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Journal articles on the topic 'Retention rates'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 January 2023

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1

Sorokina, Ekaterina I., Yuliya N. Gambeeva, Alexandra V. Glotova, and Lada D. Litvak. "Factors affecting MOOC retention rates." Izvestia: Herzen University Journal of Humanities & Sciences, no. 196 (2020): 194–202. http://dx.doi.org/10.33910/1992-6464-2020-196-194-202.

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2

Rickinson, Barbara, and Desmond Rutherford. "Increasing undergraduate student retention rates." British Journal of Guidance and Counselling 23, no. 2 (June 1, 1995): 161–72. http://dx.doi.org/10.1080/03069889500760181.

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3

Rickinson, Barbara, and Desmond Rutherford. "Increasing undergraduate student retention rates." British Journal of Guidance & Counselling 23, no. 2 (June 1995): 161–72. http://dx.doi.org/10.1080/03069889508253002.

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4

Blose, Gary. "Modeled Retention and Graduation Rates: Calculating Expected Retention and Graduation Rates for Multicampus University Systems." New Directions for Higher Education 1999, no. 108 (1999): 69–86. http://dx.doi.org/10.1002/he.10805.

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5

Webster, Allen L., and Vince E. Showers. "Measuring Predictors of Student Retention Rates." American Journal of Economics and Business Administration 3, no. 2 (February 1, 2011): 301–11. http://dx.doi.org/10.3844/ajebasp.2011.296.306.

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6

Morris, Don R. "Patterns of Aggregate Grade-Retention Rates." American Educational Research Journal 30, no. 3 (January 1993): 497–514. http://dx.doi.org/10.3102/00028312030003497.

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7

Sutton, Halley. "Communication key to boosting retention rates." Recruiting & Retaining Adult Learners 18, no. 2 (October 14, 2015): 12. http://dx.doi.org/10.1002/nsr.30104.

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8

Sutton, Halley. "Communication key to boosting retention rates." Enrollment Management Report 19, no. 6 (August 20, 2015): 12. http://dx.doi.org/10.1002/emt.30099.

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9

Vacari, Thaisa Camila, Jocilan Rodrigues Lara, Zoraidy Marques de Lima Lima, and Eduardo Beraldo de Morais. "Water quantity investigation of simulated green roofs in a tropical climate: influence of vegetation composition." E&S Engineering and Science 8, no. 2 (July 17, 2019): 2–14. http://dx.doi.org/10.18607/es201988046.

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Green roofs are recognized as a sustainable infrastructure to improve the environmental quality of cities. Among many benefits, green roofs reduce the rate and volume of runoff helping to improve rainwater management. This study investigated the runoff retention capacity of three pilot extensive green roof assemblies with different vegetation (grass, shrub and intercropping of the two plants). Rainwater runoff data were collected for 18 rainfall events that ranged from a minimum of 1.6 mm to a maximum of 157.9 mm. Average precipitation event retention efficiencies were 46.7, 59.7 and 61.6% for intercropped, shrub and grass green roofs, respectively, while the annual runoff retention rates were 43.8, 57.3 and 59.7%. The difference in retention rates for the green roofs with different vegetation was not statistically significant. The rainfall intensity influenced the retention rates, with the highest retentions for small events (<10.0 mm) followed by medium (10.0-24.9 mm). Retention was found to correspond significantly to rainfall depths. On the other hand, regression analysis failed to provide a relationship between retention and antecedent dry weather period (ADWP). The organic soil used as substrate appears to be the deciding factor for rainwater retention.

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10

Miller, M. David, and Robert L. Linn. "Cross-National Achievement with Differential Retention Rates." Journal for Research in Mathematics Education 20, no. 1 (January 1989): 28. http://dx.doi.org/10.2307/749096.

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11

Miller, M. David, and Robert L. Linn. "Cross-National Achievement with Differential Retention Rates." Journal for Research in Mathematics Education 20, no. 1 (January 1989): 28–40. http://dx.doi.org/10.5951/jresematheduc.20.1.0028.

