Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
12,738
result(s) for
"Qualitative and quantitative"
Sort by:
Re-understanding of contemporary Chinese political development : qualitative-quantitative analysis
This book provides the solid and detailed evidence for some debated theories in Chinese studies, based on quantitative-qualitative analysis or mixed methods, which is quite novel compared with the extant work through qualitative or quantitative research alone. In addition, the country's latest particular political phenomena, such as anti-corruption campaigns in the Xi Jinping era or career satisfaction of graduate village officials, have been carefully studied. What's more, the current situation of political development and participation in the Internet era is fully discussed from a comparative historical perspective. Such examples as the cybereconomy of Chinese rural areas together with the regional differentiation of voting behaviors between rural and urban areas are the focus of investigation. Meanwhile, the legitimacy and characteristics of China's governance, and government reforms along with the adaptability of foreign theories are also illustrated in this book.-- Provided by publisher.
Book
Methodological Implications of Critical Realism for Mixed-Methods Research
Building on recent developments in mixed methods, we discuss the methodological implications of critical realism and explore how these can guide dynamic mixed-methods research design in information systems. Specifically, we examine the core ontological assumptions of CR in order to gain some perspective on key epistemological issues such as causation and validity, and illustrate how these shape our logic of inference in the research process through what is known as retroduction. We demonstrate the value of a CR-led mixedmethods research approach by drawing on a study that examines the impact of ICT adoption in the financial services sector. In doing so, we provide insight into the interplay between qualitative and quantitative methods and the particular value of applying mixed methods guided by CR methodological principles. Our positioning of demi-regularities within the process of retroduction contributes a distinctive development in this regard. We argue that such a research design enables us to better address issues of validity and the development of more robust meta-infer enees.
Journal Article
The Foregrounding Assessment Matrix: An interface for qualitative-quantitative interdisciplinary research
This paper presents the results of a transdisciplinary research conducted by scholars working in the humanities and experimental psychologists in order to find an interface between the needs of a qualitative approach (mainly based on the evaluation of stylistic features) and those of a quantitative analysis, in order to find useful features for testing different reading behaviors and for new hermeneutical enquiries. The results of our research, which was conducted in two Labs (Dahlem Institute for Neuroimaging of Emotion at the FU Berlin and the NewHums – Neurocognitive and Human Studies at the University of Catania), consistently differ from previous ones, as they focus on the whole multi-layered foregrounded texture of a poem and try to evaluate predictable differences in reading, re-reading behaviour and meaning-making processes.We present the FAM, targeting foregrounding elements in three main categories: the phonological, morpho-syntactic, and rhetoric. To identify those elements, four different text levels were taken into account, the sublexical level of phonemes and syllables, the lexical level of single words, the interlexical level of word combinations across longer distance (e.g. two lines), and the supralexical level of whole stanzas or an entire poem. In contrast to previous quantitative analyses on short, isolated sentences and texts, mostly expository in nature (‘textoids’), or on single words or segments, the text is considered as a whole, marked by density fields that work as milestones along a reading route.
Journal Article
A discussion of some controversies in mixed methods research for emerging researchers
Mixed methods research has become an important approach to research worldwide. The combination of qualitative and quantitative research methods has made it possible for a deeper and broader understanding of multifaceted phenomena, thereby offering readers more confidence in research findings and conclusions. The use of mixed method designs became more established in the 1980s and early 1990s, but some controversies surrounding the approach remain. Nonetheless, experts in the field of mixed methods research have continued to work on the central premise that the use of qualitative and quantitative approaches, in combination, provides a better understanding of research problems than either approach alone. This concept paper discusses some of the known controversies around mixed methods with the aim of providing useful insights to emerging researchers interested in learning the methodology.
Journal Article
Machine learning in laser-induced breakdown spectroscopy: A review
Laser-induced breakdown spectroscopy (LIBS) is a spectroscopic analytic technique with great application potential because of its unique advantages for online/in-situ detection. However, due to the spatially inhomogeneity and drastically temporal varying nature of its emission source, the laser-induced plasma, it is difficult to find or hard to generate an appropriate spatiotemporal window for high repeatable signal collection with lower matrix effects. The quantification results of traditional physical principle based calibration model are unsatisfactory since these models were not able to compensate for complicate matrix effects as well as signal fluctuation. Machine learning is an emerging approach, which can intelligently correlated the complex LIBS spectral data with its qualitative or/and quantitative composition by establishing multivariate regression models with greater potential to reduce the impacts of signal fluctuation and matrix effects, therefore achieving relatively better qualitative and quantitative performance. In this review, the progress of machine learning application in LIBS is summarized from two main aspects: i) Pre-processing data for machine learning model, including spectral selection, variable reconstruction, and denoising to improve qualitative/quantitative performance; ii) Machine learning methods for better quantification performance with reduction of the impact of matrix effect as well as LIBS spectra fluctuations. The review also points out the issues that researchers need to address in their future research on improving the performance of LIBS analysis using machine learning algorithms, such as restrictions on training data, the disconnect between physical principles and algorithms, the low generalization ability and massive data processing ability of the model.
Journal Article
Ecological study of epiphytic diatoms on two submerged aquatic macrophytes in Tigris river, Iraq
This study was aimed to provide the baseline information of epiphytic diatom communities in
the Tigris river within Wasit Province to fill the information gap on the algal distribution.
