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How to do online experiments: An example of an online experiment with crowdsourcing service 如何进行在线实验:以众包服务为例进行在线实验
Q4 Social Sciences Pub Date : 2020-01-01 DOI: 10.11218/OJJAMS.35.128
Y. Inagaki, Hiroki Takikawa, Shinya Obayashi
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引用次数: 0
Ideological and Behavioral Perspectives on Online Political Polarization: Evidence from Japan 网络政治两极分化的思想与行为视角:来自日本的证据
Q4 Social Sciences Pub Date : 2020-01-01 DOI: 10.11218/OJJAMS.35.170
Zeyu Lyu
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引用次数: 0
Can the signaling game serve as a model of statistical discrimination in hiring 信号游戏可以作为招聘中统计歧视的模型吗
Q4 Social Sciences Pub Date : 2020-01-01 DOI: 10.11218/OJJAMS.35.14
Kunihiro Kimura
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引用次数: 1
An online survey with a large sample-size: A case of the survey for demonstrators after the Great East Japan Earthquake 大样本在线调查:以东日本大地震后对示威者的调查为例
Q4 Social Sciences Pub Date : 2020-01-01 DOI: 10.11218/OJJAMS.35.145
Kikuko Nagayoshi, M. Matsutani, Naoto Higuchi
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引用次数: 1
Life-Is-like-a-Random-Walk Model of Class Identification 生活就像一个随机游走的类识别模型
Q4 Social Sciences Pub Date : 2018-07-18 DOI: 10.11218/OJJAMS.33.261
Atsushi Ishida
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引用次数: 1
Stochastic Actor-oriented Models for Multiplex Conversation-advice Network Dynamics Based on the Self-determination Theory 基于自我决定理论的多元对话建议网络动态随机因子模型
Q4 Social Sciences Pub Date : 2018-01-01 DOI: 10.11218/OJJAMS.33.79
Hideki Fujiyama, K. Fujimoto
This study examines the co-evolution of conversation and advice networks in a Japanese university class, based on the self-determination theory in which autonomy, competence, and relatedness are the three key concepts. The network data were collected during the spring and fall semesters from 2013 to 2016. Stochastic actor-oriented models were used to estimate the dynamics in the two networks. The results are as follows: (1) There was an asymmetric property in the advice ties; (2) One tie of a network created a tie of another type of network at the dyadic level; and (3) For enhancing advice ties, the autonomy effect of conversation tie was effective in the fall semester. The findings of this study offer a new understanding of the dynamics between conversation and advice networks.
本研究以自我决定理论为基础,考察了日本大学课堂中会话和建议网络的共同进化,其中自主性、能力和相关性是三个关键概念。网络数据收集于2013年至2016年的春季和秋季学期。采用随机因子导向模型对两个网络的动态进行估计。结果表明:(1)建议关系存在非对称性;(二)一个网络纽带在二元层次上形成另一个网络纽带的;(3)在加强建议联系方面,会话联系的自主效应在秋季学期是有效的。这项研究的发现为对话和建议网络之间的动态提供了新的理解。
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引用次数: 0
Can We Derive Socioeconomic Benefits from Social Network Sites 我们能从社交网站获得社会经济效益吗
Q4 Social Sciences Pub Date : 2017-01-01 DOI: 10.11218/OJJAMS.32.100
Maoxin Ye
Previous studies have estimated the relationship between social network site (SNS) usage and social capital using Williams’s Internet Social Capital Scales (ISCS). These studies have found that SNS usage is positively associated with social capital. However, ISCS mainly focuses on emotional support, such as helping solve personal problems and making users try new things. Because social capital can also promote socioeconomic support, which can be obtained through SNS usage, the relationship between SNS usage and socioeconomic social capital should be elucidated. In this study, Lin’s definition was utilized to measure the socioeconomic social capital via a position generator. Additionally, previous studies have only used general regression to estimate the association between SNS usage and social capital. However, this could involve crucial problems in estimating. To avoid these problems, propensity score matching was used to estimate the “net effects” of SNS usage on socioeconomic social capital. A dataset (N = 2,255) collected nationwide in the United States was utilized in the analyses. The results suggest that SNSs negatively affect users’ socioeconomic social capital, which means that SNS usage may decrease users’ socioeconomic support and lead to disadvantageous socioeconomic positions. In other words, we may not benefit from SNS usage.
以往的研究使用Williams的互联网社会资本量表(ISCS)来评估社交网站(SNS)使用与社会资本之间的关系。这些研究发现,社交网络的使用与社会资本呈正相关。然而,ISCS主要侧重于情感支持,例如帮助解决个人问题,让用户尝试新事物。由于社会资本也可以促进社会经济支持,而社会经济支持可以通过社交网络的使用获得,因此有必要阐明社交网络使用与社会经济社会资本之间的关系。本研究利用Lin的定义,透过位置生成器来测量社会经济社会资本。此外,以前的研究仅使用一般回归来估计SNS使用与社会资本之间的关系。然而,这可能涉及到估算中的关键问题。为了避免这些问题,我们使用倾向得分匹配来估计社交网络使用对社会经济社会资本的“净效应”。分析中使用了在美国全国范围内收集的数据集(N = 2255)。研究结果表明,社交网络对用户的社会经济资本有负向影响,即社交网络的使用可能会降低用户的社会经济支持,导致用户处于不利的社会经济地位。换句话说,我们可能不会从SNS的使用中获益。
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引用次数: 1
Are Happiness and Unhappiness Two Sides of the Same Coin 快乐和不快乐是同一枚硬币的两面吗
Q4 Social Sciences Pub Date : 2017-01-01 DOI: 10.11218/OJJAMS.32.49
Jun Kobayashi, C. Hommerich
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引用次数: 5
Norm composition of tolerant solidarity 规范构成宽容团结
Q4 Social Sciences Pub Date : 2017-01-01 DOI: 10.11218/OJJAMS.32.257
Kazuto Misumi
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引用次数: 0
Dual-earner Couple Society as a Solution?: 双职工家庭社会是解决方案吗?:
Q4 Social Sciences Pub Date : 2016-01-01 DOI: 10.11218/OJJAMS.31.84
Junya Tsutsui
{"title":"Dual-earner Couple Society as a Solution?:","authors":"Junya Tsutsui","doi":"10.11218/OJJAMS.31.84","DOIUrl":"https://doi.org/10.11218/OJJAMS.31.84","url":null,"abstract":"","PeriodicalId":39496,"journal":{"name":"Sociological Theory and Methods","volume":"123 1","pages":"84-93"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86775768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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