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Advanced Quantitative Research (QS903)

Syllabus 2020.21

高级定量研究代写 This module has two main aims: introduce to a set of advanced statistical methods that are commonly used in quantitative social research;

1. Module overview  高级定量研究代写

This module has two main aims: introduce to a set of advanced statistical methods that are commonly used in quantitative social research; and, prepare to make use of statistics in future research works, academic (such as master’s or PhD dissertations) or not. The module consists of nine weeks of teaching. Seminars are designed as ‘hands-on’ computer workshops, giving you direct experience of exploring and analysing data in the R environment. Applications and exercises will be based on existing, real-world, high-quality survey datasets. By the end of the module you should understand the basic principles of the statistical methods covered, appreciate their context of application, and know how to apply them and interpret their results.

QS903 builds on QS905, or on equivalent previous training. If you have not attended QS905, please contact the module convenor, so as to make sure that QS903 suits your needs. QS905 focused on the fundamental principles of data analysis. It was designed both as a stand-alone module, and as a preparation for QS903. QS903 goes more in depth into the same principles, and elaborates further.

QS903 and QS905 compare as follows:

-Continuity on the weekly pattern of progress through Moodle: Slides, recorded lecture, in-lecture quiz, online quiz, exercises and solutions. Additional Q&A can take place on the Moodle Forum for topics of general interest, with everybody encouraged to contribute. Email is available for personal topics (such as on essay titles). If you have a complex personal case to discuss, make A&F appointment on my personal webpage.

-Continuity on face-to-face or online seminars: As much as possible of the exercises should be practiced before the class. Attendance is required and participation strongly encouraged. Class time is for sharing solutions andQ&A.   高级定量研究代写

-Continuityin style: Insistence is on intuitive and geometric demonstrations of concepts and projects.

-Words are capable of expressing statistics, both in the teaching and in your personal projects.

-Difference on content: A bit more equations; some exercises will be replaced by the analysis of published journal articles (QS905 content did not reach publishable levelyet).

-Difference in data: The British Electoral Study (BES) is added to the BSA, ESS and WVS, as datasets for case studies, exercises and essays.  高级定量研究代写

-Difference in assessment: Two short reports, with titles of your choice, instead of one long report with pre-approved titles.

-If you have concerns about your ability to access the module content due to any kind of disability or any practical issues, please contact me and will do my best to accommodate. I am aiming to deliver the module material in a format that is convenient for all participants to use, without exception. Automatic captions are activated for lectures and seminars. However unfortunately seminar recording is impossible for legal reasons.

2. Weekly timetable  高级定量研究代写

Weeks 1-5 and 7-10 for lecture, seminar and individual advice & feedback hours. Week 6 (18.02), aka “reading week”, is not taught.

Lecture

Recorded, asynchronous video clips, released on Monday on Microsoft Stream, with illimited access at your own pace for the rest of the term. Stream transcripts are generated automatically by means of artificial intelligence, so please do not expect 100% accuracy. Please write to me if you notice technical issues. Some weeks, the lecture will be divided in a PowerPoint presentation and an R case study, totalling about an hour.

Seminar

• Group 1: Thursday 9-11 online on MicrosoftTeams
• Group 2: Thursday 11-13 online on MicrosoftTeams
• Group 3: Thursday 14-16, online, then face to face once lockdown will beraised

Choose your group at the beginning of term and please stick to it, for practical reasons. If you request to switch, please write to [email protected].

Advice and feedback (A&F)

Wednesday 16-17 & Friday 14-15 on Microsoft Teams. Please make appointment the day before if possible on my personal webpage. A&F is for questions and issues that have a personal dimension, such as illness, learning difficulty and reasonable adjustments, choice of modules or essay title, as well as advice on personal projects during term, and feedback on essays in March and May.

Moodle releases

Lecture recording (mp4), slides (pdf) and case studies (R), quiz (Moodle questionnaire), and exercises (R): no later than Monday noon.

Solutions to exercises (R): Thursday at 17, one hour after the last seminar class so as to allow everybody to prepare themselves autonomously.

