | University of Illinois Urbana-Champaign |
| ORCID | 0000-0003-4226-6176 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAÇÕES | 50 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2009 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2023 |
| ÍNDICE H | 2 |
Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model
Researchers continue to develop and advance models for diagnostic research in the social and behavioral sciences. These diagnostic models (DMs) provide researchers with a framework for providing a fine-grained classification of respondents into substantively meaningful latent classes as defined by a multivariate collection of binary attributes. A central concern for DMs is advancing exploratory methods for uncovering the latent structure, which c…
Understanding Profiles of Preservice Teachers With Different Levels of Commitment to Teaching in Urban Schools
Understanding the beliefs of preservice teachers is an important area to investigate in the teacher education process. This article examines the relationship between preservice teachers’ beliefs pertaining to diversity and urban schooling and how these inclinations contribute to a commitment to teaching urban students. Canonical correlation analysis was used to identify profiles of preservice teachers who exhibited varying degrees of interest to …
Young Women’s Dynamic Family Size Preferences in the Context of Transitioning Fertility
Dynamic theories of family size preferences posit that they are not a fixed and stable goal but rather are akin to a moving target that changes within individuals over time. Nonetheless, in high-fertility contexts, changes in family size preferences tend to be attributed to low construct validity and measurement error instead of genuine revisions in preferences. To address the appropriateness of this incongruity, the present study examines eviden…
Understanding and estimating the power to detect cross-level interaction effects in multilevel modeling.
Cross-level interaction effects lie at the heart of multilevel contingency and interactionism theories. Researchers have often lamented the difficulty of finding hypothesized cross-level interactions, and to date there has been no means by which the statistical power of such tests can be evaluated. We develop such a method and report results of a large-scale simulation study, verify its accuracy, and provide evidence regarding the relative import…
Studying Individual Differences in Predictability With Gamma Regression and Nonlinear Multilevel Models
Statistical prediction remains an important tool for decisions in a variety of disciplines. An equally important issue is identifying factors that contribute to more or less accurate predictions. The time series literature includes well developed methods for studying predictability and volatility over time. This article develops distribution-appropriate methods for studying individual differences in predictability for settings in psychological re…
A Multilevel Nonlinear Profile Analysis Model for Dichotomous Data
This study linked nonlinear profile analysis (NPA) of dichotomous responses with an existing family of item response theory models and generalized latent variable models (GLVM). The NPA method offers several benefits over previous internal profile analysis methods: (a) NPA is estimated with maximum likelihood in a GLVM framework rather than relying on the choice of different dissimilarity measures that produce different results, (b) item and pers…
Young Women’s Dynamic Family Size Preferences in the Context of Transitioning Fertility
Dynamic theories of family size preferences posit that they are not a fixed and stable goal but rather are akin to a moving target that changes within individuals over time. Nonetheless, in high-fertility contexts, changes in family size preferences tend to be attributed to low construct validity and measurement error instead of genuine revisions in preferences. To address the appropriateness of this incongruity, the present study examines eviden…
Understanding Profiles of Preservice Teachers With Different Levels of Commitment to Teaching in Urban Schools
Understanding the beliefs of preservice teachers is an important area to investigate in the teacher education process. This article examines the relationship between preservice teachers’ beliefs pertaining to diversity and urban schooling and how these inclinations contribute to a commitment to teaching urban students. Canonical correlation analysis was used to identify profiles of preservice teachers who exhibited varying degrees of interest to …
A Multilevel Nonlinear Profile Analysis Model for Dichotomous Data
This study linked nonlinear profile analysis (NPA) of dichotomous responses with an existing family of item response theory models and generalized latent variable models (GLVM). The NPA method offers several benefits over previous internal profile analysis methods: (a) NPA is estimated with maximum likelihood in a GLVM framework rather than relying on the choice of different dissimilarity measures that produce different results, (b) item and pers…
Studying Individual Differences in Predictability With Gamma Regression and Nonlinear Multilevel Models
Statistical prediction remains an important tool for decisions in a variety of disciplines. An equally important issue is identifying factors that contribute to more or less accurate predictions. The time series literature includes well developed methods for studying predictability and volatility over time. This article develops distribution-appropriate methods for studying individual differences in predictability for settings in psychological re…
Understanding and estimating the power to detect cross-level interaction effects in multilevel modeling.
Cross-level interaction effects lie at the heart of multilevel contingency and interactionism theories. Researchers have often lamented the difficulty of finding hypothesized cross-level interactions, and to date there has been no means by which the statistical power of such tests can be evaluated. We develop such a method and report results of a large-scale simulation study, verify its accuracy, and provide evidence regarding the relative import…
Young Women’s Dynamic Family Size Preferences in the Context of Transitioning Fertility
Dynamic theories of family size preferences posit that they are not a fixed and stable goal but rather are akin to a moving target that changes within individuals over time. Nonetheless, in high-fertility contexts, changes in family size preferences tend to be attributed to low construct validity and measurement error instead of genuine revisions in preferences. To address the appropriateness of this incongruity, the present study examines eviden…
Understanding Profiles of Preservice Teachers With Different Levels of Commitment to Teaching in Urban Schools
Understanding the beliefs of preservice teachers is an important area to investigate in the teacher education process. This article examines the relationship between preservice teachers’ beliefs pertaining to diversity and urban schooling and how these inclinations contribute to a commitment to teaching urban students. Canonical correlation analysis was used to identify profiles of preservice teachers who exhibited varying degrees of interest to …
Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model
Researchers continue to develop and advance models for diagnostic research in the social and behavioral sciences. These diagnostic models (DMs) provide researchers with a framework for providing a fine-grained classification of respondents into substantively meaningful latent classes as defined by a multivariate collection of binary attributes. A central concern for DMs is advancing exploratory methods for uncovering the latent structure, which c…
Computer Science (5 obras) · Mathematics (5 obras) · Psychology (5 obras) · Statistics (5 obras) · Econometrics (4 obras) · Advanced Statistical Methods and Models (2 obras) · Item response theory (2 obras) · Latent variable (2 obras) · Multilevel model (2 obras) · Predictability (2 obras)