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Journal articles on the topic 'Quantitative and qualitative measures'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Batchelor, R. A. "QUANTITATIVE v. QUALITATIVE MEASURES OF INFLATION EXPECTATIONS." Oxford Bulletin of Economics and Statistics 48, no. 2 (May 1, 2009): 99–120. http://dx.doi.org/10.1111/j.1468-0084.1986.mp48002001.x.

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2

Larsen*, Troy A., and Christopher S. Cramer. "Qualitative and Quantitative Measures of Onion Bulb Firmness." HortScience 39, no. 4 (July 2004): 805B—805. http://dx.doi.org/10.21273/hortsci.39.4.805b.

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Current onion varieties that are grown in New Mexico were developed for hand harvesting and not for mechanical harvesting. In order for onion production in New Mexico to remain a viable commodity, firmer onion varieties need to be developed for mechanical harvesting. In this study, bulb firmness of onions was examined in short and intermediate-day onion entries comparing a qualitative `finger pressure' method with a digital FFF-series durometer. After harvesting and curing of the onion bulbs, dry outer scales were removed before durometer measurements were taken at two perpendicular points on the vertical center axis of the bulb. Following the durometer measurements, bulb firmness was rated by `finger pressure' applied to multiple points on the vertical center axis. For intermediate and late-maturing entries, durometer measurements and firmness rating were positively correlated in a strong fashion (r = 0.77 to 0.87). Early maturing entries, NMSU 02-25 and NMSU 02-03 both had high durometer averages and firmness ratings. `NuMex Crimson' and `NuMex Crispy' had the highest durometer averages and firmness ratings among intermediate maturing entries while `NuMex Solano' and NMSU 01-06 had the highest among late maturing entries. From our results, the durometer can be useful in providing a quantifiable measure of bulb firmness.

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Field, John, and Greg Ruthenbeck. "Qualitative and Quantitative Radiological Measures of Fracture Healing." Veterinary and Comparative Orthopaedics and Traumatology 31, no. 01 (2018): 001–9. http://dx.doi.org/10.3415/vcot-17-03-0042.

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The formulation of appropriate postoperative strategies, following fracture repair, currently involves an understanding of radiological and clinical outcome measures. This study has evaluated several modalities used to assess the progression of bone healing in a sheep tibial segmental defect model. Measures of defect optical density and volumetric data including bone density (BD), bone volume (BV) and bone mass (BM) were compared with qualitative data involving visual appraisal of radiographs [% bridging callus and modified radiographic union score tibia (mRUST)] and a clinical outcome measure (locomotory function). Percent bridging callus and mRUST measures displayed strong correlation (r = 0.999), while locomotory function was weakly correlated with bridging callus (r = 0.029) and mRUST (r = 0.046). There was moderate to strong correlation between the qualitative and quantitative data. Bone density, BV and BM showed strong correlations within this dataset (BD–BV, r = 0.814; BD–BM, r = 0.818; BV–BM, r = 1.000). Likewise, optical density measures were strongly correlated with BD (r = 0.824), BV (r = 0.957) and BM (r = 0.959). The utilization of both qualitative and quantitative data, in assessment of the progression of fracture healing, has provided valuable insight. Measures of optical density have been shown to make a substantial contribution to this assessment and which should be considered for use in studies evaluating fracture healing.

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Isaacson, Stephen. "Assessing the Writing Product: Qualitative and Quantitative Measures." Exceptional Children 54, no. 6 (April 1988): 528–34. http://dx.doi.org/10.1177/001440298805400606.

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Assessment of writing skills must focus on the writing product in order to satisfy four educational functions: identifying unsuccessful writers, planning instruction, monitoring student progress, and giving feedback. Within the last 25 years, various researchers have tested the validity of simple direct measures that correspond to five important aspects of the writing product: fluency, content, conventions, syntax, and vocabulary. Measures for each of these components, both qualitative and quantitative, are discussed.

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Arnold, Joan, Penelope Buschman Gemma, and Linda F. Cushman. "Exploring Parental Grief: Combining Quantitative and Qualitative Measures." Archives of Psychiatric Nursing 19, no. 6 (December 2005): 245–55. http://dx.doi.org/10.1016/j.apnu.2005.07.008.

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Steffens, Kathleen M., Robert Semmes, Judy K. Werder, and Robert H. Bruininks. "Relationship between Quantitative and Qualitative Measures of Motor Development." Perceptual and Motor Skills 64, no. 3 (June 1987): 985–86. http://dx.doi.org/10.2466/pms.1987.64.3.985.

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The correlation between a qualitative curriculum-referenced and a norm-referenced quantitative measure of motor development was assessed for 142 girls and 139 boys who ranged in age between 3 and 16 yr. Correlations between the two measures were relatively high, mostly in the .70 to .83 range. These results suggest consistent relationships between qualitative and quantitative measures of motor development in young children and the feasibility of integrating such assessments in planning educational programs.

