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Course profile

Introduction to Social Research (SOCY2019)

Study period
Sem 1 2026
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 1, 2026 (23/02/2026 - 20/06/2026)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Social Science School

This course introduces students to the foundations, tools, and techniques of social research. It does this by embedding questions of method into a broad framework of research design and analysis so that research is approached as a holistic enterprise in which theory, method and analysis are interrelated. Rather than simply offering a suite of different qualitative and quantitative research methods for students to trial, this course takes as its starting point the kinds of questions researchers pose about the social world and the various methodologies and methods that inform these questions. It also encourages students to be critical about their research practice and to consider the ways that research has supported the project of settler colonialism in its treatment of Indigenous peoples and communities. Students will be introduced to Indigenous perspectives on research, not only as subjects of research by non-Indigenous researchers, but as skilled researchers with their own ways of knowing, being and doing. The course also exposes students to the affordances of Generative AI in research and equips them with the skills to become ethical and critical users of GenAI across the research process. On completion of this course, students will be skilled in the art of reflexive, ethical and methodologically rigorous social research. 

Welcome to SOCY2019 - Introduction to Research. This course is a second level course for sociology, criminology and social science students, as well as students from other programs who are seeking to develop an understanding of the theory and practice of social research. One of the problems with conventional methods courses is that the technical issues of research methods (i.e., the manner through which data are generated or analysed) are taken as the starting point for subsequent discussion which means that many methods courses are typically designed as either quantitative or qualitative. The result is a failure to appreciate that the broad principles of good research are the same regardless of method and the creation of methodological silos where researchers gravitate to one approach at the expense of the other. It also reinforces the idea that research begins with method. In practice, however, the research methods we choose are influenced by a whole range of other, more fundamental, decisions about the kind of research questions that we want answered, the features of social life that we want to explore, the concepts through which we understand them, and the question of 'what counts as data' for those features of social life, however we define them. This is the approach we take in SOCY2019.

But good research is not simply about the successful deployment of research tools and techniques in a way that is consistent with methodological traditions. Good research takes a critical look at itself to reflect on how it reinforces power differentials between researcher and researched, and knower and known. These power relations are inherent in all forms of research when it is the researcher rather than the research participant who typically selects the topic, the population of interest, the methods, and the interpretation of data. Researchers have become increasingly aware of these power dynamics over time and often seek to manage them through greater reflexivity in their practice and the use of more participatory and action-oriented methods. But, as you will see in this course, research has also historically supported the project of settler colonialism in many countries across the world, including Australia, where the settlement of incoming populations has been accompanied by structures and systems that eradicate, reduce or control existing populations. The effects of colonial settlement and the role that researchers have played in this process are still very much alive today. In this course, you will start to engage critically with research as a colonial practice by seeing how research is typically experienced from the standpoint of Indigenous and other marginalised peoples but you will also learn, from Indigenous authors, the methodologies, ethics and practices that they are using to foreground the knowledges, priorities, and values of Indigenous

Another advancement in social research is the development of Generative Artificial Intelligence (or Gen AI). Gen AI incorporates tools such as ChatGPT, Chat PDF, Microsoft Bing, Claud, Chat and Google Bard that can assist in the research process. The development of Gen AI has created huge opportunities as well as practical and ethical challenges in the way we work and study, including concerns over infringement of copyright for material used in generating content without the authors’ permission, and the heightened risk to the integrity of your work if you draw on material sourced externally without proper attribution. The material produced by Gen AI can also be factually incorrect (it makes things up), susceptible to bias, lacking in creativity and critical insight, and unable to grasp the meaning, subjectivity and the depth of human experiences – all skills that are fundamental to social scientists.

But Gen AI is also hugely beneficial to the research process, particularly in helping summarise large volumes of data, coming up with ideas for research projects, researching answers to your questions, providing inspiration in your writing, and even drafting content. But it will only work well if you are already skilled researchers with the capacity to discern whether the outputs of Gen AI are of sufficient quality and meet the brief of what you have been asked to do. In this course, you will learn to use Gen AI in an informed and critical way to help with various aspects of the research process.

