# Replication of White et al. 2018

Authors: Aaron Steven White and Kyle Rawlins

Contact: aaron.white@rochester.edu, kgr@jhu.edu

Version: 1.0

Release date: 21 Jan 2020

## Overview

This dataset consists of ordinal acceptability judgments for 30 clause-embedding verbs of English in 38 surface-syntactic frames; this is a replication of an experiment from an experiment in an earlier paper, adapting to the method in the paper linked below. The data were collected on Amazon’s Mechanical Turk using Turktools.

For a detailed description of the dataset and the item construction and collection methods, please see Section 3 of the following paper:

White, A.S. & K. Rawlins. 2020. Frequency, acceptability, and selection: A case study of clause-embedding. Conditionally accepted to Glossa.

If you make use of this dataset in a presentation or publication, we ask that you please cite this paper.

## Version history

1.0: first public release, 21 Jan 2020

## Description

Column Description Values
participant anonymized integer identifier for participant that provided the response 0…114
list integer identifier for list participant was responding to 0…22
presentationorder relative position of item in list 1…60
verb clause-embedding verb found in the item see paper
frame clausal complement found in the item see paper
response ordinal scale acceptability response 1…7
nativeenglish whether the participant reported speaking American English natively True, False
sentence sentence that was judged see paper