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7

Booske, Bridget C., and Francois Sainfort. "Relation Between Quantitative and Qualitative Measures of Information Use." International Journal of Human-Computer Interaction 10, no. 1 (March 1998): 1–21. http://dx.doi.org/10.1207/s15327590ijhc1001_1.

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8

Koeda, Junko. "Macroeconomic effects of quantitative and qualitative monetary easing measures." Journal of the Japanese and International Economies 52 (June 2019): 121–41. http://dx.doi.org/10.1016/j.jjie.2018.12.006.

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9

Hay, David B., Harvey Wells, and Ian M. Kinchin. "Quantitative and qualitative measures of student learning at university level." Higher Education 56, no. 2 (October 1, 2007): 221–39. http://dx.doi.org/10.1007/s10734-007-9099-8.

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10

Ephraim, P. E. "A review of qualitative and quantitative measures in collection analysis." Electronic Library 12, no. 4 (April 1994): 237–42. http://dx.doi.org/10.1108/eb045298.

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11

Weller, Ann C. "Qualitative and Quantitative Measures of Indexed Health Sciences Electronic Journals." JAMA 287, no. 21 (June 5, 2002): 2865. http://dx.doi.org/10.1001/jama.287.21.2865.

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12

Fife, Jonathan D. "Qualitative and Quantitative Measures: One Driver of a Quality Culture." New Directions for Institutional Research 2001, no. 112 (2001): 97–108. http://dx.doi.org/10.1002/ir.31.

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13

Goot, Murray. "The “transition” from qualitative to quantitative measures of public opinion." Journalism Studies 15, no. 2 (April 30, 2013): 204–17. http://dx.doi.org/10.1080/1461670x.2013.794017.

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14

Eaton, Robert J., and Felipe G. Sanchez. "Quantitative and Qualitative Measures of Decomposition: Is There a Link?" Southern Journal of Applied Forestry 33, no. 3 (August 1, 2009): 137–41. http://dx.doi.org/10.1093/sjaf/33.3.137.

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Abstract Decomposition rates of loblolly pine coarse woody debris (CWD) were determined by mass loss and wood density changes for trees that differed in source of mortality (natural, girdle-poison, and felling). Specifically, three treatments were examined: (1) control (CON): natural mortality; (2) CD: 5-fold increase in CWD compared with the CON; and (3) CS: 12-fold increase in snags compared with the CON. The additional CWD in the CD treatment plots and the additional snags in the CS plots were achieved by felling (for the CD plots) or girdling followed by herbicide injection (for the CS plots) select trees in these plots. Consequently, mortality on the CD plots is due to natural causes and felling. Likewise, mortality on the CS plots is due to natural causes and girdle-poison. In each treatment plot, mortality due to natural causes was inventoried since 1997, whereas mortality due to girdle-poison and felling were inventoried since 2001. No significant difference was detected between the rates of decomposition for the CWD on these treatment plots, indicating that source of the tree mortality did not influence rates of decomposition once the tree fell. These experimental measures of decomposition were compared with two decay classification systems (three- and five-unit classifications) to determine linkages. Changes in wood density did not correlate to any decay classification, whereas mass loss had a weak correlation with decay class. However, the large degree of variation limits the utility of decay classification systems in estimating mass loss.

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Čamaj, Juraj, Lenka Černá, Adrián Šperka, and Ekaterina Zmeškal. "Qualitative and Quantitative Indicators of Railway Stations." Transport technic and technology 16, no. 1 (June 1, 2020): 17–20. http://dx.doi.org/10.2478/ttt-2020-0004.

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AbstractThe liberalization of the rail freight market has been booming in recent years. On a pan-European scale, new freight carriers are increasing year after year. Support for the liberalization of the railway sector is mainly implemented through the so-called railway packages and one of the tools is the quantitative and qualitative indicators of the individual railway stations. The relevance of the article is mainly to propose measures for railway stations, where freight transport is declining despite the liberalized market. These are main railway stations located on regional lines and railway stations with a smaller scope of transport work. The aim of this paper will be to propose measures to support freight transport in the Slovak Republic by setting minimum requirements (standards) for railway stations depending on their performance, respecting their current technical level of railway operation.

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Rust, Roland T., and Bruce Cooil. "Reliability Measures for Qualitative Data: Theory and Implications." Journal of Marketing Research 31, no. 1 (February 1994): 1–14. http://dx.doi.org/10.1177/002224379403100101.

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Data based on qualitative judgments are prevalent in both academic research in marketing and applied marketing research. Reliability measurement of qualitative data is important to determine the stability and quality of the data obtained. The authors assume a decision theoretic loss function, formally model the loss to the researcher of using wrong judgments, and show how this produces a new, proportional reduction in loss (PRL) reliability measure that generalizes many existing quantitative and qualitative measures. Because the PRL measure is often cumbersome to compute directly, they provide reference tables that enable the researcher to apply their approach easily. They then use this new approach to explore several important practical issues in conducting marketing research with qualitative judgments. In particular, they address the issues of (1) how reliable qualitative data should be (extending directly from Nunnally's rule of thumb for Cronbach's alpha in quantitative measurement), (2) how many judges are necessary given a known proportion of agreement between judges, and (3) given a fixed number of judges, what proportion of agreement must be obtained to ensure adequate reliability.