For more information on the use of Gen AI for your studies more broadly, check out the following UQ guides and resources:ᅠ

Using AI tools in your studies: https://uq.pressbooks.pub/digital-essentials-artificial-intelligence/chapter/using-ai-tools-in-your-studies/#study-help

Using AI in your Studies – Digital Essentials: https://web.library.uq.edu.au/research-tools-techniques/digital-essentials/artificial-intelligence?p=3#3

Course requirements

Assumed background

This course introduces students to the principles and practices of social research. There is no requirement for you to have completed any previous methods training although some prior social science learning will be useful.

Course contact

Course coordinator

Dr Sandra Buchler

Course staff

Lecturer

Dr Sandra Buchler
Professor Lynda Cheshire

Tutor

Miss Natalie Maihi
Dr Graham Lee
Ms Emily McConochie
Ms Josi Tabosa
Dr Hanne Worsoe

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

Timetables are available on the UQ Public Timetable.

Additional Timetable Information

Your learning will take place through a blended learning approach that aligns course delivery modes with core learning priorities following the curriculum design model of Wiggins and McTighe (2005). This is intended to give you flexibility in how you study, through:

  • Self-paced online material that you can study in your own time at your own pace;
  • Weekly lectures on the core ideas relating to research, with the course coordinators;
  • Biweekly (every second week) interactive tutorials where you practice your skills as a researcher in collaboration with other students under the guidance of a tutor.

Teaching staff do not have access to the timetabling system to help with class allocation. Therefore, should you need help with your timetable and/or allocation of classes, please ensure you email the School of Social Science Administration Team at student.socsci@uq.edu.au from your UQ student email account with the following details: full name, student ID, and course code. 

Please read the course material on UQ Extend before you come to class. You may struggle with some of the conversations and activities in class if you have not done so. You are still strongly encouraged to attend all classes to maximise your learning and the application of your research skills even if you have not prepared. You will learn more by coming along and listening than you will if you do not come at all because you have not prepared.

Reference: Wiggins, G. and McTighe, J. (2005) Understanding by Design, Alexandria, VA: Association for Supervision and Curriculum Development.

Aims and outcomes

The aim of this course is to equip students with an understanding of the theory and practice of social research. Its goal is not only to equip students with skills in particular data-generation techniques (e.g., interviews, ethnography and social surveys), but also for students to approach social research as a holistic enterprise in which theory, method and analysis are interrelated. Rather than simply offering a suite of different research methods for students to trial, this course takes as its starting point the kinds of questions researchers pose about the social world and the various methodologies and methods that inform these questions and influence the way research is conducted. It also encourages students to be critical about their research practice, first by engaging with the decolonising perspectives of Indigenous scholars on the importance of conducting respectful, reciprocal and culturally appropriate research with Indigenous peoples and communities, and second by developing skills in the ethical use of Generative AI in the research process. On completion of this course, students will be skilled in the art of reflexive, ethical and methodologically rigorous social research. 

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Design methodologically coherent research across all stages of the research process

LO2.

Demonstrate a growing capacity to undertake research with Indigenous peoples and communities guided by Indigenous values and priorities

LO3.

Make ethical choices in the design and conduct of social research

LO4.

Apply and transfer social research skills in a variety of contexts and domains

LO5.

Demonstrate critical use and appraisal of Gen. AI in the research process

Assessment

Assessment summary

Category Assessment task Weight Due date
Paper/ Report/ Annotation, Reflection Assignment 1 Problem Statement 30% 800 words

1/04/2026 2:00 pm

Submit via Course Blackboard Ultra (TurnItIn).

Paper/ Report/ Annotation Assignment 2 Article Review 30% 1,000 words

5/05/2026 2:00 pm

Submit via Course Blackboard Ultra (TurnItIn)

Examination Assignment 3 Exam
  • Hurdle
  • Identity Verified
  • In-person
40% approximately 1,000 words

End of Semester Exam Period

6/06/2026 - 20/06/2026

A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.

