Sydney, Australia Nvivo For Mac

2020. 1. 25. 02:14카테고리 없음

Sydney, Australia Nvivo For Mac

Fundamentals of NVivo 12 for Mac Online Course (AUD). Online Course Asia Pacific. This workshop is for NVivo 12 for Mac users. We also offer Fundamentals.

This unit introduces advanced data analysis skills for the social sciences through workshops based on secondary data analysis and project work. The unit will apply all of the skills and capabilities learned through the social science program to the analysis of data in practice. Topics covered include a review of basic quantitative statistics, the development of these skills through forms of regression and the analysis of variance, as well as methods of coding qualitative data for analysis.

Practical classes are based on the use of the SPSS statistical package are supported by a choice of secondary data analysis or theoretical library-based projects. Background knowledge of social statistics and social research methods is strongly recommended for prospective students of this unit.

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Academic Honesty Academic Honesty is an intergral part of the core values and principles contained in the Macquarie University Ethics Statement. Its fundamental principle is that all staff and students act with integrity in the creation, development, application and use of ideas and information.

This means that:. All academic work claimed as original is the work of the author making the claim. All academic collaborations are acknowledged. Academic work is not falsified in any way. When the ideas of others are used, these ideas are acknowledged appropriately More information is available from Policy Central. University Grading Policy The grade that a student receives will signify their overall performance in meeting the learning outcomes of the unit of study. Graded units will use the following grades HD High Distinction 85-100 D Distinction 75-84 Cr Credit 65-74 P Pass 50-64 F Fail 0-49 Return of Marked Work As per university policy, written assessments will be returned to students within three weeks of the submission date.

Early assignments will not be marked early. And, the short class test held during the examination period at the end of semester will not be returned to students. Special Consideration (Extensions) The University recognises that students may experience events or conditions that adversely affect their academic performance. If you experience serious and unavoidable difficulties at exam time or when assessment tasks are due, you can consider applying for Special Consideration. You need to show that the circumstances:. were serious, unexpected and unavoidable. were beyond your control.

caused substantial disruption to your academic work. substantially interfered with your otherwise satisfactory fulfilment of the unit requirements.

lasted at least three consecutive days or a total of 5 days within the teaching period and prevented completion of an assessment task scheduled for a specific date. More information about Special Consideration is available.

Late Penalties Unless a Special Consideration request has been submitted and approved, (a) a penalty for lateness will apply – two (2) marks out of 100 will be deducted per day for assignments submitted after the due date – and (b) no assignment will be accepted more than seven (7) days (incl. Weekends) after the original submission deadline.

No late submissions will be accepted for timed assessments – e.g. Quizzes, online tests. Campus Wellbeing Macquarie University offers a range of wellbeing services (including but not limited to: health, welfare, counselling, disability and student advocacy services) that are available to you at any time during your studies.

Campus Wellbeing is here to support you and help you succeed, both academically and personally. More information is available. Assessment Tasks Name Weighting Hurdle Due 15% No 4th April 25% No 9th May 50% No 9th June 10% No Ongoing.

Short Quiz 1 Due: 4th April Weighting: 15% This short quiz will consist of 15 multiple choice questions and you will have 20 minutes to complete it. You will be asked to read each question and select the BEST response from the available options. The short quiz is designed to provide you with an early insight into how you are going in the course. It will draw on course materials from the lectures and workshops. The online quiz will become available on Tuesday 3rd April and you can undertake the quiz until Wednesday 4th April (at 11:59 pm EST). It will become available via the SSCI300 iLearn page. The quiz can only be taken once and it is up to you to ensure that you have time available to undertake the quiz. More information will become available in the early weeks of semester.

Please follow the Special Consideration policy when applying for an extension. As per the Faculty of Arts policy, no late submissions will be accepted for the online quiz without an extension. N.B. In the event of technical difficulties, it is your responsibility to contact the unit convenor before the due date and follow the instructions on iLearn of the process to follow in notifying the university. We advise you to ensure that you can access the link to the quiz on Tuesday 3rd April (without starting the quiz unless you want to). This Assessment Task relates to the following Learning Outcomes:. Learn how to analyse and interpret data collected from social research using a range of techniques. Learn how to develop hypotheses for quantitative data analysis. Actively develop skills in interpreting data and the results generated by social research in an ethical and responsible manner.

