Quantitative Research

Top PDF Quantitative Research:

An Approach to the Integration of Qualitative and Quantitative Research Methods in Software Engineering Research

An Approach to the Integration of Qualitative and Quantitative Research Methods in Software Engineering Research

instance, if we want to research the efficiency of several chips to different tempera- tures using the number of tasks chips can process per hour, we use a quantitative research method of two factors: the type of chip and the different temperatures. On the contrary, if we want to analyse how to improve the effectiveness and efficiency of a project team, we use interviews, surveys, etc. and data will be analysed above all using nets and matrixes. In this case, the experiment will be utterly qualitative. Never- theless, if we want to analyse the efficiency of a certain paradigm (time of construc- tion of an application) depending on the program language within a project team, we will need a quantitative experiment with two factors: paradigm and type of language and a qualitative experiment to study the human factor. This qualitative experiment will show us the reasons for the quantitative results.
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A Corpus-based Study of Writer Identity in Qualitative and Quantitative Research Articles

A Corpus-based Study of Writer Identity in Qualitative and Quantitative Research Articles

In terms of frequency of the singular and plural pronouns, the analysis showed that singular pronouns were underused in the quantitative data (with only 32 occurrence). This can be attributed to the assumption that the quantitative research must be “objective” and impersonal. This is in line with previous research which showed that the first person singular pronouns were non-existent or were used very rarely in hard disciplines (Hyland 2005, Kuo 1999, Lafuente Millen 2010). As Hyland (2012, p.128) states, first person singular pronouns are “the most visible manifestation of an authorial identity” and the lack of their use might be an attempt to “avoid personal responsibility that subjectivity entails” (Hyland 2002, 1107). As Starfield (2015, p.255) points out, avoidance of singular pronouns in academic writing is an “unwritten rule” set by those “with authority in university and world of publication” (Starfield 2015, p. 249). Chang and Swales (1999, p. 149) associate the use of I with an “informal” style which is more appropriate for speech than the “standard formal and impersonal styles of academic writing” (p. 145). However, the data of this study along with several other studies (Hyland 2002, Ivanič, & Camps 2002, Tang & John 1999) show that the use of “I” is not completely omitted from academic writing and some authors deviate from the “traditional rule” (Cameron 1995, p. 34) of avoiding it and use it to interact with their audience.
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AN ANALYSIS OF THE STRENGTHS AND LIMITATION OF QUALITATIVE AND QUANTITATIVE RESEARCH PARADIGMS

AN ANALYSIS OF THE STRENGTHS AND LIMITATION OF QUALITATIVE AND QUANTITATIVE RESEARCH PARADIGMS

in the end, people who consider themselves primarily qualitative or primarily quantitative tend to be almost as diverse as those from the opposing camps. there are qualitative researchers who fit comfortably into the post-positivist tradition common to much contemporary quantitative research. and there are quantitative researchers (albeit, probably fewer) who use quantitative information as the basis for exploration, recognizing the inherent limitations and complex assumptions beneath all numbers. in either camp, intense and fundamental disagreement about both philosophical assumptions and the nature of data. increasingly, there are researchers who are interested in blending the two traditions, attempting to get the advantages of each. social research is richer for the wider variety of views and methods that the analysis generates. the eclectic approach is thus not an option in educational research
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Relationship Between Banks and Customers: a Quantitative Research Approach

Relationship Between Banks and Customers: a Quantitative Research Approach

In this paper, we intend to conduct a quantitative research with the questionnaire method. According to Blaxter et al, (1996), quantitative research methods are chosen because quantitative strategies are seen as more scientific and objective compared to other strategies. In addition, the key feature of quantitative research is that it is or aims to be a planned, careful, systematic and reliable way of finding a deep understanding.

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Understanding quantitative research: part 2

Understanding quantitative research: part 2

An understanding of basic statistics will help nurses to interpret the strength of findings within a research paper. Staying abreast of developments in hea lth research and using this knowledge to improve patient care can be both challenging and rewarding for nursing staff. Key to this is having a good understanding of the significance of the findings, which allows nurses to confidently assess the strength of the research evidence and whether its implementation in practice is supported. Statistics is a complex subject and is not always easy to comprehend, but it does become easier to understand with familiarity. The broad scope of this subject means it is not possible to incorporate all aspects of statistical analysis, but the article provides an overview of common statistical terms relevant to presenting statistical data within quantitative research papers. We strongly encourage nurses to build their knowledge of statistics and take advantage of opportunities to use this when appraising the evidence of research papers.
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Applied Quantitative Research - Syllabus.pdf