Assessment details

Assignment 1 Problem Statement

Mode
Product/ Artefact/ Multimedia, Written
Category
Paper/ Report/ Annotation, Reflection
Weight
30% 800 words
Due date

1/04/2026 2:00 pm

Submit via Course Blackboard Ultra (TurnItIn).

Learning outcomes
L04, L05

Task description

The goal of this piece of assessment is to learn the concept of a problem statement, how to formulate research questions and observe the use of AI in research. Identifying a research topic, writing it up in the form of a problem statement, explaining why the issue is research worthy and formulating workable research questions are the first set of skills that researchers need. Learning about the ethical use of AI and the impact it might have on research is also integral to the future of social inquiry. If you prefer not to use Gen AI, please see an alternative option for assessment in the Notes section below.

There are four parts to this assignment:

1. Select your topic and test out Gen AI (not in word count)

Identify a suitable research topic that interests you (note, this topic will also be used in Assignment 2, Article Review). Experiment with producing a problem statement and research questions using any Gen AI tool. If you are new to Gen AI, consider using ChatGPT since a user guide has been provided for you on Blackboard Ultra. Using whatever prompts you like, see how close you can get to generating a quality research problem and research questions that relate to your chosen topic. 

What you want Gen AI to produce is: 1) a problem statement on your selected topic including 4-7 academic references; 2) two research questions that logically connect to the problem statement. Your final problem statement and research questions should total 350 words, so take this into account.

Paste all prompts and the Gen AI output into “Part 1” of your assignment. This is not included in your word count.

2. Critically assess the Gen AI’s problem statement and RQs (350 words)

Your next task is to critically assess the problem statement that Gen AI has produced. In 300 words, review the problem statement and research questions and evaluate the quality of the output according to the criteria of responsible and ethical AI use (as learned in class). Consider the following issues (identified in the course learning materials): 1) Relevance; 2) Ethics; 3) Accuracy; 4) Quality. You may use references to assist you.

3. Personal Reflection (100 words)

Write a short personal refection on how you found the experience of using Gen AI for this assignment. Where did you find it useful and what were its shortcomings? What additional work do you now need to do to revise the output so that it works as a research problem statement and strong set of research questions. If you are happy with the problem statement and research questions produced by Gen AI, write why this is the case.

4. Finalise your Problem Statement and RQs (350 words)

Submit a 350 word problem statement (with 4-7 academic references) including two associated research questions. If your critical assessment of the Gen AI output told you that the Gen AI version was insufficient, revise, rewrite or redo the problem statement and research questions as much as you think is necessary to create a quality piece of work. If you feel that Gen AI was unable to produce an acceptable problem statement you may start from the beginning and write your own. If you were happy with the problem statement and research questions produced by Gen AI you may submit them for your assignment exactly as they were outputted. Remember to give your problem statement a title too!

NOTES:

The maximum word count for this assignment is 800 words excluding the reference list, appendices, or Gen AI prompts or output. A deviation of 10% of the word count for each section is allowable.

If you would prefer not to use Gen AI for this task, you may submit an alternative piece of assessment. The amended parts are as follows: 1) critically reflect on your decision not to use Gen AI and the ethics associated with this decision (350 words); 2) write your own problem statement (with 4-7 academic references) and associated research questions (350 words); 3) your personal reflection on the process of undertaking this piece of assessment, including what were the benefits and challenges of not using Gen AI (100 words). 

When preparing your reference list, ensure you use an acknowledged academic referencing system (e.g., APA). The list of referencing styles used at UQ can be found here. It does not matter which one you use (although footnotes are not acceptable), as long as the referencing style is consistent.