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17

Mencl, Jennifer, Louis Tay, Catherine E. Schwoerer, and Fritz Drasgow. "Evaluating Quantitative and Qualitative Types of Change." Journal of Leadership & Organizational Studies 19, no. 3 (May 10, 2012): 378–91. http://dx.doi.org/10.1177/1548051812442968.

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In this research, the authors present theoretical explanations for quantitative and qualitative types of changes to evaluate the malleability of general self-efficacy (GSE) and specific self-efficacy (SSE) measures due to domain-specific training. First, the authors hypothesize that the change in the GSE measure due to sales training is a quantitative mean-difference (alpha) change. Second, they hypothesize that the change in SSE due to sales training is a qualitative (beta or gamma) change. Results of latent variable cross-lagged analysis on sales trainee data ( N = 417) support the authors’ hypothesis that the difference in GSE was quantitative. Findings also provide partial support of the second hypothesis that a change in a SSE measure was qualitative. The qualitative change is attributed to the novelty and complexity of the particular SSE tasks (i.e., direct selling). Additional analysis of rank-order consistency further validates the measures and demonstrates the GSE measure was consistent before and after training whereas the SSE scales were not as consistent. Theoretical and practical implications of the findings are discussed.

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18

Roessner, D. "Quantitative and qualitative methods and measures in the evaluation of research." Research Evaluation 9, no. 2 (August 1, 2000): 125–32. http://dx.doi.org/10.3152/147154400781777296.

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Duclos, Noémie, Larissa Aguiar Tavares, Gerald Parent, Rachid Aissaoui, Sylvie Nadeau, and Cyril Duclos. "Quantitative and qualitative measures of poststroke walking activity with inertial technologies." Annals of Physical and Rehabilitation Medicine 60 (September 2017): e41-e42. http://dx.doi.org/10.1016/j.rehab.2017.07.181.

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20

Lee, M. Y., M. K. Wong, F. T. Tang, P. T. Cheng, W. K. Chiou, and P. S. Lin. "New quantitative and qualitative measures on functional mobility prediction for stroke patients." Journal of Medical Engineering & Technology 22, no. 1 (January 1998): 14–24. http://dx.doi.org/10.3109/03091909809009994.

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21

McGrath, J., V. Grim, S. Cardy, B. Chapple, and B. Mowry. "Dysmorphogenesis in psychosis: Quantitative and qualitative measures involving the head and face." Schizophrenia Research 41, no. 1 (January 2000): 84. http://dx.doi.org/10.1016/s0920-9964(00)90498-5.

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22

ALLISON, Stephen C., and Lawrence D. ABRAHAM. "Sensitivity of qualitative and quantitative spasticity measures to clinical treatment with cryotherapy." International Journal of Rehabilitation Research 24, no. 1 (March 2001): 15–24. http://dx.doi.org/10.1097/00004356-200103000-00003.

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23

Höft, Nikolas, Mark Heckmann, and Devi Jankowicz. "Systematic Integration of Quantitative Measures into the Qualitative Content Analysis of Constructs." Journal of Constructivist Psychology 32, no. 4 (October 25, 2018): 345–69. http://dx.doi.org/10.1080/10720537.2018.1515044.

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24

Stoel, M. Dale, Brian Ballou, and Dan L. Heitger. "The Impact of Quantitative versus Qualitative Risk Reporting on Risk Professionals' Strategic and Operational Risk Judgments." Accounting Horizons 31, no. 4 (April 1, 2017): 53–69. http://dx.doi.org/10.2308/acch-51777.

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SYNOPSIS Enterprise risk management (ERM) programs are an emerging component of managerial accounting that enable senior management to manage critical threats to the organization and identify strategic opportunities to exploit. A growing area of debate within ERM involves the extent to which risk reports should be assessed qualitatively or measured quantitatively (Risk and Insurance Management Society [RIMS] 2012). In many settings, quantitative reports are used and appear to be preferred due to their precision. Additional research suggests, however, that the directional nature of qualitative reports might fit better with senior management's cognitive expectations when considering strategic risks. We conduct an experiment that manipulates risk reporting format (quantitative versus qualitative) across both strategic and operational settings to examine their impact on risk management professionals' perceptions related to the preparer of the reports and the underlying quality of the information. We find that qualitative (quantitative) report information has a positive (negative) indirect association with managerial perceptions regarding strategic risk management activities. Specifically, in the strategic risk setting, the choice of format is directly associated with the perceived reliability and perceived relevance of the risk information. However, we do not find this relationship in the setting where risk reports focus on operational risks. These findings suggest that senior management favors qualitative information for strategic risks, whereas they are skeptical about quantitative measures for complex strategic risks.