Applied Quantitative Research - Syllabus.pdf

The aim of the course is to provide students with a hands-on introduction to some of the most advanced research methods in economics, such as regression discontinuity design, instrumental variables, differences-in-differences, and a range of experimental approaches to establish causality. The objective of the course is not to enable students to use these methods themselves. Rather, after finishing the class students will be able to understand why and when these methods are useful (1), how they work (2), and be able to follow, evaluate and participate in discussions of research papers that use these methods (3). The ultimate objective of the class is to provide students with an understanding of what a powerful tool applied quantitative research can be to answer questions that otherwise can often not easily be answered.
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QUANTITATIVE RESEARCH ON FINANCIAL LITERACY LEVELS IN SINGAPORE

QUANTITATIVE RESEARCH ON FINANCIAL LITERACY LEVELS IN SINGAPORE

1.2.2 The survey data was weighted to the Singapore population (18 – 60 years old) according to gender, age and race statistics from the Department of Statistics, Census 2003, so as to derive a result representative of the Singapore population. It should, however, be noted that the research covered only analysis of findings based on the responses of those surveyed. It does not include analysis of or comparison with findings of other research projects. The scope of the survey was also limited by the need to ensure that the survey questionnaire was kept to a manageable length. In addition, as the survey was done face-to-face and most Singaporeans regard their financial decisions as personal matters, the survey questions were kept broad- based.
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Against the unanticipated consequences of quantitative research evaluation: the Leiden Manifesto for research metrics

Against the unanticipated consequences of quantitative research evaluation: the Leiden Manifesto for research metrics

25 Cfr. Merton, The Unanticipated Consequences of Purposive Social Action cit.. Questi strumenti, se male utilizzati, possono essere molto pericolosi. Gli indica- tori bibliometrici, ut[r]

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EDUC 715 Quantitative Research Plan  J Sitka.pdf

EDUC 715 Quantitative Research Plan J Sitka.pdf

The bridge of a commercial vessel at sea, is usually manned by a single officer. This person job is to make the critical decision in the absence of the master. There are international requirements that direct this officer to notify the master of the vessel to get help in maneuvering and decision- making under special circumstance. Studies have suggested that the majority of maritime accidents are the results of human error and most of those incidents are attributed to the bridge officer. The purpose of this correlation research design study is to test if inappropriate decision- making in junior offers is related to low self-efficacy. The study will test 50 junior officers at an east coast maritime school, simulating a critical situation using a full bridge simulator. The dependent variable is decision-making will be generally defined as the process of choosing one or more options. The dependent variable will be generally defined as a person’s belief in one's ability to succeed in specific situations or self-efficacy. The participant is required to call the ship’s master when a special circumstance occurs. When the participant fails to make the decision to call the master, it is hypothesized that it is a result of low self-efficacy.
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Qualitative vs Quantitative research & Multilevel methods

Qualitative vs Quantitative research & Multilevel methods

• Multilevel methods account for data that is nested in higher order data. • Nesting means that a unit belongs to a category, which is a unit of another[r]

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Fundamentals of quantitative research

Fundamentals of quantitative research

Survey research uses scientific sampling and questionnaire design to measure characteristics of the population with statistical precision. It seeks to provide answers to such questions as "How many people feel a certain way?" and "How often do they do a certain behavior?" Survey research enables management to make comparisons between groups. It provides estimates from a sample that can be related to the entire population with a degree of certainty (e.g., 57% of the population +/- 3% will answer the question this way 95% of the time). Survey research requires that respondents are "randomly" sampled - that means that each person in the population has a known probability of being sampled. There are defined techniques, such as random digit dialing and sampling procedures to ensure a scientific sample. In developing a survey, you would normally work with a statistician to build a statistically valid sampling plan, a researcher to develop a survey instrument and research objectives, and a reputable field service that has the capacity to conduct large scale interview projects. It is important to work with experts because the quality of the survey can be affected by the research instrument.
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Quantitative Research on Country Risk Index of Chinese Overseas Investments

Quantitative Research on Country Risk Index of Chinese Overseas Investments

This paper takes the similar survey methods like Forlend, S&P, and Moody (Kaplan and Ruback, 1995; Best, 2010; Moody, n.d; S&P, n.d) index to investigate thoroughly all kinds of country risks which are facing the Chinese overseas investment companies, and trying to figure out the weights of these risks from their influences on Chinese overseas investment companies. Furthermore, a comprehensive country risk index is summarized up from these risks. From the data of major foreign countries’ risk factors which Chinese capitals are flowing to, creative new quantitative models are derived for the risk factors considered in this paper such as political risk, nature risk, etc., by using the novel rank methods and regression approach. After these, the final country risk index model which is used to act as a risk warning index for Chinese overseas investment are presented. The comparisons are made from S&P, Moody (Moody, n.d; S&P, n.d) with the new model here.
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Quantitative research in tourism and hospitality:an agenda for best practice recommendations

Quantitative research in tourism and hospitality:an agenda for best practice recommendations