You must reference and acknowledge which Gen AI tool(s) you used, every prompt and all associated output. Provide a note if you used an Agent, and how this Agent was set up. Failure to reference externally sourced, non-original work can result in Academic Misconduct. For information on how to cite and acknowledge Gen AI content, see https://guides.library.uq.edu.au/referencing/acknowledging-and-referencing-ai .

University of Queensland guidelines state: Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance. A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct. Additional resources are available through UQ AI Student Hub.

Submission guidelines

You must submit your assessment electronically by the due time, on the due date. 

Your assessment must be submitted via Turnitin on Blackboard Ultra. To submit your assessment electronically log in to Blackboard Ultra with your UQ username and password and navigate to the relevant submission link for that assessment item on Blackboard Ultra. No emailed submissions of assessments will be accepted. 

By submitting your assessment through Turnitin, you confirm that all work is your own, except where properly referenced. Only submit assessments that contain your original work. 

You are required to retain proof of submission of your assessment. Your Digital Receipt is available for download from your Assignment Dashboard. If you cannot see your submission and download your digital receipt within a few hours, your assessment has not been successfully submitted; please submit again.  

If you are experiencing technical difficulties with Blackboard, please contact the ITS Support Team

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.

Please note that from Semester 2, 2025 the Assessment Procedure has changed. You must submit your application on or before the assessment due date and time.  

Grounds of an Extension 

A list of acceptable reasons for an extension and the evidence you must provide can be found here. Your request may be refused if you do not meet the acceptable reasons for an extension. All extension requests must be accompanied by documentation that supports the reason for the request. The student submitting the request is fully responsible for all supporting documentation that is provided with the request and should ensure all documents are authentic. 

Students registered with Student Support and Wellbeing Services / SAP 

In the School of Social Science, extensions granted on the basis of registration with Student Support and Wellbeing Services (SSWS) or a Student Access Plan (SAP) will be the lesser of 7 calendar days or the maximum extension allowable for the assessment task. 

More information is provided in Part D of the Assessment Procedure. 

Discretionary Extensions 

You are eligible for a discretionary extension for a single assessment task per semester of study for a duration of 48 hours, with no documentation required. You can apply if the assessment task allows (see the course profile for details) and if it is your first extension request for that assessment.  

You cannot receive an extension using both discretionary grounds and SAP grounds for the same assessment and must select one basis when making their initial request. 

Maximum Extension Requests 

You can request a maximum of 3 extensions for the same assessment task. If a third extension is necessary, you must submit an Assessment Management Plan in addition to your supporting documentation with your request. If after the third approved extension you submit the assessment late, late penalties will apply. 

Late Extension Applications 

Late applications must include evidence of the reasons for the late request, detailing why you were unable to apply for an extension by the due date and time. The School of Social Science will not accept personal statements. 

Additional information 

Extension requests are processed and managed by the School of Social Science Administration Team. Course Coordinators are unable to grant extensions directly.  

Extensions in your final semester of study could delay your graduation to the next graduation period. 

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Assessments will not be accepted if it is more than one week (7 calendar days) late without prior approval. 

Assignment 2 Article Review

Mode
Written
Category
Paper/ Report/ Annotation
Weight
30% 1,000 words
Due date

5/05/2026 2:00 pm

Submit via Course Blackboard Ultra (TurnItIn)

Learning outcomes
L01

Task description

The goal of Assignment 2 is to learn how to identify and assess the methodological coherence of empirical research studies. By ‘methodological coherence’ we mean the extent to which a study's research design, concepts, research questions, data collection methods, and analysis align. Simply put, how well do the different parts of the research study fit together to match what the researchers are trying to find out.

There are four parts:

1. Select 4 empirical articles

Using your online literature searching skills and UQ databases, select four empirical articles that examine the same topic that you developed for Assignment 1, Problem Statement. Each empirical article should approach your research topic from a different methodological perspective with each one exploring different features of social life relevant to your topic (refer to your class materials to assist you with this task).

