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XLSTAT - Psy versions & prices
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XLSTAT-Psy is specially designed for the investigation of psychological or social data. Explore the complex relationships that may occur between latent variables such as intelligence, wellbeing, and so on. The software provides correspondence analysis, procrustes-analysis, PLS pathmodelling and others.

XLSTAT-Base is included in this solution!

XLSTAT-Psy

XLSTAT is a data analysis system and statistical software for Microsoft Excel. XLSTAT extends Excel to an efficient and easily accessible statistics tool that covers most of the functions needed for the analysis and modeling of data. The software automatically integrates itself into your MS Excel user interface and is always addressable from there. In more than 100 countries, beyond 25.000 engineers, statisticians, consultants and scientists are already using XLSTAT and confirm the quality of the safe, efficient, easy-to-use and at the same time most reasonably priced software.

XLSTAT make use of Excel's functionality in respect to data collection and presentation of results. However, all calculations are carried out in autonomous programs. The disposal of Excel as an interface makes the product very easy to use and effective. The quality of the calculations themselves is equivalent to that of the leading scientific packages. XLSTAT comprises the complete statistics and provides routines for dose-response curves as well as for mulitvariate statistics or PLS.


User Interface of XLSTAT-Psy

User Interface of XLSTAT-Psy

XLSTAT-Psy - Overview

XLSTAT's Productline was completely overhauled! More information in our News-Section, click here.

With XLSTAT-Psy you can investigate psychological or social data in an easy way! Explore the complex relationships that may occur between latent variables such as intelligence, wellbeing and academic performance via structural equation modeling using partial least squares. Multiblock data analysis techniques are also available. XLSTAT-Psy provides you with canonical correlation analysis, Procrustes Analysis, principal component regression, PLS path modelling and more.


Symmetric Map
Principal Component Analysis
Procruste-Analysis in XLSTAT

Canonical Correspondence Analysis Symmetric Map

Principal Component Analysis in XLSTAT

Procruste-Analysis Dimensions

PLS in XLSTAT
PLSPM chart in XLSTAT

Model of a PLS Method

PLSPM chart in XLSTAT

Options in the dialogbox for PLSPM


User's of prior versions of XLSTAT will find the following old modules in XLSTAT-Psy:

  • XLSTAT - Pro
    Software for statistical functions and data analysis in MS excel.
  • XLSTAT-Pivot: a must have complement for XLSTAT users who need to quickly create pivot tables while discovering important trends and factors impacting their business.
  • XLSTAT-PLS: for Partial Least Squares Regression and PCR regression.
  • XLSTAT-ADA: for Advanced Data Analysis (RDA, CCA, GPA, MFA)
  • XLSTAT-PLSPM: for PLS Path modeling.

XLSTAT grows with you - optional Modules

Software needs to fit to the user - not backwards! This is why XLSTAT's functions can be extended by optional modules. These modules are for very specific applications. The optional modules of XLSTAT can be bought seperately and are not contained in any of the solutions! The optional modules will fit into your excel interface as usual and can be addressed from there anytime. Let XLSTAT adapt to your requirements!

Optional Modules

XLSTAT-3DPlot

XLSTAT - 3DPlot

XLSTAT-3DPlot is an excellent extension for the data visualisation with XLSTAT! More Details

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XLSTAT-CCR

XLSTAT - CCR

XLSTAT-CCR supports regression analysis with many correlated predictors. More Details

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XLSTAT-LG

XLSTAT - LG

XLSTAT-LG is a powerful tool for Latent Class Regression models and Latent Class Cluster models. More Details

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Further Information

Systemrequirements for the software XLSTAT

  Windows® Mac
Further Requirements Microsoft Excel 2003, 2007, 2010, 2013, 2016 Microsoft Excel 2011
Operating System Windows XP, Vista, 7, 8, 10 (32-/64-Bit) OS X
Minimum CPU 800 MHz 800 MHz
Min. RAM 128 MB 128 MB
Disk Space 150 MB 150 MB

Features in XLSTAT-Psy

  • PLS methods
  • Generalized structure component analysis (GSCA)
  • Generalized Regularized Canonical Correlation Analysis (GRCCA)
  • Canonical Correlation Analysis
  • Canonical Correspondence Analysis
  • Procrustes analysis
  • Multiple Factor Analysis (MFA)
  • Principal component analysis (PCA)
  • Redundancy analysis (RDA)

The following features are part of XLSTAT-Base (which is included in XLSTAT-Psy):

Analyzes

  • Factor analysis
  • Principal component analysis (PCA)
  • Discriminant
  • Correspondence Analysis
  • Multiple Korrespondenzanalysev
  • Multidimensional scaling (MDS)
  • k-means clustering
  • Agglomerative hierarchical clustering
  • Gaussian Mixture Model
  • Univariate partitioning
  • Association Rules
    Using association rules can directional relations between one or more objects of a set and another set of objects are determined in a large data set.

Modeling

  • Probability Distributions
    • Beta
    • Binomial
    • Negative Binomial
    • Chi-square
    • Exponentially
    • Fisher
    • Fisher-Tippett
    • Gamma
    • GEV
    • Gumbel
    • Lognormal
    • Normal
    • Pareto
    • Poisson
    • Student
    • Uniforme
    • Weibull distribution
  • Linear regression
  • Analysis of variance (ANOVA)
  • Welch and Brown-Forsythe one-way ANOVA
  • Covariance (ANCOVA)
  • Repeated Measures Analysis of Variance (ANOVA)
  • Mixed models and Repeated Measures ANOVA
  • Binary and Multinomial Logistic Regression (Lobit, Probit, ...)
  • Ordinal logit model
  • Log-linear regression (Poisson regression)
  • Quantile
  • Cupic spline
  • Kernel regression
  • Nonlinear regression (GENFIT)
  • Two-Stage Least Squares Regression
  • Classification and regression trees
  • K Neares Neighbors (KNN)

Tests

Correlation and Association tests
  • Correlation test
  • Test on contingency tables
  • RV Coefficient
  • Cochran-Armitage trend test
  • Mantel test
Parametric tests
  • Comparison of k proportions
  • Comparison of one proportion
  • Comparison of two proportions
  • Equivalence test (TOST)
  • One-sample variance test
  • Comparison of variances of two samples
  • Comparison of variances k samples
  • Multidimensional tests
  • Multinomieller fit test
  • t and z tests for one sample
  • t and z for two samples
Nonparametric tests
  • Comparison of two independent samples (Kolmogorov-Smirnov, Mann-Whitney)
  • Comparison of two paired samples (Wilcoxon sign test, sign test)
  • Comparison of k independent samples (Kruskal-Wallis test)
  • Comparison of k related samples (Friedman test)
  • Mood test (median test)
  • Durbin-Skilling-Mack test
  • Page Test
  • Cochran's Q test
  • McNemar's test
  • Cochran-Mantel-Haenszel test
  • Running tests on a sample
Outlier Tests
  • Grubbs test for outliers
  • Dixon test for outliers
  • Cochran C test for variances ourlying
  • Mandel's h and l statistics for outliers

Tools

  • Export as GIF, JPG, PNG, TIF
  • Data Flagger
  • MinMax Search
  • Distance of text values in a selection
  • Configuring the menu bar (hide, show, etc.)
  • Configuring Workbooks