scholarly journals FROM THE CLASSROOM TO THE WORKPLACE: HOW SOCIAL SCIENCE STUDENTS ARE LEARNING TO DO DATA ANALYSIS FOR REAL

2017 ◽  
Vol 16 (1) ◽  
pp. 80-101
Author(s):  
JACKIE CARTER ◽  
MARK BROWN ◽  
KATHRYN SIMPSON

In British social science degree programmes, methods courses have a bad press, and statistics courses in particular are not well-liked by most students. A nationally-coordinated, strategic investment in quantitative skills training, Q-Step, is an attempt to address the issues affecting the shortage of quantitatively trained humanities and social science graduates. Pedagogic approaches to teaching statistics and data analysis to social science students are starting to indicate positive outcomes. This paper contributes to these debates by focusing on the perspective of the student experience in different learning environments: first, we explain the approach taken at the University of Manchester to teaching a core quantitative research methods module for second-year sociology students; and second, we introduce case studies of three undergraduates who took that training and went on to work as interns with social research organisations, as part of a Manchester Q-Step Centre initiative to take learning from the classroom into the workplace. First published May 2017 at Statistics Education Research Journal Archives

2015 ◽  
Vol 14 (2) ◽  
pp. 28-52
Author(s):  
JAMES BAGLIN ◽  
JOHN REECE ◽  
JENALLE BAKER

Many recent improvements in pedagogical practice have been enabled by the rapid development of innovative technologies, particularly for teaching quantitative research methods and statistics. This study describes the design, implementation, and evaluation of a series of specialised computer laboratory sessions. The sessions combined the use of an online virtual world, cloud collaboration technology, and a statistical package inorder to simulate the entire data investigative cycle. The sessions covered multiple topics, research designs, and data analysis techniques relevant to psychology. Quantitative and qualitative feedback data regarding students’ perceptions of the sessions were analysed. The results demonstrate promising support for the use of Island-based sessions, but improvements and further research will be required. First published November 2015 at Statistics Education Research Journal Archives


2020 ◽  
Vol 19 (1) ◽  
pp. 92-105
Author(s):  
RHYS CHRISTOPHER JONES

The Welsh Baccalaureate qualification has been adopted by most secondary schoolswithin Wales. In years 12 and 13 (ages 16-18), 50% of the qualification requires students tocollect primary data and also conduct secondary data analysis to write a 5000 word investigative report. To help teachers develop effective teaching strategies and resources, Welsh Government funding enabled key networking events to establish a teacher conference. This paper describes the supportive nature and potential portability of theconference to help teachers’ delivery of critical thinking and data analysis skills. The impact of the conference over the last three years is also discussed, utilising delegate feedback. First published February 2020 at Statistics Education Research Journal Archives  


2020 ◽  
Vol 10 (2) ◽  
pp. 49
Author(s):  
Saiful Latif ◽  
Mardia A Rahman

The aim of this research is to know the extent to which the use of English song improves students’ vocabulary at Madrasah Aliyah Negeri 1 Halmahera Utara. This research was quantitative research by using pre-experimental design with one group pretest-posttest. The sample of this research was 20 students in class  X-3 Social science students by using convenience sampling technique. The instrument used in the research was the song lyrics. The students’ answer the question by determining noun, verb and adjective of  vocabulary consisting of 50 items. The data were analyzed by using t-test. It was found that teaching vocabulary by using English Song helped the students to master vocabulary. Based on the data analysis, teaching by using English Song could significantly improve students’ vocabulary.The research  shows the score of pre-test and posttest as follow:  pretest 58.9 score and posttest 75.1 score, and T-count value obtain 12.7 and t critic 1.729 at the significant level 0.05. It means t-count is higher that t-critic. The null hypothesis (H0) stating that teaching vocabulary through English song cannot improve students vocabulary is rejected and the alternative hypothesis (Hi) stated that teaching vocabulary through English song can improve students’ vocabulary mastery at Madrasah Aliyah Negeri 1 Halmahera Utara is accepted.


2017 ◽  
Vol 16 (1) ◽  
pp. 26-30
Author(s):  
SINCLAIR SUTHERLAND ◽  
JIM RIDGWAY

Statistical literacy involves engagement with the data one encounters. New forms of data and new ways to engage with data – notably via interactive data visualisations – are emerging. Some of the skills required to work effectively with these new visualisation tools are described. We argue that interactive data visualisations will have as profound an effect on statistical literacy as the introduction of statistics packages had on statistics in social science in the 1960s. Current conceptualisations of statistical literacy are too passive, lacking the exploration part in data analysis. Statistical literacy should be conceived of as empowerment to engage effectively with evidence, and educators should seek to move students along a pathway from using interactive data visualisations to building them and interpreting what they see. First published May 2017 at Statistics Education Research Journal Archives


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.


