Article published In: The Mental Lexicon
Vol. 14:3 (2019) ► pp.399–414
Methodological and analytic considerations
Clozapp
A Java application for collecting and recording Cloze probability norms
Published online: 13 May 2020
https://doi.org/10.1075/ml.20004.nis
https://doi.org/10.1075/ml.20004.nis
Abstract
This paper introduces a freely available and easy to use Java application for the collection and recording of
Cloze probability ratings. Clozapp presents participants with text fragments of the researchers’ choice and collects guesses
regarding upcoming words. It can also collect basic demographic information about participants. Available modes of data collection
include elicitation of responses to a limited number of omitted words in a text or to all words in a text. Clozeapp can be
customized to present instructions and experimental stimuli in any given language and to collect multiple types of demographic
data. This paper presents the application by detailing the states and actions available, as well as descriptions of how to
customize the app to fit different experimental needs including possible input and output details. The application manual is
provided. As a proof of concept, we used Clozapp to conduct a replication study of two existing collections of Cloze probability
norms. The Clozapp norms showed strong reliable correlations (r > 0.7) with both existing data sets,
suggesting a high convergence between modes of data collection. The application provides an efficient and customizable way of
collecting predictability norms for language research.
Keywords: Cloze probability, software application, manual, predictability
Article outline
- Background
- Clozapp overview
- Starting the application
- Experiment markup files
- Instructions and demographics
- User functionality
- Saving / Output file
- Experiment
- Method
- Participants
- Materials & design
- Procedure
- Variables
- Results and discussion
- Method
- Limitations & future directions
- Availability
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