At 05:50 PM 9/26/2010, mhlamphear wrote:
Does anyone know the difference
between the "base" and the "standard" grad
pack?
Well, the site
(
http://www.spss.com/software/statistics/academic/gradpack/) says that
the 'standard' pack includes the base plus the "Advanced
Statistics" and "Regression" modules.
I will be using ANCOVA and
multiple regression to make predictions in my
dissertation.
The base package may have all that you need; see the summary at
http://www.spss.com/software/statistics/statistics-base/.
But see if you need any of these:
From Advanced Statistics
(
http://www.spss.com/software/statistics/advanced-statistics/):
- Generalized linear mixed models (GLMM) for use with hierarchical
data
- General linear models (GLM) and mixed models procedures
- Generalized linear models (GENLIN), including widely used statistical
models such as linear regression for normally distributed responses,
logistic models for binary data, and loglinear models for count data.
- GENLIN also offers many useful statistical models through its very
general model formulation
- Generalized estimating equations (GEE) procedures extend generalized
linear models to accommodate correlated longitudinal data and clustered
data
From Regression
(
http://www.spss.com/software/statistics/regression/):
- Multinomial logistic regression: Predict categorical outcomes with
more than two categories
- Binary logistic regression: Easily classify your data into two
groups
- Nonlinear regression and constrained nonlinear regression (CNLR):
Estimate parameters of nonlinear models
- Weighted least squares: Gives more weight to measurements within a
series
- Two-stage least squares: Helps control for correlations between
predictor variables and error terms
- Probit analysis: Evaluate the value of stimuli using a logit or
probit transformation of the proportion responding
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