Using comparison data to differentiate categorical and dimensional data by examining factor score distributions: Resolving the mode problem.

2009 ◽  
Vol 21 (4) ◽  
pp. 578-594 ◽  
Author(s):  
John Ruscio ◽  
Glenn D. Walters
2007 ◽  
Vol 42 (1) ◽  
pp. 133-156 ◽  
Author(s):  
Douglas Steinley ◽  
Roderick P. McDonald

2020 ◽  
pp. 107699862095666
Author(s):  
Alina A. von Davier

In this commentary, I share my perspective on the goals of assessments in general, on linking assessments that were developed according to different specifications and for different purposes, and I propose several considerations for the authors and the readers. This brief commentary is structured around three perspectives (1) the context of this research, (2) the methodology proposed here, and (3) the consequences for applied research.


1987 ◽  
Vol 60 (3_part_2) ◽  
pp. 1115-1120
Author(s):  
Hirotsugu Yamauchi

Two relationships were examined, the relationship between the achievement-related affect and causal attributions for success or failure and the relationship between the expectancy shift and causal ascriptions for success or failure. Subjects were 417 elementary school children, 459 junior high school students, and 175 college students. Two hypothetical boys or girls who received similar marks on an examination but who attributed the results to different causes (ability, effort or luck) were described in a booklet. Subjects were asked to judge which person feels more pleasant (or unpleasant) and which person should expect the same outcome on further similar exams. The method of dual scaling was applied to the paired-comparison data for each sample. Two-dimensional solutions were extracted in the positive affect with success, the expectancy of success after success and the expectancy of failure after failure. Whereas a unidimensional solution was extracted in the negative affect with failure. Developmental shifts were found for successful outcome.


2021 ◽  
pp. 105566562098574
Author(s):  
Miriam Seifert ◽  
Amy Davies ◽  
Sam Harding ◽  
Sharynne McLeod ◽  
Yvonne Wren

Objective: To provide comparison data on the Intelligibility in Context Scale (ICS) for a sample of 3-year-old English-speaking children born with any cleft type. Design: Questionnaire data from the Cleft Collective Cohort Study were used. Descriptive and inferential statistics were carried out to determine difference according to children’s cleft type and syndromic status. Participants: A total of 412 children born with cleft lip and/or palate whose mothers had completed the ICS when their child was 3 years old. Main Outcome Measure(s): Mothers’ rating of their children’s intelligibility using the ICS. Results: The average ICS score for the total sample was 3.75 ( sometimes-usually intelligible; standard deviation [SD] = 0.76, 95% CIs = 3.68-3.83) of a possible score of 5 ( always intelligible). Children’s speech was reported to be most intelligible to their mothers (mean = 4.33, SD = 0.61, 95% CIs = 4.27-4.39) and least intelligible to strangers (mean = 3.36, SD = 1.00, 95% CIs = 3.26-3.45). There was strong evidence ( P < .001) for a difference in intelligibility between children with cleft lip only (n = 104, mean = 4.13, SD = 0.62, 95% CIs = 4.01-4.25) and children with any form of cleft palate (n = 308, mean = 3.63, SD = 0.76, 95% CIs = 3.52-3.71). Children born with cleft palate with or without cleft lip and an identified syndrome were rated as less intelligible (n = 63, mean = 3.28, SD = 0.85, 95% CIs = 3.06-3.49) compared to children who did not have a syndrome (n = 245, mean = 3.72, SD = 0.71, 95% CIs = 3.63-3.81). Conclusions: These results provide preliminary comparative data for clinical services using the outcome measures recommended by the International Consortium for Health Outcomes Measurement.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Robin Sifre ◽  
Daniel Berry ◽  
Jason J. Wolff ◽  
Jed T. Elison

Abstract Background Restricted and repetitive behaviors (RRBs) are core features of autism spectrum disorder (ASD) and one of the earliest behavioral signs of ASD. However, RRBs are also present in typically developing (TD) infants, toddlers, and preschool-aged children. Past work suggests that examining change in these behaviors over time is essential to distinguish between normative manifestations of these behaviors and behaviors that denote risk for a neurodevelopmental disorder. One challenge in examining changes in these behaviors over time is that most measures of RRBs have not established longitudinal measurement invariance. The aims of this study were to (1) establish measurement invariance in the Repetitive Behavior Scales for Early Childhood (RBS-EC), a parent-report questionnaire of RRBs, and (2) model developmental change in RRBs from 8 to 36 months. Methods We collected RBS-EC responses from parents of TD infants (n = 180) from 8 to 36 months (n = 606 responses, with participants contributing an average of 3-time points). We leverage a novel methodological approach to measurement invariance testing (Bauer, Psychological Models, 22(3), 507–526, 2017), moderated nonlinear factor analysis (MNLFA), to determine whether the RBS-EC was invariant across age and sex. We then generated adjusted factor score estimates for each subscale of the RBS-EC (repetitive motor, self-directed, and higher-order behaviors), and used linear mixed effects models to estimate between- and within-person changes in the RBS-EC over time. Results The RBS-EC showed some non-invariance as a function of age. We were able to adjust for this non-invariance in order to more accurately model changes in the RBS-EC over time. Repetitive motor and self-directed behaviors showed a linear decline from 8 to 36 months, while higher-order behaviors showed a quadratic trajectory such that they began to decline later in development at around 18 months. Using adjusted factor scores as opposed to unadjusted raw mean scores provided a number of benefits, including increased within-person variability and precision. Conclusions The RBS-EC is sensitive enough to measure the presence of RRBs in a TD sample, as well as their decline with age. Using factor score estimates of each subscale adjusted for non-invariance allowed us to more precisely estimate change in these behaviors over time.


Sign in / Sign up

Export Citation Format

Share Document