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25

Zhou, Honghui. "Population-Based Assessments of Clinical Drug-Drug Interactions: Qualitative Indices or Quantitative Measures?" Journal of Clinical Pharmacology 46, no. 11 (November 2006): 1268–89. http://dx.doi.org/10.1177/0091270006294278.

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26

Felix, Uschi, and Michael Lawson. "The effects of suggestopedic elements on qualitative and quantitative measures of language production." Australian Review of Applied Linguistics 17, no. 2 (January 1, 1994): 1–21. http://dx.doi.org/10.1075/aral.17.2.01fel.

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Abstract This was a 10-week time-series investigation of a class of 12 students with the same teacher carrying out the teaching for both the experimental and control condition and the same students exposed to both treatment conditions. The question of central interest in this study was whether Suggestopedia affects more sophisticated language skills than recall, and both quantitative and qualitative measures were included to address the criticism that Suggestopedia affects memory skills alone. Year 10 students’ recall, comprehension, word production, fluency, accuracy, writing quality, transfer skills of grammatical items, and understanding of grammar rules were tested once a week. Long-term retention rates for recall were also checked at the end of each four-week period. The findings suggested that Suggestopedia does in fact have the potential to positively affect sophisticated language skills such as transfer of structures and creative writing. Compared with performance during the control Phase, results showed that during the experimental Phase students performed equally as well on tests of comprehension, accuracy and understanding of rules, and significantly better on tests of recall, word production, fluency, writing quality and transfer of grammatical items.

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27

Dunn, Gerald, Anthony L. Hinrichs, Sarah Bertelsen, Carol H. Jin, John SK Kauwe, Brian K. Suarez, and Laura J. Bierut. "Microsatellites versus single-nucleotide polymorphisms in linkage analysis for quantitative and qualitative measures." BMC Genetics 6, Suppl 1 (2005): S122. http://dx.doi.org/10.1186/1471-2156-6-s1-s122.

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Krause, Neal. "The Use of Qualitative Methods to Improve Quantitative Measures of Health-Related Constructs." Medical Care 44, Suppl 3 (November 2006): S34—S38. http://dx.doi.org/10.1097/01.mlr.0000245429.98384.23.

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Neale, Joanne, and John Strang. "Blending qualitative and quantitative research methods to optimize patient reported outcome measures (PROMs)." Addiction 110, no. 8 (April 5, 2015): 1215–16. http://dx.doi.org/10.1111/add.12896.

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Caritis, Steve N., Yang Zhao, Joseph Bettinger, and Raman Venkataramanan. "Qualitative and quantitative measures of various compounded formulations of 17-alpha hydroxyprogesterone caproate." American Journal of Obstetrics and Gynecology 208, no. 6 (June 2013): 470.e1–470.e5. http://dx.doi.org/10.1016/j.ajog.2013.02.028.

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31

SCHIPPERS, MICHAEL. "STRUCTURAL PROPERTIES OF QUALITATIVE AND QUANTITATIVE ACCOUNTS TO COHERENCE." Review of Symbolic Logic 7, no. 3 (July 18, 2014): 579–98. http://dx.doi.org/10.1017/s1755020314000227.

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AbstractThis paper evaluates four different qualitative (probabilistic) accounts to coherence with a focus on structural properties (symmetries, asymmetries, and transitivity). It is shown that while coherence is not transitive on any of these accounts, there are screening-off conditions that render coherence transitive. In a second step, an array of quantitative (probabilistic) accounts to coherence is considered. The upshot is that extant measures differ considerably with respect to a number of symmetry constraints.

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Maghlouth, Adnan Al, Yousef Al Yousef, and Nasir Al Bagieh. "Qualitative and Quantitative Analysis of Bacterial Aerosols." Journal of Contemporary Dental Practice 5, no. 4 (2004): 91–100. http://dx.doi.org/10.5005/jcdp-5-4-91.

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Abstract The objective of this study was to investigate qualitatively and quantitatively the bacterial aerosols before, during, and after clinical work sessions in different areas within a multichair dental clinic, an isolation clinic, the sterilization center, and the prosthetic laboratory in the College of Dentistry, King Saud University. Also, the contributions of aerosols generated by different types of dental procedures were investigated. Air sampling using blood and heart infusion agar plates at four selected areas was performed three times per day over a 2-week period before, during, and after clinical sessions. The concentration of total bacterial aerosols was 5 times higher in the multichair clinic, 3.6 times higher in the prosthetic laboratory, 2 times higher in the sterilization center and isolation clinic during working sessions as compared to before the working sessions. At the end of the working day, aerosols decreased 50-70% in all areas. Staphylococcus epidermidis had the highest prevalence (37.12q%) of colony composition of bacteria examined. This study demonstrates that aerosols increase during and after work sessions and, therefore, increase the chance for infectious agent transmission. Preventive measures should be instituted to reduce or disrupt aerosols as a transmission route in the multichair dental clinic, sterilization center, prosthetic laboratory, and isolation clinic. Citation Al Maghlouth A, Al Yousef Y, Al Bagieh N. Qualitative and Quantitative Analysis of Bacterial Aerosols. J Contemp Dent Pract 2004 November;(5)4:091-100.

