Using Curriculum-Derived Progress Monitoring Data as Part of a Response-to-Intervention Strategy: A Case Study

2006 ◽  
Vol 11 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Natasha Henley ◽  
Michael Furlong
Keyword(s):  
Response To Intervention ◽  
Progress Monitoring ◽  
Intervention Strategy ◽  
Monitoring Data

A Diagnostic Case Study of a Young Man with Russell-Silver Syndrome and Associated Comorbidities

2019 ◽  
Vol 2 (1) ◽  
pp. 12-29
Author(s):  
Boon Hock Lim ◽  
Ban Meng Lee ◽  
Benjamin Kee Kee Ern Lim ◽  
Guo Hui XIE
Keyword(s):  
Response To Intervention ◽  
Mendelian Inheritance ◽  
Diagnostic Information ◽  
Online Mendelian Inheritance ◽  
Silver Syndrome

This is a case study of a young man diagnosed with Russell-Silver Syndrome or RSS for short (Online Mendelian Inheritance in Man® Classification Number #180860) and associated comorbidities. The aim of this paper is to provide diagnostic information about the syndrome with its comorbidities so that educational therapists and other allied professionals working with such individuals will know what to look out for, especially the RSS-associated comorbidities, and in that way, they become better informed in order to know what offer in their Response to Intervention (RtI) for such individuals with RSS.

Estimating Trend in Progress Monitoring Data: A Comparison of Simple Line-Fitting Methods

1992 ◽  
Vol 21 (2) ◽  
pp. 300-312
Author(s):  
Richard Parker ◽  
Gerald Tindal ◽  
Stephanie Stein
Keyword(s):  
Progress Monitoring ◽  
Monitoring Data ◽  
Line Fitting

scholarly journals Simulated Fishing to Untangle Catchability and Availability in Fish Abundance Monitoring

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Vanessa Tobias ◽  
Keyword(s):  
San Francisco ◽  
Water Clarity ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Delta Smelt ◽  
Individual Based Simulation ◽  
The Relationship ◽  
True Population

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are the result of changing water clarity affecting catchability.

scholarly journals An assessment of factors influencing empowerment levels of females: a case study of Pokhara

2012 ◽  
pp. 1-8
Author(s):  
Arjun Kumar Thapa ◽  
Leena Gurung
Keyword(s):  
Work Experience ◽  
Service Providers ◽  
Economic Status ◽  
Intervention Strategy ◽  
Demographic Factors ◽  
Positive Influence ◽  
Cross Sectional ◽  
Heated Debate ◽  
Condition Of Women

This study is an attempt to analyze the association between social, economic and demographic factors on the female teachers’ empowerment level. A cross?sectional data was generated following two stage random sampling. First 20 schools were selected then 189 respondents were randomly selected and interviewed. In this study rather than women’s age, age at marriage, work experience and husband’s education and occupation, women’s self achievement to earn more income, economic status and positive attitude towards job have positive influence in enhancing empowerment. This study underpins the importance of economic interventions to empower and uplift all round condition of women. Along with it this paper again stirs the most heated debate among the activist, academicians and service providers regarding appropriate intervention strategy for upliftment of women.Key words: Empowerment; Women; Economic; Social and demographic factors; PokharaEconomic Journal of Development IssuesVol. 11 & 12 No. 1-2 (2010) Combined IssuePage: 1-8Uploaded date: 10 April, 2012

scholarly journals Simulated Fishing to Untangle Catchability and Availability in Fish Abundance Monitoring

2021 ◽  
Author(s):  
Vanessa Tobias
Keyword(s):  
San Francisco ◽  
Water Clarity ◽  
Ecological Monitoring ◽  
Monitoring Data ◽  
Delta Smelt ◽  
Individual Based Simulation ◽  
The Relationship ◽  
True Population

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear that is used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well-monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are due to an effect of changing water clarity on catchability.

scholarly journals Pre-service Teachers’ Interpretation of CBM Progress Monitoring Data

