Data Dilemma: Response and Measurement Units for Teachers of the Severely Handicapped

AAESPH Review ◽  
1976 ◽  
Vol 1 (5) ◽  
pp. 13-31 ◽  
Author(s):  
Kathleen Liberty
Keyword(s):  
Data Collection ◽  
Learning Stage ◽  
Handicapped Children ◽  
School Population ◽  
Data Collection And Analysis ◽  
Severely Handicapped ◽  
Measurement Units ◽  
Special Children ◽  
Specific Learning

Systems for data collection and analysis have been developed to help teachers systematically specialize and individualize their instruction for special children. The appearance of severely and profoundly handicapped children as regular members of the school population has led to questions concerning the applicability of traditional response and measurement units to this population. A review of units used by researchers with the severely handicapped was conducted. A discussion of the applicability of the various response units (e.g., percent) in reference to the desired effects of instruction or intervention and in regard to the specific learning stage are discussed. The author concludes that a careful application of traditional units with some reservations may prove effective for teachers of the severely handicapped.

Collecting Trial-by-Trial Data on Severely Handicapped Children with the Aid of a Microprocessor

1978 ◽  
Vol 2 (2) ◽  
pp. 22-27 ◽  
Author(s):  
Joel R. Arick ◽  
David A. Krug ◽  
John Rathkey ◽  
Stephen Flax
Keyword(s):  
Data Collection ◽  
Trial Data ◽  
Collection System ◽  
Automated Data Collection ◽  
Handicapped Children ◽  
Data Collection System ◽  
Severely Handicapped

Continuous paper-pencil data collection and summarizing time was monitored and compared with an automated data collection system made possible by a microprocessor computer. Fifteen autistic and/or severely handicapped students ranging in age from four years to fourteen years participated in the study. The automated data collection system was found to be significantly faster and more precise than the conventional paper-pencil recording of individual trials and summarization of trials.

Development of a DNP measurement grid to increase the rigor of doctor of nursing practice students' data collection and analysis methods

2020 ◽  
Vol 36 (6) ◽  
pp. 666-672
Author(s):  
Linda L. Costa ◽  
Debra Bingham ◽  
Carla L. Storr ◽  
Margaret Hammersla ◽  
Jeffrey Martin ◽  
...  
Keyword(s):  
Data Collection ◽  
Nursing Practice ◽  
Doctor Of Nursing Practice ◽  
Analysis Methods ◽  
Data Collection And Analysis

scholarly journals Loneliness Among the Elderly in Rural Contexts: A Mixed-Method Study Protocol

2021 ◽  
Vol 20 ◽  
pp. 160940692199686
Author(s):  
Borja Rivero Jiménez ◽  
David Conde-Caballero ◽  
Lorenzo Mariano Juárez
Keyword(s):  
Data Collection ◽  
Mixed Method ◽  
Rural Areas ◽  
Population Group ◽  
The Elderly ◽  
Interaction Patterns ◽  
Structured Interviews ◽  
Strict Adherence ◽  
Data Collection And Analysis ◽  
Technological Tools

Loneliness among the elderly has become a pressing issue in Western societies. In the Spanish context, the problem of the so-called “empty” Spain disproportionately affects this population group—elderly individuals living in rural areas with low population density, and therefore at higher risk of social exclusion and isolation. We introduce here a mixed-method, quantitative-qualitative research protocol, triangulated with technological tools, designed to improve both data acquisition and subsequent data analysis and interpretation. This study will take place in a rural locality in the Extremadura region (Spain), chosen according to a particular socio-demographic profile. The De Jong Gierveld Loneliness Scale will be used on a cohort of 80 people over 65 years old. Within this cohort, a smaller sample of 20–30 individuals will be selected for semi-structured interviews about their beliefs and experiences of loneliness. Finally, data gathered from technological tools (smartbands, Bluetooth sensors) will allow us to monitor social interactions and to map daily loneliness/interaction patterns. Data will be triangulated by analyzing and comparing the empirical material gathered through these different methods and tools. Strict adherence to ethical standards for data protection and handling will be essential through data collection and analysis. As well as providing insights into the phenomenon of loneliness in old age, the use of different methods and tools for data collection will provide the basis for an epistemological reflection on the scope and limits of each one of these methods.

scholarly journals Thinking about police data: Analysts’ perceptions of data quality in Canadian policing

2021 ◽  
pp. 0032258X2110214
Author(s):  
Christopher D O’Connor ◽  
John Ng ◽  
Dallas Hill ◽  
Tyler Frederick
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Quality ◽  
Research Culture ◽  
Police Services ◽  
Police Data ◽  
Data Collection And Analysis ◽  
Quality Issues

Policing is increasingly being shaped by data collection and analysis. However, we still know little about the quality of the data police services acquire and utilize. Drawing on a survey of analysts from across Canada, this article examines several data collection, analysis, and quality issues. We argue that as we move towards an era of big data policing it is imperative that police services pay more attention to the quality of the data they collect. We conclude by discussing the implications of ignoring data quality issues and the need to develop a more robust research culture in policing.

Toward better ways of measuring school climate

2021 ◽  
Vol 102 (8) ◽  
pp. 52-57
Author(s):  
Deborah Temkin ◽  
Joy A. Thompson ◽  
Alex Gabriel ◽  
Emily Fulks ◽  
Sarah Sun ◽  
...  
Keyword(s):  
School Climate ◽  
Data Collection ◽  
Learning Environment ◽  
School Quality ◽  
Data Collection And Analysis ◽  
Academic Measures ◽  
Every Student Succeeds Act

As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That’s not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study suggests that by making a couple of modest changes to their data collection and analysis, states can significantly improve their measurement of school climate. Doing so is more than worth the effort, they add, as it will create strong incentives for schools to improve their learning environment.

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