William J Browne
Biographic Data
| ID | 4168513 |
|---|---|
| NAME | William J Browne |
| GIVEN NAMES | William J |
| FAMILY NAME | Browne |
| SIGNATURE | BROWNE W J |
| AFFILIATIONS | University of Bristol |
| ORCID | 0000-0002-6659-6885 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 20 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1960 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Teachers’ language assessment literacy
Assessment Development and Validation Using Mixed Methods Methodology
Assessment development and validation is a complex endeavor but studies that are intentionally guided by specific theories and approaches are still needed. As an effective integration method, ways to expand the use of joint displays to visualize and make transparent integrations across the research process need to be explored in different fields. Using an example in education, this article contributes to mixed methods validation research in four …
State and wealth inequalities in foundational literacy and numeracy skills of secondary school-aged children in Nigeria
We investigate state and wealth inequalities in foundational literacy and numeracy skills of secondary school-aged children in Nigeria. We analyse the 2015 Nigerian Education Data Survey using multilevel logistic regression. Our findings reveal significant inequalities in foundational literacy and numeracy skills across states and socioeconomic groups within Nigeria. Over and above the stark household wealth effect, we find a substantial impact o…
Exploring Chinese high school students' performance and perceptions of scientific argumentation by understanding it as a three‐component progression of competencies
Argumentation plays a significant role in science as a scientific practice in which knowledge is constructed, evaluated, and modified. Scientific argumentation (SA) is thus a promising activity for students to pursue in order to think and act like scientists and to enhance their understanding of science. Considering the impact that assessments usually have on teaching and their role in understanding students' ability, this study aims to explore t…
Decomposing Ethnic Achievement Gaps across Multiple Levels of Analysis and for Multiple Ethnic Groups
Ethnic achievement gaps are often explained in terms of student and school factors. The decomposition of these gaps into their within- and between-school components has therefore been applied as a strategy to quantify the overall influence of each set of factors. Three competing approaches have previously been proposed, but each is limited to the study of student-school decompositions of the gap between two ethnic groups (e.g., White and Black). …
Bayesian Multilevel Structural Equation Modeling
Bayesian estimation of multilevel structural equation models (MLSEMs) offers advantages in terms of sample size requirements and computational feasibility, but does require careful specification of the prior distribution especially for the random effects variance parameters. The traditional "non-informative" conjugate choice of an inverse-Gamma prior with small hyperparameters has been shown time and again to be problematic. In this paper, we inv…
Non-Hierarchical Multilevel Models
A comparison of Bayesian and likelihood-based methods for fitting multilevel models
We use simulation studies, whose design is realistic for educational and medical research (as well as other fields of inquiry), to compare Bayesian and likelihood-based methods for fitting variance-components (VC) and random-effects logistic regression (RELR) models. The likelihood (and approximate likelihood) approaches we examine are based on the methods most widely used in current applied multilevel (hierarchical) analyses: maximum likelihood …
Variance Partitioning in Multilevel Logistic Models that Exhibit Overdispersion
A common application of multilevel models is to apportion the variance in the response according to the different levels of the data. Whereas partitioning variances is straightforward in models with a continuous response variable with a normal error distribution at each level, the extension of this partitioning to models with binary responses or to proportions or counts is less obvious. We describe methodology due to Goldstein and co-workers for …
Partitioning Variation in Multilevel Models
In multilevel modeling the residual variation in a response variable is split into component parts that are attributed to various levels. In applied work, much use is made of the percentage of variation that is attributable to the higher level sources of variation. Such a measure, however, makes sense only in simple variance components, Normal response, models where it is often referred to as the intra-unit correlation. In this article we describ…
A Study of Class Size Effects in English School Reception Year Classes
This article reviews the existing evidence on the relationship between class size and achievement for children in their first years of schooling. It then describes a large‐scale longitudinal study of such children within English Local Education Authorities and presents results for achievement progress in literacy and mathematics during the reception year. Using a series of multilevel models, it is shown that there is a relationship with size of c…
Multiple membership multiple classification (MMMC) models
In the social and other sciences many data are collected with a known but complex underlying structure. Over the past two decades there has been an increase in the use of multilevel modelling techniques that account for nested data structures. Often however the underlying data structures are more complex and cannot be fitted into a nested structure. First, there are cross-classified models where the classifications in the data are not nested. Sec…
Multilevel Models in the Study of Dynamic Household Structures
Don F. Hadwiger
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button
The Alcoholic Bout as an Acting Out
Psychosocial aspects of hemophilia
Multilevel Models in the Study of Dynamic Household Structures
A Study of Class Size Effects in English School Reception Year Classes
