Teaching quantitative research methods: the employability factor

Author(s):  
Charlotte Brookfield

Various initiatives have been launched to encourage sociology students studying in the UK to engage more with quantitative research methods (for example: Dale et al., 2008; Adney and Carey, 2009; Falkingham et al., 2009), however, their success has been limited. Embedding quantitative methods in substantive sociology curricula has been suggested as one way to reduce students’ anxieties about learning quantitative research methods (Williams et al., 2015). This approach has been employed at Cardiff University’s School of Social Sciences, where quantitative skills have been strategically incorporated into various aspects of a first year undergraduate substantive module. This paper will reflect on the experience of teaching on this module. The paper will conclude that while the introduction of quantitative content into substantive modules indicates support for change, embedding alone cannot be viewed as a single solution to encouraging to students’ to learn about or utilise quantitative research methods. Two possible reasons for this will be suggested. Firstly, it will be argued that the majority of students no longer pursue sociology at degree level in order to gain the skills to become a competent social researcher, but rather see sociology as a discipline that will equip them with transferable and desirable skills for many occupations. Consequently, engagement with quantitative research methods is not essential to students’ strategic approach to learning as it was for previous generations who wished to understand how to study their social world. Secondly, it will be suggested that the deficit of quantitative methods in mainstream British sociology journals and the methodological preferences of practicing sociologists leads to speculation over the available staff who are capable of delivering an integrated curriculum with quantitative methods embedded in substantive modules.

2017 ◽  
Vol 1 (1) ◽  
pp. 1-8
Author(s):  
Tona Aurora Lubis ◽  
Zulkifli Zulkifli ◽  
Muhammad Safri

This research is important and interesting, especially for Jambi province since studies first year will be able to classify the fishermen catch with the system clusterisasi, able to identify and analyze the impact of energy efficiency and cost to the level of income of fishermen fishing, formulate a model of the development of energy efficiency and cost against income level with clusterisasi fishermen catch, as well as the first study of formulating a development model of energy efficiency and cost to the level of income by fishermen catch clusterisasi This study uses a combination of research methods (mixed method), which is a combination of qualitative and quantitative research methods. The type of research used is a combination of Exploratory Sequential Design, which is in the early stages of research using qualitative methods and the next phase using quantitative methods. The conclusion of this study is clusterisasi fishermen in Jambi Province can be classified into three categories: full of fishermen, and fishermen main sideline, as well as additional odd fisherman. The impact of energy efficiency and cost to the level of fishing income generating variable Energy Efficiency and Cost (EEB) to four (4) indicators reflective namely: the type of vessel (JK), speed boat (KK), operation of a ship (OK), the pattern of arrests (PP) and variable Fishermen performance Capture (KNT) with (a) a reflective indicator is the level of income (TP). A model of energy efficiency and cost against pendatan with clusterisasi fishermen fishing in the province of Jambi is that energy efficiency and cost (EEB) which is reflected by speed boat (KK) and ship operations (OK) has a significant influence on the performance of the fishermen catch (KNT) reflected income level (TP). This study is important and interesting in order to get funding for this research study second year (2017), so it can answer Fator factors internal and external that affect the welfare of fishermen fishing in the province of Jambi.


Numeracy ◽  
2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Charlotte Brookfield ◽  
Malcolm Williams ◽  
Luke Sloan ◽  
Emily Maule

In 2012, in a bid to improve the quantitative methods training of social science students in the UK, the £19.5 million Q-Step project was launched. This investment demonstrated a significant commitment to changing how we train social science students in quantitative research methods in the UK. The project has involved eighteen higher education institutions exploring and trialling potential ways of engaging social science students with quantitative approaches. This paper reflects on the activities of one Q-Step centre based in the School of Social Sciences at Cardiff University. As well as describing some of the pedagogic changes that have been implemented, the paper draws on data to begin to evaluate the success of new approaches. Specifically, data showing the proportion of students undertaking a quantitative final-year dissertation project is used to measure the impact of these activities. The data presented in this paper suggest that resistance to learning quantitative research methods and engaging with such techniques has decreased. The data also indicates that students see this learning as beneficial for their own employability. Despite this, closer analysis reveals that several students change their mind about employing quantitative methods in their own research part way through their dissertation journey. We argue that while social science students are comfortable learning about quantitative approaches, they are less confident at applying these techniques. Thus, the paper argues that there is a wider challenge of demonstrating the relevance and appropriateness of such approaches to understanding the social world.


2000 ◽  
Vol 5 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Steven S. Yalowitz ◽  
Marcella D. Wells

In visitor studies, there has been some debate about the use of qualitative versus quantitative research methods. Many evaluators understand the advantages and disadvantages of both methods, but deciding on the most appropriate method can still be problematic. This article summarizes the tenets of both qualitative and quantitative methods and provides examples of visitor studies for each. It also reviews several research studies that have successfully used mixed methods to evaluate visitors.


