Blar i BI Open på forfatter "Foldnes, Njål"

A PROBLEM WITH DISCRETIZING VALE–MAURELLI IN SIMULATION STUDIES
Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2019)Previous influential simulation studies investigate the effect of underlying nonnormality in ordinal data using the Vale–Maurelli (VM) simulation method. We show that discretized data stemming from the VM method with a ... 
A qualitative investigation of student engagement in a flipped classroom
SteenUtheim, Anna Therese; Foldnes, Njål (Journal article; Peer reviewed, 2018)The flipped classroom is gaining acceptance in higher education as an alternative to more traditional methods of teaching. In the current study, twelve students in a Norwegian higher education institution were indepth ... 
A simple simulation technique for nonnormal data with prespecified skewness, kurtosis, and covariance matrix
Foldnes, Njål; Olsson, Ulf Henning (Journal article; Peer reviewed, 2016)We present and investigate a simple way to generate nonnormal data using linear combinations of independent generator (IG) variables. The simulated data have prespecified univariate skewness and kurtosis, and a given ... 
Approximating Test Statistics Using Eigenvalue Block Averaging
Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2018)We introduce and evaluate a new class of approximations to common test statistics in structural equation modeling. Such test statistics asymptotically follow the distribution of a weighted sum of i.i.d. chisquare variates, ... 
Covariance Model Simulation Using Regular Vines
Grønneberg, Steffen; Foldnes, Njål (Journal article; Peer reviewed, 2017)We propose a new and flexible simulation method for nonnormal data with userspecified marginal distributions, covariance matrix and certain bivariate dependencies. The VITA (VIne To Anything) method is based on regular ... 
Developmental Dynamics of Early Reading Skill, Literacy Interest and Reader SelfConcept Within the First Year of Formal Schooling
Walgermo, Bente R.; Foldnes, Njål; Uppstad, Per Henning; Solheim, Oddny Judith (Journal article; Peer reviewed, 2018)Previous studies have documented robust relationships between emergent literacy and later reading performance. A growing body of research has also reported associations between motivational factors and reading in early ... 
How general is the ValeMaurelli simulation approach?
Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2015)The ValeMaurelli (VM) approach to generating nonnormal mul tivariate data involves the use of Fleishman polynomials applied to an underly ing Gaussian random vector. This method has been extensively used in Monte Carlo ... 
Pernicious Polychorics: The Impact and Detection of Underlying Nonnormality
Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2019)Ordinal data in social science statistics are often modeled as discretizations of a multivariate normal vector. In contrast to the continuous case, where SEM estimation is also consistent under nonnormality, violation of ... 
Residuals and the residualbased statistic for testing goodness of fit of structural equation models
Foldnes, Njål; Foss, Tron; Olsson, Ulf Henning (Journal article; Peer reviewed, 2012)The residuals obtained from tting a structural equation model are crucial ingredients in obtaining chisquare goodnessof t statistics for the model. We present a didactic discussion of the residuals, obtaining ... 
Testing Model Fit by Bootstrap Selection
Grønneberg, Steffen; Foldnes, Njål (Journal article; Peer reviewed, 2018)Over the last few decades, many robust statistics have been proposed in order to assess the fit of structural equation models. To date, however, no clear recommendations have emerged as to which test statistic performs ... 
The asymptotic covariance matrix and its use in simulation studies
Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2017)The asymptotic performance of structural equation modeling tests and standard errors are influenced by two factors: the model and the asymptotic covariance matrix Γ of the sample covariances. Although most simulation studies ... 
The choice of normaltheory weight matrix when computing robust standard errors in confirmatory factor analysis
Foldnes, Njål; Olsson, Ulf H. (Journal article; Peer reviewed, 2019)Robust standard errors are of central importance in confirmatory factor models. In calculating these statistics a central ingredient is the inverse of the asymptotic covariance matrix of secondorder moments calculated ... 
The choice of product indicators in latent variable interaction models: post hoc analyses
Foldnes, Njål; Hagtvet, Knut Arne (Journal article; Peer reviewed, 2014)The unconstrained product indicator (PI) approach is a simple and popular approach for modeling nonlinear effects among latent variables. This approach leaves the practitioner to choose the PIs to be included in the model, ... 
The flipped classroom and cooperative learning: Evidence from a randomised experiment
Foldnes, Njål (Journal article; Peer reviewed, 2016)This article describes a study which compares the effectiveness of the flipped classroom relative to the traditional lecturebased classroom.We investigated two implementations of the flipped classroom. The first implementation ... 
The impact of class attendance on student learning in a flipped classroom
Foldnes, Njål (Journal article; Peer reviewed, 2017)We investigate the relationship between class attendance and academic achievement in a flipped classroom that was designed to foster social learning in fixed groups. Controlling for initial mathematical skill and attitudes, ...