HLM 7 for Windows 多層次模式分析軟體
HLM 7 for Windows是一套群昱公司代理的多層次模式分析軟體，HLM提供的模型包括2level models、3level models、Hierarchical Generalized Linear Models (HGLM)和Hierarchical Multivariate Linear Models (HMLM)等。HLM所發展的階層模型(Hierarchical Linear and Nonlinear Modeling)軟體，包含線性和非線性部分，HLM可以讀取大部份統計軟體的檔案如 SPSS, SAS, SYSTAT及STATA等等。HLM常用於社會科學和行為科學，因為它常有巢狀結構(Nested Structure)的資料，因此需用次模型(SubModel)或階層模型(Hierarchical Model)，HLM就是設計來專門解決此類問題的。
分類: 統計分析軟體
In social research and other fields, research data often have a hierarchical structure. That is, the individual subjects of study may be classified or arranged in groups which themselves have qualities that influence the study. In this case, the individuals can be seen as level1 units of study, and the groups into which they are arranged are level2 units. This may be extended further, with level2 units organized into yet another set of units at a third level and with level3 units organized into another set of units at a fourth level. Examples of this abound in areas such as education (students at level 1, teachers at level 2, schools at level 3, and school districts at level 4) and sociology (individuals at level 1, neighborhoods at level 2). It is clear that the analysis of such data requires specialized software. Hierarchical linear and nonlinear models (also called multilevel models) have been developed to allow for the study of relationships at any level in a single analysis, while not ignoring the variability associated with each level of the hierarchy.
The HLM program can fit models to outcome variables that generate a linear model with explanatory variables that account for variations at each level, utilizing variables specified at each level. HLM not only estimates model coefficients at each level, but it also predicts the random effects associated with each sampling unit at every level. While commonly used in education research due to the prevalence of hierarchical structures in data from this field, it is suitable for use with data from any research field that have a hierarchical structure. This includes longitudinal analysis, in which an individual's repeated measurements can be nested within the individuals being studied. In addition, although the examples above implies that members of this hierarchy at any of the levels are nested exclusively within a member at a higher level, HLM can also provide for a situation where membership is not necessarily "nested", but "crossed", as is the case when a student may have been a member of various classrooms during the duration of a study period.
The HLM program allows for continuous, count, ordinal, and nominal outcome variables and assumes a functional relationship between the expectation of the outcome and a linear combination of a set of explanatory variables. This relationship is defined by a suitable link function, for example, the identity link (continuous outcomes) or logit link (binary outcomes).
News about HLM 
 A new SuperMix 2.1 license for HLM 7 end users.
 Hard copies of the HLM7 user manual are now available from Amazon.com at the price of $23 per manual.
 HLM 7.01 for Windows is now available
 Hierarchical Linear Modeling with HLM Software by G. David Garson.
 A book featuring HLM in Chinese: HLM: Theory, Methods and Application.
 Free upgrade to HLM 6.08 for Windows is available for all previous versions of HLM 6 for Windows.
 A book featuring HLM in Chinese: Hierarchy Linear/non linear Modeling Theory and Application.