3. Schedule  高级定量研究代写

It will run as follows, with possible minor amendments:

Week 1. Linear regression: advanced issues I

Week 2. Linear regression: advanced issues I

Week 3. Logistic regression I

Week 4. Logistic regression II  高级定量研究代写

Week 5. Reading session

Week 7. Clustering analysis I

Week 8. Clustering analysis II

Week 9. Multilevel analysis I, or Factor analysis I (to be decided)

Week 10. Multilevel analysis II, or Factor analysis II (to be decided)

4. Etiquette on Microsoft Teams

Please refer to the PAIS Netiquette document, available on Moodle. In brief:

• If your connection allows it, please turn your camera on. Otherwise, try and display a sweet image insteadof your default initials (for this, open Teams and click on your initials, then “Change picture”).
• Speak or use the chat at your convenience, depending on your technical conditions.
• If time lacks, no need to rush in and receive a hasty answer; rather wait for the next opportunity (seminar, Moodle forum, email orappointment).
• Do not forget to look at other students’ questions and answers they receive. Take advantage of the group dynamic! Teams chat contents remain accessible after the class is over.

5. Feedback

Detailed feedback will be provided throughout the module seminars, especially collective feedback on weekly activities, and individual written feedback on essays.

You are encouraged to post any question about the content of the module on the Moodle forum: experience shows that there is great benefit for all students to share. Send an email to me for short questions, or request a Team appointment during my weekly A&F hours for longer questions. You may also make appointment out of these hours in case you are attending other modules at the indicated hours.

6. Computers and software  高级定量研究代写

We will be using R and R-Studio, two widespread standards in social science data analysis.

• R and R-Studio are freeware and easy to install: please share between 5 and 20 minutes (depending on yourexperience) to install them on your own as soon as you can, and in any case before your first seminar class. First install the last version of R from r-project.org, then the last, free version of RStudio Desktop on rstudio.com. Excel, a convenient complement for formatting outputs, can be downloaded from the Microsoft Office package on warwick.ac.uk/services/its (often preinstalled) and SPSS on warwick.ac.uk/services/its.
• Face-to-faceseminars take place in a computer room with one post per student, where all softwares are normally pre-installed. You are welcome to use your own laptop as well.  高级定量研究代写

• Outside the seminars, you may use the University Work areas—see the University IT  webpage.

• Ifyou need help with IT, such as about your Windows/Macintosh operating system, software installation or connection issues, please visit the University Help Desk. I am unfortunately materially unable to handle these issues, beyond helping you tailor and use the above-mentioned module-specific
• The University network (such as MyFiles) can be used to store your files and transfer easily between computers.
• Studentswith good-level prior knowledge of other software (Stata, SPSS, SAS…) may use them instead of R for their essay. For those, the rules for assessment will be the same as for R, especially delivering the full syntax in the essay appendix. We are only able materially to cover R in class, exercises, Forum and A&F. If you are unsure what is the best option for you, you are encouraged to follow the R tutorials with the group, and decide later what is the most convenient for you. For the sake of consistency and to prevent confusion, try and use one unique software per essay (Excel remains a useful complement for all to format outputs). It is beneficial to everybody to learn R, whatever your previous experience with alternatives, and whatever your professional prospects.

7. Data

As the focus of the module is on data analysis, and not data collection, we will use secondary data. This year the focus will be on the four datasets below. These are individual-level survey datasets. Skills you will acquire using these data will be easily transferable to other data in your future research. Datasets are available for free for academic purpose, for example from the UK Data Service website.

• TheBritish Social Attitudes (BSA 36, fieldwork 2018) asks over 3,000 people every year what it’s like to live in Britain and how they think Britain is  Since 1983 the survey has been tracking people’s changing social, political and moral attitudes. It informs the development of public policy and is an important barometer of public attitudes used by opinion leaders and social commentators.”
• TheEuropean Social Survey (ESS round 9, 2018) is “a large-scale, cross-national, and longitudinal survey research program on basic human values. It provides insights into the ideas, beliefs, preferences, attitudes, values and opinions of citizens all over  It is a unique research project on how Europeans think about life, family, work, religion, politics and society”.    高级定量研究代写

• The World Values Survey (WVS wave 6, 2010-12), “a global research project, explores people’s values and beliefs, how they change over time and what social and political impact they have.