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In the First International Mathematics Study, Husén (1967b) showed that cross-national achievement differences were related to the proportion of students remaining, or retained, in the educational system. In addition, in countries retaining a high proportion of students in school, the more able students fared better than in countries retaining few students. For data gathered in 1981–1982 for the Second International Mathematics Study, the retention rates of countries accounted for some achievement differences, but achievement differences for the more able students across countries were not related to the rate at which countries retained students. Instead, variables such as opportunity to learn were needed to explain these differences.

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12

Weathers, Suzanne M., and Edith D. Hunt Raleigh. "1-Year Retention Rates and Performance Ratings." JONA: The Journal of Nursing Administration 43, no. 9 (September 2013): 468–74. http://dx.doi.org/10.1097/nna.0b013e3182a23d9f.

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13

Sulley, Anna, Graeme Young, Chris Hunt, Sarah McCready, Marie-Therese Targett, and Ruth Craven. "Retention Rates in New Contact Lens Wearers." Eye & Contact Lens: Science & Clinical Practice 44 (September 2018): S273—S282. http://dx.doi.org/10.1097/icl.0000000000000402.

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14

Krishnaraj, Arun, and C. Matthew Hawkins. "Improving Membership Retention Rates Among New Graduates." Journal of the American College of Radiology 8, no. 10 (October 2011): 735–36. http://dx.doi.org/10.1016/j.jacr.2011.05.013.

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15

Schwager, Mahna T., Douglas E. Mitchell, Tedi K. Mitchell, and Jeffrey B. Hecht. "How School District Policy Influences Grade Level Retention in Elementary Schools." Educational Evaluation and Policy Analysis 14, no. 4 (December 1992): 421–38. http://dx.doi.org/10.3102/01623737014004421.

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Research evidence indicates that retention, requiring students to repeat a grade level, fails to raise achievement or enhance social and personal adjustment. Moreover, it does not produce homogeneous classes, may be discriminatory, and is linked to dropping out. Retention continues, however, supported by public belief and sanctioned by district policy. A sample of district retention policies were rated according to two overarching dimensions: (a) the amount of effort required to implement, and (b) the extent to which objective criteria govern retention decisions. Differences along these dimensions are hypothesized to influence district retention rates. Results support use of this framework for comparing retention policies and retention rates when district size is taken into account. Larger districts retain more students, adopt more comprehensive retention policies, and provide a different policy context for implementation than smaller districts. Identified policy dimensions influence retention rates in opposite ways in large and small districts. We suggest that district cultural beliefs and organizational structures for student mobility contribute to these differences. Policy, rather than directly controlling staff behavior, may provide “signals” that are interpreted through organizational belief systems. Thus, adoption of identical district policy may lead to different staff behavior in different school district contexts.

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16

Breit, Emily, and Samuel Schreyer. "The Impact of Distance Education on University Retention Rates." International Journal for Innovation Education and Research 6, no. 11 (November 30, 2018): 48–62. http://dx.doi.org/10.31686/ijier.vol6.iss11.1228.

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This study uses new measures of distance education to assess the impact on retention rates at 4-year public and private non-profit universities in the U.S. We present evidence that the percent of undergraduates enrolled exclusively in distance education courses reduces a university’s freshmen retention rate, particularly for institutions with a relatively low median SAT score. We find no clear evidence of lower retention rates when undergraduates are enrolled in a combination of on-campus and distance education courses. These findings suggest increased enrollment through distance education can come at the expense of lower retention.

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17

McLeskey, James, and Kenneth L. Grizzle. "Grade Retention Rates among Students with Learning Disabilities." Exceptional Children 58, no. 6 (May 1992): 548–54. http://dx.doi.org/10.1177/001440299205800609.

