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Showing 1 to 12 of 387 entries
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Analysis of time-series quasi-experiments

quasi-experiments

Glass GV, Bowers J, Panagopoulos C, Fredrickson MM.
GSID: Ep16HWzps3EJ
GV Glass, TO Maguire - … report, Laboratory of Educational Research, Boulder …, 1968

No abstract available.

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Glass, G. V., & Maguire, T. O. (1968). Analysis of time-series quasi-experiments. Unpublished report, Laboratory of Educational Research, Boulder, Colorado.
Glass, Gene V., and Thomas O. Maguire. "Analysis of time-series quasi-experiments." Unpublished report, Laboratory of Educational Research, Boulder, Colorado (1968).
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Machinima and Video-Based Soft-Skills Training for Frontline Healthcare Workers

flipped classroom

Bowers C.
GSID: jwDPN1IB3HUJ
CA Conkey, C Bowers, J Cannon-Bowers… - GAMES FOR HEALTH …, 2013 - liebertpub.com

Multimedia training methods have traditionally relied heavily on video-based technologies, and significant research has shown these to be very effective training tools. However …

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Conkey, C. A., Bowers, C., Cannon-Bowers, J., & Sanchez, A. (2013). Machinima and video-based soft-skills training for frontline healthcare workers. GAMES FOR HEALTH: Research, Development, and Clinical Applications, 2(1), 39-43.
Conkey, Curtis A., et al. "Machinima and video-based soft-skills training for frontline healthcare workers." GAMES FOR HEALTH: Research, Development, and Clinical Applications 2.1 (2013): 39-43.
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Analyzing the longitudinal K-12 grading histories of entire cohorts of students: Grades, data driven decision making, dropping out and hierarchical cluster analysis

k-12

Bowers AJ.
GSID: 2DYVF114HEkJ
AJ Bowers - Practical Assessment, Research, and …, 2010 - scholarworks.umass.edu

… This study, through the examination of longitudinal K-12 teacher assigned grading histories for entire cohorts of students from a school district (n=… correctly identified over 80% of the students who dropped out using the entire student grade history...

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Bowers, A. J. (2010). Analyzing the longitudinal K-12 grading histories of entire cohorts of students: Grades, data driven decision making, dropping out and hierarchical cluster analysis. Practical Assessment, Research, and Evaluation, 15(1), 7.
Bowers, Alex J. "Analyzing the longitudinal K-12 grading histories of entire cohorts of students: Grades, data driven decision making, dropping out and hierarchical cluster analysis." Practical Assessment, Research, and Evaluation 15.1 (2010): 7.
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Do we know who will drop out? A review of the predictors of dropping out of high school: Precision, sensitivity, and specificity

high school

Bowers AJ.
GSID: HeFDZhAS7dUJ
AJ Bowers, R Sprott, SA Taff - The High School Journal, 2012 - JSTOR

… To create an encompassing search of high school dropout … to high school dropout prediction. The Boolean phrase "(dropout*) AND (Indicat* OR Identif* OR Predict*) AND (School* or …

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Bowers, A. J., Sprott, R., & Taff, S. A. (2012). Do we know who will drop out? A review of the predictors of dropping out of high school: Precision, sensitivity, and specificity. The High School Journal, 77-100.
Bowers, Alex J., Ryan Sprott, and Sherry A. Taff. "Do we know who will drop out? A review of the predictors of dropping out of high school: Precision, sensitivity, and specificity." The High School Journal (2012): 77-100.
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Look who's talking to our kids: Representations of race and gender in TV commercials on Nickelodeon

race as an overall term & individual races (e.g. American Indian

Peruta A, Powers J.
GSID: s0bOknsMq_cJ
A Peruta, J Powers - International Journal of Communication, 2017 - ijoc.org

… States, some races are considered minority, due to their overall … on the terms used to describe different racial and ethnic groups … as White, Black, Asian, Latino/Latina, Indigenous, Other. …

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Peruta, A., & Powers, J. (2017). Look who’s talking to our kids: Representations of race and gender in TV commercials on Nickelodeon. International Journal of Communication, 11, 16.
Peruta, Adam, and Jack Powers. "Look who’s talking to our kids: Representations of race and gender in TV commercials on Nickelodeon." International Journal of Communication 11 (2017): 16.
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Investigating underrepresented and first‐generation college students' science and math motivational beliefs: A nationally representative study using latent profile …

first generation college student

Snodgrass V, Bowers A.
GSID: pFsjkj8Vcg0J
V Snodgrass Rangel, L Vaval, A Bowers - Science education, 2020 - Wiley Online Library

