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|本期目录/Table of Contents|

 中文版无手机恐惧量表的修订(PDF)

《心理学探新》[ISSN:1003-5184/CN:36-1228/B]

期数:
 2020年03期
页码:
 247-253
栏目:
 心理统计与测量
出版日期:
 2020-06-25

文章信息/Info

Title:
 Revisement of Nomophobia Scale for Chinese
文章编号:
1003-5184(2020)03-0247-07
作者:
 任世秀1; 2; 3; 古丽给娜4; 刘 拓1; 2; 3
 (1.教育部人文社会科学重点研究基地天津师范大学心理与行为研究院,天津300074; 2.天津师范大学心理学部,天津 300074; 3.国民心理健康评估与促进协同创新中心,天津 300387; 4.华中师范大学心理学院,武汉 430079)
Author(s):
 Ren Shixiu1; 2; 3; Guli Geina4; Liu Tuo1; 2; 3
 (1.Key Research Base of Humanities and Social Sciences of the Ministry of Education,Academy of Psychology and Behavior,Tianjin Normal University,Tianjin 300074; 2.Faculty of Psychology, Tianjin Normal University,Tianjin 300074; 3.Center of Collaborative Innovation for Assessment and Promotion of Mental Health,Tianjin Normal University,Tianjin 300387; 4.School of Psychology, Central China Normal University of Hubei Province,Wuhan 430079)
关键词:
 无手机恐惧;  项目反应理论;  探索性结构方程模型;  手机成瘾
Keywords:
 generalizability theory;  budget constrain;  estimating the best sample size;  LaGrange multiplier method;  psychological evaluation
分类号:
 B841.2
DOI:
 -
文献标识码:
 A
摘要:
 该研究以国外学者Caglar Yildirim和Ana-Paula Correia于2015年编制的Nomophobia量表为基础,修订出了适用于国内的中文版无手机恐惧量表。研究首先使用探索性结构方程模型对量表结构进行初探; 其次使用项目反应模型进行项目分析并根据其分析结果对项目进行修改和筛选,最终形成正式版量表; 最后对正式版量表其进行信效度检验,并再次对量表题目进行项目分析。最终量表共16道题目,包括害怕无法获得信息、害怕失去便利、害怕失去联系和害怕失去网络连接4个维度; 总量表的Cronbach α系数为0.931,四维度的α系数分别为:0.789,0.816,0.887和0.896。CFA验证性结果显示量表结构较好(χ2/df=3.91,RMSEA=0.067,TLI=0.941,CFI=0.952,SRMR=0.04); 使用手机成瘾倾向量表作为校标的结果显示二者之间相关为0.626,效度良好。最终量表项目区分度在[1.734,4.806]之间,四维度区分度均值为2.1765,2.72,3.2925和3.883,项目难度参数在[-1.830,4.806]之间。综上结果显示该研究编制的无手机恐惧量表各项指标均达到了心理测量学要求,可供后续研究使用
Abstract:
 Generalization theory is widely used in various psychological evaluation practices.Budget and cost are the problems that cannot be neglected in the research of measurement.When there is a budget constraint,the generalization theory needs to consider how to design a measurement program with relatively high reliability and feasibility,which requires the optimal sample size to be estimated by some means.Lagrange multiplication is a more mature method for estimating the optimal sample size under the budget constraints in generalization theory.Some influencing factors of optimal sample size estimation under the budget constraints in generalization theory,such as the influence of total budget rounding,are discussed,and some follow-up solutions are also proposed,such as deducing the unified formula of Lagrange multiplication

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备注/Memo

备注/Memo:
 基金项目:教育部人文社会科学青年基金(18YJC190013)。 通讯作者:刘拓,E-mail:mikebonita@163.com。
更新日期/Last Update:  2020-06-30