Since 1981 a worldwide network of social scientists have conducted representative national surveys as part of WVS in almost 100 countries. The WVS measures, monitors and analyses: support for democracy, tolerance of foreigners and ethnic minorities, support for gender equality, the role of religion and changing levels of religiosity, the impact of globalization, attitudes toward the environment, work, family, politics, national identity, culture, diversity, insecurity, and subjective well-being.” Wave 7 is in progress; you may use these data, but make sure the countries you need are available.  高级定量研究代写

• TheBritish Election Study (BES 2017 Post-election Survey), “one of the longest running election studies world-wide and the longest running social science survey in the UK… Surveys have taken place immediately after every general election since 1964… The British Election Study is a non-partisan, objective independent study providing world-class data and research into British general elections. The British Election Study is committed to providing expertise which advances understanding of the British electorate to any interested party, as part of its broad commitment to public engagement and “

All these datasets are long (number of individuals) and wide (number of variables) enough to form the basis of in-depth analyses on many social and political topics.

They differ with respect to their geographical scope and their thematic focus. Some topics are shared by two or three of these datasets, in which case the difference is in the number and formulation of the questions on the topic, as well as in the availability of other, more standard questions.    高级定量研究代写

Note that you may use two or more waves of the same survey for studying historical change or evolutions. Class exercises are limited to the most recent waves, but older waves and cumulative datasets are available. Beware of the size of the files: above 50 Mo, you might have trouble loading and processing the data. To reduce size, consult the documentation and on the web form for data downloading, only request the variables useful to your project.

Whatever the source of the data you use, do not forget to cite their authors as indicated on the documentation or the website.

8. Bibliography and other resources

Full bibliography

Detailed weekly references, with pages and links towards resources, will be available on the Warwick Library Reading list from week 1. Most references are available at the University Library, mostly electronically.

Other resources

In addition to textbooks, you are encouraged to read weekly one article with quantitative analyses in a journal of your discipline. Try and focus, more than on the substance, on the data, methods and tools at play, and how they correspond to the module’s weekly topics. As a matter of routine you could consult the most recent issues of a number of journals as they come into the library and establish for yourselves whether they contain pertinent articles. Search for applications of personal interest, as long as they include similar statistical developments as treated the corresponding week. Some journals tend to reduce quantitative analyses to a race to sophistication, which is sometimes sterile. I rather recommend journals that take a more open- minded approach to methods and publish articles that subordinate methods to research questions.

You could also consult on a regular basis one or more “reference” newspapers (e.g. Financial Times, Independent, Guardian, The Economist), blogs or other websites, where you will find considerable reference to quantitative studies. They provide plenty of examples of good and bad investigation.  高级定量研究代写

You might also consider keeping a close eye on the National Centre for Research Methods materials, which provide introductions to a range of topics:

http://www.ncrm.ac.uk/resources/online/

9. Assessment  高级定量研究代写

Essays are 2,000-word research reports comprising: an explanation of the research question, a succinct literature review, hypotheses, justification of sample and variables, analysis, interpretation, and conclusion.

Essay 1 should focus on one of the methods presented in weeks 1-5 (with possibly other methods from the module as complements), and essay 2, on one of the methods presented in weeks 7-10 (with possibly other methods from the module as complements).