This investigation was conducted on epiphytic diatoms from two macrophytes (Ceratophyllum
demersum and Myriophyllum alterniflorum) and related physicochemical parameters of the
river from June 2015 to May 2016. Three sites were selected along the river (Al-Aziziyah,
Zubaidiyah, and Numaniyah). Qualitative and quantitative study of epiphytic diatoms was
investigated. A total of 277 species of epiphytic diatoms were identified on both macrophytes,
these diatoms belonged to 27 genera for C. demersum and 28 genra for M. alterniflorum. A
total number of diatom species were ranged from 801.8× 104 cell.g-1 at site 3 to 1159.72 ×104
cell.g-1 at 1for C. demersum, while on M. alterniflorum were ranged (87.24 × 104 -545.68×104
cell.g-1) at site1. The study revealed that diatoms were abundant, reflecting the quality of
water and determine the extent of pollution and polluted type.
Journal Article
The Use of “Mixing” Procedure of Mixed Methods in Health Services Research
BACKGROUND:Mixed methods research has emerged alongside qualitative and quantitative approaches as an important tool for health services researchers. Despite growing interest, among health services researchers, in using mixed methods designs, little has been done to identify the procedural aspects of doing so.
PURPOSE:To describe how mixed methods researchers mix the qualitative and quantitative aspects of their studies in health services research.
DATA SOURCE:We searched the PubMed for articles, using mixed methods in health services research, published between January 1, 2006 and December 30, 2010.
STUDY SELECTION:We identified and reviewed 30 published health services research articles on studies in which mixed methods had been used. We selected 3 articles as illustrations to help health services researcher conceptualize the type of mixing procedures that they were using.
RESULTS:Three main “mixing” procedures have been applied within these studies(1) the researchers analyzed the 2 types of data at the same time but separately and integrated the results during interpretation; (2) the researchers connected the qualitative and quantitative portions in phases in such a way that 1 approach was built upon the findings of the other approach; and (3) the researchers mixed the 2 data types by embedding the analysis of 1 data type within the other.
CONCLUSIONS:“Mixing” in mixed methods is more than just the combination of 2 independent components of the quantitative and qualitative data. The use of “mixing” procedure in health services research involves the integration, connection, and embedding of these 2 data components.
Journal Article
Development of Electronic Nose for Qualitative and Quantitative Monitoring of Volatile Flammable Liquids
A real-time electric nose (E-nose) with a metal oxide sensor (MOS) array was developed to monitor 5 highly flammable liquids (ethanol, tetrahydrofuran, turpentine, lacquer thinner, and gasoline) in this work. We found that temperature had a significant impact on the test results and temperature control could efficiently improve the performance of our E-nose. The results of our qualitative analysis showed that principal component analysis (PCA) could not efficiently distinguish these samples compared to a back-propagation artificial neural network (BP-ANN) which had a 100% accuracy rate on the test samples. Quantitative analysis was performed by regression analysis and the average errors were 9.1%–18.4%. In addition, through anti-interference training, the E-nose could filter out the potential false alarm caused by mosquito repellent, perfume and hair jelly.
Journal Article
Qualitative and Quantitative Detection of Typical Reproductive Hormones in Dairy Cows Based on Terahertz Spectroscopy and Metamaterial Technology
Progesterone (PROG) and estrone (E1) are typical reproductive hormones in dairy cows. Assessing the levels of these hormones in vivo can aid in estrus identification. In the present work, the feasibility of the qualitative and quantitative detection of PROG and E1 using terahertz time-domain spectroscopy (THz-TDS) and metamaterial technology was preliminarily investigated. First, the time domain spectra, frequency domain spectra, and absorption coefficients of PROG and E1 samples were collected and analyzed. A vibration analysis was conducted using density functional theory (DFT). Subsequently, a double-ring (DR) metamaterial structure was designed and simulated using the frequency domain solution algorithm in CST Studio Suite (CST) software. This aimed to ensure that the double resonance peaks of DR were similar to the absorption peaks of PROG and E1. Finally, the response of DR to different concentrations of PROG/E1 was analyzed and quantitatively modeled. The results show that a qualitative analysis can be conducted by comparing the corresponding DR resonance peak changes in PROG and E1 samples at various concentrations. The best R2 for the PROG quantitative model was 0.9872, while for E1, it was 0.9828. This indicates that terahertz spectral–metamaterial technology for the qualitative and quantitative detection of the typical reproductive hormones PROG and E1 in dairy cows is feasible and worthy of in-depth exploration. This study provides a reference for the identification of dairy cow estrus.
Journal Article
Rapid qualitative and quantitative analysis of methamphetamine, ketamine, heroin, and cocaine by near-infrared spectroscopy
•NIR methods for qualitative and quantitative analysis of drugs have been established.•1118 samples were used for the model building and validation purposes.•The RMSEC, RMSECV, and RMSEP for all models were less than 1.6%, 2.9%, and 3.6%, respectively.
Rapid and nondestructive near infrared spectroscopy (NIR) methods have been developed for simultaneous qualitative and quantitative analysis of methamphetamine, ketamine, heroin, and cocaine in seized samples. This is the first systematic report regarding a qualitative and quantitative procedure of applying NIR for drug analysis. A total of 282 calibration samples and 836 prediction samples were used for the building and validating of qualitative and quantitative models. Two qualitative analysis modeling methods for soft independent modeling by class analogy (SIMCA) and supporting vector machine (SVM) were compared. From its excellent performance in rejecting false positive results, SIMCA was chosen. The drug concentrations in the calibration and validation sample sets were analyzed using high-performance liquid chromatography. Based on the use of first-order derivative spectral data after standard normal variate (SNV) transformation correction, in the wavelength range from 10,000 to 4000cm−1, four partial least squares quantitative-analysis models were built. The coefficients of determination for all calibration models were >99.3, and the RMSEC, RMSECV, and RMSEP were all less than 1.6, 2.9, and 3.6%, respectively. The results obtained here indicated that NIR with chemometric methods was accurate for qualitative and quantitative analysis of drug samples. This methodology provided a potentially useful alternative to time-consuming gas chromatography–mass spectroscopy and high-performance liquid chromatography methods.
Journal Article