@article {753,
	title = {A BIOENERGY COMPETENCY ASSESSMENT TOOL: DEVELOPMENT AND VALIDATION},
	journal = {Journal of Baltic Science Education},
	volume = {18},
	year = {2019},
	month = {April/2019},
	pages = {Continuous},
	type = {Original article},
	chapter = {264-275},
	abstract = {This research is motivated by the perspective that when empirical studies and assessment frameworks inform each other, assessments can enrich science education and strengthen its connections to modern science. The research proposes a bioenergy competency assessment for science education. It uses an argument-based approach to validation. Multiple types of validity evidence were collected to support the proposed scores use and scores interpretation. Along with reporting a series of psychometric properties of response data, the findings indicated that empirical response data corresponded to the hypothesized data structure. The latent logistic scale estabished through a generalized partial credit model (GPCM) seemed useful in measuring students{\textquoteright} bioenergy competency.},
	keywords = {competency assessment, item response theory, K-12 education, validity evidence},
	issn = {1648-3898},
	doi = {https://doi.org/10.33225/jbse/19.18.264},
	url = {http://oaji.net/articles/2019/987-1554359811.pdf},
	author = {Tingxuan Li and Kari L. Clase and Weiling Li and Anne Traynor}
}
@article {749,
	title = {ITEM DIMENSIONALITY EXPLORATION BY MEANS OF CONSTRUCT MAP AND CATEGORICAL PRINCIPAL COMPONENTS ANALYSIS},
	journal = {Journal of Baltic Science Education},
	volume = {18},
	year = {2019},
	month = {April/2019},
	pages = {Continuous},
	type = {Original article},
	chapter = {209-226},
	abstract = {The aim of this research is to study the merits and complementarity of Construct Mapping and Categorical Principal Components Analysis as two approaches that explore the dimensionality of multiple-choice items in achievement tests. Data from the two forms of the Romanian National Assessment Tests on Science were used to explore the dimensionality of items and to identify potentially problematic items that affect the equivalence of the two parallel forms. The findings confirm that the two tests have at best partial equivalence, but while the two methods both agree on test unidimensionality, they flag in part different items as potentially problematic. The results enable researchers and practitioners to make coherent data-driven decision regarding the use of unidimensional vs multidimensional IRT models.},
	keywords = {categorical principal components analysis, construct map, item response theory, unidimensionality},
	issn = {1648-3898},
	doi = {https://doi.org/10.33225/jbse/19.18.209},
	url = {http://oaji.net/articles/2019/987-1554359543.pdf},
	author = {Gabriela Deliu and Cristina Miron and Cristian Opariuc-Dan}
}
