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What's New in Statistics for Data Analysis V.28

Introduction

 

Statistics for Data Analysis powered SPSS enables organizations to gather rich insights from data with a powerful set of tools to validate assumptions, analyze past performance and forecast trends.

Statistics for Data Analysis 28 introduces a new statistical procedure (meta-analysis), enhancements to existing procedures such as Power Analysis for increased research methods, data visualizations to understand connections, and functional enhancements designed to improve everyday usability.

What's New in Statistics for Data Analysis V.28

 

Meta-analysis

  1. Meta-analysis of continuous outcomes: Raw data, precalculated effect size data

  2. Meta-analysis of binary outcomes: Raw data, precalculated effect size data

  3. Meta-regression

Meta-analysis constitutes a scientific process to synthesize and combine results across different research studies. It can provide systematic reviews on the magnitude of the effect sizes as well as the causes of potential variation. The methods of meta-analysis have also been expanded to the heterogeneity tests, publication bias assessment, evaluation of small study effects, and meta-regression. Various charts and plots available in meta-analysis are broadly used in data visualization, result summary and bias illustration.

Procedure enhancements

 

Power Analysis

Statistics for Data Analysis 28 includes an enhancement to the Power Analysis procedures to create a graphical representation of results. Power analysis plays a pivotal role in study plan, design, and conduction. The calculation of power is usually before any sample data have been collected, except possibly from a small pilot study. The precise estimation of the power may tell investigators how likely it is that a statistically significant difference will be detected based on a finite sample size under a true alternative hypothesis.

All of the Power Analysis procedures now allow the user to enter a series of power values rather than a single one. These can take the form of separate (point) values, a series of values incremented by a specific amount, or a combination of both. This enhancement now results in a table of power values and, optionally, an accompanying power curve graph.

Ratio Statistics

The Ratio Statistics procedure in Statistics for Data Analysishas long been a convenient option for obtaining descriptive statistics on ratios of two variables, as well as the go-to procedure for property assessment professionals, whose work involves working with ratios of property assessment values to sales prices. In the time since the original procedure was implemented, changes in thinking about the use of some statistics in property valuation have occurred. The Ratio Statistics procedure has been enhanced to make it more consistent with current approaches, as described in the Standard on Ratio Studies document published by the International Association of Assessing Officers.

The most important change to the procedure is the addition of the coefficient of price-related bias (PRB) and an associated confidence interval. The PRB is an index of whether assessment to price ratios are systematically higher or lower for higher-priced properties. It is calculated by regressing percentage differences in assessment ratios from the median ratio on the base 2 logarithms of value proxy measures calculated as the averages of sales prices and the ratios of assessed values to the median ratio, and gives the percentage change in assessment ratios for a 100 percent change in value. This newly available measure is selected by default in the Statistics dialog when using the graphical user interface to the procedure, which is accessed via Analyze > Descriptive Statistics > Ratio.

Other changes include removing the coefficient of variation based on the median ratio from the Statistics dialog options, relabeling the remaining coefficient of variation option based on the mean ratio as COV, as is common usage, and adding the option in the main Ratio Statistics dialog to include the number of cases or properties on which statistics are based in the output table, instead of only offering that in a saved output file.

Other procedural enhancements

  1. A new graphical user interface control was designed for GLM and UNIANOVA. Specifically, an additional Compare simple main effects checkbox was added to the EM Means… sub-dialog to support the specification of comparisons among the main effects nested within the levels of other factors.

  2. Adjustments were made to Change Contrast in the LOGISTIC REGRESSION and COXREG dialogs:

a. The default reference category specification for contrast types that use reference category specifications (Indicator, Simple, and Deviation) was changed from Last to First.

b. The positions of the Last and First buttons were switched.

 

c.The listing of variables in the Categorical Covariates target list now includes (last).

  3. In prior versions users were able to run a two-sided T-Test, but additional calculations were necessary to get output for a one-sided
      T-Test. Users often were left to reference an IBM Tech Note to get the results they required for a one-sided T-Test. Starting with V28
      Beta, users will be able to run a one-sided T-Test through the dialogs.

Data visualizations

 

Relationship Maps

Relationship Maps are introduced as a new data visualization in Statistics for Data Analysis28. Users are now able to visually inspect the relationship across multiple variables as shown by the thickness of the connections and size of the categories indicator. This function can be found in the Graphs dropdown menu and will reference data within the active dataset.

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Relationship Maps offer a new data visualization in Statistics for Data Analysis powered by SPSS 28.

Usability improvements

 

Statistics Workbook

The Statistics Workbook combines multiple file types into one. Users are able to write syntax, create output, and edit that output all in the Workbook for an interactive way to run data analysis.

Accessing the Workbook: After the initial installation of the product, the view will be in Classic (Syntax & Output) mode. This can be seen in Edit > Options > Application Mode located at the top of the Options view. To switch the mode, select Workbook and click OK. There will be a warning dialog to remind users to close all open syntax and output documents before switching modes. To create a new Workbook, go to File > New and select Workbook.

Search enhancements

Search functionality, first introduced in version 27, is enhanced in SPSS Statistics 28. A search icon is present in the upper right corner of the Data, Syntax and Output windows. Click the icon to enter search terms. Search results will include links to menu dialogs, help topics, case studies and syntax references. Clicking a search result will take you directly to the relevant procedure dialog, help topic, case study, or syntax reference topic. Deeper levels are now extracted via robust alias search terms and text from within dialogs..

Side-pane table editor

Table editing in version 28 now introduces a more efficient process for you to get the output you desire in your tables (Figure 4). When Output is double clicked the editor mode now displays a side panel that brings in functionality found in the Cell Properties and Table Properties drop downs from the Format menu. In a reduced number of clicks, you can now edit tables using the side pane, and those changes will be reflected in the table view to the left of the pane.

High contrast accessibility

Accessibility support for high contrast was added in Statistics for Data Analysis powered by SPSS 28. If you select High Contrast mode on a Microsoft Windows machine and open Statistics for Data Analysis powered by SPSS, the view in the software will automatically display in high contrast mode. To use high contrast mode on a Mac, select System Preferences > Accessibility, then drag the Display contrast slider to adjust the display contrast.

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What's new in the latest versions

These are the main features that were introduced in the latest three versions of Statistics for Data Analysis powered by SPSS:

 
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