In order to explore the present situation and problems of using hierarchical linear modeling in psychological researches in china, this article reviewed and analyzed 50 literatures of China psychological journals from 2002 to 2011 included in CNKI database. A checklist, derived from the methodological literature on hierarchical linear modeling and focusing on the issues of model development and specification, data preparation, estimation method and hypothesis testing, was used to analyze those 50 articles using hierarchical linear modeling in psychological researches in china. The results of sample description are as follows: (1) HLM method has been widely used in our psychological researches, for example, Management, development and education psychology. (2) The most common applications were two-level models where individuals were nested within contexts. In addition, it deserve to be mentioned that the sample size of level 2 is significant larger than the sample size of level 1. Although HLM method in our psychological researches has been widely used, there are a number of problems in its application: (1) In model development and specification, one could not determine how many models were estimated in five articles, what type of centering if any was used in most of the articles, Whether the null model was tested in half articles. (2) In data preparation, no article reports the test whether the data were consistent with assumptions, for example, distributional assumptions; no article implements the prior power analysis; In many articles, one could not determine whether the data were complete, if they were not complete, the treatment method of missing value has not been described. (3) In estimation method and hypothesis testing, except six articles, one could not determine how the models were estimated; many articles have not report enough information for a reader to critique the reported analyses, for example, standard errors for the parameters of interest and proportion of explained variance. Four guidelines for researchers reporting hierarchical linear analyses are provided.