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关注：1
2013-05-23 12:21
求翻译：While HLM-based repeated measures and FIML are thus relatively robust to randomly distributed missing data, the questions arises as to whether the data in this study were randomly missing. While there was some loss of participants as a result of relocation, retirement, and other obligations, a majority of the participa是什么意思？ 待解决
 悬赏分：1
- 离问题结束还有
While HLM-based repeated measures and FIML are thus relatively robust to randomly distributed missing data, the questions arises as to whether the data in this study were randomly missing. While there was some loss of participants as a result of relocation, retirement, and other obligations, a majority of the participa
问题补充： |
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2013-05-23 12:21:38
虽然基于高级别会议，反复的措施和FIML因此相对强劲的随机分布的缺失数据，问题出现在这项研究中的数据是否是随机失踪。虽然有一些与会者搬迁，退休及其他义务的损失，多数与会者呆在一起的方案，一旦他们招收的研究期间。新的参与者，填补现有的插槽和这些教师绝大多数还留程序的长度。丢失数据的问题，大部分是因为不回答在所有5个时间点的自我效能调查的参与者。虽然每个时间点的反应率是相当高的，不同的参与者在不同时间点的调查没有回答。这项调查是完全自愿的，这是可以预料的。因此，我们没有理由相信有任何丢失的数据模式
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2013-05-23 12:23:18
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2013-05-23 12:24:58
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2013-05-23 12:26:38
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2013-05-23 12:28:18
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