scholarly journals Statistical methods for evaluating the correlation between timeline follow-back data and daily process data with applications to research on alcohol and marijuana use

2019 ◽  
Vol 94 ◽  
pp. 147-155 ◽  
Author(s):  
Wanjun Liu ◽  
Runze Li ◽  
Marc A. Zimmerman ◽  
Maureen A. Walton ◽  
Rebecca M. Cunningham ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Marijuana Use ◽  
Process Data ◽  
Daily Process

Male-female differences in the relationships between moods and alcohol use from daily process data over six months

2013 ◽  
Vol 54 (8) ◽  
pp. e23
Author(s):  
Valerie S. Harder ◽  
Lynsay A. Ayer ◽  
Gail L. Rose ◽  
Magdalena R. Naylor ◽  
John E. Helzer
Keyword(s):  
Alcohol Use ◽  
Process Data ◽  
Daily Process

scholarly journals Two-stage model for time-varying effects of discrete longitudinal covariates with applications in analysis of daily process data

2014 ◽  
Vol 34 (4) ◽  
pp. 571-581 ◽  
Author(s):  
Hanyu Yang ◽  
James A. Cranford ◽  
Runze Li ◽  
Anne Buu
Keyword(s):  
Time Varying ◽  
Stage Model ◽  
Process Data ◽  
Two Stage ◽  
Daily Process ◽  
Longitudinal Covariates

Developing and Using Indicators for Continuous Improvement

2020 ◽  
Vol 122 (14) ◽  
pp. 1-32
Author(s):  
Norma Ming ◽  
Alec I. Kennedy
Keyword(s):  
Conceptual Framework ◽  
Statistical Methods ◽  
San Francisco ◽  
Continuous Improvement ◽  
Control Charts ◽  
Great Promise ◽  
Process Data ◽  
Statistical Process ◽  
First Case ◽  
Intended Use

Background/Context Amidst the complex and fast-paced demands in schools and classrooms, identifying what most deserves educators’ attention can pose a challenge. Indicators help focus attention by highlighting key features that signal important outcomes or opportunities to take action or learn. Purpose Informed by multiple literatures, we offer a conceptual framework that elaborates on the connection between an indicator's development and use. Specifically, the framework proposes that how to develop indicators depends on the answers to several questions about how they will be used: the intended use (why), timing (when), content (on what), and threshold (how much). Research Design To explore this conceptual framework, we present two cases on the construction and use of indicators for continuous improvement in the San Francisco Unified School District. In the first case, we applied statistical process control (SPC) theory to create control charts that visualize district-level outliers on student achievement outcomes to examine potential causes of variation among schools. In the second case, we combined SPC with more basic statistical methods to develop indicators highlighting areas of potential promise across multiple measures and student subgroups within a school. In our exploration of the two case studies, we present the statistical methods applied to construct the indicator, an example of the visualizations created, and descriptions of how central office leaders interpreted and used the results. We document how the intended use informed the indicators’ design, and the ramifications of those decisions for educators’ subsequent use of the indicators for improvement. Conclusions and Recommendations In learning from these cases, we highlight the importance of constructing indicators from the perspective of their intended use and linked with specific conditions and potential actions. This requires including more useful process data in the development of those indicators, as well as more follow-up analysis of the effectiveness of the actions taken based on those indicators, contrasted against alternative actions. We also underscore the importance of developing indicators that distinguish between the need for systemic versus targeted improvement efforts, based on SPC. We believe that combining approaches across disciplines and methodologies holds great promise for the development and use of indicators for continuous improvement in education.

scholarly journals Assessment methods and schedules for collecting daily process data on substance use related health behaviors: A randomized control study

2017 ◽  
Vol 178 ◽  
pp. 159-164 ◽  
Author(s):  
Anne Buu ◽  
Lynn S. Massey ◽  
Maureen A. Walton ◽  
James A. Cranford ◽  
Marc A. Zimmerman ◽  
...  
Keyword(s):  
Substance Use ◽  
Health Behaviors ◽  
Assessment Methods ◽  
Process Data ◽  
Randomized Control Study ◽  
Daily Process ◽  
Randomized Control ◽  
Control Study

Statistics and parallaxes

1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz
Keyword(s):  
Experimental Design ◽  
Statistical Methods ◽  
Review Paper ◽  
Systematic Errors ◽  
Past Experience ◽  
Random Errors ◽  
Trigonometric Parallaxes ◽  
Systematic And Random Errors

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.

Engaging Undergraduate Students in Child Language Research

2014 ◽  
Vol 17 (1) ◽  
pp. 4-16
Author(s):  
Jade H. Coston ◽  
Corine Myers-Jennings
Keyword(s):  
Undergraduate Students ◽  
Student Growth ◽  
Process Data ◽  
Research Knowledge ◽  
Research Dissemination ◽  
Language Sampling ◽  
Language Research ◽  
Language Sample Analysis ◽  
Turn Taking ◽  
Assessment Techniques

To better prepare the professionals and scholars of tomorrow in the field of communication sciences and disorders (CSD), a research project in which undergraduate students collected and analyzed language samples of child-parent dyads is presented. Student researchers gained broad and discipline-specific inquiry skills related to the ethical conduct of research, the literature review process, data collection using language assessment techniques, language sample analysis, and research dissemination. Undergraduate students majoring in CSD developed clinical research knowledge, skills, and dispositions necessary for future graduate level study and professional employment. In addition to the benefits of student growth and development, language samples collected through this project are helping to answer research questions regarding communicative turn-taking opportunities within the everyday routines of young children, the effects of turn-taking interactions on language development, and the construct validity of language sampling analysis techniques.

Marijuana Use at Young Age Linked to Risk of Psychosis

2010 ◽  
Vol 43 (8) ◽  
pp. 32
Author(s):  
MARY ANN MOON
Keyword(s):  
Marijuana Use ◽  
Young Age
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