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Gomes, Gisely Paula, Viviane Yumi Baba, Odair P. dos Santos, Cláudia P. Sudré, Cintia dos S. Bento, Rosana Rodrigues, and Leandro SA Gonçalves. "Combinations of distance measures and clustering algorithms in pepper germplasm characterization." Horticultura Brasileira 37, no. 2 (June 2019): 172–79. http://dx.doi.org/10.1590/s0102-053620190207.

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ABSTRACT Characterization and evaluation of genotypes conserved in the germplasm banks have become of great importance due to gradual loss of genetic variability and search for more adapted and productive genotypes. This can be obtained through several ways, generating quantitative and qualitative data. Joint analysis of those variables may be considered a strategy for an accurate germplasm characterization. In this study we aimed to evaluate different clustering techniques for characterization and evaluation of Capsicum spp. accessions using combinations of specific measures for quantitative and qualitative variables. A collection of 56 Capsicum spp. accessions was characterized based on 25 morphoagronomic descriptors. Six quantitative distances were used [A1) average of the range-standardized absolute difference (Gower), A2) Pearson correlation, A3) Kulczynski, A4) Canberra, A5) Bray-Curtis, and A6) Morisita] combined with distance for qualitative data [Simple Coincidence (B1)]. Clustering analyses were performed using agglomerative hierarchical methods (Ward, the nearest neighbor, the farthest neighbor, UPGMA and WPGMA). All combined distances were highly correlated. UPGMA clustering was the most efficient through cophenetic correlation and 2-norm analyses, showing a concordance between the two methods. Six clusters were considered an ideal number by UPGMA clustering, in which Gower distance showed a better adjustment for clustering. Most combined distances using UPGMA clustering allowed the separation of the accessions in relation to species, using both quantitative and qualitative data, which could be an alternative for simultaneous joint analysis, aiming to compare different clusters.

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34

Bhatia, P. K., and H. C. Taneja. "On characterization of quantitative-qualitative measure of inaccuracy." Information Sciences 56, no. 1-3 (August 1991): 143–49. http://dx.doi.org/10.1016/0020-0255(91)90027-r.

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PAUNESCU, Mihaela, Vasilica GRIGORE, Georgeta MITRACHE, Alexandra PREDOIU, and Radu PREDOIU. "Quantitative and Qualitative in Measuring Quality of Life in Sports." Revista Romaneasca pentru Educatie Multidimensionala 10, no. 1 (April 2, 2018): 95. http://dx.doi.org/10.18662/rrem/21.

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The quality of life of individuals, groups and communities depends on many factors, starting with what each person and family undertake, continuing with the interventions at the community level and ending with the public policy measures. Purpose: This study makes a quantitative and qualitative analysis of overall quality of life as perceived by young people who practice sports, and it also highlights the differences in perception of the quality of life among youth, according to gender and the sport practiced (individual or team sport), for the 16 life domains. Methods: The participants were 69 athletes. Quality of life has been measured using the Quality of Life Inventory (QoLI) for Romania, developed by Michael B. Frisch. Results: After processing the data, it has been found that the highest weighted satisfaction is obtained for Goals and Values, Play, Health and Self-Esteem, and the lowest satisfaction is recorded for Children, Money, Community and Neighborhood. Statistical processing also reveals an average overall quality of life for the study participants, regardless of gender and the practiced sport. Conclusions: It has been concluded that the influence of practicing individual sports on the overall quality of life for the participants in the study is at a higher level than in team sports.

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Obwegeser, Alois A., Ryan J. Uitti, Robert J. Witte, John A. Lucas, Margaret F. Turk, and Robert E. Wharen. "Quantitative and Qualitative Outcome Measures after Thalamic Deep Brain Stimulation to Treat Disabling Tremors." Neurosurgery 48, no. 2 (February 1, 2001): 274–84. http://dx.doi.org/10.1097/00006123-200102000-00004.