The chosen empirical articles can be journal articles or book chapters but must be empirical works, meaning they use primary or secondary data sources (interviews, surveys, etc.) to examine specific research questions or hypotheses. Articles limited to a literature review or systematic reviews are not adequate. We recommend choosing, where possible, at least one non-Western empirical article (see details in notes section below).

2. Provide your Problem statement (not in word count)

Paste your title and problem statement from Assignment 1 into the start of Assignment 2. This not part of the word count and does not need to be revised. If revising the problem statement and/or research questions makes the completion of Assignment 2 easier, moderate edits may be undertaken (this will not be graded).

3. Article Review (1000 words)

Write a critical review of the methodological coherence of each empirical article separately, comprising roughly 250 words per article. Reflect on the following:

  1. What, specifically, does each paper focus on in the context of your chosen topic?
  2. What are the aims, research questions or hypotheses of the study?
  3. What concepts are being used in each article and how are they defined and operationalised?
  4. What research method(s) does the study use, and how do the methods link to the research aim(s) or question(s) – is this made clear to the reader?

4. Reference List and Appendices (not in word count)

Include a reference list. Be sure to correctly reference where your original problem statement and research questions have been created by Gen AI.

NOTES:

The maximum word count for this assignment is 1000 words excluding the reference list or appendices. A deviation of 10% of the word count is allowable.

When preparing your reference list, ensure you use an acknowledged academic referencing system (e.g., APA). The list of referencing styles used at UQ can be found here. It does not matter which one you use (although footnotes are not acceptable), as long as the referencing style is consistent.

Western forms of knowledge have historically been privileged over Indigenous and other non-Western ways of knowing. Researchers often replicate and reinforce this marginalisation by selecting readings and reference materials written by scholars using Western paradigms and/or that treat Indigenous and other minority groups as objects of research, but not as research partners. It is important to be aware of this bias in your work and to overcome it by actively seeking out and including research materials that highlight the important contribution to scholarship and practice of Indigenous scholars and those working outside the Western paradigm. To this end, you are strongly encouraged to find at least one research article written by authors working beyond a traditional Western paradigm, such as Indigenous or other minority scholars, where relevant to your topic.

To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of Gen AI. If you rely only on Gen AI outputs for this assignment, you will not develop the skills you need to design methodologically sound research projects that logically connect the research questions, aims and methods. Thus, we ask you to be ethical in your use of Gen AI. For example, write up your responses to each of the sections above, and at most, ask Gen AI to act as an editor or soundboard to improve your argumentation. Many journal articles or book chapters that you will have access to via UQ’s library, will not be fully available to Gen AI platforms (as they are not open-source). Uploading articles that you have downloaded from a university-subscribed database to a Gen AI platform constitutes a breach of copyright.

Any use of Gen AI for this piece of assessment must be fully referenced and acknowledged, in each instance that it is used. Failure to reference externally sourced, non-original work (e.g. output from Gen AI) can result in Academic Misconduct. For information on how to cite Gen AI content, see https://guides.library.uq.edu.au/referencing/acknowledging-and-referencing-ai. A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct. 

Submission guidelines

You must submit your assessment electronically by the due time, on the due date. 

Your assessment must be submitted via Turnitin on Blackboard Ultra. To submit your assessment electronically log in to Blackboard Ultra with your UQ username and password and navigate to the relevant submission link for that assessment item on Blackboard Ultra. No emailed submissions of assessments will be accepted. 

By submitting your assessment through Turnitin, you confirm that all work is your own, except where properly referenced. Only submit assessments that contain your original work. 

You are required to retain proof of submission of your assessment. Your Digital Receipt is available for download from your Assignment Dashboard. If you cannot see your submission and download your digital receipt within a few hours, your assessment has not been successfully submitted; please submit again.  

If you are experiencing technical difficulties with Blackboard, please contact the ITS Support Team

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.

Please note that from Semester 2, 2025 the Assessment Procedure has changed. You must submit your application on or before the assessment due date and time.  

