IBM SPSS Statistics 27.0 Overview · Direct Marketing Complex Samples Conjoint Exact Tests SPSS...

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IBM SPSS Statistics 27.0 Overview Updated 06.19

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  • IBM SPSS Statistics 27.0

    Overview

    Updated 06.19

  • SPSS Statistics | Packaging (V26 and prior)

    • Combinations of Modules make up Editions• A-la-cart purchase flexibility has led to licensing complexity, >1512 combinations of Edition + Modules• Limited consistency across Subscription, Commercial and Campus editions

    Modules

    Editions

    Statistics V26 and prior packaging Subscription Plan*

    Commercial Editions(Perpetual/Term Licenses)

    Campus Editions(Perpetual/Term Licenses)

    Modules Base CT/AS** CS/T** FC/DT** Base Standard Professional Premium Base Standard Premium

    Statistics Base ◉ ◉ ◉ ◉ ◉ ◉ ◉ ◉

    Advanced Statistics ◉ ◉ ◉ ◉ ◉ ◉

    Regression ◉ ◉ ◉ ◉ ◉ ◉

    Custom Tables ◉ ◉ ◉ ◉ ◉

    Data Preparation ◉ ◉ ◉ ◉

    Missing Values ◉ ◉ ◉ ◉

    Categories ◉ ◉ ◉ ◉

    Forecasting ◉ ◉ ◉ ◉

    Decision Trees ◉ ◉ ◉ ◉

    Neural Networks ◉ ◉ ◉

    Direct Marketing ◉ ◉ ◉

    Complex Samples ◉ ◉ ◉

    Conjoint ◉ ◉ ◉

    Exact Tests ◉ ◉ ◉

    Bootstrapping ◉ ◉ ◉

    SPSS Amos*** (Windows, Desktop only)

    Add-on Add-on Add-on ◉ Add-on Add-on Add-on

    CT/AS – Custom Tables & Advanced Statistics Add-on CS/T – Complex Sampling & Testing Add-onFC/DT – Forecasting & Decision Trees Add-on

    * = IBMID required to use the product (work offline up to 14 days) ** = Optional add-ons (sold separately) *** Desktop client only (Purchased separately for Base, Standard and Professional editions), Not available for subscription

  • Subscription Plan*Commercial Editions

    (Perpetual/Term Licenses)

    ModulesBase CT/AS CS/T FC/DT Base Standard Professional Premium

    Statistics Base ◉ ◉ ◉ ◉ ◉

    Data Preparation ◉ [◉] [◉] ◉ ◉

    Bootstrapping ◉ [◉] [◉] [◉] ◉

    Advanced Statistics ◉ ◉ ◉ ◉

    Regression ◉ ◉ ◉ ◉

    Custom Tables ◉ ◉ ◉ ◉

    Missing Values ◉ ◉ ◉

    Categories ◉ ◉ ◉

    Forecasting ◉ ◉ ◉

    Decision Trees ◉ ◉ ◉

    Neural Networks ◉ ◉

    Direct Marketing ◉ ◉

    Complex Samples ◉ ◉

    Conjoint ◉ ◉

    Exact Tests ◉ ◉

    SPSS Amos*** (Windows, Desktop only)

    Add-on Add-on Add-on ◉

    SPSS Statistics 27 | Packaging: Simplification and More Value

    CT/AS – Custom Tables & Advanced Statistics Add-onCS/T – Complex Sampling & Testing Add-onFC/DT – Forecasting & Decision Trees Add-on

    * IBMID required to use the product (work offline up to 14 days)** Optional add-ons (sold separately) *** Desktop client only (Purchased separately for Base, Standard and Professional editions), Not available for subscription

    • Base Edition will now include Data Preparation & Bootstrapping modules

    • Customers can benefit from more functionality, features and value by upgrading to 27

  • SPSS Statistics 27 | Packaging Changes (Software)

    • SPSS Statistics 27 will only support 64bit OS versions:• macOS • Windows 10• Linux

  • Features and Functionality

    || SPSS Statistics || © 2020 IBM Corporation 5

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | Overview

    New Statistics and Enhancements

    New to Base Edition:• Data Preparation Module• Bootstrapping Module

    New Statistics: • Power Analysis (11)• Cohen’s Weighted Kappa

    Statistical Enhancements:• Effect Sizes• Quantile Regression• MATRIX commands

    Productivity and Usability Enhancements

    Productivity Improvements

    Output & Usability Enhancements

    Other Improvements

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | New to Base: Data Preparation

    Streamline Data Preparation to focus on analysis

    • Streamline Data Validation and eliminate manual checks

    • apply rules to perform data checks based on each variable’s measure level

    • Identify outliers quickly using the Anomaly Detection

    • identify unusual cases in a multivariate setting

    • Use Optimal Binning

    • grouping the values of variable into a relatively small set of discrete values

    • Supervised, Unsupervised or Hybrid methods

    • Automatically Prepare Data (ADP)

    • detect and correct quality errors and impute missing values in one efficient step

  • SPSS Statistics 27.0 / June 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | New to Base: Bootstrapping

    • Estimate the sampling distribution of an estimator by resampling with replacement from the original sample

    • Use case: When the data sample is relatively small and the sampling

    distribution is not known (for example: not a normal distribution)