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This study investigated the grade retention of students with learning disabilities. Data were collected on 689 students referred and identified as having learning disabilities during the 1987–88 school year in Indiana. Of these students, 58% had been retained before identification The results of this investigation suggest that retention is being used as a remediation before labeling a student. Implications of this practice and alternatives to grade retention as a method to address the academic needs of students are discussed.

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18

Steinweg, Kenneth K. "Retention Rates and Retention Predictors among Graduates of Army Family Practice Residency Programs." Military Medicine 159, no. 7 (July 1, 1994): 516–19. http://dx.doi.org/10.1093/milmed/159.7.516.

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19

Sanford, Thomas, and James M. Hunter. "Impact of Performance Funding on Retention and Graduation Rates." education policy analysis archives 19 (November 30, 2011): 33. http://dx.doi.org/10.14507/epaa.v19n33.2011.

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As the architect of the oldest and most stable performance funding program, Tennessee provides a unique opportunity to analyze the impact of changes in performance funding policies on changes in institutional retention and six-year graduation rates over time. Utilizing spline linear mixed models, this study examines the impact of changes in Tennessee’s performance funding policies on retention and six-year graduation rates at public four-year institutions from 1995-2009. The results show tying retention and graduation rates to performance funding was unrelated to changes in the performance measures over the fifteen year period examined. Additionally, the doubling of the monetary incentive associated with the retention and six-year graduation rate measures in 2005 was not associated with increases in retention rates. These results suggest that at their current funding levels, states’ adoption of performance funding programs, such as the one in Tennessee, may be insufficient to incentivize changes in institutional behavior as desired by state leaders.

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20

Kennedy, Katherine, Robert Applebaum, John Bowblis, and Jane Straker. "Organizational Factors Associated With Retention of Certified Nursing Assistants and Direct Care Workers." Innovation in Aging 4, Supplement_1 (December 1, 2020): 384–85. http://dx.doi.org/10.1093/geroni/igaa057.1238.

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Abstract Low retention of certified nursing assistants (CNAs) and direct care workers (DCWs) continues to be an unresolved problem for nursing homes (NH) and assisted living (AL) settings. While numerous studies have examined predictors of CNA retention in NHs, little attention has been paid to differences between settings of long-term care. To inform practice and policy related to growth in the AL industry, this study compares the predictors of CNA and DCW retention rates. The 2017 Ohio Biennial Survey of Long-Term Care Facilities provides facility-level information from 968 NHs (91% response rate) and 708 ALs (88% response rate). Using regression analysis, we compare the factors that predict retention rates among providers with complete data on retention and controls. The same covariates relating to structural and financial characteristics, as well as staffing, management, and a number of retention best practices are used. Average DCW and CNA retention rates were 66% and 61% in ALs and NHs, respectively, with some settings reporting very low (and even 0%) retention over a year. AL and NH providers rated the problem’s severity highest (6 out of 10) compared to retaining other licensed nurses. Similar and different predictors were found across financial, environmental, and managerial practices supporting retention. CNA and DCW retention strategies may not be equivalently meaningful between settings, given differing working environments, resources, and regulations. Aging services managers should be attuned to practices supporting retention in their industry.

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21

Harrison, Sarah. "Intensive support scheme boosts newly qualified retention rates." Nursing Standard 20, no. 28 (March 22, 2006): 12. http://dx.doi.org/10.7748/ns.20.28.12.s19.

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22

Conefrey, Theresa. "LABORATORY TALK AND WOMEN'S RETENTION RATES IN SCIENCE." Journal of Women and Minorities in Science and Engineering 6, no. 3 (2000): 14. http://dx.doi.org/10.1615/jwomenminorscieneng.v6.i3.50.

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23

Tillman, Audrey. "Improving Worker Satisfaction Yields Improved Worker-Retention Rates." Employment Relations Today 39, no. 4 (February 14, 2013): 27–31. http://dx.doi.org/10.1002/ert.21386.

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24

Hope, Joan. "Increase retention, graduation rates with an academy model." Recruiting & Retaining Adult Learners 18, no. 9 (May 12, 2016): 1–5. http://dx.doi.org/10.1002/nsr.30154.

