Marie Wiberg – författare

Mänsklighetens samlade kunskap kan beskrivas som ett stort pussel. Bitar av nytt vetande bygger på och hakar i den tidigare samlade förståelsen om världen vi existerar i. Kunskap från olika vetenskapsområden bygger upp motiven som tillsammans bildar pusslets helhet. Små pusselbitar, till synes isolerade kan leda till stora genombrott när de plötsligt får ett sammanhang från ett angränsande område. I denna essäsamling har ledamöter i Sveriges unga akademi samlat texter om sina olika vetenskapsfält. Liksom kalejdoskopet rymmer boken infallsvinklar från många delar av forskningsfronten och bildar tillsammans en helhet som är något större än varje enskild del. En gemensam nämnare i skildringarna av forskarnas vardag är den otroliga nyfikenhet som driver fram ny kunskap. Ett öppet sinne och ett förutsättningslöst sökande, är närmast en naturlag för att skapa nytt vetande. Det kan tyckas lockande som beslutsfattare att rikta satsningar på forskning mot strategiska mål. Men utan den grundläggande forskning som dag efter dag och år efter år bedrivs kommer aldrig nya mönster att framträda. Vi kan inte säkert veta idag var avgörande genombrott väntar. Lösningar på dagens utmaningar kan som så många gånger förr framträda på oväntat håll.

Ledamöterna inom Sveriges unga akademi representerar ett brett urval av olika vetenskapsområden. Under akademins möten träffas de och får möjlighet till en djupare inblick i respektive fälts stora utmaningar. Genom dessa tvärvetenskapliga möten kan nya frågeställningar formuleras och utforskas genom den bildliga vridningen av kalejdoskopets tub. Därmed finns det redan en rik källa av kunskap att ösa ur när stora samhällsutmaningar tornar upp sig och mänskligheten kan stå lite mer förberedd.

Generalized Kernel Equating is a comprehensive guide for statisticians, psychometricians, and educational researchers aiming to master test score equating. This book introduces the Generalized Kernel Equating (GKE) framework, providing the necessary tools and methodologies for accurate and fair score comparisons.

The book presents test score equating as a statistical problem and covers all commonly used data collection designs. It details the five steps of the GKE framework: presmoothing, estimating score probabilities, continuization, equating transformation, and evaluating the equating transformation. Various presmoothing strategies are explored, including log-linear models, item response theory models, beta4 models, and discrete kernel estimators. The estimation of score probabilities when using IRT models is described and Gaussian kernel continuization is extended to other kernels such as uniform, logistic, epanechnikov and adaptive kernels. Several bandwidth selection methods are described. The kernel equating transformation and variants of it are defined, and both equating-specific and statistical measures for evaluating equating transformations are included. Real data examples, guiding readers through the GKE steps with detailed R code and explanations are provided. Readers are equipped with an advanced knowledge and practical skills for implementing test score equating methods.

Generalized Kernel Equating is a comprehensive guide for statisticians, psychometricians, and educational researchers aiming to master test score equating. This book introduces the Generalized Kernel Equating (GKE) framework, providing the necessary tools and methodologies for accurate and fair score comparisons.

The book presents test score equating as a statistical problem and covers all commonly used data collection designs. It details the five steps of the GKE framework: presmoothing, estimating score probabilities, continuization, equating transformation, and evaluating the equating transformation. Various presmoothing strategies are explored, including log-linear models, item response theory models, beta4 models, and discrete kernel estimators. The estimation of score probabilities when using IRT models is described and Gaussian kernel continuization is extended to other kernels such as uniform, logistic, epanechnikov and adaptive kernels. Several bandwidth selection methods are described. The kernel equating transformation and variants of it are defined, and both equating-specific and statistical measures for evaluating equating transformations are included. Real data examples, guiding readers through the GKE steps with detailed R code and explanations are provided. Readers are equipped with an advanced knowledge and practical skills for implementing test score equating methods.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. This book compiles and expands on selected and peer reviewed presentations given at the 83rd Annual International Meeting of the Psychometric Society (IMPS), organized by Columbia University and held in New York, USA July 9th to 13th, 2018.

The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. The last couple of years it has attracted more than 500 participants and more than 250 paper presentations from researchers around the world.

Leading experts in the world and promising young researchers have written the 38 chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 7th in a series of recent volumes to cover research presented at the IMPS.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer reviewed presentations given at the 84th Annual International Meeting of the Psychometric Society (IMPS), organized by Pontificia Universidad Católica de Chile and held in Santiago, Chile during July 15th to 19th, 2019.

The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations.

Leading experts and promising young researchers have written the included chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 8th in a series of recent volumes to cover research presented at the IMPS.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020.

The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations.

Leading experts and promising young researchers have written the included chapters. The chapters address a wide variety of topics including but not limited to item response theory, adaptive testing, Bayesian estimation, propensity scores, and cognitive diagnostic models. This volume is the 9th in a series of recent works to cover research presented at the IMPS.

The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July 19–23, 2021. About 500 individuals contributed paper presentations, symposiums, poster presentations, pre-conference workshops, keynote presentations, and invited presentations. Since the 77th meeting, Springer has published the conference proceedings volume from this annual meeting to allow presenters to share their work and ideas with the wider research community, while still undergoing a thorough review process. This proceedings covers a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, longitudinal measures, and cognitive diagnostic models.

The volume represents presentations given at the 87th annual meeting of the Psychometric Society, held in Bologna, Italy at July 11–15, 2022.  The proceedings cover a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, latent variable models, causal inference, and cognitive diagnostic models.

This book includes presentations given at the 88th annual meeting of the Psychometric Society, held in Maryland, USA on July 24–28, 2023.

The proceeding covers a diverse set of psychometric topics. The topics include, but are not limited to item response theory, cognitive diagnostic models, Bayesian estimation, validity and reliability issues, and several applications within different fields. The authors are from all over the world, they work in different psychometrics areas, as well as having diverse professional and academic experiences.