How to determine the appropriate sample size for structural equation modeling

Structural equation modeling (SEM) is an increasingly popular choice for quantitative statistical analyses, as it allows researchers to model complex relationships while taking into account measurement error of latent variables. Although there are great advantages to using SEM, the complexity of the analysis can be daunting, especially for students or beginning researchers. One of the

How to determine the appropriate sample size for structural equation modeling

The Power Advantage of Within-Subjects Designs

What to do When Your Sample Size is Not Big Enough

How to Select the Appropriate Statistical Analysis

Why Do We Have Margin Of Error In Statistics?

Why do we have a margin of error in statistics?  If statistics are meant to be accurate, why are they sometimes accompanied by an estimate of doubt?  Well, if we are simply describing something we know everything about, we don’t really need to include an estimate of error.  For example, descriptive statistics are often used

Intellectus Statistics: Available Analyses

The current analyses available in Intellectus Statistics are: Descriptive Statistics-Calculates frequencies and percentages for selected nominal and ordinal variables. Calculates means and standard deviations fro selected scale variables. Cronbach’s Alpha-Examines the extent to which a set of scale level variables are consistently scored. Chi-Square Test of Independence-Compares the observed frequencies to expected frequencies of two nominal

Preparing Your Data For Statistics Solutions Pro

SPSS data file preparation Excel data file preparation

The Law of the Farm and Your Dissertation

Too often in our undergraduate years we’ve learned to cram for school and tests.  You may have procrastinated all semester, and then pulled all-nighters for the final paper or test.  Cramming is antithetical to the law of the farm.  The Law of the Farm essentially says that to be a farmer, you have to plan,

Qualitative Data

Thematizing and three coding types (open, axial, and selective) Thematizing refers to the analysis of interview responses. To analyze the interview responses, data is analyzed for the presence of themes.  Interview responses can be examined multiple times on an overall basis OR  on responses per interview question to identify the themes. Typically, if agreement, or