Abstract:This study explored university students' views of whether they will need research skills in their future work in relation to their approaches to learning, situational orientations on a learning situation of quantitative methods, and difficulties experienced in quantitative research courses. Education and psychology students in both Finland (N = 46) and the USA (N = 122), who thought that they would need research skills in their future work, differed significantly from the students who were not sure whether the… Show more
“…Here, it is noted that the active support of colleagues not teaching quantitative methods is needed in order to positively challenge students' misconceptions concerning the value and role of 'numbers analysis' within their degree subject and for graduate employment. This would also serve to decrease their anxiety and increase their confidence in their ability to complete numeric study tasks, including conducting a statistical analysis (Murtonen et al, 2008). Finally, existing work recommends that universities provide additional mathematical and statistical skills support services for students who struggle to grasp key statistical concepts and procedures relevant to undertaking quantitative research (Matthews et al, 2012).…”
Section: Counting Better? An Examination Of the Impact Of Quantitativmentioning
confidence: 99%
“…Falkingham and McGowan, 2012;Linden, 2012;Murtonen and Lehtinen, 2003) as well as what the student response is to attempts to broaden quantitative method teaching provision and introduce numbers and numeric study tasks more generally within the curriculum (e.g. Carey and Adeney, 2009;Murtonen et al, 2008).…”
Section: Counting Better? An Examination Of the Impact Of Quantitativmentioning
Counting better? An examination of the impact of quantitative method teaching on statistical anxiety and confidence
John Martyn ChamberlainLoughborough University, UK
John HillierLoughborough University, UK
Paola SignorettaLoughborough University, UK
AbstractThis article reports the results of research concerned with students' statistical anxiety and confidence to both complete and learn to complete statistical tasks. Data were collected at the beginning and end of a quantitative method statistics module. Students recognised the value of numeracy skills but felt they were not necessarily relevant for graduate employability and preferred to study with words rather than numbers. A significant reduction in anxiety and increase in confidence to complete statistical tasks were found. Students seemed to feel more confident about doing and learning less complex procedures. Results reinforce the need to provide students with additional mathematical and statistical support outside of quantitative method courses as well as that numeric learning materials and study tasks need to be embedded across the curriculum within substantive disciplinary modules. The design of numeric study tasks needs to be carefully considered to ease the transition for students from simple to more complex statistical procedures while simultaneously reinforcing the importance of numeracy skills for examining substantive disciplinary topics and promoting graduate employability.
“…Here, it is noted that the active support of colleagues not teaching quantitative methods is needed in order to positively challenge students' misconceptions concerning the value and role of 'numbers analysis' within their degree subject and for graduate employment. This would also serve to decrease their anxiety and increase their confidence in their ability to complete numeric study tasks, including conducting a statistical analysis (Murtonen et al, 2008). Finally, existing work recommends that universities provide additional mathematical and statistical skills support services for students who struggle to grasp key statistical concepts and procedures relevant to undertaking quantitative research (Matthews et al, 2012).…”
Section: Counting Better? An Examination Of the Impact Of Quantitativmentioning
confidence: 99%
“…Falkingham and McGowan, 2012;Linden, 2012;Murtonen and Lehtinen, 2003) as well as what the student response is to attempts to broaden quantitative method teaching provision and introduce numbers and numeric study tasks more generally within the curriculum (e.g. Carey and Adeney, 2009;Murtonen et al, 2008).…”
Section: Counting Better? An Examination Of the Impact Of Quantitativmentioning
Counting better? An examination of the impact of quantitative method teaching on statistical anxiety and confidence
John Martyn ChamberlainLoughborough University, UK
John HillierLoughborough University, UK
Paola SignorettaLoughborough University, UK
AbstractThis article reports the results of research concerned with students' statistical anxiety and confidence to both complete and learn to complete statistical tasks. Data were collected at the beginning and end of a quantitative method statistics module. Students recognised the value of numeracy skills but felt they were not necessarily relevant for graduate employability and preferred to study with words rather than numbers. A significant reduction in anxiety and increase in confidence to complete statistical tasks were found. Students seemed to feel more confident about doing and learning less complex procedures. Results reinforce the need to provide students with additional mathematical and statistical support outside of quantitative method courses as well as that numeric learning materials and study tasks need to be embedded across the curriculum within substantive disciplinary modules. The design of numeric study tasks needs to be carefully considered to ease the transition for students from simple to more complex statistical procedures while simultaneously reinforcing the importance of numeracy skills for examining substantive disciplinary topics and promoting graduate employability.
“…The students' beliefs and views about statistics may determine the extent to which they are anxious about it and may determine their ways of learning (Murtonen et al 2008). Students who consider research skills important for their future career tend to have a low level of statistics anxiety and use a deep learning approach to solve problems (Murtonen et al 2008).…”
Numerous instructional strategies have been applied to minimize statistics anxiety. Instructors are likely to consider those strategies a burden and may hesitate to apply them in their courses if there is a lack of continuous support. Open educational resources (OERs) enabled by information and communication technology have the potential to resolve this concern owing to their cost-effectiveness and to the prolific collections available. OERs can be adopted through reuse, redistribution, revision, and remix. Although a few former studies proved that technology could effectively reduce statistics anxiety, fewer studies demonstrated the effective adoption of OERs through reuse, redistribution, revision, and remix when coping with statistics anxiety. The purpose of this study was threefold. First, from earlier studies, we identified instructional strategies used to reduce statistics anxiety. Second, according to those instructional strategies, we assisted instructors in selecting and customizing OERs through reuse, redistribution, revision, and remix and in applying them in introductory statistics/quantitative research methodology courses. Third, we investigated the students' perceptions of the use of OERs to reduce statistics anxiety. The findings indicated that students had a positive reaction to the use of OERs to reduce statistics anxiety. Through this study, we can establish a rigorous approach to adopting and customizing OERs for various instructional needs in an interdisciplinary curriculum.
“…These factors can affect the students' level of engagement, motivation and success in their learning (Murtonen et al 2008, Ramos & Carvalho 2011. The research literature has suggested that teaching quantitative skills through substantive, subject-based content (rather than directly introducing abstract quantitative content) can help reduce anxiety and frustration (Bridges et al 1998, Jackson & Johnson 2013.…”
Amidst growing concern about the shortage of social science undergraduate students with even basic quantitative methods skills, student apprehension is recognised as a barrier to learning quantitative methods. A recent ESRC-funded project has sought to overcome such fear and anxiety through the design of a cross-disciplinary social sciences unit for first-year undergraduates. The unit aimed to capture students' imaginations by the use of 'quantitative narratives' -descriptions of current social issues or controversies that allow quantitative concepts to be introduced in a contextualised way. This paper presents findings from the qualitative evaluation of the unit. It considers the attitudes and experiences of students who covered a spectrum of social science subjects, self-cited levels of confidence and prior experience of statistics. A typology of students taking the course is presented, revealing the challenge of meeting the needs of all students. Conclusions consider the implications of this evaluation both for the development of quantitative methods curricula and wider considerations for cross-disciplinary teaching in higher education.
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