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25

Hope, Joan. "Increase retention, graduation rates with an academy model." Dean and Provost 17, no. 10 (May 24, 2016): 1–5. http://dx.doi.org/10.1002/dap.30194.

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26

Venzin, Megan. "Use Omni-Channel Communications To Increase Retention Rates." Membership Management Report 13, no. 6 (May 16, 2017): 1. http://dx.doi.org/10.1002/mmr.30701.

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27

Pasha, Shabana F., Marco Pennazio, Emanuele Rondonotti, Douglas Wolf, Matthew R. Buras, Jörg G. Albert, Stanley A. Cohen, et al. "Capsule Retention in Crohn’s Disease: A Meta-analysis." Inflammatory Bowel Diseases 26, no. 1 (May 3, 2019): 33–42. http://dx.doi.org/10.1093/ibd/izz083.

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This systematic review showed lower capsule retention rates in suspected and established Crohn’s disease than older literature. Retention rates were further reduced after patency capsule and cross-sectional imaging. Retention rates were also lower in pediatric compared with adult Crohn’s disease.

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28

Jones, Willis A. "Football and Freshmen Retention: Examining the Impact of College Football on Institutional Retention Rates." Journal of College Student Retention: Research, Theory & Practice 11, no. 4 (February 2010): 551–64. http://dx.doi.org/10.2190/cs.11.4.f.

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29

Veratiwi, Veratiwi, Nanan Sekarwana, and Ike Rostikawati Husen. "THE EFFECT OF BLENDED LEARNING TOWARD MEMORY RETENTION RATES OF NEONATAL RESUSCITATION SKILLS AND STUDENT’S PERCEPTION." Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education 8, no. 2 (July 28, 2019): 83. http://dx.doi.org/10.22146/jpki.38542.

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Background: Retention is a goal in the learning process. The objective of this study was to compare the memory retention rates of neonatal resuscitation skills between blended learning strategies and conventional ones and to analyze the correlation of students’ perception on the implementation of blended learning towards memory retention rates of neonatal resuscitation skills.Method: This was an analytical study using quasi-experimental design applying posttest-only non-equivalent group design. The subjects of this study were students of DIII Midwifery Program of Health Polytechnic Palembang. The research subjects were divided into two groups; 25 subjects in blended learning group and 25 subjects in conventional group. The hypotheses were tested using Kolmogorov-Smirnov, to analyze the differences of memory retention rates of resuscitation skills between the two groups of study, and Chi-square test, to see the correlation of students’ perception on the implementation of blended learning with memory retention rates of resuscitation skills.Result: The results of study showed that the memory retention rates of neonatal resuscitation skills between blended learning group and conventional group were not significantly different. In addition, there was no correlation of students’ perception on the implementation of blended learning toward the memory retention rates of resuscitation skill.Conclusion: From the findings of this study, it can be concluded that there was no difference in the memory retention rates of neonatal resuscitation skills between blended learning strategies and conventional ones and there was no effect of the students’ perception on the implementation of blended learning towards the memory retention rates of neonatal resuscitation skills.

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30

Lainjo, Bongs. "Mitigating Academic Institution Dropout Rates with Predictive Analytics Algorithms." International Journal of Education, Teaching, and Social Sciences 3, no. 1 (January 2, 2023): 29–49. http://dx.doi.org/10.47747/ijets.v3i1.866.

