Visual Analysis Plus Hierarchical Linear Model Regressions: Morphosyntax Intervention with Deaf-and-Hard-of-Hearing Students

2021 ◽  
pp. 152574012110262
Author(s):  
Janna Hasko ◽  
M. Christina Rivera ◽  
Monica K. Erbacher ◽  
Shirin D. Antia
Keyword(s):  
Pilot Study ◽  
Linear Model ◽  
Hard Of Hearing ◽  
Visual Analysis ◽  
Single Case ◽  
Hierarchical Linear Model ◽  
First Grade ◽  
Regression Analyses ◽  
School Year ◽  
Designed Materials

We conducted a pilot study using intentional teaching strategies with specially designed materials to improve accuracy and production of targeted English morphosyntax structures with six deaf and hard-of-hearing students (kindergarten to first grade). A multiple baseline single-case research design (SCRD) consisting of 20-minute sessions four times per week for the duration of a school year was implemented to determine the effect of the supplemental syntax curriculum. The data were inconsistent and highly variable. Visual analyses were problematic; therefore, hierarchical linear model (HLM) regression analyses were conducted with the time series SCRD data as an additional analysis. HLM regression analyses were used to interpret data that might otherwise be overlooked in SCRDs to provide specific values for the rate students were learning during the intervention phase of the study. This pilot study demonstrates that the syntax intervention produces promising results when data that are too messy for visual analysis are analyzed with HLM.

A Pilot Study of Early Storybook Reading With Babies With Hearing Loss

2019 ◽  
Vol 62 (9) ◽  
pp. 3397-3412
Author(s):  
Michelle I. Brown ◽  
David Trembath ◽  
Marleen F. Westerveld ◽  
Gail T. Gillon
Keyword(s):  
Hearing Loss ◽  
Pilot Study ◽  
Visual Analysis ◽  
Single Case ◽  
Eye Contact ◽  
Preliminary Evidence ◽  
Storybook Reading ◽  
Book Selection ◽  
Turn Taking ◽  
Parent Child

Purpose This pilot study explored the effectiveness of an early storybook reading (ESR) intervention for parents with babies with hearing loss (HL) for improving (a) parents' book selection skills, (b) parent–child eye contact, and (c) parent–child turn-taking. Advancing research into ESR, this study examined whether the benefits from an ESR intervention reported for babies without HL were also observed in babies with HL. Method Four mother–baby dyads participated in a multiple baseline single-case experimental design across behaviors. Treatment effects for parents' book selection skills, parent–child eye contact, and parent–child turn-taking were examined using visual analysis and Tau-U analysis. Results Statistically significant increases, with large to very large effect sizes, were observed for all 4 participants for parent–child eye contact and parent–child turn-taking. Limited improvements with ceiling effects were observed for parents' book selection skills. Conclusion The findings provide preliminary evidence for the effectiveness of an ESR intervention for babies with HL for promoting parent–child interactions through eye contact and turn-taking.

Universal Screening in Mathematics for Spanish Students in First Grade

2020 ◽  
pp. 073194872090327
Author(s):  
Sara C. de León ◽  
Juan E. Jiménez ◽  
Eduardo García ◽  
Nuria Gutiérrez ◽  
Verónica Gil
Keyword(s):  
First Graders ◽  
Mathematics Learning ◽  
Hierarchical Linear Model ◽  
First Grade ◽  
Receiver Operating Curve ◽  
Composite Measure ◽  
Single Digit ◽  
Risk Status ◽  
School Year ◽  
Receiver Operating Curve Analysis

The main purpose of this study was to validate the curriculum-based measure Indicadores de Progreso de Aprendizaje en Matemáticas (IPAM [Indicators of Basic Early Math Skills]) in a local, Spanish-speaking context. This tool has been designed to identify first-grade students at risk for mathematics learning disabilities. The IPAM includes five measures (i.e., quantity discrimination, multi-digit computation, missing number, single-digit computation, and place value), which were analyzed as single measures and as part of a composite measure. In this study, 176 first graders were administered the curriculum-based measurement IPAM at the beginning, middle, and end of the school year. The results showed that the composite measure of the IPAM was the best indicator of risk status. Reliability and concurrent and predictive validity results were adequate. Furthermore, receiver operating curve analysis and hierarchical linear model supported the capacity of the IPAM to correctly identify students’ risk status and growth rate during first grade.

