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社会学

中国高龄学习者的成功老化

作者：吕文娟著

出版社：浙江大学出版社出版时间：2016-11-01

开本： 24cm 页数： 142

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版权信息
内容简介
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中国高龄学习者的成功老化版权信息

ISBN：9787308161626
条形码：9787308161626 ; 978-7-308-16162-6
装帧：一般胶版纸
册数：暂无
重量：暂无
所属分类：
社会科学
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社会学

中国高龄学习者的成功老化内容简介

吕文娟编著的《中国高龄学习者的成功老化(英文版)》将立足国内，从我国高龄学习者的视角探讨“成功老化”理念，具体围绕以下几个问题展开：1、中国高龄学习者如何定义“成功老化”？与西方有何差异？2、中国高龄学习者如何界定“成功老化”与“高龄教育”之间的关系？3、为了达到成功老化，中国高龄学习者的学习需求是什么？

中国高龄学习者的成功老化目录

Acknowledgements
Preface
Chapter 1 Introduction
1.1 Research background
1.2 Statement of the problem
1.3 Research questions
1.4 Definition of terms
1.5 Limitations
Chapter 2 Literature Review
2.1 Aging and older adult education
2.1.1 Understanding of aging
2.1.2 Older adults as learners
2.2 Older adult education in China
2.2.1 Theoretical research of older adult education in China
2.2.2 Development of older adult education in Shanghai ...
2.3 Successful aging and learning in later life
2.3.1 Successful aging models
2.3.2 Successful aging predictors
2.3.3 Older adults' perceptions of successful aging
2.3.4 Successful aging through learning participation
Chapter 3 Methodology
3.1 Design of the study
3.2 Research instrument
3.2.1 Validity and reliability of the questionnaire
3.2.2 Factor analysis of the questionnaire
3.3 Sampling procedure
3.3.1 Defining target and accessible population
3.3.2 Defining sampling area
3.3.3 Eligibility of samples and sampling size
3.4 Data-analysis procedure
Chapter 4 Findings and Discussion
4.1 Socio-demographic characteristics of the participants
4.2 Learning participation level
4.3 Chinese older adults' perceptions of successful aging
4.4 Chinese older adults' opinions on learning and successful aging -.
4.5 Chinese older adults' learning needs for successful aging
4.6 Differences revealed in the participants' socio-demog-raphic characteristics
4.6.1 Inferential analysis of gender based on PSA, RPSA,and LNSA scales
4.6.2 Inferential analysis of age based on PSA, RPSA, and LNSA scales
4.6.3 Inferential analysis of educational background based on PSA, RPSA, and LNSA scales
4.6.4 Inferential analysis of marital status based on PSA,RPSA, and LNSA scales
4.6.5 Inferential analysis of living status based on PSA,RPSA, and LNSA scales
4.6.6 Inferential analysis of health condition based on PSA, RPSA, and LNSA scales
4.6.7 Inferential analysis of monthly income based on PSA, RPSA, and LNSA scales
Chapter 5 Conclusion
5.1 Summary and conclusion
5.2 Recommendations for future research
References
Appendix A
Appendix B

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