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مدلسازی خطی سلسله مراتبی
Following initial support using regression, we conducted analyses using hierarchical linear modeling (HLM; Rau- denbush and Bryk 2002) to account for the interdepen- dence that arises when a single participant reports on perceptions of six different spaces.
HLM is considered the best way to control for extraneous variance in repeated- measures designs (Shin et al. 2004).
In addition, recog- nizing that spaces differ in how need supportive they are (see Fig. 1), HLM allows us to account for variability between these factors observed for both spaces (level 1) and people (level 2), whereas OLS regression only tests for the latter.
(2003) for lower level mediations in HLM.
Finally, we conducted mediation analyses in HLM using recommendation by Kenny et al
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