SPSS like analysis for multiple response questions. Strongly inspired by multiResponse function from ufs package. Project source is available at Github. The module is available in the Exploration Menu.
The jamovi team would like to add that supporting multiple response columns natively in the jamovi analyses is on our development roadmap – In the mean time, this module makes a great stop-gap.
architectures: - name: win64 path: vijMR-1.0.1.jmo requires: jamovi: '>= 1.0.8.0' - name: clt title: Demonstrations version: 1.0.0 authors: - Gasper Cankar description: 'Simple simulations to help students visualize first lessons in probability: how and when binomial distribution approximates normal and how Law of big numbers and Central Limit Theorem work. Students can visualize correlations of different sizes and grasp important concepts when testing hypotheses.' architectures: - name: win64 path: clt-1.0.0.jmo requires: jamovi: '>= 1.0.8.0' - name: ztestvis title: Conducts a one-sample z-test version: 1.1.0 authors: - W. Joel Schneider description: Conducts a one-sample z-test architectures: - name: win64 path: ztestvis-1.1.0.jmo requires: jamovi: '>= 1.0.8.0' - name: lsj-data title: learning statistics with jamovi version: 1.0.1 authors: - Danielle Navarro - David Foxcroft description: 'This module provides examples data sets to accompany the book learning statistics with jamovi. ' architectures: - name: win64 path: lsj-data-1.0.1.jmo requires: jamovi: '>= 1.2.0.0' - name: r-datasets title: R data sets version: 1.0.1 authors: - The R Core Team description: 'This module provides the example data sets from R ' architectures: - name: win64 path: r-datasets-1.0.1.jmo requires: jamovi: '>= 1.2.0.0' - name: Statkat title: Statkat - Method Selection Tool version: 1.0.2 authors: - Rivka M. de Vries description: This tool will help you to find an appropriate statistical method given your research question and the measurement level of your data. architectures: - name: win64 path: Statkat-1.0.2.jmo requires: jamovi: '>= 1.0.8.0' - name: SimplyAgree title: Flexible and Robust Agreement and Reliability Analyses version: 0.1.0 authors: - Aaron R. Caldwell description: Agreement and Reliability Analyses for nested designs. architectures: - name: win64 path: SimplyAgree-0.1.0.jmo requires: jamovi: '>= 1.0.8.0' - name: ufs title: 'ufs: tools for confidence intervals and other tricks' version: 0.3.1 authors: [] description: The ufs module makes functions from the eponymous R package available in jamovi. These include functions for computing confidence intervals for effect sizes, computing the required sample size for estimating an effect size with a confidence interval of a given width, producing diamond plots, creating a multiple response table, and to do some basic operations such as (dis)attenuate effect size estimates. architectures: - name: win64 path: ufs-0.3.1.jmo requires: jamovi: '>= 1.0.8.0' - name: behaviorchange title: Tools for Behavior Change Researchers and Professionals version: 0.2.2 authors: - Gjalt-Jorn Peters - Rik Crutzen - Stefan Gruijters description: This Jamovi module contains specialised analyses and visualisation tools for research in and application of behavior change science. These facilitate conducting determinant studies (for example, using confidence interval-based estimation of relevance, CIBER, or CIBERlite plots), systematically developing, reporting, and analysing interventions (for example, using acyclic behavior change diagrams or ABCDs), reporting about intervention effectiveness (using the Numbers Needed for Change), and computing the required sample size (using the Meaningful Change Definition). This package is especially useful for researchers in the field of behavior change or health psychology and to behavior change professionals such as intervention developers and prevention workers. architectures: - name: win64 path: behaviorchange-0.2.2.jmo requires: jamovi: '>= 1.0.8.0' - name: metaumbrella title: Umbrella Review version: 1.0.5 authors: - Corentin J Gosling [aut, cre], Aleix Solanes [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut] description: 'A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence. This module accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations in an umbrella review (including but not limited to pairwise meta-analyses), (ii) stratify evidence according to various classification criteria, and (iii) generate a visual representation of the results. ' architectures: - name: win64 path: metaumbrella-1.0.5.jmo requires: jamovi: '>= 1.0.8.0' - name: Randomizer title: Randomize common experimental designs version: 0.4.0 authors: - Michael Bomford description: Randomize balanced single factor or full factorial experiments using Completely Randomized, Randomized Complete Block, or Latin Square designs. Generate plot maps, plot lists, and design property tables. Restore a particular randomization by seed. Prepare for randomization by making each factor name a column header in jamovi's spreadsheet, with levels of that factor listed below. architectures: - name: win64 path: Randomizer-0.4.0.jmo requires: jamovi: '>= 1.0.8.0' - name: ClinicoPathDescriptives title: Descriptives Functions for Clinicopathological Research version: 0.0.2.26 authors: - Serdar Balci description: Descriptives Functions for Clinicopathological Research Descriptive functions from ClinicoPath jamovi module. ClinicoPath help researchers to generate natural language summaries of their dataset, generate cross tables with statistical tests, and survival analysis with survival tables, survival plots, and natural language summaries. architectures: - name: win64 path: ClinicoPathDescriptives-0.0.2.26.jmo requires: jamovi: '>= 1.6.0.0' - name: meddecide title: Functions for Medical Decision in ClinicoPath jamovi Module version: 0.0.2.11 authors: - Serdar Balci description: 'This module contains functions for interobserver and intraobserver reliability and decision tests (sensitivity, specificity, PPV, NPV). Power analyses are available.' architectures: - name: win64 path: meddecide-0.0.2.11.jmo requires: jamovi: '>= 1.8.1.0' - name: psychoPDA title: Psychometrics & Post-Data Analysis version: 1.0.5 authors: - Lucas Friesen description: 'A suite designed to enable the performance of post-data analyses in pyschometric research. ' architectures: - name: win64 path: psychoPDA-1.0.5.jmo requires: jamovi: '>= 1.0.8.0' - name: QM title: Analysis of data from Q-methodology version: 0.9.0 authors: - Thomas Leblay - Juliette Victoire - "S\xE9bastien L\xEA" description: This module allows you to analyze Q-methodology data, the French way. Enjoy. architectures: - name: win64 path: QM-0.9.0.jmo requires: jamovi: '>= 1.0.8.0' - name: MEDA title: Multivariate Exploratory Data Analysis version: 1.5.0 authors: - Thomas Leblay - Fiona Tuffin - Maxime Saland - "Ma\xEFwen Faure" - "S\xE9bastien L\xEA" description: 'This module allows you to perform multivariate exploratory analyses the French way. In other words, you will be able to add supplementary information for a better understanding of your results. Four main methods have been implemented: Principal Component Analysis, Correspondence Analysis, Multiple Correspondence Analysis and Multiple Factor Analysis. After running these 4 methods, unsupervised clustering can also be performed on the compoenents. You can also get an automatic description of a variable based on the other variables of the dataset (categorical/quantitative). Results are obtained thanks to the FactoMineR package. These analyses are described in the MEDA website.' architectures: - name: win64 path: MEDA-1.5.0.jmo requires: jamovi: '>= 1.0.8.0' - name: SEDA title: Sensory Evaluation Data Analysis version: 1.2.0 authors: - Thomas Leblay - Fiona Tuffin - Thomas Vincent - "Ma\xEBlle Beaudinet" - Maxime Saland - "Ma\xEFwen Faure" - "S\xE9bastien L\xEA" description: This module allows you to analyze two types of sensory data. A first one, when stimuli are described according to a fixed list of sensory attributes (QDA data, JAR data). A second one, when stimuli are described freely (Napping and sorting data). It is also possible to get an external preference mapping. Results are obtained thanks to the SensoMineR package. architectures: - name: win64 path: SEDA-1.2.0.jmo requires: jamovi: '>= 1.0.8.0' - name: JAR title: Just-About-Right Data Analysis version: 1.0.0 authors: - Ekaitz Esteban description: Just-About-Right Scale and penalty analysis for a given product. architectures: - name: win64 path: JAR-1.0.0.jmo requires: jamovi: '>= 1.0.8.0' - name: blandr title: Bland-Altman Method Comparison version: 0.5.1 authors: - Deepankar Datta description: This module provides Bland-Altman method comparison analysis, and is also available as an R package from CRAN architectures: - name: win64 path: blandr-0.5.1.jmo requires: jamovi: '>= 1.0.8.0' - name: FoodieStats title: Gastronomic Data Analysis Tool version: 0.7.3 authors: - Ekaitz Esteban description: FoodieStats is a dedicated statistical module designed for gastronomy professionals, nutritionists and high-performance athletes. This module covers a range of critical aspects in food and beverage product development. * Food and Beverage Product Formulation - Contains experimental design methods used in the creation of food and beverage products and their practical application within the food industry. * Sensory and Consumer Data - Integrates methods and tools for in-depth sensory and consumer data analysis, emphasizing measurement scales, sensometrics, and various data collection methods. * Food Control and Machine Learning - Includes food control and machine learning approaches to advance product development in the realm of gastronomy. * Food Science and Nutrition - Utilizes health-focused analytics to optimize nutritional content. architectures: - name: win64 path: FoodieStats-0.7.3.jmo requires: jamovi: '>= 1.0.8.0' - name: jmvbaseR title: Base R version: 1.1.2 authors: - Jonathon Love - Damian Dropmann - Ravi Selker description: 'A simple module which makes the analyses from the stats package (included with R) useable from jamovi. This module is ideal for teaching and learning R (when run in ''syntax mode'') as it demonstrates the syntax for some basic but common R analyses. ' architectures: - name: win64 path: jmvbaseR-1.1.2.jmo requires: jamovi: '>= 1.0.8.0' - name: rosetta title: Parallel Use of Statistical Packages in Teaching version: 0.1.3 authors: [] description: When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats book allows comparing analyses in different packages. This module is the companion to the Rosetta Stats book, containing the example datasets used in the book and eventually aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics. architectures: - name: win64 path: rosetta-0.1.3.jmo requires: jamovi: '>= 1.0.8.0' - name: jmvarcade title: jamovi Arcade version: 1.1.0 authors: - Ravi Selker description: There's a time for work and there's a time for play. Step into the jamovi Arcade to leave your sorrows behind and relax for a while. Play games such as hangman and blackjack and find out whether you have got what it takes to be the next covfefe? architectures: - name: win64 path: jmvarcade-1.1.0.jmo requires: jamovi: '>= 1.0.8.0'