2021 ◽  
Vol 7 (2) ◽  
pp. 121-127
Author(s):  
Riska Febriani

As an educational institution that implements the 2013 curriculum, the school will directly apply the appropriate assessment, namely the Authentic assessment. The purpose of this study was to determine the implementation of Authentic Assessment on thematic subjects at the fifth grade of SDN 003 Sungai Salak, Tempuling District, this study used descriptive quantitative research methods.  The result of the data analysis concluded that the implementation of authentic assessment in thematic learning in Class V SDN 003 Sungai Salak, Tempuling District was categorically as good.


2020 ◽  
Vol 5 (1) ◽  
pp. 1-11
Author(s):  
Muh. Awaluddin Hamdy ◽  
Nurul Jamala ◽  
Ramli Rahim ◽  
Baharuddin Hamzah ◽  
Rosady Mulyadi ◽  
...  

Title: Natural Light Intensity Analysis in Classroom; Case Study: Classroom at Bosowa University Lighting is an important part of buildings in supporting the productivity of human labor. Insufficient lighting can interfere with human activities and could cause health problems, like eye disorders. Building design must consider the functions and needs so that residents can feel comfortable. Good lighting levels can be achieved by utilizing natural and artificial lighting. The purpose of this study was to analyze the level of illumination in a room that is directly related to the openings of the building envelope and to analyze the different levels of illumination in classrooms with different orientations. Quantitative research methods by distributing measurement data in the form of tables, diagrams and graphs. Data analysis was performed using statistics and data analysis techniques, the results of the measurement were statistically descriptive. This study analyzed the differences in the level of illumination in the northern orientation and southern orientation classrooms. Based on the results of the analysis it can be concluded that the orientation of the building affects the level of illumination in the room. During the day the level of illumination is higher in the direction of orientation north than the direction of orientation south, especially the measurement point in the area close to the openings of the building envelope, but in this study the direction of classroom orientation towards the south is higher the level of illumination compared to the north orientation classrooms. This is understood by the treatment of building glass sheaths in the north orientation direction in the form of the use of frosted glass wallpaper, so it can be concluded that changes to the building facade affect the level of room illumination. The results of this study are expected to be a reference in building facade concepts and designing energy-efficient buildings.


2020 ◽  
pp. 79-110
Author(s):  
Paul Thompson ◽  
Ken Plummer ◽  
Neli Demireva

This chapter looks at how social research gradually became organized through the work of our pioneers. It starts by looking at the growth of both universities and academic disciplines (like anthropology and sociology) as key backgrounds for understanding the growth of organized research. A major section discusses a range of early research agencies — the Colonial Research Council, Political and Economic Planning (PEP), the Institute of Community Studies, the CSO (Central Statistical Office), the SSRC, Social Science Research Council, and the UK Data Archive. Some new university-based centres are also considered: medical social science at Aberdeen, methods at Surrey and the BCCS (Birmingham Centre for Contemporary Cultural Studies). There are brief discussions of the Banbury Study with Meg Stacey and Colin Bell; and the Affluent Worker study. The chapter closes with some pioneering work on quantitative research, longitudinal studies and the rise of computing.


2015 ◽  
Vol 2 (2) ◽  
pp. 17-23
Author(s):  
Siren Siren ◽  
Erik Pranata

The research aims to understand how much the influence of work discipline has on employee productivity from Prudential City Palangka Raya employees. The research methods used in this study are quantitative research methods. Data collection in the form of observations and questionnaires. The data analysis technique in this study used the correlation analysis of the product moment according to Sugiyono (2012:212). The results concluded that the work discipline of Prudential insurance employees in the city of Palangka Raya is still lacking and not as expected. Judging from employees often come late, the salary received is improper, lack of appreciation, absence of written sanctions and lack of immediacy as Co-Office. Working discipline is very positive and significant towards the work productivity of insurance employees in the city Palangka Raya. From the results obtained by using the product correlation formula when the value is Rxy 0.995948.


2010 ◽  
Vol 9 (2) ◽  
pp. 22-34
Author(s):  
PAV KALINOWSKI ◽  
JERRY LAI ◽  
FIONA FIDLER ◽  
GEOFF CUMMING

Our research in statistical cognition uses both qualitative and quantitative methods. A mixed method approach makes our research more comprehensive, and provides us with new directions, unexpected insights, and alternative explanations for previously established concepts. In this paper, we review four statistical cognition studies that used mixed methods and explain the contributions of both the quantitative and qualitative components. The four studies investigated concern statistical reporting practices in medical journals, an intervention aimed at improving psychologists’ interpretations of statistical tests, the extent to which interpretations improve when results are presented with confidence intervals (CIs) rather than p-values, and graduate students’ misconceptions about CIs. Finally, we discuss the concept of scientific rigour and outline guidelines for maintaining rigour that should apply equally to qualitative and quantitative research. First published November 2010 at Statistics Education Research Journal: Archives


Sign in / Sign up

Export Citation Format

Share Document