Interest in quantitative methodologies across various areas of tourism and hospitality research has increased significantly in recent years. To provide some best practice recommendations, this article identifies primary area of concern, and provides an agenda for methodological improvements. We rely on comments from several methodological experts in the field, as well as our main observation of the literature. In particular, we focus on the following issues: “building better regression models”, “checking and remedying the effect multicollinearity”, “properly testing for shape, main effect and moderation in curvilinear models”, “assessing the predictive ability of your model”, “do not abuse the p-value:, “thinking beyond conventional regression methods”, “more dependence on panel data”, “more dependence on the Bayesian approach for hypothesis testing and model estimation”, and finally, “shifting toward better practices in structural equation modelling”.
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MPI Quantitative Research Series

MPI Quantitative Research Series

Our analysis shows that quantitative hedge fund strategies are often easier to understand than commonly thought–despite the associated clout of computer- driven arbitrage. In the case of the highly visible Renaissance Institutional Equities Fund, significant assets under management, a large number of positions and the directional nature of the strategy provided sufficient “diversification material” and inertia for returns-based analysis to obtain keen insight into the fund’s behavior-using only two years of monthly returns.

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MPI Quantitative Research Series

MPI Quantitative Research Series

This is by no means an easy task. Considerable time, experimentation, experience and judgment are required to assign and continually adjust the baselines across product types. When this is achieved, a combination of high-frequency data (i.e., daily, weekly), returns-based style analysis, and risk monitoring techniques such as value-at-risk can improve the quantitative assessments within the due diligence framework. In the case of Oppenheimer’s Core Bond fund, such techniques may have allowed investment practitioners to detect that the fund’s risk/return profile and associated exposures had changed in a more timely way. This information could have potentially been used to take more aggressive action and avoid severe losses.
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MPI Quantitative Research Series

MPI Quantitative Research Series

Introduction Carmignac Patrimoine, the largest mutual fund in Europe with AUM of more than 27 billion Euros 1 , has been on investors’ radar screens for quite some time. Following impressive relative returns in the recent financial market downturn over 2007-2009, coupled with over twenty-one years of consistently steady risk- adjusted performance – especially in down markets, Carmignac Patrimoine has grown from 3 to 27 billion Euros AUM over the last three years. Thanks to its excellent performance history and star manager, Edouard Carmignac, the fund has become a common core holding in many investors’ portfolios. Given its size, performance and popularity, a thorough quantitative analysis of this fund is definitely called of interest to many investors.
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MPI Quantitative Research Series

MPI Quantitative Research Series

In the chart below we show the return differential between the fund and the CISDM Technology Index (representing average returns of hedge funds in the Technology category)1. The result[r]

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A QUANTITATIVE RESEARCH ON THE HOSPITALITY & TOURISM SECTOR

A QUANTITATIVE RESEARCH ON THE HOSPITALITY & TOURISM SECTOR

Respondents stated that, if current local training providers were not meeting their needs, they would train their employees themselves even though the cost of training was high. Stakeh[r]

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Book Review: Advancing quantitative methods in second language research.

Book Review: Advancing quantitative methods in second language research.

statistical after basic views. He mentioned sufficient advantages and disadvantages in writing a method for quantitative research, considering advantage point of this view we should avoid several problems to compare with each other in the study. He demanded students that accuracy and precision of measuring in research is necessary as variables are observable and quantifiable in the study it can be manifested by other analytical writers, the researcher should place null hypothesis as well as the importance of examining the descriptive statistics, the researcher should avoid to compare multiple problems that multiple dependent variables would be quantified by ANOVA or MANOVA that is possible to analyze the data with more variables, increasing statistical power, broadening research perspective, aligning research analysis more closely to the way that people think, reducing redundancy of variables, expanding types of variables, getting more flexibility in analysis, and simultaneously addressing multiple levels of analysis. It is clearly mentioned profitable points by James Dean Brown to consider advantages of learning statistical analysis and writing a good methodology for the study. He has mentioned disadvantages points as well as advantages, such as we have large sample size produce meaningful interpretation but we do not have this chance in the study to test on large sample, additional assumptions that ANOVA robust to violate additional assumption, need for data screening and complexity of analysis, all explanations are reliable and mainly focus on exact information that a researcher needs to know and it is potentially understood by researchers who have done such studies before or they want to become more powerful in their next steps for future studies. PART II. ENHANCING EXISTING QUANTITATIVE METHODS
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The design and evaluation of a critical appraisal tool for qualitative and quantitative health research

The design and evaluation of a critical appraisal tool for qualitative and quantitative health research

qualitative and quantitative research CAT. The scope of research methods was examined next through the use of mind maps. This exploration was required so that the design of a CAT could be situated within an overall understanding of research methods. A critical review of how CATs are designed was the final part of secondary data analysis. This review of 45 papers informed the design of the proposed critical appraisal tool, which was based on empirical evidence and the nature of research methods rather than subjective or biased assessments of what a critical appraisal tool could include.
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