… and science beliefs of underrepresented students, with a focus on first-generation college (FGC) students. We do so by estimating a typology of high school students based on their …

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Snodgrass Rangel, V., Vaval, L., & Bowers, A. (2020). Investigating underrepresented and first‐generation college students' science and math motivational beliefs: A nationally representative study using latent profile analysis. Science education, 104(6), 1041-1070.
Snodgrass Rangel, Virginia, Luronne Vaval, and Alex Bowers. "Investigating underrepresented and first‐generation college students' science and math motivational beliefs: A nationally representative study using latent profile analysis." Science education 104.6 (2020): 1041-1070.
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Quantitative research methods training in education leadership and administration preparation programs as disciplined inquiry for building school improvement …

Alliances for Graduate Education and the Professoriate AND Program Evaluation

Bowers AJ.
GSID: jx4wwPuEKgsJ
AJ Bowers - Journal of Research on Leadership Education, 2017 - journals.sagepub.com

The quantitative research methods course is a staple of graduate programs in education leadership and administration. Historically, these courses serve to train aspiring district and school leaders in fundamental statistical research topics. This article argues for programs to focus...

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Bowers, A. J. (2017). Quantitative research methods training in education leadership and administration preparation programs as disciplined inquiry for building school improvement capacity. Journal of Research on Leadership Education, 12(1), 72-96.
Bowers, Alex J. "Quantitative research methods training in education leadership and administration preparation programs as disciplined inquiry for building school improvement capacity." Journal of Research on Leadership Education 12.1 (2017): 72-96.
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Education Leadership Data Analytics (ELDA): A White Paper Report on the 2018 ELDA Summit

Alliances for Graduate Education and the Professoriate AND Program Evaluation

Bowers AJ, Graves KE, Pan Y.
GSID: Xi5SWFM1vyYJ
AJ Bowers, A Bang, Y Pan, KE Graves - Online Submission, 2019 - ERIC

Education Leadership Data Analytics (ELDA) is an emerging domain that is centered at the intersection of education leadership, the use of evidence-based improvement cycles in schools to promote instructional improvement, and education data science. ELDA practitioners work collaboratively with...

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Bowers, A. J., Bang, A., Pan, Y., & Graves, K. E. (2019). Education Leadership Data Analytics (ELDA): A White Paper Report on the 2018 ELDA Summit. Online Submission.
Bowers, Alex J., et al. "Education Leadership Data Analytics (ELDA): A White Paper Report on the 2018 ELDA Summit." Online Submission (2019).
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Nurse practitioners: what next?.

Journal of the American Academy of Nurse Practitioners

Towers J.
PMID: 2031781
J Am Acad Nurse Pract. 1991 Apr-Jun;3(2):57-8. doi: 10.1111/j.1745-7599.1991.tb01066.x.

No abstract available.

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Towers J. Nurse practitioners: what next?. J Am Acad Nurse Pract. 1991;3(2):57-8doi: 10.1111/j.1745-7599.1991.tb01066.x.
Towers, J. (1991). Nurse practitioners: what next?. Journal of the American Academy of Nurse Practitioners, 3(2), 57-8. https://doi.org/10.1111/j.1745-7599.1991.tb01066.x
Towers, J. "Nurse practitioners: what next?." Journal of the American Academy of Nurse Practitioners vol. 3,2 (1991): 57-8. doi: https://doi.org/10.1111/j.1745-7599.1991.tb01066.x
Towers J. Nurse practitioners: what next?. J Am Acad Nurse Pract. 1991 Apr-Jun;3(2):57-8. doi: 10.1111/j.1745-7599.1991.tb01066.x. PMID: 2031781.
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Erratum. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 2017;40:1096-1102.

Diabetes care

Forlenza GP, Deshpande S, Ly TT, Howsmon DP, Cameron F, Baysal N, Mauritzen E, Marcal T, Towers L, Bequette BW, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ, Maahs DM, Buckingham BA, Dassau E.
PMID: 28887408
Diabetes Care. 2017 Nov;40(11):1606. doi: 10.2337/dc17-er11a. Epub 2017 Sep 08.

No abstract available.