2017 ◽  
Vol 32 (1) ◽  
pp. 22-31 ◽  
Author(s):  
Dana L. Wagner ◽  
Stephanie M. Hammerschmidt-Snidarich ◽  
Christine A. Espin ◽  
Kathleen Seifert ◽  
Kristen L. McMaster
Keyword(s):  
Progress Monitoring ◽  
Monitoring Data

Selection of indicator species for State of the Environment reporting: A case study from New Zealand

2010 ◽  
Vol 16 (2) ◽  
pp. 76 ◽  
Author(s):  
Joanne M. Hoare ◽  
Colin F. J. O’Donnell ◽  
Elaine F. Wright
Keyword(s):  
New Zealand ◽  
Indicator Species ◽  
Species Concepts ◽  
Monitoring Data ◽  
Environmental Reporting ◽  
Environmental Attributes ◽  
State Of The Environment ◽  
Selection Of

Indicator species approaches are widely used in conservation as a shortcut to measuring attributes of species and ecosystems. A variety of indicator species concepts are in use and are applicable to a range of situations. Indicator species are increasingly being used in environmental reporting to evaluate trends in environmental attributes quantitatively. We use the most recent State of the Environment report from New Zealand as a case study to evaluate: (1) how indicator species concepts are being applied to environmental reporting and (2) the selection of individual species as indicators. At present indicator species used in environmental reporting in New Zealand reflect biases in national monitoring data towards forest-dwelling, terrestrial vertebrates that are vulnerable to predation by introduced mammals. Scientific literature generally supports links between selected taxa and the aspect of ecosystem health they are purported to indicate, but their roles as long-term indicators of environmental health have yet to be evaluated. A primary goal of State of the Environment reporting is to set a benchmark against which environmental outcomes can be monitored over time; thus it is recognized that taxa reported should represent a broader range of environmental attributes. However, selection of taxa for environmental reporting is severely constrained by limited national species monitoring data. A strategic approach to national measurement, storage and analysis of long-term monitoring data is required to support selection of representative species for environmental reporting. We support current initiatives to select taxa for future measurement and reporting in an objective, transparent manner and recommend that they encompass representation of: (1) taxonomic diversity, (2) ecosystem types, (3) key environmental pressures and (4) threat status.

Response to Intervention

Education ◽  
2013 ◽  
Author(s):  
Amy Eppolito ◽  
Kathryn White ◽  
Janette Klingner
Keyword(s):  
Decision Making ◽  
Special Education ◽  
Learning Disabilities ◽  
Response To Intervention ◽  
General Education ◽  
Progress Monitoring ◽  
The United States ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Rti Model

Response to intervention (RTI) is a comprehensive, systematic approach to teaching and learning designed to monitor academic and behavioral progress for all students, provide early interventions of increasing intensity to struggling learners, and potentially identify learners with more significant learning disabilities. The model is implemented with multitiered instruction, intervention, and assessment. The key components of the RTI model include (1) high-quality instruction matched to the needs of students, (2) evidence-based interventions of increasing intensity, (3) ongoing progress monitoring, and (4) data-driven decision making. Components of the model, such as data-driven decision making and multitiered instruction, have been studied for the past few decades, but the model as an integrated whole has been developed more recently. One catalyst for increased research and interest in RTI has been a change in federal legislation in the United States. The most recent reauthorization of the Individuals with Disabilities Education Improvement Act (IDEA) in 2004 permits the RTI model to be implemented as an alternative means to identify students with learning disabilities (LDs). These amendments to IDEA stipulate that the RTI process may be used to determine if a child is responding to research-based instruction and intervention as part of the special education evaluation process. Although driven by special education policy, RTI has been lauded as an instructional model that can improve general education overall and for special populations. However, critiques of the model argue that it has been implemented with limited research, resources, and funding and may not be valid for identifying LDs. Some experts question the psychometric validity of the model and promote using multiple forms of assessment, including more traditional standardized psycho-educational tests, in combination with RTI when evaluating students for possible LDs.

Sign in / Sign up

Export Citation Format

Share Document