Further develop oral and written communication skills for conveying research results in an ethical, responsible and engaged manner to a range of audiences. Short Quiz 2 Due: 9th May Weighting: 25% This short quiz will be administered online via the course iLearn page.

Students will have 40 minutes to complete the quiz (including 5 minutes reading time). It will focus on course materials up to week 8.

The main focus of this quiz will be on practical applications of quantitative analysis techniques in the social sciences. Be warned that interpreting SPSS regression output will be tested in this quiz. The quiz will comprise multiple-choice and short answer questions.

Marks will be awarded for correct answers, but will not be deducted for incorrect ones. The quiz is designed to provide students with an indication of how well they are going with the course and offer further incentive to attend both lectures and workshops. Please follow the directions provided closely when answering short answer questions to avoid losing marks. The online quiz will become available on Monday 7th May and you can undertake the quiz until Wednesday 9th May (at 11:59 pm EST).

It will become available via the SSCI300 iLearn page. The quiz can only be taken once and it is up to you to ensure that you have time available to undertake the quiz. More information will provided in weeks 7 and 8 of semester. Please follow the Special Consideration policy when applying for an extension. As per the Faculty of Arts policy, no late submissions will be accepted for the online quiz without an extension.

N.B. In the event of technical difficulties, it is your responsibility to contact the unit convenor before the due date and follow the instructions on iLearn of the process to follow in notifying the university. We advise you to ensure that you can access the link to the quiz on Monday 7th May (without starting the quiz unless you want to). This Assessment Task relates to the following Learning Outcomes:. Learn how to analyse and interpret data collected from social research using a range of techniques. Actively develop skills in interpreting data and the results generated by social research in an ethical and responsible manner. Further develop oral and written communication skills for conveying research results in an ethical, responsible and engaged manner to a range of audiences.

Research Analysis Task Due: 9th June Weighting: 50% The major assessment for SSCI300 is a research report of 1,800 to 2,000 words. This task requires you to exercise your social research imagination to analyse secondary data in relation to a specific research topic.

Both the research topics and associated datasets for this task will be provided and become available on the SSCI300 iLearn page during the mid-semester break. Each of the options requires a different balance of qualitative and quantitative analysis to be undertaken. This task will require you to select a research topic (and its related dataset) from the options made available on the iLearn page. You will need to do some background reading on the topic and critically reflect on it. This task will also require you to analyse qualitative and/or quantitative data using appropriate techniques that we cover in the course, and, write up your findings in the format of a report.

And, this task will require you to write a reflection on using NVivo to analyse qualitative data as an appendix (this appendix does not have to count toward you word count, but it should be no more than 350 words). This task should be submitted via Turnitin and it will be marked via GradeMark. Please do not submit hard copies of this task and ensure that you have access to the Turnitin link well before the due date. More information about this task, the three options, how to present it and how to analyse data will be provided in the lectures, workshops and on the iLearn page. N.B. As an important part of this task is to reflect on appropriate uses of computer software in the social sciences, you are required to use NVivo to analyse the data you are provided with. SPSS should also be used if relevant to your research question and data. More information about how to access these software programs will be provided during the semester.

Workshop Engagement Due: Ongoing Weighting: 10% The online weekly workshops are compulsory. You are required to contribute to at least 80 per cent to meet course requirements.

Contributing to workshops is particularly important in this course because of its practical focus. In addition to contributing to online workshops, you are also expected to actively participate in them. You can demonstrate active engagement by participating in workshop activities (in both the qualitative and quantitative modules of the course). We will look for evidence that you have done the workshop activities and your ability to engage respectfully with other students.You might like to share some of your results to the SPSS and NVivo activities, as well as your reflections upon them. Reflections might focus on what your experience of using the software programs and results imply for social science research methodologies and, where relevant, what implications your findings have for understanding society. You can also demonstrate engagement by posing questions to other students and responding respectfully to questions asked by others. As an incentive, 10 per cent of your final mark will be awarded based on your participation and engagement. The online workshops can be found in each weekly tab in the iLearn page.

Students are encouraged to demonstrate that they have completed the weekly activities. These online workshops are for class discussions, rather than one-on-one conversations with the online tutor or unit convenor. Lecture and workshop times Lectures will take place in on Mondays from 9am to 11am.

