Do Linguistic Features Influence Item Difficulty in Physics Assessments?

Dietmar Höttecke; Markus Sebastian Feser; Lena Heine; Timo Ehmke

doi:10.18452/19188

Do Linguistic Features Influence Item Difficulty in Physics Assessments?

Dietmar Höttecke
, Markus Sebastian Feser
, Lena Heine
, Timo Ehmke

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › Begutachtung

Abstract

This paper addresses the question if and to which extent linguistic surface features of test items in a physics assessment affect item difficulty. In an experimental study, linguistic features of test items in physics were varied systematically on three levels based on a heuristic model of linguistic demands. The results show that item difficulty can be predicted by linguistic features, but only for a limited number of items and not in a consistent way.

Originalsprache	Englisch
Zeitschrift	Science Education Review Letters
Jahrgang	2018
Seiten (von - bis)	1-6
Seitenumfang	6
ISSN	2566-9087
DOIs	https://doi.org/10.18452/19188
Publikationsstatus	Erschienen - 2018

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Wirkung und Interaktion sprachlicher und fachlicher Anforderungen bei schulischen Leistungsaufgaben
Ehmke, T. (Wissenschaftliche Projektleiter*in), Leiss, D. (Wissenschaftliche Projektleiter*in), Dammann, L. (Projektmitarbeiter*in), Knabbe, A. (Projektmitarbeiter*in), Wienecke, L.-M. (Projektmitarbeiter*in), Höttecke, D. (Wissenschaftliche Projektleiter*in), Schwippert, K. (Wissenschaftliche Projektleiter*in) & Heine, L. (Wissenschaftliche Projektleiter*in)
Deutsche Forschungsgemeinschaft
01.02.19 → 31.08.23
Projekt: Forschung

Dieses zitieren

@article{54e5b8ffd697412f8b0483c1a060db5a,

title = "Do Linguistic Features Influence Item Difficulty in Physics Assessments?",

abstract = "This paper addresses the question if and to which extent linguistic surface features of test items in a physics assessment affect item difficulty. In an experimental study, linguistic features of test items in physics were varied systematically on three levels based on a heuristic model of linguistic demands. The results show that item difficulty can be predicted by linguistic features, but only for a limited number of items and not in a consistent way.",

keywords = "Empirical education research",

author = "Dietmar H{\"o}ttecke and Feser, \{Markus Sebastian\} and Lena Heine and Timo Ehmke",

year = "2018",

doi = "10.18452/19188",

language = "English",

volume = "2018",

pages = "1--6",

journal = "Science Education Review Letters",