Grounds of an Extension 

A list of acceptable reasons for an extension and the evidence you must provide can be found here. Your request may be refused if you do not meet the acceptable reasons for an extension. All extension requests must be accompanied by documentation that supports the reason for the request. The student submitting the request is fully responsible for all supporting documentation that is provided with the request and should ensure all documents are authentic. 

Students registered with Student Support and Wellbeing Services / SAP 

In the School of Social Science, extensions granted on the basis of registration with Student Support and Wellbeing Services (SSWS) or a Student Access Plan (SAP) will be the lesser of 7 calendar days or the maximum extension allowable for the assessment task. 

More information is provided in Part D of the Assessment Procedure. 

Discretionary Extensions 

You are eligible for a discretionary extension for a single assessment task per semester of study for a duration of 48 hours, with no documentation required. You can apply if the assessment task allows (see the course profile for details) and if it is your first extension request for that assessment.  

You cannot receive an extension using both discretionary grounds and SAP grounds for the same assessment and must select one basis when making their initial request. 

Maximum Extension Requests 

You can request a maximum of 3 extensions for the same assessment task. If a third extension is necessary, you must submit an Assessment Management Plan in addition to your supporting documentation with your request. If after the third approved extension you submit the assessment late, late penalties will apply. 

Late Extension Applications 

Late applications must include evidence of the reasons for the late request, detailing why you were unable to apply for an extension by the due date and time. The School of Social Science will not accept personal statements. 

Additional information 

Extension requests are processed and managed by the School of Social Science Administration Team. Course Coordinators are unable to grant extensions directly.  

Extensions in your final semester of study could delay your graduation to the next graduation period. 

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Assessments will not be accepted if it is more than one week (7 calendar days) late without prior approval. 

Assignment 3 Exam

  • Hurdle
  • Identity Verified
  • In-person
Mode
Written
Category
Examination
Weight
40% approximately 1,000 words
Due date

End of Semester Exam Period

6/06/2026 - 20/06/2026

Other conditions
Time limited, Secure.

See the conditions definitions

Learning outcomes
L01, L02, L03

Task description

The aim of this final assessment is to enable you to demonstrate the research skills that you have acquired across all elements of the research process including research methodologies, research questions, conceptualisation and operationalisation, sampling, recruitment, ethics, and methods.

The exam will have three parts to it, as follows:

Part 1. Test your understanding – 10 short exercises for you to complete.

Part 2. Apply your skills – 8 short-answer questions based on a research scenario, one of which will be Indigenous-based research.

Part 3. Appraise and improve – you will be given a choice of two research proposals. You are to choose one proposal and identify the methodological and ethical strengths and weaknesses of the proposal and propose improvements.  

NOTES:

A sample copy of the exam is available for you to review on the library website. You will also have the opportunity to practice the exam, using the online Inspera platform, during semester.

You may take one A4 double sided sheet of paper with (handwritten or typed) notes into the exam.

Students may take a paper copy translation dictionary into the exam.

The exam time is 3 hours to ensure all students have sufficient time to complete each task.

This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.

Hurdle requirements

Students must achieve a mark of 40/100 or more on the examination to pass the course

Exam details

Planning time 10 minutes
Duration 180 minutes
Calculator options

No calculators permitted

Open/closed book Closed book examination - specified written materials permitted
Materials

One A4 sheet of handwritten or typed notes, double sided, is permitted

A printed translation dictionary.

Exam platform Inspera
Invigilation

Invigilated in person

Submission guidelines

Deferral or extension

You may be able to defer this exam.

You can request a deferred exam if you can provide evidence of unavoidable circumstances that prevented you from sitting your original exam at its scheduled date and time. All deferred exam requests must be accompanied by documentation that supports the reason for the request. The request will be assessed based solely on the evidence you provide when you apply. The student submitting the request is fully responsible for all supporting documentation that is provided with the request and should ensure all documents are authentic. 

