Psychometric Properties of a German Online Version of the Gudjonsson Suggestibility Scale 1

Author:

Hein Fee-Elisabeth,Scheuble Vera,Beauducel André,Leue Anja

Abstract

Suggestibility is a trait dimension that has been differentiated into Yield and Shift dimensions. Yield refers to the susceptibility to suggestive item content in a first question series (Yield 1) and a second question series following negative feedback (Yield 2). Shift describes the tendency to change answers over the two series of questions depending on social pressure. This study aimed at investigating the psychometric properties and the factor structure of a German online version of the Gudjonsson Suggestibility Scale 1 (GSS 1) and measurement invariance of suggestibility scores for gender and research institution. A total of N=560 (n=287 female; age: M=24.20, SD=4.60years) students participated in the study. We present Stanine norms for the application of the online GSS 1. Results supported the theoretical basis of the GSS by revealing the two expected suggestibility factors: Yield and Shift. As expected, a leading factor and a non-leading factor were identified for Yield 1 and Yield 2 and a single factor for Shift. We report psychometric properties (e.g., item difficulty, part-whole corrected item-total correlations, reliability coefficients). We compare the factorial structure of the German online GSS 1 with former versions of the GSS 1. Our data suggest widely measurement invariance for gender and research institution on Yield 1 and Yield 2.

Funder

German Research Foundation

Publisher

Frontiers Media SA

Subject

General Psychology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3