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   confirmatory 在 心理学 分类中 的翻译结果: 查询用时:0.203秒
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confirmatory
相关语句
  验证性
    All the indexes of confirmatory analysis including χ~2, RMSEA, NFI, NNFI, CFI met the requirements of psychological assessment.
    结果:FMPS中文版父母期望因子在二阶因子分析时被删除,验证性因素分析指标χ2、RMSEA、NFI、NNFI、CFI分别为2722.26(P=0.000)、0.074、0.86、0.87、0.88。
短句来源
    The confirmatory fator analysis showed that the fit indexes for χ~2/df=3.622,GFI=0.92,AGFI=0.91,NFI=0.89,NNFI=0.90,RMSEA=0.069,CFI=0.90,IFI=0.90.Striving for high goals had no significant correlations with SCL-90、SDS、SAS and SWLS,but with SES (r=0.241,P<0.01).
    验证性因素分析显示拟合指数χ2/df=3.622,GFI=0.92,AGFI=0.91,NFI=0.87,NNFI=0.90,RMSEA=0.069,CFI=0.90,IFI=0.90。 追求高标准与SCL-90、SDS、SAS和SWLS等效标不相关,与SES的相关为0.241(P<0.01);
短句来源
    METHODS: Based on 1535 military samples and 3389 student samples, we worked out the item-total correlation, Cronbach's Alpha correlation coefficient, and Guttman Split-half coefficient of the 16 factors, and the parameters of CFA (Confirmatory Factor Analysis) of the second-order personality factors.
    方法:对1535名军人和3389名学生16PF样本,计算16个根源特质的题总相关、科龙巴赫系数、Guttman分半系数,以及对次元人格因素的验证性因素分析(CFA)参数.
短句来源
    Results:The discriminated index were 0.301~0.482 and the α coefficients was 0.756~0.890.A three factor model has been shown by exploratory factor analysis based on the first sample and demonstrated by confirmatory factor analysis on the second sample.
    结果:项目的鉴别度指数在0.301~0.482之间,同质信度系数在0.756~0.890之间,第一个样本(n=266)进行探索性因素分析显示16个项目负荷三个主要因素,第二个样本(n=307)做验证性因素分析,显示符合三因素模型。
短句来源
    Confirmatory fator analysis showed that the fit indexes for χ2/df,GFI,AGFI,NFI,NNFI,RMSEA,CFI,IFI were 2.32,0.91,0.88,0.84,0.88,0.06,0.90,0.90.Conclusion:Psychometric properties analysis shows that the scale achieves from good to exellent levels of internal consistency,test-retest rliability and content,construct and criteria-related validity.
    验证性因素分析显示拟合指数χ2/df,GFI,AGFI,NFI,NNFI,RMSEA,CFI,IFI分别为2.32,0.91,0.88,0.84,0.88,0.06,0.90,0.90。 结论:该量表的信效度都达到了测量学的要求。
短句来源
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  “confirmatory”译为未确定词的双语例句
    CONFIRMATORY FACTOR ANALYSES: NUMBER OF ITEMS IN QUESTIONNAIRES AND SMALL SAMPLE APPLICATION STRATEGIES
    验证性因素分析:问卷题数及小样本应用策略
短句来源
    CONFIRMATORY FACTOR ANALYSIS AND NORMS COMPARISON OF SCL-90 IN MIDDLE SCHOOL STUDENTS
    中学生SCL-90评定结果分析及其常模的建立
短句来源
    In the first one,IAT was employed to measure implicit self-esteem and the confirmatory factor analysis was carried out to explore the structure of implicit self-esteem and explicit self-esteem. The result showed:(1).
    实验1运用内隐联想测验对内隐自尊进行了研究和测量,同时还运用实证性因素分析对外显自尊和内隐自尊的关系结构进行了研究,证实了:在内隐联想测验中,内隐自尊效应显著,运用内隐联想测验测量内隐自尊是成功、可行的;
短句来源
    Confirmatory Factor Analysis and Cluster Analysis were conducted using AMOS and SPSS in attempt to testify the temperament structure and types of Chinese children.
    2.我国儿童气质结构可以用五维度相关模型进行表征:情绪性、活动性、反应性、社会抑制和专注性五个维度构成儿童气质的内在结构,而五个维度存在相关关系。
短句来源
    Then, confirmed and mod-ified with the assistance of confirmatory factor analysis to solidify the construct validity of questionnaire, we ended up with the Children’s self-esteem confirmatory model consi-sting of 22 items in the questionnaire.
    在初始模型与修正模型的基础上,最终确立了由22题组成的儿童自尊验证模型。
短句来源
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  confirmatory
At present, the HIV/AIDS testing laboratories includes three classes, the National AIDS Reference Laboratory, HIV/AIDS confirmatory laboratories and HIV/AIDS screening laboratories.
      
