Developing a shortened version of the dementia knowledge assessment scale (DKAS-TC) with a sample in Taiwan: an item response theory approach.

BACKGROUND: The 25-item Dementia Knowledge Assessment Scale (DKAS2) is a widely used tool for measuring knowledge of dementia. To increase the applicability of the Chinese-language version of the tool (DKAS-TC) for the general public, this study aimed to develop a shortened version using the item response theory (IRT) approach. METHODS: A total of 401 participants voluntarily completed a Chinese-language version of the DKAS2 questionnaire (DKAS-TC) at the start of dementia awareness training courses in 2020 and 2021. The four Rasch family models were used to analyze the dimensionality of the shortened scale (the DKAS-s) and to confirm its accuracy in measuring dementia knowledge. RESULTS: The results justified supported the use of a dichotomous response scale for responding to the DKAS-s and demonstrated good fit of the data to a Rasch model with the four dimensions of "Causes and Characteristics", "Communication and Engagement", "Care Needs", and "Risks and Health Promotion". Moreover, we shortened the DKAS-TC by selecting items that had both above-average discriminative ability and above-average information. The DKAS-s retained 64.13% of the information contained in the DKAS-TC, resulting in a 16-item scale which retained four items in each of the original four dimensions. The DKAS-s also correlated highly (≥0.95) with the DKAS-TC and exhibited a sizeable range of difficulty of dementia knowledge. CONCLUSIONS: The DKAS-s is expected to be more efficient in field settings while retaining an acceptable level of psychometric properties when used as a survey instrument to measure the general public's knowledge of dementia.

Development and validation of the prenatal activity restriction stress questionnaire: a Rasch rating scale analysis.

BACKGROUND: Antepartum activity restriction (AAR) is a common recommendation given to women at risk for preterm delivery. However, such treatment has been shown to cause heavy emotional burdens on the women receiving it since it requires them to face many challenges derived from the intervention. Nevertheless, current existing scales lack effective items that can reflect the distress of these women. The aim of this study was to develop a reliable instrument to assess the distress of women experiencing AAR. METHOD: The Prenatal Activity Restriction Stress Questionnaire (PARSQ) was developed according to comprehensive literature review, women's interviews, and existing pregnancy-special stress scales from August 2016 to July 2017 in southern Taiwan. Six experts evaluated its content validity; the Rasch rating scale model (RSM) was used to examine its item-fit, dimensionality, and reliability with 200 women with AAR experience. Furthermore, the concurrent validity was assessed through computing the correlation of AAR women's scores on the PARSQ and Perceived Stress Scale (PSS), and discriminant validity of the PARSQ was assessed to compare the scores' differences between the AAR women and the healthy pregnant women. RESULTS: The PARSQ was constructed with 23 items in the 4-dimensional scale: Role function changes (8 items), Fetal safety and health (5 items), Physical and psychological care issues (5 items), and Socioeconomic and medical issues (5 items). It was confirmed to have satisfactory content vitality (CVI = 0.78 to 1.0), reasonable item-fit (0.77 to 1.51), and good reliability in RSM model, as well as adequate concurrent validity (p = 0.005) and discriminant validity (p < 0.001). CONCLUSIONS: Understanding the distress of women undergoing AAR is necessary for developing appropriate prenatal care to assist women in coping with their situation to alleviate their emotional burdens. The developed PARSQ with satisfied psychometric properties can be an informative instrument for clinicians/researchers to assess the specific stress of pregnant women with AAR.

A Sequential Process Model for Cognitive Diagnostic Assessment With Repeated Attempts.

When diagnostic assessments are administered to examinees, the mastery status of each examinee on a set of specified cognitive skills or attributes can be directly evaluated using cognitive diagnosis models (CDMs). Under certain circumstances, allowing the examinees to have at least one opportunity to correctly answer the questions and assessments, with repeated attempts on the items, provides many potential benefits. A sequential process model can be extended to model repeated attempts in diagnostic assessments. Two formulations of the sequential generalized deterministic-input noisy-"and"-gate (G-DINA) model were developed in this study. The first extension uses the latent transition analysis (LTA) approach to model changes in the attributes over attempts, and the second extension constructs a higher order structure of latent continuous variables and latent attributes to account for the dependences of the attributes over attempts. Accurate model parameter estimation and correct classifications of attributes were observed in a series of simulations using Bayesian estimation. The effectiveness of the developed sequential G-DINA model was demonstrated by fitting real data from a longitudinal mathematical test to the developed model and the longitudinal G-DINA model using the LTA approach. Finally, this article closes by discussing several important issues associated with the developed models and providing suggestions for future directions.