For a 2-level hierarchical model, HLM requires two files for a 2-level model, one for level-1 and one for level-2. Similarly, for a 3-level hierarchical model, HLM requires three data…
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Note: The following is for HLM 5.04. HLM does not generally use the raw data directly. It creates a sufficient statistics matrix stored in an SSM file for a univariate…
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Statistical Consultants for Hire Our consulting services are geared towards providing self-sufficient researchers answers to specific questions about statistical computing to aid them with their research. Using this model, we…
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Linear regression, also called OLS (ordinary least squares) regression, is used to model continuous outcome variables. In the OLS regression model, the outcome is modeled as a linear combination of…
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Linear regression, also called OLS (ordinary least squares) regression, is used to model continuous outcome variables. In the OLS regression model, the outcome is modeled as a linear combination of…
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Linear regression, also called OLS (ordinary least squares) regression, is used to model continuous outcome variables. In the OLS regression model, the outcome is modeled as a linear combination of…
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Linear regression, also called OLS (ordinary least squares) regression, is used to model continuous outcome variables. In the OLS regression model, the outcome is modeled as a linear combination of…
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As the name implies, multivariate regression is a technique that estimates a single regression model with more than one outcome variable. When there is more than one predictor variable in…
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Please note that this workshop is not intended to provide an introduction to the use of Mplus.  Rather, it is assumed that you already have a basic familiarity with the…
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Introduction Power analysis is the name given to the process for determining the sample size for a research study. The technical definition of power is that it is the probability…
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