scholarly journals Reading to Learn From Online Information: Modeling the Factor Structure

2018 ◽  
Vol 50 (3) ◽  
pp. 304-334 ◽  
Author(s):  
Carita Kiili ◽  
Donald J. Leu ◽  
Jukka Utriainen ◽  
Julie Coiro ◽  
Laura Kanniainen ◽  
...  
Keyword(s):  
Student Performance ◽  
Factor Structure ◽  
Factor Model ◽  
Information Modeling ◽  
Online Research ◽  
Online Information ◽  
Online Reading ◽  
Reading To Learn ◽  
Locating Information ◽  
Main Ideas

Identifying the factor structure of online reading to learn is important for the development of theory, assessment, and instruction. Traditional comprehension models have been developed from, and for, offline reading. This study used online reading to determine an optimal factor structure for modeling online research and comprehension among 426 sixth graders (ages 12 and 13). Confirmatory factor analysis was employed to evaluate an assessment of online research and comprehension based on a widely referenced theoretical model. Student performance reflected the theoretical constructs of the model, but several additional constructs appeared, resulting in a six-factor model: (a) locating information with a search engine, (b) questioning credibility of information, (c) confirming credibility of information, (d) identifying main ideas from a single online resource, (e) synthesizing information across multiple online resources, and (f) communicating a justified, source-based position. The findings are discussed in terms of theory, assessment, and instruction.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

The Factor Structure and Measurement Invariance of Positive and Negative Affect

2016 ◽  
Vol 32 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Mohsen Joshanloo ◽  
Ali Bakhshi
Keyword(s):  
Negative Affect ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Factor Model ◽  
Positive And Negative Affect ◽  
Cultural Groups ◽  
Invariance Testing ◽  
The Usa ◽  
Scalar Invariance ◽  
Gender Groups

Abstract. This study investigated the factor structure and measurement invariance of the Mroczek and Kolarz’s scales of positive and negative affect in Iran (N = 2,391) and the USA (N = 2,154), and across gender groups. The two-factor model of affect was supported across the groups. The results of measurement invariance testing confirmed full metric and partial scalar invariance of the scales across cultural groups, and full metric and full scalar invariance across gender groups. The results of latent mean analysis revealed that Iranians scored lower on positive affect and higher on negative affect than Americans. The analyses also showed that American men scored significantly lower than American women on negative affect. The significance and implications of the results are discussed.

Factor Structure of the Hellenic WISC-III for Children with Learning Disabilities

2018 ◽  
Vol 9 (03) ◽  
pp. 20445-20451
Author(s):  
Adam A ◽  
Kiosseoglou G ◽  
Abatzoglou G ◽  
Papaligoura Z.
Keyword(s):  
Learning Disabilities ◽  
Factor Structure ◽  
Factor Model ◽  
The Other ◽  
Clinical Value ◽  
Reasoning Abilities ◽  
Picture Arrangement ◽  
Factorial Model ◽  
Verbal Subtest ◽  
Two Factors

The present research aims to examine the factor structure of the Hellenic WISC-III in a sample of 50 children with learning disabilities. The results show the existence of a factorial model with two factors, one aggregating the Comprehension verbal subtest with four performance subtests and the other the Picture Arrangement performance subtest with four verbal subtests. This two-factor model includes loadings in two factors that relate to the sequencing abilities and the verbal reasoning abilities of children. These findings assert the clinical value of the intelligence evaluation in these children.