CSMP: A New Alternative in Elementary School Mathematics

1980 ◽  
Vol 27 (6) ◽  
pp. 20-26
Author(s):  
Ernest Woodward
Keyword(s):  
Elementary School ◽  
Pilot Study ◽  
District Of Columbia ◽  
First Grade ◽  
School Mathematics ◽  
School Students ◽  
Final Version ◽  
Elementary School Mathematics ◽  
School Year ◽  
Mathematics Program

The Comprehensive School Mathematics Program (CSMP) is in the eighth year of the pilot study of its elementary school mathematics program. For the first two years, only elementary schools in the area of Carbondale, Illinois, were involved. In the extended pilot study, approximately 170 schools in eighteen states and the District of Columbia, with over one thousand teachers and over thirty thousand elementary school students have participated. For the extended pilot schools, sequential materials are available for grades kindergarten through four. Sequential materials for grades five and six were planned for use in the falls of 1978 and of 1979, respectively. Thirdand fourth-grade entry programs also have been completed for students who have not previously studied from CSMP. CSMP is asking teachers to evaluate its program and is revising as a result of teacher feedback. The final version of the kindergarten materials was completed in the fa ll of 1976. Completion of the final version of the first-grade materials was scheduled for the 1978 79 school year, with the materials for other grades to be completed one grade at a time on an annual basis.

A Multisite Randomized Controlled Trial of the Effectiveness of Descubriendo la Lectura

2019 ◽  
Vol 57 (5) ◽  
pp. 1995-2020
Author(s):  
Geoffrey D. Borman ◽  
Trisha H. Borman ◽  
So Jung Park ◽  
Scott Houghton
Keyword(s):  
Randomized Controlled Trial ◽  
First Graders ◽  
Controlled Trial ◽  
Hierarchical Linear Model ◽  
First Grade ◽  
Literacy Skills ◽  
Randomized Controlled ◽  
Literacy Outcomes ◽  
School Year ◽  
Descubriendo La Lectura

We present findings from a randomized controlled trial of Descubriendo la Lectura (DLL), an intervention designed to improve the literacy skills of Spanish-speaking first graders, who are struggling with reading. DLL offers one-on-one native language literacy instruction for 12 to 20 weeks to each school’s lowest performing first-graders. Examining literacy outcomes for 187 students, hierarchical linear model analyses revealed statistically significant effects of student-level assignment to DLL on all 9 outcomes evaluated. Impacts were as large as 1.24 standard deviations, or a learning advantage relative to controls exceeding a full school year of achievement growth. The mean effect size of d = 0.66 across the nine literacy measures is equal to approximately two thirds of the overall literacy growth that occurs across the first-grade year.

Developing Scramble-Based Learning Method to Increase Students’ Reading and Writing Comprehension

2019 ◽  
Vol 2 (1) ◽  
pp. 16
Author(s):  
Dani Gunawan
Keyword(s):  
Pilot Study ◽  
Elementary Students ◽  
First Grade ◽  
Learning Method ◽  
Reading And Writing ◽  
Learning Technique ◽  
Increasing Trend

This study was directed to develop a learning technique, to analyze the obstacles faced by teachers in implementing the lesson, and to overcome the problems faced by teachers in enhancing elementary students’ reading and writing comprehension. In order to fulfill the mentioned goals, this study tried to use scramble-based learning technique. It was cconducted at SDN Gentra Masekdas 1, Kecamatan Tarogong Kaler involving 32 first grade students. A pilot study was conducted on 9 March 2017 for about 35 minutes. The first cycle started on 18 April 2017, while the second one was on 24 April 2017. It was found that there was an increasing trend after the implementation. The analysis proccess generated data as followed: during pilot study, eight students succeeded to reach the standard indicator with percentage of 25%. Cycle I generated 15 students with learning completion percentage of 46.8.%. And, during second cycle, there were 27 students who succeeded in reaching completion standard with completion percentage of 84.3%.

Justifying the data analytical choice in single case research in relation to the expected data pattern

2019 ◽  
Author(s):  
Rumen Manolov
Keyword(s):  
Data Analysis ◽  
Visual Analysis ◽  
Multilevel Models ◽  
Single Case ◽  
Analytical Techniques ◽  
Real Data ◽  
Small Scale ◽  
Data User ◽  
Single Case Research ◽  
User Friendly

The lack of consensus regarding the most appropriate analytical techniques for single-case experimental designs data requires justifying the choice of any specific analytical option. The current text mentions some of the arguments, provided by methodologists and statisticians, in favor of several analytical techniques. Additionally, a small-scale literature review is performed in order to explore if and how applied researchers justify the analytical choices that they make. The review suggests that certain practices are not sufficiently explained. In order to improve the reporting regarding the data analytical decisions, it is proposed to choose and justify the data analytical approach prior to gathering the data. As a possible justification for data analysis plan, we propose using as a basis the expected the data pattern (specifically, the expectation about an improving baseline trend and about the immediate or progressive nature of the intervention effect). Although there are multiple alternatives for single-case data analysis, the current text focuses on visual analysis and multilevel models and illustrates an application of these analytical options with real data. User-friendly software is also developed.