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Multiple studies show student dropout rates across rich, low and middle-income countries. With the development of machine learning, various learning institutions have initiated predictive analytics algorithms to solve this issue. However, there is limited knowledge on how this strategy has been employed to optimize retention rates. The research aims to comprehensively review PAAs Strategies and demonstrate how they have been effectively implemented in optimizing retention rates with a case study focusing on North America. The study employed a quantitative research methodology and thematic study design to review the existing literature. The result shows that learning institutions used a combination of data mining classifiers such as k-Nearest Neighbor, Neural Networks, Decision Tree, and Naive Bayes to categorize student dropout rates and optimize retention rates. The PAAs approach has been utilized by various educational institutions across North America, applying multiple predicting algorithms to ensure efficiency. Keywords: Predictive analytics algorithms, mitigating dropout rates, retention rates, classifiers, Learning institutions, North America

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31

Guttman, Irwin, and Ingram Olkin. "Retention or Attrition Models." Journal of Educational Statistics 14, no. 1 (March 1989): 1–20. http://dx.doi.org/10.3102/10769986014001001.

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A model for retention and its counterpart, attrition, is presented. In a prototype example, students enter a program in each of k terms; some of the students complete the program, and the remainder leave. A key feature in the models proposed is that there is a dampening effect from term to term because the probability of leaving the program diminishes as the terms progress. The focus of this paper is the study of alternative models for the dampening in attrition rates. A number of alternative dampening effects are proposed that provide for different rates of attrition. Approximate maximum likelihood estimates for the underlying parameters in each model and a Bayesian analysis are provided.

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32

Smith, J., S. Teal, and J. Sheeder. "IUD use in adolescent mothers: pregnancy rates, retention rates and reasons for discontinuation." Contraception 78, no. 2 (August 2008): 170. http://dx.doi.org/10.1016/j.contraception.2008.04.018.

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33

Kennedy, Katherine A., Robert Applebaum, and John R. Bowblis. "Facility-Level Factors Associated With CNA Turnover and Retention: Lessons for the Long-Term Services Industry." Gerontologist 60, no. 8 (July 29, 2020): 1436–44. http://dx.doi.org/10.1093/geront/gnaa098.

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Abstract Background and Objectives Certified nursing assistant (CNA) turnover and retention are critical aspects of facilities’ ability to provide cost-effective, high-quality person-centered care. Previous studies and industry practice often treat turnover and retention as similar concepts, assuming that low turnover and high retention are synonymous. The study addressed the question of whether turnover and retention rates differ and if so, what those differences mean for nursing home practice, policy, and research. Research Design and Methods This study examines facility-level factors associated with CNA retention and turnover rates using 2015 data from the Ohio Biennial Survey of Long-Term Care Facilities, Ohio Medicaid Cost Reports, Certification and Survey Provider Enhanced Report, and the Area Health Resource File. Using bivariate tests and regression analysis, we compare rates and the factors associated with retention and turnover. Results The mean facility annual retention rate was 64% and the mean annual turnover rate was 55%. As expected, there was a statistically significant and negative correlation between the rates (r = −0.26). However, some facilities had both high retention and high turnover and some had low rates for both measures. Not all the variables that are associated with turnover are also associated with retention. Discussion and Implications CNA retention is not simply the absence of CNA turnover. Given the differences, nursing homes may need to use strategies and policies designed to target a particular stability measure.

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34

Pelechas, Eleftherios, Evripidis Kaltsonoudis, Paraskevi V. Voulgari, and Alexandros A. Drosos. "Biosimilars and retention rates in patients with ankylosing spondylitis." Clinical and Experimental Rheumatology 39, no. 2 (April 9, 2021): 440. http://dx.doi.org/10.55563/clinexprheumatol/4cualr.

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35

T, Onedera. "Retention Rates of ACLS Skills in Senior Medical Students." Open Emergency Medicine Journal 5, no. 1 (November 13, 2013): 45–49. http://dx.doi.org/10.2174/1876542401305010045.

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36

Sutton, Halley. "Consider increased grad student housing to improve retention rates." Enrollment Management Report 25, no. 6 (August 19, 2021): 6–7. http://dx.doi.org/10.1002/emt.30829.

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37

Sutton, Halley. "Consider increased grad student housing to improve retention rates." Recruiting & Retaining Adult Learners 23, no. 10 (June 10, 2021): 6–7. http://dx.doi.org/10.1002/nsr.30752.