In Part 2 of the paper we shall present tests of hypotheses about the structure of social relationships, using confirmatory factor analysis.
      
The present paper uses confirmatory factor analysis to test this hypothesis and examine measurement reliability.
      
A confirmatory factor analysis of the Malaise scores of 200 mothers of severely mentally handicapped children finds that the Malaise Inventory yields a single moderate factor of stress.
      
Confirmatory factor analysis, modelled on studies by Garner et al.
      
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Structural equation modelling (SEM) is a new kind of statistical technology and research method, which is applicated more and more in the fieldof psychology and social science in recent years. This article introduces theresources, development, basic concepts, analytic procedure, and correspondingcomputer statistical package LISREL based on nonmathematical language.Theauthor considers that SEM has four types of advantages: a. Introduction oflatent variables makes the research more profound; b. Confirmatory...

Structural equation modelling (SEM) is a new kind of statistical technology and research method, which is applicated more and more in the fieldof psychology and social science in recent years. This article introduces theresources, development, basic concepts, analytic procedure, and correspondingcomputer statistical package LISREL based on nonmathematical language.Theauthor considers that SEM has four types of advantages: a. Introduction oflatent variables makes the research more profound; b. Confirmatory analysisfollowing common linear models makes the research more meaningful; c. Com-plex relationships within multivariates are treated appropriately; d. Structu-ral equation models are characterized by invariation in model parameters.Therefore Chinese psychologists should pay attention to SEM.

结构方程建模(SEM)是一种新的统计方法和研究思路,近年来在心理学和社会科学领域的应用日益增多。本文在非数学化的基础上,结合心理学研究实例介绍了SEM的渊源、发展、基本概念、分析过程以及相应的计算机统计软件LI-SREL。本文认为SEM有四大优点:①引进潜变量使研究更为深入,②遵循一般线性模式进行验证型分析,使研究更有意义,③妥善处理多变量间的复杂关系,④模型具有参数不变性。SEM应该引起国内心理学界的重视。

Confirmatory factor analysis (CFA) has been widely used in psychological andeducational research. By summarizing and referring to results of three simulationstudies, the present paper discussed strategies panicularly relevant to small samplestudies. Specifically, it was suggested that more items should be used and factorloadings can be restrained to be equal within the same factor. Generally, larger sampleis more desirable, but when resource is limited, the above two strategies may solvenon-convergence...

Confirmatory factor analysis (CFA) has been widely used in psychological andeducational research. By summarizing and referring to results of three simulationstudies, the present paper discussed strategies panicularly relevant to small samplestudies. Specifically, it was suggested that more items should be used and factorloadings can be restrained to be equal within the same factor. Generally, larger sampleis more desirable, but when resource is limited, the above two strategies may solvenon-convergence problems and increase the estimation accuracy of important parameters.Furthemore, the use of two indicators within a factor, the use of less than fourindicators when sample size is only about 100, and the combination of items intoparcels and using their averages as indicators are not recommended because they maylead to non--convergence, large standard error and biased parameter estimation.

验证性因素分析在心理、教育等研究应用日广。本文引用三个模拟数据研究,提出一些在分析时的应用策略,包括用较多题目及强制同一因子的负荷相等。样本容量一般愈大愈好,但当资源等条件有限制时,上述两个技巧,可协助解决叠代收敛问题,并能更准确估计各重要参数。此外,一些方法如:每因子只得两题目、当样本只得约100人时每因子用少於四题目、将题目合并以其平均数为指标,均可能导致不收敛、高标准误及偏差估计量等问题,不值得推荐。

Based on the jealous studies as found internationally in treatises and books in the psychological field in 1981-1998 , this is a categorizational research in theory and confirmatory practice on present-day jealous studies. The research aims at setting forth the present state, special features and developing trends of jealous studies.

根据 1 981— 1 998年国际心理学领域关于嫉妒研究的论著 ,从理论和实证角度对当代嫉妒研究成果进行分类研究 ,旨在阐明国际嫉妒研究的现状 ,分析和概括其研究特点和发展趋势。

 
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