The following pages link to Psychometrika (Q58461):
Displaying 50 items.
- A Hierarchical Model for Accuracy and Choice on Standardized Tests (Q114394) (← links)
- Psychometric network models from time-series and panel data (Q119757) (← links)
- A Recursive Partitioning Method for the Prediction of Preference Rankings Based Upon Kemeny Distances (Q121037) (← links)
- Inferring the Number of Attributes for the Exploratory DINA Model (Q123473) (← links)
- A Sparse Latent Class Model for Cognitive Diagnosis (Q123476) (← links)
- An Exploratory Diagnostic Model for Ordinal Responses with Binary Attributes: Identifiability and Estimation (Q123477) (← links)
- Estimating the Cognitive Diagnosis $$\varvec{Q}$$ Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset (Q123478) (← links)
- Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection (Q123685) (← links)
- Metric Transformations and the Filtered Monotonic Polynomial Item Response Model (Q123889) (← links)
- A numerical approach to the approximate and the exact minimum rank of a covariance matrix (Q124811) (← links)
- Sample Size Determination Within the Scope of Conditional Maximum Likelihood Estimation with Special Focus on Testing the Rasch Model (Q126884) (← links)
- Flexible Utility Function Approximation via Cubic Bezier Splines (Q129581) (← links)
- Joint Latent Space Model for Social Networks with Multivariate Attributes (Q129793) (← links)
- Power Analysis and Sample Size Planning in ANCOVA Designs (Q129961) (← links)
- Network Trees: A Method for Recursively Partitioning Covariance Structures (Q130609) (← links)
- Comparing Latent Means Without Mean Structure Models: A Projection-Based Approach (Q131818) (← links)
- A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models (Q131873) (← links)
- A Note on Exploratory Item Factor Analysis by Singular Value Decomposition (Q134897) (← links)
- A Penalty Approach to Differential Item Functioning in Rasch Models (Q137184) (← links)
- Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis (Q137335) (← links)
- Bayesian Estimation of the DINA Q matrix (Q139353) (← links)
- Taxicab Correspondence Analysis (Q141964) (← links)
- Revisiting the 4-Parameter Item Response Model: Bayesian Estimation and Application (Q143356) (← links)
- Tests of Matrix Structure for Construct Validation (Q144352) (← links)
- Generalized Network Psychometrics: Combining Network and Latent Variable Models (Q144709) (← links)
- The regression trunk approach to discover treatment covariate interaction (Q144979) (← links)
- Simulation-Extrapolation with Latent Heteroskedastic Error Variance (Q148470) (← links)
- A scaled difference chi-square test statistic for moment structure analysis (Q150685) (← links)
- Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic (Q150686) (← links)
- Cluster Analysis for Cognitive Diagnosis: Theory and Applications (Q150784) (← links)
- Note on the sampling error of the difference between correlated proportions or percentages (Q151724) (← links)
- Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic (Q151733) (← links)
- Correlation in a singly truncated bivariate normal distribution (Q151799) (← links)
- Semiparametric Factor Analysis for Item-Level Response Time Data (Q160109) (← links)
- Consistency of cluster analysis for cognitive diagnosis: the reduced reparameterized unified model and the general diagnostic model (Q316706) (← links)
- Biclustering models for two-mode ordinal data (Q316711) (← links)
- Identifiability of diagnostic classification models (Q316714) (← links)
- Linking item response model parameters (Q316717) (← links)
- A new online calibration method for multidimensional computerized adaptive testing (Q316719) (← links)
- Factor analysis models via I-divergence optimization (Q316720) (← links)
- Item-focussed trees for the identification of items in differential item functioning (Q316723) (← links)
- Raw data maximum likelihood estimation for common principal component models: a state space approach (Q316724) (← links)
- A recursive partitioning method for the prediction of preference rankings based upon Kemeny distances (Q316726) (← links)
- A note on the linearly and quadratically weighted kappa coefficients (Q316728) (← links)
- Comparing latent means without mean structure models: a projection-based approach (Q316731) (← links)
- An autoregressive growth model for longitudinal item analysis (Q316734) (← links)
- A finite mixture of nonlinear random coefficient models for continuous repeated measures data (Q316738) (← links)
- Portfolio decisions and brain reactions via the CEAD method (Q316742) (← links)
- Remembering Lyle V. Jones (1924--2016) (Q316744) (← links)
- A general method of empirical Q-matrix validation (Q316746) (← links)
