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161.
162.
小学生数学应用题解题水平影响因素的研究——视空间能力、认知方式及表征方式的影响 总被引:4,自引:0,他引:4
研究采用3(年级)×2(场认知方式)×2(视空间能力水平)×3(问题表征方式)四因素混合实验设计,探讨了这四种因素对小学生数学应用题解题水平的影响。结果表明:年级、认知方式、空间能力以及问题表征方式均是影响小学生应用题解决水平的关键因素;问题表征方式、认知方式、空间能力以及年级四个因素对小学生解题水平存在交互作用,其中图形提示有利于场依存性学生解题水平的提高,低空间-场依存型的学生更适合图形提示;高空间-场依存型的学生随年级升高解题能力发展较快,而低空间-场依存型的学生解题水平提高较慢;随着年级的升高,图式表征对小学生问题解决的促进作用增强。 相似文献
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Zhang Yanni Akhtar Naveed Farooq Qamar Yuan Yiwei Khan Irfan Ullah 《Journal of psycholinguistic research》2022,51(3):455-472
Journal of Psycholinguistic Research - Critical discourse analysis aims to explore the dialectical relationship between discourse and ideology. Based on psycholinguistic research, this paper... 相似文献
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Purpose This research conceptualizes and tests an integrative model of customer loyalty by linking two important theories: expectation–confirmation
theory and self-determination theory.
Design/Methodology/Approach The model is examined using data obtained from 207 part-time students who have encountered the service of a skincare and beauty
salon in Taiwan. These students work as full-time professionals in a variety of industries during the daytime and are financially
independent for their daily consumption.
Findings The empirical results of this study indicate that loyalty is positively influenced by both intrinsic regulation and identified
regulation, while introjected regulation and external regulation are insignificantly related to loyalty. Affected positively
by service expectation and service confirmation, satisfaction has positive influences on all four dimensions of self-determined
motivation—namely, intrinsic regulation, identified regulation, introjected regulation, and external regulation.
Implications The findings of this study show that the proposed model helps to learn about loyalty formation and its mediating mechanism
in service contexts. Intrinsic regulation and identified regulation may be applied as two potential checkpoints for management
to learn the actual status of customer loyalty based on a constant service quality offered by the service provider.
Originality/Value This study is one of the earliest to integrate expectation–confirmation theory and self-determination theory to explore loyalty.
Besides, this study transplants the traditional application of self-determination theory from educational service to commercial
service in general so that efficient strategies can be made for boosting loyalty. 相似文献
168.
利多卡因凝胶在手术室麻醉诱导后留置尿管中的应用 总被引:2,自引:0,他引:2
分析手术室麻醉诱导后留置尿管产生尿路疼痛等不良反应的原因,探讨利多卡因凝胶在克服上述反应方面的作用及其他预防措施。采用方便取样将70例留置尿管的患者分为试验组和对照组,麻醉诱导后试验组在尿管上涂抹利多卡因凝胶(0.5ml/cm)后再按常规操作插管;对照组以石蜡油为润滑剂按常规操作留置尿管。比较两组患者心率、血压情况及躁动、疼痛评分。结果提示麻醉诱导后留置尿管可以有效减轻患者清醒状态下置管引起的尿路疼痛等问题,但不能避免患者苏醒期出现上述反应;使用利多卡因凝胶可有效预防患者苏醒期出现的尿路疼痛及其它不良反应,增加患者的舒适度。 相似文献
169.
<管子·内业>蕴涵有重要的哲学思想,在继承前人成果的基础上,丰富和发展了道的思想和内涵,体现为使道的思想具有形象化的特征.具体为:首先,道之气化:生生不息、大化流行.其次,道之体悟:存于心、践于行.最后,道之秩序:和谐生福. 相似文献
170.
Ke-Hai Yuan 《Psychometrika》2009,74(2):233-256
When data are not missing at random (NMAR), maximum likelihood (ML) procedure will not generate consistent parameter estimates
unless the missing data mechanism is correctly modeled. Understanding NMAR mechanism in a data set would allow one to better
use the ML methodology. A survey or questionnaire may contain many items; certain items may be responsible for NMAR values
in other items. The paper develops statistical procedures to identify the responsible items. By comparing ML estimates (MLE),
statistics are developed to test whether the MLEs are changed when excluding items. The items that cause a significant change
of the MLEs are responsible for the NMAR mechanism. Normal distribution is used for obtaining the MLEs; a sandwich-type covariance
matrix is used to account for distribution violations. The class of nonnormal distributions within which the procedure is
valid is provided. Both saturated and structural models are considered. Effect sizes are also defined and studied. The results
indicate that more missing data in a sample does not necessarily imply more significant test statistics due to smaller effect
sizes. Knowing the true population means and covariances or the parameter values in structural equation models may not make
things easier either.
The research was supported by NSF grant DMS04-37167, the James McKeen Cattell Fund. 相似文献