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Abstract OBJECTIVE We studied outcome measures after unilateral and bilateral thalamic stimulation to treat disabling tremor resulting from essential tremor and Parkinson's disease. The surgical technique, qualitative and quantitative tremor assessments, stimulation parameters, locations of active electrodes, complications, and side effects are described and analyzed. METHODS Forty-one patients with essential tremor or Parkinson's disease underwent implantation of 56 thalamic stimulators. Preoperative qualitative and quantitative tremor measurements were compared with those obtained after unilateral and bilateral surgery, with activated and deactivated stimulators. Stimulation parameters and stimulation-related side effects were recorded, and outcome measures were statistically analyzed. RESULTS Qualitative measurements demonstrated significant improvement of contralateral upper-limb (P < 0.001), lower-limb (P < 0.01), and midline (P < 0.001) tremors after unilateral surgery. Ipsilateral arm tremor also improved (P < 0.01). No differences were observed with the Purdue pegboard task. Quantitative accelerometer measurements were correlated with qualitative assessments and confirmed improvements in contralateral resting (P < 0.001) and postural (P < 0.01) tremors and ipsilateral postural tremor (P < 0.05). Activities of daily living improved after unilateral surgery (P < 0.001) and additionally after bilateral surgery (P < 0.05). Adjustments of the pulse generator were required more frequently for tremor control than for amelioration of side effects. Bilateral thalamic stimulation caused more dysarthria and dysequilibrium than did unilateral stimulation. Stimulation-related side effects were reversible for all patients. Stimulation parameters did not change significantly with time. A significantly lower voltage and greater pulse width were used for patients with bilateral implants. CONCLUSION Unilateral thalamic stimulation and bilateral thalamic stimulation are safe and effective procedures that produce qualitative and quantitative improvements in resting, postural, and kinetic tremor. Thalamic stimulation-related side effects are mild and reversible.

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Upadhyay, Himani, Ilan Kelman, Lingaraj G J, Arabinda Mishra, Cheney Shreve, and Robert Stojanov. "Conceptualizing and contextualizing research and policy for links between climate change and migration." International Journal of Climate Change Strategies and Management 7, no. 3 (August 17, 2015): 394–417. http://dx.doi.org/10.1108/ijccsm-05-2014-0058.

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Purpose – This paper aims to present a critical review of some literature on climate change and migration through conceptualizing and contextualizing the linkages between the two topics. Much literature on links between climate change and migration tends to downplay ambiguities in the terms and the limited empirical evidence. Conceptualizing refers to the knowledge gaps and the need to understand and detail (even if not agreeing on) conceptual issues such as terminology, definitions, linkages, drivers, thresholds, implications, data requirements and methodologies. Contextualizing refers to understanding the climate change and migration debate within wider topical and geographical contexts. Results identify major qualitative and quantitative gaps. Qualitatively, limited material exists on why people react differently to similar environmental stressors and why certain outcomes may arise. Quantitatively, credible and verifiable measures are not always available for assessing the climate change impacts on migration. This paper recommends a stratified, multi-disciplinary approach to facilitate policies regarding climate change and migration connections. Design/methodology/approach – Illustrative literature review, clustering important themes found in published research and policy documents. First, qualitative aspects are covered, particularly in terms of definitions and terminology. Second, quantitative aspects are detailed, particularly in terms of data available and estimates made. Further, the paper is organized around two distinct areas, i.e. conceptualizing and contextualizing climate change and migration links. Findings – Results identify major qualitative and quantitative gaps. Qualitatively, limited material exists on why people react differently to similar environmental stressors and why certain outcomes may arise. Quantitatively, credible and verifiable measures are not always available for assessing the climate change impacts on migration. This paper recommends a stratified, multi-disciplinary approach to facilitate policies regarding climate change and migration connections. Originality/value – Without being comprehensive in the literature covered, this paper provided a critical overview and synthesis of climate change and migration work through the lens of conceptualization and contextualization. Major gaps in the literature were identified through an illustrative, not complete, review. Qualitative and quantitative aspects were covered including definitions, terminology, data available and estimates being made.

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Chan, Yolande E. "IT Value: The Great Divide Between Qualitative and Quantitative and Individual and Organizational Measures." Journal of Management Information Systems 16, no. 4 (March 2000): 225–61. http://dx.doi.org/10.1080/07421222.2000.11518272.

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Ferguson, Karen J., Joanna M. Wardlaw, and Alasdair M. J. MacLullich. "Quantitative and Qualitative Measures of Hippocampal Atrophy Are Not Correlated in Healthy Older Men." Journal of Neuroimaging 20, no. 2 (April 2010): 157–62. http://dx.doi.org/10.1111/j.1552-6569.2009.00368.x.

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Obwegeser, Alois A., Ryan J. Uitti, Robert J. Witte, John A. Lucas, Margaret F. Turk, and Robert E. Wharen. "Quantitative and Qualitative Outcome Measures after Thalamic Deep Brain Stimulation to Treat Disabling Tremors." Neurosurgery 48, no. 2 (February 2001): 274–84. http://dx.doi.org/10.1227/00006123-200102000-00004.

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Cahn, E. Susanna. "Journal Rankings." International Journal of Information Systems in the Service Sector 6, no. 4 (October 2014): 92–103. http://dx.doi.org/10.4018/ijisss.2014100106.