Latent Structure of a Brief Clinical Battery of Neuropsychological Tests Administered In-Home Via Telephone

2020 ◽  
Author(s):  
Anastasia Matchanova ◽  
Michelle A Babicz ◽  
Luis D Medina ◽  
Samina Rahman ◽  
Briana Johnson ◽  
...  
Keyword(s):  
Executive Functions ◽  
Factor Structure ◽  
Neuropsychological Tests ◽  
Factor Model ◽  
Digit Span ◽  
Neuropsychological Battery ◽  
Memory And Attention ◽  
Sociodemographic Correlates ◽  
List Learning ◽  
Trail Making

Abstract Objective To examine the factor structure and sociodemographic correlates of a battery of clinical neuropsychological tests administered in-home and via telephone. Method Participants included 280 healthy adults who completed a 35–40 min battery consisting of seven auditory-verbal neuropsychological tests (i.e., 10 variables) that included digit span, list learning and memory, prospective memory, verbal fluency, and oral trail making. Results After removing oral trail making part A, a three-factor model comprised of executive functions, memory and attention demonstrated the best fit to the data. Nevertheless, the shared variance between the nine remaining neuropsychological variables was also adequately explained by a single-factor model and a two-factor model comprised of executive functions and memory. Factor scores were variably associated with education, race/ethnicity, and IQ, but not with sex or age. Conclusions Findings provide preliminary support for the feasibility and factor structure and sociodemographic correlates of a brief telephone-based screening neuropsychological battery comprised mostly of commonly administered clinical measures. Future studies are needed to determine the test–retest reliability, sensitivity, and ecological relevance of this battery, as well as equivalency to in-person assessment.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

Factor Structure of the Scales for Assessing Emotional Disturbance : 3 Rating Scale for Students Identified With Emotional Disturbance

2021 ◽  
pp. 019874292110123
Author(s):  
Matthew C. Lambert ◽  
Douglas Cullinan ◽  
Michael H. Epstein ◽  
Jodie Martin
Keyword(s):  
Internal Structure ◽  
Emotional Disturbance ◽  
Factor Structure ◽  
Rating Scale ◽  
Factor Model ◽  
Distinct Group ◽  
Considerable Proportion ◽  
Evidence Based ◽  
Validity Evidence ◽  
Common Variance

This study examined the internal structure of the Scales for Assessing Emotional Disturbance-3 Rating Scale (RS), a teacher-completed RS developed to measure emotional disturbance (ED). As defined in U.S. law and regulations, ED involves five characteristics or patterns of behavioral and emotional maladaptation. RS data obtained on a sample of students with ED were used to examine validity evidence based on the internal structure of the assessment. Of particular interest was the extent to which multivariate factors derived from the RS data conform to the five characteristics of ED stated in the definition. Results indicate that the RS data fit a 5-factor model reasonably well. A subsequent bifactor analysis identified a considerable proportion of common variance across factors, suggesting the presence of a strong general ED factor, two distinct group factors (Inability to Learn and Inappropriate Behavior), and three weak group factors. The findings provided evidence of the validity of the SAED-3 RS based on internal structure and pointed to support for use of the RS in contributing to the process of determining whether a student qualifies for the ED education disability. Implications for improved research on the nature of ED and how students with ED can be better served are discussed.

Peer learning as a tool to strengthen math skills in introductory chemistry laboratories

2018 ◽  
Vol 19 (1) ◽  
pp. 319-330 ◽  
Author(s):  
Melissa C. Srougi ◽  
Heather B. Miller
Keyword(s):  
Student Performance ◽  
Attitude Change ◽  
Student Attitudes ◽  
Peer Learning ◽  
Introductory Chemistry ◽  
Math Skills ◽  
Attrition Rates ◽  
Math Ability ◽  
Chemistry Laboratories ◽  
Main Ideas

Math skills vary greatly among students enrolled in introductory chemistry courses. Students with weak math skills (algebra and below) tend to perform poorly in introductory chemistry courses, which is correlated with increased attrition rates. Previous research has shown that retention of main ideas in a peer learning environment is greater when partners have dissimilar abilities. Therefore, in an effort to improve student learning outcomes, we implemented peer learning interventions in our introductory chemistry laboratories to determine if math skills were enhanced when partners differed in math ability. Student performance and attitudes were analyzed in laboratory sections consisting of instructor-assigned partners who differed in math ability, compared to sections where students self-selected a partner. Students who were assigned math partners of different ability showed an 8% improvement in chemistry math concepts compared to no improvement among those who self-selected a partner, as assessed using pre- and post-math tests. Mathematical learning gains were particularly large (16%) for those students in the 50th percentile of math performance. Students also reported a significantly more positive attitude change about working with others compared to students who self-selected a partner. In addition, assigned students demonstrated a more positive shift in self-concepts such as chemistry knowledge and laboratory skills. This study illustrates that peer learning can serve as a useful and easy-to-implement tool to strengthen math skills and improve student attitudes in introductory chemistry laboratories.