An application on the basis of a Student Access Plan (SAP) alone will not be accepted. If you are applying on medical grounds, a registered medical practitioner must assess your condition and provide a signed medical certificate that covers the day of the examination. You must obtain a medical certificate no later than two business days after the date of the original examination. Further details of acceptable evidence for deferred examination can be found here. 

Additional information on eligibility and application instructions, can be found on my.UQ’s Deferred Exam Information page. 

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Cut off Percent Description
1 (Low Fail) 1 - 29

Absence of evidence of achievement of course learning outcomes.

2 (Fail) 30 - 44

Minimal evidence of achievement of course learning outcomes.

3 (Marginal Fail) 45 - 49

Demonstrated evidence of developing achievement of course learning outcomes

4 (Pass) 50 - 64

Demonstrated evidence of functional achievement of course learning outcomes.

5 (Credit) 65 - 74

Demonstrated evidence of proficient achievement of course learning outcomes.

6 (Distinction) 75 - 84

Demonstrated evidence of advanced achievement of course learning outcomes.

7 (High Distinction) 85 - 100

Demonstrated evidence of exceptional achievement of course learning outcomes.

Additional course grading information

Grades are calculated based on the marks received which are awarded according to how well each piece of assessment has met the required criteria. Please read the grade descriptions carefully to understand what is required for the award of a particular grade. For example, demonstrating proficiency in achieving the course learning outcomes is sufficient for a grade 5 whereas a grade 7 requires exceptional achievement of the learning outcomes.

A final grade is determined ᅠby adding together the sum of all individual assessment tasks.

Supplementary assessment

Supplementary assessment is available for this course.

Supplementary assessment is an additional opportunity to demonstrate that the learning requirements and graduate attributes for an eligible course have been attained. Supplementary assessment may only be granted where Supplementary Assessment – procedures allow, and only for students who receive a final grade of 3 or N. A passing grade of 4 (or P) is the highest grade that can be awarded in a course where supplementary assessment has been granted. For further information on supplementary assessment please see my.UQ

Additional assessment information

Academic Integrity: You must complete the Academic Integrity Modules by the due date. 

School Guide for Written Assessments: School of Social Science Guide for Written Assessments 

Release of Marks: The marks and feedback for assessments will be released to you in a timely manner, prior to the due date of the next assessment piece for the course. This is with the exception of the final piece of assessment. The marks and feedback for the final assessment item will only be made available on the Finalisation of Grades date at the end of semester.  

Assessment Re-mark: For information on requesting an assessment re-mark, please view the following page on my.UQ: https://my.uq.edu.au/querying-result  

Student Grievance Resolution and Appeals: If you are dissatisfied with the outcome, you may appeal through the Formal Administrative Grievances/Appeals process as per the Student Grievance Resolution Procedure. Before submitting an appeal, it is recommended that you review the Student Grievance Resolution Guideline. If you require help with drafting an appeal, Student Advocacy and Support can provide assistance. Time limits apply to submit an appeal; please refer to Student Grievance Resolution Procedure for the relevant timeframes.  

Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Library resources are available on the UQ Library website.

Additional learning resources information

This course does not prescribe weekly set readings. Most of the information you require is available in the online modules, although there is a textbook that you can refer to if you want to read up on a topic in more detail.

• Neuman, W. L. (2014) Social Research Methods: Quantitative and Qualitative Approaches (7th Ed.), Harlow: Pearson Education.

It is not necessary for you to purchase this book since it is available online through the UQ library. You can also access hard copies for short-term loan in the library.

You are also required to undertake a small amount of supplementary reading for some topics that are not covered by the textbook. You can find details of these readings on the SOCY2019 Extend Platform – see the ‘Overview’ page each week.