    The following procedures support Bootstrapping in dialogs:

    Base Edition Advanced Module

    Frequencies One-Way ANOVA GLM Multivariate

    Descriptives GLM Univariate Linear Mixed Models

    Explore Bivariate Correlations Generalized Linear Models

    Crosstabs Partial Correlations Cox Regression

    Means Linear RegressionRegression Module

    One-Sample T Test Ordinal Regression Binary Logistic Regression

    Independent-Samples T TestDiscriminant Analysis Multinomial Logistic Regression

    Paired-Samples T Test

  • SPSS Statistics 27.0 / June 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | New Statistics: Power Analysis

    11 New Power Analysis Procedures (a priori)

    • Valuable to study preparation and study design process

    • Can define optimal sample size to yield statistically significant results

    • “How many participants?”

    • “Given limited budget, what should be my minimum sample size?”

    11 Power Analysis Procedures

    Means:

    • One Sample T-Test

    • Paired Sample T-Test

    • Independent Sample T-Test

    • One-way ANOVA

    Proportions:

    • One-Sample Binomial Test

    • Related-Sample Binomial Test

    • Independent-Sample Binomial Test

    Correlations:

    • Pearson Product-Moment

    • Spearman Rank-Order

    • Partial

    Regression:

    • Univariate Linear

    Available in: SPSS Statistics Base Edition

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | New Statistics: Cohen’s Weighted Kappa

    Cohen’s Weighted Kappa• Summarize inter-rater agreement on an ordinal scale• Use weighting schemes to describe the closeness of agreement between raters

    Weighted Kappa additions

    • Linear weighting

    • Quadratic weighting

    Define two raters to compare

    Pairwise agreement for >= 2 raters

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | Procedure Enhancement: Effect Sizes

    • Highly requested feature, adding onto existing Effect Sizes

    • What’s added: Effect size estimates and confidence intervals for T-TEST and ONEWAY procedures, including Cohen's, Hedges', and Glass' measures for t-tests, and eta-squared, epsilon-squared, and omega-squared measures for contrasts and omnibus tests in one-way ANOVA

    Tests where new Effect Size were added

    • One-sample t-tests

    • Independent-samples t-tests

    • Paired samples t-tests

    • One-way analysis of variance (ANOVA)

    • Custom contrasts in one-way (ANOVA)

    Additional table produced showing Cohen’s & Hedges d

    Available in: SPSS Statistics Base Edition

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    Quantile Regression usability enhancements:

    • UI improvements to simplify quartile grid entries when specifying many values

    Ongoing enhancements to the MATRIX for advanced users: • Probability distribution functions (PDFs) • Noncentral probability distribution functions (NPDFs)• Random variable generation functions• Significance functions for chi-square and F distributions• Noncentral cumulative distribution function (NCDF) for Beta distributions

    SPSS Statistics 27 | Procedure Enhancement: Quantile Regression+ MATRIX

    SPSS Statistics 26 SPSS Statistics 27

  • SPSS Statistics 27.0 / June 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | Productivity Improvements

    Get work done faster with Global Search

    • Navigate faster – quickly find dialogs and procedures

    • Search help topics in documentation (online)

    • Find details on Syntax commands (online)

  • SPSS Statistics 27.0 / June 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | Productivity Improvements

    Minimize data loss with Auto-Recovery

    • Unsaved user sessions saved locally; enabled by default

    • SPSS detects unexpected shutdowns, prompts users with options to Auto-Recover Sessions

  • SPSS Statistics 27.0 / June 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | Output Enhancements

    New Bubble Chart:• Bring in another dimension into reports and visualizations (up-to 4)• Supports categorial and continuous variables• Extends existing scatterplot chart functionality

    Chart Templates improvements:• Improved template access and previews in Chart Builder• Improved template builder in Edit -> Options -> Charts

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | Output Enhancements

    • Improved APA format support

    • Simplify formatting effort

    • Output editing enhancements

    • Simplified chart editing and usability

    • High resolution output export• Production Ready Postscript (.eps) output for graphics export

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    SPSS Statistics 27 | Usability Improvements

    • macOS Native Dialog; native OS experience• Enabled by default• Configurable within Edit -> Options

    • LAW enhancements• Simplified LAW usability and layout• Improved offline activation automation capability

  • SPSS Statistics 27 | Enhancements

    IBM Cloud / DOC ID / Month XX, 2017 / © 2017 IBM Corporation

    • Welcome Screen Enhancements• Internet enabled; periodic updates with new information and content

    • Windows UI theme modernization• SPSS Light theme applied

  • SPSS Statistics 27 | Enhancements

    • Ships with latest Python 3.8.2 • SPSS Statistics extensions have been updated• Python 2 is not installed by default (security issues)• User must define custom path for Python 2 to run old code

    • macOS installer update• Native PKG installer• Push installs requires additional config

    • Backend updates• Modernization, bug fixes and improvements

  • SPSS Statistics 27.0 / June, 2020 / © 2020 IBM Corporation

    SPSS AMOS 27 | Functionality Improvements

    Powerful Structural Equation Modeling

    • AMOS 27 supports model export to Bayesian modeling program

    Stan

    “Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and

    prediction in the social, biological, and physical sciences, engineering, and business”

    - mc-stan.org