Exploring the Factor Structure of the Job Demands-Resources Measure With Patient Violence on Direct Care Workers in the Home Setting

2017 ◽  
Vol 25 (2) ◽  
pp. 257-274 ◽  
Author(s):  
Ha Do Byon ◽  
Donna Harrington ◽  
Carla L. Storr ◽  
Jane Lipscomb
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Job Demands ◽  
Direct Care ◽  
Direct Care Workers ◽  
Home Setting ◽  
Patient Violence ◽  
Measurement Framework ◽  
Care Workers

Background and Purpose: Workplace violence research in health care settings using the Job Demands-Resources (JD-R) framework is hindered by the lack of comprehensive examination of the factor structure of the JD-R measure when it includes patient violence. Is patient violence a component of job demands or its own factor as an occupational outcome? Method: Exploratory factor analysis and confirmatory factor analysis were conducted using a sample of direct care workers in the home setting (n = 961). Results: The overall 2-construct JD-R structure persisted. Patient violence was not identified as a separate factor from job demands; rather, two demand factors emerged: violence/emotional and workload/physical demands. Conclusions: Although the three-factor model fits the data, the two-factor model with patient violence being a component of job demands is a parsimonious and effective measurement framework.

scholarly journals 406 - Spanish validation of the Revised Memory and Behavior Problems Checklist- Nursing Homes (RMBPC-NH)

2020 ◽  
Vol 32 (S1) ◽  
pp. 122-122
Author(s):  
Gema Perez-Rojo ◽  
Javier López ◽  
Cristina Velasco ◽  
Cristina Noriega ◽  
José Ángel Martínez-Huertas ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Behavior Problems ◽  
Factor Structure ◽  
Factor Model ◽  
Reliability And Validity ◽  
Quality Of Work Life ◽  
Structure Reliability ◽  
Spanish Validation ◽  
Confirmatory Factor ◽  
And Behavior

IntroductionThe behavior problems in residents may affect professionals’ performance at work, quality of work life, and even their health. Thus, it is important to have instruments that allow to estimate their prevalence. The objective of this study was to validate the Revised Memory and Behavior Problems Checklist-Nursing Homes (RMBPC-NH; Allen et al., 2003) in a Spanish population. Specifically, it was tested the factor structure of the RMBPC-NH proposed by Wagner et al. (1995). Moreover, the relevance of the different types of problems for the working performance, at the level of individuals and institutions, was explored.MethodIn the present study, a total of 200 professionals participated.ResultsA Confirmatory Factor Analysis was conducted using WLSMV estimator in Mplus 7. Results showed a good fit to the data for the four-factor model (?2(813) = 1733.73, p<.001, CFI = .90, TIL = .90, RMSEA = .08). Thus, it can be concluded that the original factor structure proposed by Wagner et al. (1995) and replicated by Allen et al. (2003) can also be applied to Spanish staff nursing homes. The reliability of the scale was adequate (α from .86 to .93). Moreover, different descriptive and correlational results showed that both the factor scores of the Spanish adaptation of the RMBPC-NH and the importance of each type of problem were associated to different variable related.DiscussionAfter analyzing the factor structure, reliability and validity of the adaptation of the RMBPC-NH scale for Spanish staff nursing homes it has found that it has good psychometric properties, so it could be a useful tool for this population.This work was funded by the Spanish Ministry of Economy and Competitiveness (grant number PSI2016-79803-R).

Sign in / Sign up

Export Citation Format

Share Document