Detalhe da pesquisa
1.
Sample size planning for complex study designs: A tutorial for the mlpwr package.
Behav Res Methods
; 2023 Nov 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-38030925
2.
Development and validation of a patient-reported outcome measure for systemic sclerosis: the EULAR Systemic Sclerosis Impact of Disease (ScleroID) questionnaire.
Ann Rheum Dis
; 81(4): 507-515, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34824049
3.
Engagement With a Mobile Phone-Based Life Skills Intervention for Adolescents and Its Association With Participant Characteristics and Outcomes: Tree-Based Analysis.
J Med Internet Res
; 24(1): e28638, 2022 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-35044309
4.
An R toolbox for score-based measurement invariance tests in IRT models.
Behav Res Methods
; 54(5): 2101-2113, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34918222
5.
With a little help from familiar interlocutors: real-world language use in young and older adults.
Aging Ment Health
; 25(12): 2310-2319, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32981344
6.
Model Selection of Nested and Non-Nested Item Response Models Using Vuong Tests.
Multivariate Behav Res
; 55(5): 664-684, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31530187
7.
Publisher Correction: Sample size planning for complex study designs: A tutorial for the mlpwr package.
Behav Res Methods
; 2023 Dec 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-38091209
8.
Simulation-based design optimization for statistical power: Utilizing machine learning.
Psychol Methods
; 2023 Dec 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-38095992
9.
A New Stopping Criterion for Rasch Trees Based on the Mantel-Haenszel Effect Size Measure for Differential Item Functioning.
Educ Psychol Meas
; 83(1): 181-212, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-36601252
10.
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT.
Psychometrika
; 88(4): 1249-1298, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-36029390
11.
What Affects the Quality of Score Transformations? Potential Issues in True-Score Equating Using the Partial Credit Model.
Educ Psychol Meas
; 83(6): 1249-1290, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37970488
12.
Interpretable machine learning for psychological research: Opportunities and pitfalls.
Psychol Methods
; 2023 May 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-37227894
13.
Score-based measurement invariance checks for Bayesian maximum-a-posteriori estimates in item response theory.
Br J Math Stat Psychol
; 75(3): 728-752, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35670000
14.
Testing the Local Independence Assumption of the Rasch Model With Q 3-Based Nonparametric Model Tests.
Appl Psychol Meas
; 44(2): 103-117, 2020 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-32076355
15.
Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models.
Educ Psychol Meas
; 79(2): 385-398, 2019 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-30911198
16.
An Evaluation of Overall Goodness-of-Fit Tests for the Rasch Model.
Front Psychol
; 9: 2710, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30687170
17.
Psychobiological Protective Factors Modifying the Association Between Age and Sexual Health in Men: Findings From the Men's Health 40+ Study.
Am J Mens Health
; 11(3): 737-747, 2017 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-28413941
18.
Comparing the Effects of Different Smoothing Algorithms on the Assessment of Dimensionality of Ordered Categorical Items with Parallel Analysis.
PLoS One
; 11(2): e0148143, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-26845032
19.
Assessment of planning ability: Psychometric analyses on the unidimensionality and construct validity of the Tower of London Task (TOL-F).
Neuropsychology
; 30(3): 346-360, 2016 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-26523519
20.
Assessing Planning Ability Across the Adult Life Span: Population-Representative and Age-Adjusted Reliability Estimates for the Tower of London (TOL-F).
Arch Clin Neuropsychol
; 31(2): 148-64, 2016 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-26715472