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38

Sutton, Halley. "Consider increased grad student housing to improve retention rates." Dean and Provost 22, no. 12 (July 19, 2021): 6–7. http://dx.doi.org/10.1002/dap.30911.

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39

Schoenberg, Mike R., Kevin Duff, Leigh J. Beglinger, David J. Moser, John D. Bayless, James Mold, James G. Scott, and Russell L. Adams. "Retention Rates on RBANS Memory Subtests in Elderly Adults." Journal of Geriatric Psychiatry and Neurology 21, no. 1 (February 5, 2008): 26–33. http://dx.doi.org/10.1177/0891988707311030.

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40

DAY, PETER, SUSAN KINDELAN, KATY OLDFIELD, and ROSEMARY BRYAN. "Retention rates of fissure sealants placed under general anaesthetic." International Journal of Paediatric Dentistry 18 (November 2008): 48–50. http://dx.doi.org/10.1111/j.1365-263x.2008.00938_3.x.

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41

Baum, Andrew, and Neil Turner. "Retention rates, reinvestment and depreciation in European office markets." Journal of Property Investment & Finance 22, no. 3 (June 2004): 214–35. http://dx.doi.org/10.1108/14635780410538159.

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42

Rioux, Jennifer, Norma Cuellar, JoAnn Oliver, Powen Hsu, and Amanda Szapkiw. "Evaluating Retention Rates in a Medication-Assisted Treatment Program." Journal for Nurse Practitioners 16, no. 9 (October 2020): e149-e151. http://dx.doi.org/10.1016/j.nurpra.2020.06.028.

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43

Cordray, Kevin. "High retention rates bring customer benefits at SITEL Direct." Human Resource Management International Digest 13, no. 4 (June 2005): 23–25. http://dx.doi.org/10.1108/09670730510599568.

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44

Sunwoo, Jun-Sang, Byeong-Su Park, Seon Jae Ahn, Sungeun Hwang, Chan-Young Park, Jin-Sun Jun, Dong Wook Kim, et al. "Three-Year Retention Rates of Levetiracetam, Topiramate, and Oxcarbazepine." Clinical Neuropharmacology 40, no. 2 (2017): 56–62. http://dx.doi.org/10.1097/wnf.0000000000000204.

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45

Chapple, C. R., V. W. Nitti, S. Herschorn, M. B. Blauwet, K. Traudtner, C. Walters, and E. Siddiqui. "573 Rates of urinary retention in mirabegron-treated patients." European Urology Supplements 13, no. 1 (April 2014): e573. http://dx.doi.org/10.1016/s1569-9056(14)60564-9.

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46

Timpe, Zach, and Marc Winokur. "Integrating Retention Rates into Economic Analyses of Prevention Interventions." Prevention Science 20, no. 4 (November 28, 2018): 566–74. http://dx.doi.org/10.1007/s11121-018-0958-6.

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47

Sulley, Anna, Graeme Young, Chris Hunt, Sarah McCready, Marie-Therese Targett, and Ruth Craven. "Prospective evaluation of new contact lens wearer retention rates." Contact Lens and Anterior Eye 41 (June 2018): S40. http://dx.doi.org/10.1016/j.clae.2018.04.059.

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48

Sulley, Anna, Graeme Young, and Chris Hunt. "Prospective evaluation of new contact lens wearer retention rates." Contact Lens and Anterior Eye 41 (June 2018): S4. http://dx.doi.org/10.1016/j.clae.2018.04.090.

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49

Stroh, Linda K. "Predicting turnover among repatriates: can organizations affect retention rates?" International Journal of Human Resource Management 6, no. 2 (May 1995): 443–56. http://dx.doi.org/10.1080/09585199500000027.

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50

Brown, K. W., and J. C. Thomas. "Leak rates into drainage systems underlying lined retention facilities." Journal of Hazardous Materials 18, no. 2 (January 1988): 179–88. http://dx.doi.org/10.1016/0304-3894(88)85022-2.

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