If you attended QS905, you should not reuse the same dataset as in your QS905 essay for any of the QS903 essays. You may work on the same topic as in QS905 (or other modules), such as education, moral attitudes, crime or opinion on public policies, and reuse some of the references, but the wording of your title should differ significantly. The two QS903 essays may rely on the same dataset and the same topic, but their titles should be significantly different. There is no recording of title before submission, as I trust that you are now expereinced enough to formulate your own research question. If you have a doubt about your personal choice of title, feel free to consult me before starting working on it.    高级定量研究代写

Submission deadlines

Monday 22.02 (week 8), noon, on Tabula First essay Monday 19.04 (week 16) , noon, on Tabula Second essay

10. Essay writing

A number of rules are put in place for two reasons: practising social scientific quantitative research in real conditions, and ensuring module-level fairness across all students from distinct courses and disciplines.

Please check in the first place the general assessment rules in your departmental course regulations.

The following rules apply for all in QS903, even where they contradict the regulations from your department, whether PAIS, CIM or other:

1. Deliver your essay in Word, equivalent text format, or pdf in case you are using Latex, Pages or anoher text software.
2. Usethe Essay Submission Cover Sheet available on Moodle, which includes the essay title exactly as you chose it, the word count without illustrations, the total word count and an abstract of 150 to 200 words.  高级定量研究代写
3. Use Times New Roman, size 11, line spacing 1.5 and justified alignment.
4. Be focused and precise in referencing: limit your bibliography to 8 references per essay and always cite pages. Theorising is not a goal per se in this module, only a means to elaborate a meaningful empirical research design.
5. Use Harvard style (many quick guides are available online): references between parentheses, such as ‘(name date: pages)’, together with a complete bibliography at the end of your essay. Do not use more than 10 references per essay. Always indicate pages or chapters.
6. Avoid note.
7. Your appendix shouldcontain:

-Any statistical outputs that are relevant to your essay, but not essential to it.

-A full copy of your syntax corresponding to the software you used. If you are using R, simply copy- paste your source pane into your appendix. The syntax should be structured in sections and subsections, possibly commented, using # sing.

8.Essays should not be more than 2,000 words each, without any minimum. Illustrations (graphs and tables) are included (see point 9 below) but title page, summary, bibliography and appendix are excluded.  高级定量研究代写

9.Fortables and figures a page counts as 400  For example, a table or figure taking up half of a page counts as 200 words out of your 2,000 total. Illustrations should not count for more than 30% of your whole essay (i.e. equivalent to 600 words).

10.Penalties are automatically applied for the followingissues:

Late delivery: 5 marks per 24 hours’ late (each 24 hour period is considered to be one workingday).

Excess length: 5 points for each 5% (100 words) in excess, or part thereof, that is: 5 pts between 2,501 and 2,600, 10 pts between 2,601 and 2,700,

Academic misconduct (plagiarism, etc.): when the marker suspects such a case, the essay is immediatelytransferred to the departmental plagiarism committee, which then

investigates.Do not take a chance.

LEARNING OUTCOMES
(By the end of the module the student should be able to….)	Which teaching and learning methods enable students to achieve this learning outcome? (reference activities in section 15)	Which summative assessment method(s) will measure the achievement of this learning outcome? (reference activities in section 16)
Subject knowledge and understanding · Acknowledge the strengths and weaknesses of quantitative methods · Be aware of and manipulate the fundamental notions of data management and statistics · Be aware of the role of statistical software and the best way to deal with them.	· Lectures and in class demonstrations (every week) · Core readings and discussions · Optional readings from list provided · Weekly formative tests	Final essay
Cognitive Skills    · Have the ability to read quantitative studies, extract concepts and discuss the results · Be able to connect a research question with appropriate data, tools and research design · Assess and cite published literature  高级定量研究代写	· Lectures and in class demonstrations (every week)  高级定量研究代写 · Home exercises with in-class correction · Compulsory readings and discussions · Optional readings from list provided · Weekly formative tests · Essay preparation (week 1 to deadline) · Essay feedback (end of term)	Final essay
Key Skills; Subject-Specific/Professional Skills · Know how to plan a basic research project and convince about its relevance · Conduct quantitative research autonomously · Present results in writing in a rigorous manner.	· Home exercises with in-class correction · Optional readings from list provided · Weekly formative tests · Essay preparation (week 1 to deadline) · Essay feedback (end of term)	Final essay

 

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