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Forlenza GP, Deshpande S, Ly TT, et al. Erratum. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 2017;40:1096-1102. Diabetes Care. 2017;40(11):1606doi: 10.2337/dc17-er11a.
Forlenza, G. P., Deshpande, S., Ly, T. T., Howsmon, D. P., Cameron, F., Baysal, N., Mauritzen, E., Marcal, T., Towers, L., Bequette, B. W., Huyett, L. M., Pinsker, J. E., Gondhalekar, R., Doyle, F. J., Maahs, D. M., Buckingham, B. A., & Dassau, E. (2017). Erratum. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 2017;40:1096-1102. Diabetes care, 40(11), 1606. https://doi.org/10.2337/dc17-er11a
Forlenza, Gregory P, et al. "Erratum. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 2017;40:1096-1102." Diabetes care vol. 40,11 (2017): 1606. doi: https://doi.org/10.2337/dc17-er11a
Forlenza GP, Deshpande S, Ly TT, Howsmon DP, Cameron F, Baysal N, Mauritzen E, Marcal T, Towers L, Bequette BW, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ, Maahs DM, Buckingham BA, Dassau E. Erratum. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 2017;40:1096-1102. Diabetes Care. 2017 Nov;40(11):1606. doi: 10.2337/dc17-er11a. Epub 2017 Sep 08. PMID: 28887408; PMCID: PMC5652589.
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Team Resilience as a Second-Order Emergent State: A Theoretical Model and Research Directions.

Frontiers in psychology

Bowers C, Kreutzer C, Cannon-Bowers J, Lamb J.
PMID: 28861013
Front Psychol. 2017 Aug 17;8:1360. doi: 10.3389/fpsyg.2017.01360. eCollection 2017.

Resilience has been recognized as an important phenomenon for understanding how individuals overcome difficult situations. However, it is not only individuals who face difficulties; it is not uncommon for teams to experience adversity. When they do, they must be...

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Bowers C, Kreutzer C, Cannon-Bowers J, et al. Team Resilience as a Second-Order Emergent State: A Theoretical Model and Research Directions. Front Psychol. 2017;8:1360doi: 10.3389/fpsyg.2017.01360.
Bowers, C., Kreutzer, C., Cannon-Bowers, J., & Lamb, J. (2017). Team Resilience as a Second-Order Emergent State: A Theoretical Model and Research Directions. Frontiers in psychology, 81360. https://doi.org/10.3389/fpsyg.2017.01360
Bowers, Clint, et al. "Team Resilience as a Second-Order Emergent State: A Theoretical Model and Research Directions." Frontiers in psychology vol. 8 (2017): 1360. doi: https://doi.org/10.3389/fpsyg.2017.01360
Bowers C, Kreutzer C, Cannon-Bowers J, Lamb J. Team Resilience as a Second-Order Emergent State: A Theoretical Model and Research Directions. Front Psychol. 2017 Aug 17;8:1360. doi: 10.3389/fpsyg.2017.01360. eCollection 2017. PMID: 28861013; PMCID: PMC5562719.
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Effects of Ketamine on Resting-State EEG Activity and Their Relationship to Perceptual/Dissociative Symptoms in Healthy Humans.

Frontiers in pharmacology

de la Salle S, Choueiry J, Shah D, Bowers H, McIntosh J, Ilivitsky V, Knott V.
PMID: 27729865
Front Pharmacol. 2016 Sep 27;7:348. doi: 10.3389/fphar.2016.00348. eCollection 2016.

No abstract available.

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de la Salle S, Choueiry J, Shah D, et al. Effects of Ketamine on Resting-State EEG Activity and Their Relationship to Perceptual/Dissociative Symptoms in Healthy Humans. Front Pharmacol. 2016;7:348doi: 10.3389/fphar.2016.00348.
de la Salle, S., Choueiry, J., Shah, D., Bowers, H., McIntosh, J., Ilivitsky, V., & Knott, V. (2016). Effects of Ketamine on Resting-State EEG Activity and Their Relationship to Perceptual/Dissociative Symptoms in Healthy Humans. Frontiers in pharmacology, 7348. https://doi.org/10.3389/fphar.2016.00348
de la Salle, Sara, et al. "Effects of Ketamine on Resting-State EEG Activity and Their Relationship to Perceptual/Dissociative Symptoms in Healthy Humans." Frontiers in pharmacology vol. 7 (2016): 348. doi: https://doi.org/10.3389/fphar.2016.00348
de la Salle S, Choueiry J, Shah D, Bowers H, McIntosh J, Ilivitsky V, Knott V. Effects of Ketamine on Resting-State EEG Activity and Their Relationship to Perceptual/Dissociative Symptoms in Healthy Humans. Front Pharmacol. 2016 Sep 27;7:348. doi: 10.3389/fphar.2016.00348. eCollection 2016. PMID: 27729865; PMCID: PMC5037139.
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Showing 1 to 12 of 387 entries