Student consultation

The SOCY2019 teaching staff are on hand to assist you with your learning, in tutorials but also through one-on-one consultation if you have any questions about the course. You can access support in the following ways:

  1. In class consultation - the tutorials run for two hours and include opportunities for consultation with your tutor if you would like to speak with your tutor face-to-face.
  2. Drop-in consultation sessions for assessment - The teaching staff will be on hand to provide consultation in the lead up to assessment through the provision of drop-in sessions where you can receive one-on-one support with your assessment. These sessions are as follows:
  • Assignment 1. Problem statement - Friday 27th March, 14.00-15.00. Room - TBA (directly after the lecture)
  • Assignment 2. Article review - Friday 24th April, 14.00-15.00. Room - TBA (directly after the lecture)
  • Assignment 3. Exam - Friday 29th May, 14.00-15.00. Room - TBA (directly after the last lecture)
  1. By email - you can contact the teaching staff by email at any time using the SOCY2019 course email address - SOCY2019student@uq.edu.au. This email address will be monitored every day except weekends and you will typically receive a reply within 24 hours. If you email on a Friday, you will receive a reply on the Monday. Please do not contact your tutor directly by email. If you do, they will ask that you redirect your inquiry to the course email address.
  2. Blackboard Ultra messages - If you want to communicate directly with a course coordinator about a personal or confidential matter, you may contact Sandra or Lynda through the Blackboard Ultra site using the messages function.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Week 1

(23 Feb - 01 Mar)

Lecture

Introduction: the principles of social research

Week 2

(02 Mar - 08 Mar)

Lecture

Social World

Learning outcomes: L01, L05

Week 3

(09 Mar - 15 Mar)

Lecture

Indigenous methodologies

Learning outcomes: L02, L04

Tutorial

Introduction and the Social World

This tutorial explores the concepts of positionality and methodology, examining how researchers' positions shape their research approaches.

Learning outcomes: L01, L05

Week 4

(16 Mar - 22 Mar)

Lecture

Research Questions

Learning outcomes: L01, L04, L05

Week 5

(23 Mar - 29 Mar)

Lecture

Conceptualisation and Operationalisation

Learning outcomes: L01, L04

Tutorial

Research Design

Students will explore how to formulate research questions and engage with co-design methodologies.

Learning outcomes: L01, L02, L04

Week 6

(30 Mar - 05 Apr)

Not Timetabled

Sampling

Due to the public holiday (Good Friday), there is no lecture this week. Students are expected to engage with learning materials on the Extend platform. This topic will be addressed briefly in a subsequent lecture

Learning outcomes: L01, L04

Week 7

(13 Apr - 19 Apr)

Lecture

Ethics

Learning outcomes: L02, L03, L04

Tutorial

Conceptualisation and Operationalisation

This tutorial will explore conceptualisation and operationalisation of research and sampling techniques.

Learning outcomes: L01, L04

Week 8

(20 Apr - 26 Apr)

Lecture

Surveys

Learning outcomes: L01, L02, L04

Week 9

(27 Apr - 03 May)

Lecture

Interviews

Learning outcomes: L01, L02, L03, L04

Tutorial

Quantitative Methodologies and Ethics

This tutorial will explore quantitative research methods and the ethical principles that guide quantitative research practice.

Learning outcomes: L01, L02, L03, L04

Week 10

(04 May - 10 May)

Lecture

Field Research and Observation

Learning outcomes: L01, L04

Week 11

(11 May - 17 May)

Lecture

Administrative and Naturally Occurring Data

Learning outcomes: L01

Tutorial

Qualitative Methodologies and Ethics

This tutorial introduces students to qualitative methodologies and ethical considerations in qualitative research.

Learning outcomes: L01, L02, L03, L04

Week 12

(18 May - 24 May)

Lecture

Revision

This revision lecture reviews the major topics covered in the course, including research design, Indigenous methodologies, ethical considerations, and key data collection methods such as surveys, interviews, observation, and analysis of administrative and naturally occurring data. Time will be made available for questions and clarification.

Week 13

(25 May - 31 May)

Lecture

Exam Preparation

This lecture focuses on exam preparation. Students will review the example exam available on the Inspera platform, receive tips and strategies for exam success, and work through additional practice exam questions in groups.

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.