This article reviews the existing evidence on the relationship between class size and achievement for children in their first years of schooling. It then describes a large‐scale longitudinal study of such children within English Local Education Authorities and presents results for achievement progress in literacy and mathematics during the reception year. Using a series of multilevel models, it is shown that there is a relationship with size of c…
Psychosocial aspects of hemophilia
Psychosocial aspects of hemophilia
The Alcoholic Bout as an Acting Out
Don F. Hadwiger
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button
Multilevel Models in the Study of Dynamic Household Structures
Multiple membership multiple classification (MMMC) models
In the social and other sciences many data are collected with a known but complex underlying structure. Over the past two decades there has been an increase in the use of multilevel modelling techniques that account for nested data structures. Often however the underlying data structures are more complex and cannot be fitted into a nested structure. First, there are cross-classified models where the classifications in the data are not nested. Sec…
Partitioning Variation in Multilevel Models
In multilevel modeling the residual variation in a response variable is split into component parts that are attributed to various levels. In applied work, much use is made of the percentage of variation that is attributable to the higher level sources of variation. Such a measure, however, makes sense only in simple variance components, Normal response, models where it is often referred to as the intra-unit correlation. In this article we describ…
A Study of Class Size Effects in English School Reception Year Classes
This article reviews the existing evidence on the relationship between class size and achievement for children in their first years of schooling. It then describes a large‐scale longitudinal study of such children within English Local Education Authorities and presents results for achievement progress in literacy and mathematics during the reception year. Using a series of multilevel models, it is shown that there is a relationship with size of c…
Variance Partitioning in Multilevel Logistic Models that Exhibit Overdispersion
A common application of multilevel models is to apportion the variance in the response according to the different levels of the data. Whereas partitioning variances is straightforward in models with a continuous response variable with a normal error distribution at each level, the extension of this partitioning to models with binary responses or to proportions or counts is less obvious. We describe methodology due to Goldstein and co-workers for …
A comparison of Bayesian and likelihood-based methods for fitting multilevel models
We use simulation studies, whose design is realistic for educational and medical research (as well as other fields of inquiry), to compare Bayesian and likelihood-based methods for fitting variance-components (VC) and random-effects logistic regression (RELR) models. The likelihood (and approximate likelihood) approaches we examine are based on the methods most widely used in current applied multilevel (hierarchical) analyses: maximum likelihood …
Non-Hierarchical Multilevel Models
Bayesian Multilevel Structural Equation Modeling
Bayesian estimation of multilevel structural equation models (MLSEMs) offers advantages in terms of sample size requirements and computational feasibility, but does require careful specification of the prior distribution especially for the random effects variance parameters. The traditional "non-informative" conjugate choice of an inverse-Gamma prior with small hyperparameters has been shown time and again to be problematic. In this paper, we inv…
Decomposing Ethnic Achievement Gaps across Multiple Levels of Analysis and for Multiple Ethnic Groups
Ethnic achievement gaps are often explained in terms of student and school factors. The decomposition of these gaps into their within- and between-school components has therefore been applied as a strategy to quantify the overall influence of each set of factors. Three competing approaches have previously been proposed, but each is limited to the study of student-school decompositions of the gap between two ethnic groups (e.g., White and Black). …
Exploring Chinese high school students' performance and perceptions of scientific argumentation by understanding it as a three‐component progression of competencies
Argumentation plays a significant role in science as a scientific practice in which knowledge is constructed, evaluated, and modified. Scientific argumentation (SA) is thus a promising activity for students to pursue in order to think and act like scientists and to enhance their understanding of science. Considering the impact that assessments usually have on teaching and their role in understanding students' ability, this study aims to explore t…
State and wealth inequalities in foundational literacy and numeracy skills of secondary school-aged children in Nigeria
We investigate state and wealth inequalities in foundational literacy and numeracy skills of secondary school-aged children in Nigeria. We analyse the 2015 Nigerian Education Data Survey using multilevel logistic regression. Our findings reveal significant inequalities in foundational literacy and numeracy skills across states and socioeconomic groups within Nigeria. Over and above the stark household wealth effect, we find a substantial impact o…
Teachers’ language assessment literacy
Assessment Development and Validation Using Mixed Methods Methodology
Assessment development and validation is a complex endeavor but studies that are intentionally guided by specific theories and approaches are still needed. As an effective integration method, ways to expand the use of joint displays to visualize and make transparent integrations across the research process need to be explored in different fields. Using an example in education, this article contributes to mixed methods validation research in four …
Computer Science (9 works) · Mathematics (8 works) · Psychology (7 works) · Mathematics education (5 works) · Multilevel model (5 works) · Statistical Methods and Bayesian Inference (5 works) · Statistics (5 works) · Econometrics (4 works) · Bayesian probability (3 works) · Literacy (3 works)