External students can access lecture recordings and visual materials used via ECHO360 on iLearn. External students are also welcome to attend lectures in person. Online workshops for external students will take place on a weekly basis via the weekly tabs on iLearn.

Please note that you should contribute and participate to the online workshops within one week of the lecture for it to count towards your active participation mark. Technology used The following technologies are used in SSCI300. ILearn Important information about the weekly schedule for SSCI300, course readings and assessment are all available on the course iLearn page. If you do not have access, please contact IT help.

You are required to check iLearn and your student email regularly for course updates and information. ILab iLab is the university's Remote Desktop system that allows you to connect to university computers remotely.

This allows you to use SPSS (and NVivo) over the internet on an off-campus computer (desktop computer or laptop). Please note that NVivo can also be downloaded from the Software Downloads section of the student portal. More information will be provided in class sessions and is available here. In the event that students cannot access iLab, the university has some computers with SPSS and NVivo in the library and C5C computer labs that are available to students outside of class hours.

Please note that these labs can become very busy in peak periods. Turnitin and GradeMark The written assessment for SSCI300 needs to be submitted via Turnitin. A link to Turnitin is available via the Assessments tab on the iLearn page. Please contact the convenor if you cannot find it (do not leave it until the day of the assessment). Assessments will be marked via GradeMark and returned to students electronically. SPSS and NVivo We will use both SPSS and NVivo in SSCI300.

Students have access to both programs free of charge on in the workshops, on campus in the library computer labs and off-campus through iLab (see above). If you have a PC or a Mac, you can download a copy of NVivo from the software downloads section of the student portal on the Macquarie University website (note that the Mac version of NVivo has fewer features). We will be using the PC version in class. Textbooks This course draws on one required textbook: Bazeley, P. Jackson (2013) Qualitative Data Analysis with NVivo, 2nd Edition, Sage: Thousand Oaks. For those interested in a textbook for the first half of the course, the following is recommended (but not required): Pallant, J. (2013) SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS, 5th Edition, Allen & Unwin: Sydney.

Readings on e-reserve Additional readings for the course should be available free-of-charge via e-Reserve. E-Reserve has been incorporated into the MultiSearch tool that is accessible via the Macquarie University library website. Changes since the last offering of this unit This course has not been offered externally in previous years. Unit Schedule. Macquarie University policies and procedures are accessible from. Students should be aware of the following policies in particular with regard to Learning and Teaching:. ( Note: The Special Consideration Policy is effective from 4 December 2017 and replaces the Disruption to Studies Policy.) Undergraduate students seeking more policy resources can visit the.

It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey. If you would like to see all the policies relevant to Learning and Teaching visit. Student Code of Conduct Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: Results Results shown in iLearn, or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in. For more information visit. Student Support.

Our graduates will take with them the intellectual development, depth and breadth of knowledge, scholarly understanding, and specific subject content in their chosen fields to make them competent and confident in their subject or profession. They will be able to demonstrate, where relevant, professional technical competence and meet professional standards.

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They will be able to articulate the structure of knowledge of their discipline, be able to adapt discipline-specific knowledge to novel situations, and be able to contribute from their discipline to inter-disciplinary solutions to problems. This graduate capability is supported. As local citizens our graduates will be aware of indigenous perspectives and of the nation's historical context. They will be engaged with the challenges of contemporary society and with knowledge and ideas. We want our graduates to have respect for diversity, to be open-minded, sensitive to others and inclusive, and to be open to other cultures and perspectives: they should have a level of cultural literacy.

Sydney, Australia Nvivo For Mac

Sydney Australia Nvivo For Mac

Our graduates should be aware of disadvantage and social justice, and be willing to participate to help create a wiser and better society. This graduate capability is supported.

Nvivo 11 Manual For Mac

Hi Jack, and sending to everyone cos it might be useful, Simona recommended 'Audacity' which I've since used without hiccups in interviews - it's a free program that records on your laptop. I've been using Audacity + dictaphone to record simultaneously. The sound on Audacity is not quite as good as a dictaphone but great to know it's always with you in case of dictaphone problems, or even worse, when you go to pick up a pre-booked dictaphone and it's not in the cupboard. Dragon: I haven't used it but I hear (pardon pun) it's not good at recognising different voices. Cheers Eleanor.

Sydney, Australia Nvivo For Mac