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Research productivity is important in school reputation as well as individual faculty evaluation. In order to evaluate research productivity, the quality of research is often measured by proxy through the number of journal articles and ratings of the journals in which they appear. Because of this there is significant pressure on faculty to publish in the “top journals”. There are several metrics for evaluating and ranking journals, each of them with its own merits and limitations. Some commonly used quantitative measures of research quality are citation analyses, acceptance rates, and whether or not a journal is peer reviewed. Alternatively, journals can be ranked qualitatively into stratified groups based on reputation. Reputation, in turn, may be correlated with perceived values of quantitative measures, and thus is more subjective. The purpose of this research is to examine the extent of correlation between various measures of journal quality, in particular between quantitative and qualitative measures. The various measures are compared to examine the extent to which they are similar. Comparisons were also made among business departments. For this sample, overall journal rank was correlated with citation rate but not with acceptance rate. However, quantitative measures were not consistent among academic departments, indicating that journal rank can not be reliably used to make interdepartmental comparisons.

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Retrouvey, Helene, Fiona Webster, Toni Zhong, Anna R. Gagliardi, and Nancy N. Baxter. "Cross-sectional analysis of bibliometrics and altmetrics: comparing the impact of qualitative and quantitative articles in the British Medical Journal." BMJ Open 10, no. 10 (October 2020): e040950. http://dx.doi.org/10.1136/bmjopen-2020-040950.

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ObjectivesIn comparison to quantitative research, the impact of qualitative articles in the medical literature has been questioned by the BMJ; to explore this, we compared the impact of quantitative and qualitative articles published in BMJ.DesignCross-sectional survey.SettingArticles published in the BMJ between 2007 and 2017.Main outcome measuresBibliometric and altmetric measures of research impact were collected using Web of Science, Google Scholar, Scopus, Plum Analytics and ProQuest Altmetric. Bibliometric measures consisted of citation numbers, field weighted citation impact and citation percentile. Altmetric measures consisted of article usage, captures, mentions, readers, altmetric attention score and score percentile. Scores were compared using the Wilcoxon Rank-sum test.ResultsWe screened a total of 7777 articles and identified 42 qualitative articles. Each qualitative article was matched to 3 quantitative articles published during the same year (126 quantitative articles). Citation numbers were not statistically different between the two research types; the median number of citations (google scholar) per quantitative article was 62 (IQR 38–111) versus 58 (IQR 36–85) per qualitative article (p=0.47). Using Plum Analytics, qualitative articles were found to have a significantly higher usage, with a median of 984 (IQR 581–1351) versus 379 (IQR 177–763) for quantitative (p<0.001). The Altmetric Attention Score was higher for quantitative articles at 16 (IQR 7–37) versus qualitative articles at 9 (IQR 5–23, p=0.05), as was the Altmetric Score percentile 93 (IQR 87–96) versus 88 (IQR 76–95; p=0.02).ConclusionQualitative and quantitative articles published in the BMJ between 2007 and 2017 both have a high impact. No article type was consistently superior in terms of bibliometric or altmetric measures, suggesting that type of article is not the major driver of impact.

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Kim, Sang-Chul, and Yong-Woo Kim. "WORKFORCE INFORMATION DATABASE SYSTEM TO SUPPORT PRODUCTION PLANNING IN CONSTRUCTION PROJECTS." Journal of Civil Engineering and Management 18, no. 6 (November 20, 2012): 867–78. http://dx.doi.org/10.3846/13923730.2012.725675.

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Information on the capacity of available workforce is important in production planning because a production unit's quantitative and qualitative capacities need to match its assigned loads. In the planning process, assigned loads and quantitative capacity are well defined quantitatively through quantity takeoff and database estimation. However, tracking and managing such workforce information, including skills, accident history and experiences, is a challenging task. This research seeks to develop a prototype workforce information database system that defines not only quantitative data but also qualitative measures in relation to load and capacity. A workforce information database system is described for use in workforce-level production planning. This database system tracks the daily quantitative and qualitative production capacities of each worker. The paper also explored the benefits and its applicability in production planning through a survey.

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Cribari-Neto, Francisco, Mark J. Jensen, and Álvaro A. Novo. "RESEARCH IN ECONOMETRIC THEORY: QUANTITATIVE AND QUALITATIVE PRODUCTIVITY RANKINGS." Econometric Theory 15, no. 5 (October 1999): 719–52. http://dx.doi.org/10.1017/s0266466699155051.

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We rank institutions and researchers based on a standardized page count of their econometric theory publications over the last 11 years (1986–1996) in 11 economics and statistics journals. Our ranking criteria differ from those employed by Hall (1987, Econometric Theory 3, 171–194; 1990, Econometric Theory 6, 1–16) and Baltagi (1998, Econometric Theory 14, 1–43). We weight the standardized page count of a publication by the publishing journal's “impact factor,” which measures a journal's impact on the profession. We also depart from the previous rankings by focusing only on publications in theoretical econometrics. Our rankings reveal Yale University to be the leading academic institution, enjoying a large lead over the other top institutions: University of Chicago, M.I.T., and London School of Economics. Our rankings also reveal that Peter Phillips and Donald Andrews (both affiliated with Yale University) are the leading researchers in theoretical econometrics. We also provide rankings of countries and Ph.D. programs.

