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select studies to be include in the analyses. choose computational options for publication bias and moderator analyses. choose the computational model for analysis: fixed-effect model or random-effects model or both models. Few clicks for running analysesĪfter data entry, you can easily define your plan of analyses: Furthermore, ProMeta offers efficient tools for recoding both categorical and numerical moderators. Moderators are flexible, that means they can be treated as study-level, subgroup-level, comparison-level, wave-level, or outcome-level moderators. In ProMeta you can define three types of moderators: categorical, numerical decimal, and numerical integer moderators. You can choose among the following effect sizes: When you enter your data, ProMeta computes an effect size and automatically converts it in other effect size formats. When you are uncertain, ProMeta helps you! In fact, within each data entry type the order of presentation of the data formats reflects precision of effect size computations, guiding your choice. You just have to choose the format corresponding to the data reported in primary studies. ProMeta offers numerous formats for entering data. cross-sectional or longitudinal designs. design with independent groups or matched groups. correlations (Pearson’s, Kendall’s Tau, and Spearman’s Rho). You can choose among a large array of options. In ProMeta you can select, for each study, its own data entry type. In ProMeta you can easily define multiple subgroups, comparisons, waves, and/or outcomes and assign them to studies in which they are reported. Subgroups, comparisons, waves, and/or outcomes If you are “struggling” with complex data structures, do not panic! ProMeta offers several tools for managing these situations. Furthermore, data formats could vary from one study to the other making even more difficult to synthesize them. Researchers might have to manage data of multiple subgroups, comparisons, waves, and/or outcomes reported in each primary study. Main problems that most researchers have to face when they conduct their meta-analytic reviews are represented by the heterogeneity of primary studies. Furthermore, ProMeta offers tools for exporting your meta-analysis to file and for importing it in other computers. This means that every time you work on a meta-analysis, it is automatically updated and available for your next use. ProMeta has an integrated relational database so it does not need external files. Commands are very easy: you just need to right-click on variables or drag and drop them to prepare your project.Ī true innovation of ProMeta is the system used for saving data and analyses. It does not present the usual spreadsheet typical of many statistical packages but it is organized with an innovative graphic interface. ProMeta is a software extremely intuitive. (Confidence Interval Plotter) to realize personalized very high quality graphs.īoth the researcher who approaches the meta-analysis for the first time and the expert meta-analyst will find in ProMeta an excellent instrument for performing their meta-analytic reviews.
HIGH RESOLUTION PLOT: ProMeta adopts the new software C.I.P. COMPLETENESS: ProMeta offers several tools for dealing effectively with complex meta-analytic data (e.g., multiple data entry formats, subgroups, comparisons, waves, and outcomes). USER-FRIENDLINESS: Use of ProMeta is very intuitive and simple. ProMeta 3.0 is now available for free! Features Keygen means a small program that will generate a cd key, serial number, activation number, license code or registration number for a piece of software.ProMeta 3.0 is a professional statistical software for conducting meta-analysis. It is based on ProMeta 2.1 deployed by Internovi in 2015.
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