Integrating Visual and Bayesian Statistical Analyses in Single Case Experimental Research to Evaluate the Effectiveness and Magnitude of a Comprehensive Behavioral Intervention

2018 ◽  
Author(s):  
Prathiba Natesan ◽  
Smita Mehta
Keyword(s):  
Behavioral Intervention ◽  
Effect Size ◽  
Rate Ratio ◽  
Visual Analysis ◽  
Single Case ◽  
Small Sample ◽  
Statistical Analyses ◽  
Data Types ◽  
Ratio Effect ◽  
Small Sample Sizes

Single case experimental designs (SCEDs) have become an indispensable methodology where randomized control trials may be impossible or even inappropriate. However, the nature of SCED data presents challenges for both visual and statistical analyses. Small sample sizes, autocorrelations, data types, and design types render many parametric statistical analyses and maximum likelihood approaches ineffective. The presence of autocorrelation decreases interrater reliability in visual analysis. The purpose of the present study is to demonstrate a newly developed model called the Bayesian unknown change-point (BUCP) model which overcomes all the above-mentioned data analytic challenges. This is the first study to formulate and demonstrate rate ratio effect size for autocorrelated data, which has remained an open question in SCED research until now. This expository study also compares and contrasts the results from BUCP model with visual analysis, and rate ratio effect size with nonoverlap of all pairs (NAP) effect size. Data from a comprehensive behavioral intervention are used for the demonstration.

Comparing the transfer effects of three nonpharmacological interventions in children with AD/HD: a single-case experimental design

2020 ◽  
Author(s):  
Da-Wei Zhang ◽  
Stuart J. Johnstone ◽  
Hui Li ◽  
Xiangsheng Li ◽  
Li Sun
Keyword(s):  
Experimental Design ◽  
Visual Analysis ◽  
Single Case ◽  
Multiple Baseline ◽  
Neurofeedback Training ◽  
Transfer Effects ◽  
Baseline Phase ◽  
Intervention Phase ◽  
Inhibitory Function ◽  
Home Training

The current study used behavioral and electroencephalograph measures to compare the transferability of cognitive training (CT), neurofeedback training (NFT), and CT combined with NFT in children with AD/HD. Following a multiple-baseline single-case experimental design, twelve children were randomized to a training condition. Each child completed a baseline phase, followed by an intervention phase. The intervention phase consisted of 20 sessions of at-home training. Tau-U analysis and standardized visual analysis were adopted to detect effects. CT improved inhibitory function, and NFT showed improved alpha activity and working memory. The combined condition, who was a reduced 'dose' of CT and NFT, did not show any improvements. The three conditions did not alleviate AD/HD symptoms. While CT and NFT may have near transfer effects, considering the lack of improvement in symptoms, this study does not support CT and NFT on their own as a treatment for children with AD/HD.

scholarly journals Creatine Supplementation for Patients with Inflammatory Bowl Diseases: A Scientific Rationale for a Clinical Trial

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1429
Author(s):  
Theo Wallimann ◽  
Caroline H. T. Hall ◽  
Sean P. Colgan ◽  
Louise E. Glover
Keyword(s):  
Ulcerative Colitis ◽  
Clinical Trial ◽  
Crohn’S Disease ◽  
Pilot Study ◽  
Crohn's Disease ◽  
Single Case ◽  
Initial Period ◽  
Creatine Supplementation

Based on theoretical considerations, experimental data with cells in vitro, animal studies in vivo, as well as a single case pilot study with one colitis patient, a consolidated hypothesis can be put forward, stating that “oral supplementation with creatine monohydrate (Cr), a pleiotropic cellular energy precursor, is likely to be effective in inducing a favorable response and/or remission in patients with inflammatory bowel diseases (IBD), like ulcerative colitis and/or Crohn’s disease”. A current pilot clinical trial that incorporates the use of oral Cr at a dose of 2 × 7 g per day, over an initial period of 2 months in conjunction with ongoing therapies (NCT02463305) will be informative for the proposed larger, more long-term Cr supplementation study of 2 × 3–5 g of Cr per day for a time of 3–6 months. This strategy should be insightful to the potential for Cr in reducing or alleviating the symptoms of IBD. Supplementation with chemically pure Cr, a natural nutritional supplement, is well tolerated not only by healthy subjects, but also by patients with diverse neuromuscular diseases. If the outcome of such a clinical pilot study with Cr as monotherapy or in conjunction with metformin were positive, oral Cr supplementation could then be used in the future as potentially useful adjuvant therapeutic intervention for patients with IBD, preferably together with standard medication used for treating patients with chronic ulcerative colitis and/or Crohn’s disease.

Sign in / Sign up

Export Citation Format

Share Document