Nothing Special   »   [go: up one dir, main page]

Moshagen et al., 2024 - Google Patents

semPower: General power analysis for structural equation models

Moshagen et al., 2024

View HTML
Document ID
8259367602872884015
Author
Moshagen M
Bader M
Publication year
Publication venue
Behavior Research Methods

External Links

Snippet

Structural equation modeling (SEM) is a widespread and commonly used approach to test substantive hypotheses in the social and behavioral sciences. When performing hypothesis tests, it is vital to rely on a sufficiently large sample size to achieve an adequate degree of …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/40—Transformations of program code
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

Similar Documents

Publication Publication Date Title
Moshagen et al. semPower: General power analysis for structural equation models
Murayama et al. Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.
Jak et al. Analytical power calculations for structural equation modeling: A tutorial and Shiny app
Marshall et al. Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study
Zhang Monte Carlo based statistical power analysis for mediation models: Methods and software
Mueller Structural equation modeling: Back to basics
Azur et al. Multiple imputation by chained equations: what is it and how does it work?
Oliveira et al. BioDinamica: a toolkit for analyses of biodiversity and biogeography on the Dinamica-EGO modelling platform
MXPA02003699A (en) Method and system for generating software code using a symbolic language translator.
Xu et al. Statistical power analysis and sample size planning for moderated mediation models
Broeker et al. Assessing parameter uncertainty in small-n pharmacometric analyses: value of the log-likelihood profiling-based sampling importance resampling (LLP-SIR) technique
Grange et al. mixtur: An R package for designing, analysing, and modelling continuous report visual short-term memory studies
Panken et al. A simple pooling method for variable selection in multiply imputed datasets outperformed complex methods
Zhang et al. A mathematical model of performance-relevant feature interactions
Schuster et al. Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates
Pawel et al. Power priors for replication studies
Kim et al. Using R Package gesca for generalized structured component analysis
Henrich et al. The seven-parameter diffusion model: An implementation in stan for Bayesian analyses
Baker et al. Unscented Kalman filter with parameter identifiability analysis for the estimation of multiple parameters in kinetic models
Adachi Factor analysis procedures revisited from the comprehensive model with unique factors decomposed into specific factors and errors
Vinod et al. QeMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules
Wilcox Some results on estimating a Wilcoxon–Mann–Whitney measure of effect size when there are two covariates
Lago et al. A Kolmogorov–Smirnov-type test for the two-sample problem with left-truncated data
Sattler et al. Testing hypotheses about correlation matrices in general MANOVA designs
Oyamada et al. Comparison of statistical models for estimating intervention effects based on time-to-recurrent-event in stepped wedge cluster randomized trial using open cohort design