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Lozupone, Catherine A., Micah Hamady, Scott T. Kelley, and Rob Knight. "Quantitative and Qualitative β Diversity Measures Lead to Different Insights into Factors That Structure Microbial Communities." Applied and Environmental Microbiology 73, no. 5 (January 12, 2007): 1576–85. http://dx.doi.org/10.1128/aem.01996-06.

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ABSTRACT The assessment of microbial diversity and distribution is a major concern in environmental microbiology. There are two general approaches for measuring community diversity: quantitative measures, which use the abundance of each taxon, and qualitative measures, which use only the presence/absence of data. Quantitative measures are ideally suited to revealing community differences that are due to changes in relative taxon abundance (e.g., when a particular set of taxa flourish because a limiting nutrient source becomes abundant). Qualitative measures are most informative when communities differ primarily by what can live in them (e.g., at high temperatures), in part because abundance information can obscure significant patterns of variation in which taxa are present. We illustrate these principles using two 16S rRNA-based surveys of microbial populations and two phylogenetic measures of community β diversity: unweighted UniFrac, a qualitative measure, and weighted UniFrac, a new quantitative measure, which we have added to the UniFrac website (http://bmf.colorado.edu/unifrac ). These studies considered the relative influences of mineral chemistry, temperature, and geography on microbial community composition in acidic thermal springs in Yellowstone National Park and the influences of obesity and kinship on microbial community composition in the mouse gut. We show that applying qualitative and quantitative measures to the same data set can lead to dramatically different conclusions about the main factors that structure microbial diversity and can provide insight into the nature of community differences. We also demonstrate that both weighted and unweighted UniFrac measurements are robust to the methods used to build the underlying phylogeny.

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Bhatia, P. K., and H. C. Taneja. "On quantitative-qualitative measure of inaccuracy and reversible symmetry." Information Sciences 67, no. 3 (January 15, 1993): 277–82. http://dx.doi.org/10.1016/0020-0255(93)90076-x.

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Ulbricht, Viviane, Cristiane Martins Schmidt, Francisco Carlos Groppo, Eduardo Daruge Júnior, Dagmar de Paula Queluz, and Luiz Francesquini Júnior. "Sex estimation in brazilian sample: qualitative or quantitative methodology?" Brazilian Journal of Oral Sciences 16 (December 15, 2017): 1–9. http://dx.doi.org/10.20396/bjos.v16i0.8650495.

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Aim: This study carried out cranial measurements (in mm) [Zygion-Zygion (Zy-Zy); Zygion-Glabella-right side (Zy-Ga-right); Zygion-Glabella-left side (Zy-Ga-left); Zygion-Glabella-mean (Zy-Ga-mean); Rhinion-Anterior Nasal Spine (Rhi-ANS); Nasal Width (Na Wid); Nasion-Anterior Nasal Spine (Na-ANS); Glabella-Anterior Nasal Spine (Ga-ANS); Glabella-Prosthion (Ga-Pr)], to verify whether they are dimorphic. Methods: We used skulls from the Eduardo Daruge Laboratory of Forensic Physical Anthropometry, which did not present growth abnormalities and belonged to the age range of 18 to 100 years. Linear measurements were performed by digital caliper, properly calibrated. Inter and intra-calibrator calibration was performed by obtaining as result the value of 0.98 (considered excellent). Results: We found that all measures carried out are dimorphic, and we were able to create a logistic regression model (logit: Sex = −33.6 + (0.15 × Zy-Zy) + (0.21 × Rhi-ANS) + (0.16 × Na-ANS)) to estimation the sex. Conclusions: We concluded that the developed quantitative method results in 85.2% sensitivity, 76.2% specificity, and 81.1% accuracy, being, therefore, more effective in the prediction of sex than the mere random hit.

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Wei, Hong, and Jun Yi. "Affordable Housing Problems and Corresponding Measures at the Present Stage." Applied Mechanics and Materials 409-410 (September 2013): 875–78. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.875.

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In recent ten years, affordable housing has been qualitative and quantitative leap. But with the rapid development, there are some management problems came at the same time. This paper summarizes some found problems, and puts forward some suggestions to solve these problems

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Cunningham, Lawrence, Clifford Young, and Moonkyu Lee. "Developing Customer-Based Measures of Overall Transportation Service Quality in Colorado: Quantitative and Qualitative Approaches." Journal of Public Transportation 1, no. 4 (December 1997): 1–21. http://dx.doi.org/10.5038/2375-0901.1.4.1.

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Sozer, Hatice, and Mahjoub Elnimeiri. "Qualitative and Quantitative Evaluation of Energy Conversation Measures (ECM) Over Baseline as Given by ASHRAE." Architectural Science Review 49, no. 2 (June 2006): 127–32. http://dx.doi.org/10.3763/asre.2006.4917.

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