The British Journal of Mathematical and Statistical Psychology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models
Br J Math Stat Psychol. 2024 Feb 26. doi: 10.1111/bmsp.12338. Online ahead of print.ABSTRACTA sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of controlling the confidence interval width of the prevalence of a sensitive attribute under four non-randomized response models: the crosswise model, parallel model, Poisson item count technique model and negative binomial item count technique model. In contrast to the conventional approach for sample s...
Source: The British Journal of Mathematical and Statistical Psychology - February 27, 2024 Category: Statistics Authors: Shi-Fang Qiu Jie Lei Wai-Yin Poon Man-Lai Tang Ricky S Wong Ji-Ran Tao Source Type: research

Assessment of fit of the time-varying dynamic partial credit model using the posterior predictive model checking method
Br J Math Stat Psychol. 2024 Feb 21. doi: 10.1111/bmsp.12339. Online ahead of print.ABSTRACTSeveral new models based on item response theory have recently been suggested to analyse intensive longitudinal data. One of these new models is the time-varying dynamic partial credit model (TV-DPCM; Castro-Alvarez et al., Multivariate Behavioral Research, 2023, 1), which is a combination of the partial credit model and the time-varying autoregressive model. The model allows the study of the psychometric properties of the items and the modelling of nonlinear trends at the latent state level. However, there is a severe lack of tools...
Source: The British Journal of Mathematical and Statistical Psychology - February 21, 2024 Category: Statistics Authors: Sebastian Castro-Alvarez Sandip Sinharay Laura F Bringmann Rob R Meijer Jorge N Tendeiro Source Type: research

When and how to use set-exploratory structural equation modelling to test structural models: A tutorial using the R package lavaan
Br J Math Stat Psychol. 2024 Feb 15. doi: 10.1111/bmsp.12336. Online ahead of print.ABSTRACTExploratory structural equation modelling (ESEM) is an alternative to the well-known method of confirmatory factor analysis (CFA). ESEM is mainly used to assess the quality of measurement models of common factors but can be efficiently extended to test structural models. However, ESEM may not be the best option in some model specifications, especially when structural models are involved, because the full flexibility of ESEM could result in technical difficulties in model estimation. Thus, set-ESEM was developed to accommodate the ba...
Source: The British Journal of Mathematical and Statistical Psychology - February 16, 2024 Category: Statistics Authors: Herb Marsh Abdullah Alamer Source Type: research