Author(s):  
Brian D. Haig

This book is concerned with the conceptual foundations of research methods. In particular, it undertakes a philosophical examination of a number of different quantitative research methods that are prominent in, or relevant for, the conduct of research in the behavioral sciences. By doing so, the deep structure of the methods is examined in order to overcome the shallow and uncritical understanding that is typically provided by textbooks and other instructional sources. The methods submitted to critical examination are important and mostly well known. They are exploratory data analysis, statistical significance testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. The treatment of the research methods examined is consistent with a philosophy of scientific realism. Theories of scientific method feature prominently in the discussions of the research methods. Each chapter contains a Further Reading section in order to help the reader extend their thinking beyond what the chapters contain.


Politics ◽  
2009 ◽  
Vol 29 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Katharine Adeney ◽  
Sean Carey

The teaching of quantitative research methods is an integral part of most postgraduate programmes in politics, but less common at undergraduate level. This article explores the extent to which research methods in general, and quantitative research methods in particular, form part of the curricula of Politics departments in the UK. We then discuss an approach for motivating interest in a subject that tends to be unpopular with many students. We recommend an approach that utilises the links between the general quantification of politics with the quantitative study of political phenomena, as well as a combination of basic research methods for all and more advanced student-focused training for some.


2019 ◽  
Vol 75 (1) ◽  
pp. 24-28
Author(s):  
Davide Provenzano ◽  
Rodolfo Baggio

Purpose The purpose of this paper is to provide an overview of past perspectives and future trends in tourism and hospitality research. Design/methodology/approach The study grounds the discussion on the timeline evolution of quantitative research methods. Findings Although still under-recognized by scholars, mixed methods represent the future of research in tourism and hospitality. Research limitations/implications The investigation is confined to quantitative methods. Originality/value No other surveys sketch a period of 150 years of quantitative analyses in tourism and hospitality.


Author(s):  
Manuela Heinz

Engaging part-time Master of Education students in the study of quantitative research methods is challenging. The majority of them lead busy lives as teachers and/or education leaders, attend their MEd classes in the evenings and plan to engage in small-scale qualitative research for their theses. In this context, it has been hard to motivate students to engage critically and deeply with quantitative research methods. A widespread deficit view of their own competency in mathematics and computing, which are often considered essential, further compounds the problem. This paper describes the redesign of a quantitative methods module and the resulting changed experiences of students. Findings from this practitioner research study point to the positive impact of using a real national data set – the Growing Up in Ireland Dataset – on students’ engagement and appreciation of the value of quantitative research in education.


2019 ◽  
Vol 2 (4) ◽  
pp. 515-543 ◽  
Author(s):  
Changjun Yue ◽  
Xiaowen Xu

Purpose: This article reviews the development of quantitative methods in educational research in China since 1978. Design/Approach/Methods: For this summary and literature review, we used data from the China National Knowledge Infrastructure (CNKI), relevant books, and research output from the Graduate School of Education, Peking University. Findings: We divided the development of quantitative methods in Chinese educational research into four stages: the Startup Stage (1978–1988), the Gradual Application Stage (1989–1998), the Growth Spurt Stage (1999–2008), and the Integrated and Diverse Development Stage (2009–2018). Overall, the development of quantitative methods in Chinese educational research shows sustained innovation in numerous aspects, including research methods, data sources, utilization of advancements in computing technology and statistical software, and research topics. However, despite the relatively advanced state of quantitative methods, education measurement and evaluation require further attention. The questionnaire and experimental research data currently available indicate the need to improve the mining and utilization of big data. Moreover, while Chinese educational researchers have demonstrated their proficiency in using quantitative research methods, improvements remain to be made with respect to collaboration and sharing. Originality/Value: This article is the first to analyze systemically the development of quantitative methods in Chinese educational research. It provides an original summary of the development and characteristics of quantitative methods in educational research in China.


2019 ◽  
Vol 25 (2) ◽  
pp. 219-235
Author(s):  
Kevin Ralston

Worry about learning maths and statistics has been widely researched internationally but very little of this work has focussed on sociology. It is well documented that sociology students can be reluctant to engage with statistical methods. This article provides an exploration of the relationship between anxiety of statistics and its antecedents in sociology students. The analyses presented are based upon data collected from over 30 universities in the UK and is the most comprehensive sample of its type. The primary aim of this article is to analyse whether the perceived epistemological legitimacy of statistics, among sociology students, is associated with reported statistics anxiety. The results show that epistemological legitimacy is highly associated with reported statistics anxiety. Confidence in maths is also strongly associated with statistics anxiety. The implications of acknowledging these and other pedagogical issues in teaching quantitative research methods are complex and layered. Measures capturing whether students accept the epistemological legitimacy of statistical methods should be routinely incorporated in research examining statistics anxiety.


2021 ◽  
pp. 83-98
Author(s):  
J. Myles Shaver

This chapter discusses general trends in quantitative research methods since the early 1980s. It then highlights five contemporaneous issues with respect to the application of quantitative methods within the field—including the tension of simultaneously seeking causal identification and examining meaningful strategy questions. Taking the perspective that a key goal of quantitative strategy research is to aid decision-makers by providing rigorous evidence-based strategic management insights, the chapter proposes practices that, if embraced, will advance the rigor and impact of future quantitative research. A central consideration is addressing issues of causal identification through a cumulative body of research and the importance that research designs play in this consideration. In concluding, the chapter acknowledges significant advances in quantitative methods in the field while noting directions in which the field should continue to evolve.


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