BSN414 Quantitative Research Methods
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | BSN414 |
|---|---|
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,812 |
| Pre-2021 CSP student contribution | $1,419 The pre-2021 commonwealth supported place (CSP) contribution amount only applies to students enrolled in a course prior to 2021. To learn more, visit our Understanding your fees page. |
| Domestic tuition unit fee | $3,564 |
| International unit fee | $4,116 |
Unit Outline: Semester 1 2021, Gardens Point, Internal
| Unit code: | BSN414 |
|---|---|
| Credit points: | 12 |
| Coordinator: | Peter O'Connor | peter.oconnor@qut.edu.au |
Overview
This unit is designed to give students an introduction to a range of quantitative research methods and their application to different research questions and types of quantitative data.
Learning Outcomes
On successful completion of this unit you will be able to:
- Apply frequently used quantitative research methods to analyse business-related research problems.
- Demonstrate a practical understanding of sampling, measurement and analysis techniques and issues associated with quantitative research strategies.
- Understand and explain the purposes, advantages and limitations of different quantitative analysis methods.
- Conduct, interpret, and report on a variety of quantitative analyses addressing research questions.
- Demonstrate academic literacy skills in writing up, reading and evaluating business research.
Content
The unit will cover quantitative research concepts and analyses including:
- Data Collection: Survey Research
- Index construction and reliability analysis; Exploratory and Confirmatory Factor analysis
- Regression Analysis (bivariate correlation, simple regression, multiple regression, regression diagnostics)
- Mediated and moderated regression
- Logistic regression
- Structural Equation Modeling
- Experimental Data Collection and Analysis
QUT Business Capabilities (Research)
The content and assessment in this unit are aligned to a selection of the following set of QUT Business Capabilities, also known as Assurance of Learning Goals (AoLs). Developing these capabilities will assist you to meet the desired graduate outcomes set at QUT and equip you with the knowledge and skills to succeed in your chosen career.
Knowledge & Technical Skills (KS)
1.1 Demonstrate and apply integrated and advanced discipline and professional practice knowledge, including advanced knowledge of research, research principles and methods and how knowledge is created and evolves within the field.
1.2 Use technological and technical skills to apply theoretical knowledge, work critically with complex information, problems and theories, and to design and apply research and research methods.
Higher Order Thinking Skills (HO)
2.1 Identify, investigate and evaluate intellectual issues and problems in research and practice and synthesise complex thinking to identify research gaps and conceptualise an approach to a research study.
2.2 Exercise creativity and intellectual independence to systematically plan, design and execute research and formulate conclusions and recommendations that challenge and contribute to current knowledge in a discipline.
Professional Communication (PC)
3.1 Demonstrate written communication skills to structure and present complex thinking, including research results to a variety of audiences in relation to discipline knowledge and research.
3.2 Demonstrate oral communication skills to structure and present complex thinking, including research results to a variety of audiences in relation to discipline knowledge and research.
Teamwork & Self (TS)
4.1 Exercise self-reflection and accountability in applying knowledge and skills for own learning and recognition of research limitations for effective research practice.
Social, Ethical & Global Understanding (SE)
5.1 Apply knowledge of the ethical dimensions of research to identify and address the potential risks of undertaking a research project.
Learning Approaches
The delivery of this unit is based around a 3 hour lecture and computer tutorial combined. Some weeks will be delivered via online methods as outlined below. The purpose of each seminar is to introduce students to the concepts and analyses appropriate to address a variety of quantitative research questions. Seminars are additionally utilised to develop students' abilities to apply the analyses to a variety of research questions and data sets, and to interpret the results of statistical output using SPSS.
The unit is supported by the QUT Blackboard system and other complementary online teaching systems. In addition to basic information such as the unit outline, lecture outlines, assessment information and staff contact details the Blackboard site contains learning materials and datasets to enable students to practice developed quantitative research skills. Live online teaching platforms are used to teach some analyses relevant to assessment in recorded sessions to enable student playback as required.
COVID-19 restrictions may require changes to the planned Learning Approaches described here. Students should refer to the unit Blackboard site for the latest information.
Feedback on Learning and Assessment
Students will receive feedback in various forms throughout the semester which may include:
- Informal: worked examples, such as verbal feedback in class, personal consultation
- Formal: in writing, such as checklists (e.g. criteria sheets), written commentary
- Direct: to individual students, either in written form or in consultation
- Indirect: to the whole class
Assessment
Overview
The assessment in this unit aims to support your achievement of the learning objectives for both Discipline Knowledge and Other Graduate Capabilities. Assessment has been designed in order to allow you to both:
- receive feedback on your learning as you progress towards the development of knowledge, understanding, skills and attitudes (formative assessment); and
- demonstrate your learning in order to achieve a final grade (summative assessment).
Student grades are determined by the Business Academic Board. The Unit Coordinators provide the detailed assessment results to the Board, working through the relevant School. These results are advisory in nature and do not necessarily constitute the final grades awarded by the Board. In its decisions the Board compares results both within units and programs, using as a guide a set of standard distribution criteria. These criteria enable the Board to systematically compare student performance, but are not applied in a prescriptive fashion.
Formative Assessment
In each seminar, students will have exercises to complete relating to the topic or analysis being studied in that week. Students will receive feedback on their performance on these tasks in the seminars and are able to provide their exercise to lecturers for written feedback the following week. Formative assessment incorporates the following Assurance of Learning goals: KS (1.1; 1.2), PC (3.2).
Summative Assessment
Refer to "Assessment" section below.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Report
Students will conduct an exploratory factor analysis and a confirmatory factor analysis based on data provided to students. Student are required to interpret and write up the results of the analyses.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.2), PC (3.1)
Assessment: Research Paper
Students will be provided with information and data related to a specific research question. Using this information and data, students are to perform a series of preliminary data analyses and mediated and moderated regressions to test the hypotheses. Students are required to individually write up a Method, Results, and Discussion section.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.1; 2.2), PC (3.1)
Assessment: Assignment
Students will conduct a series of logistic regressions and write up the results of these analyses using data provided by the lecturer.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.1; 2.2), PC (3.1)
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Prescribed text(s)
Hair, J., W. Black, B. Babin, and R. Anderson (2018). Multivariate Data Analysis: Pearson New International edition, GB: Pearson Education Limited.
A set of readings is also available though the BSN414 Blackboard site.
Recommended text(s)
Recommended reading
Lecture notes, workshop notes, data, example analyses and additional readings are provided on the unit Blackboard site.
Additional Resources
Allen, P., Bennett, K., & Heritage, B. (2018).SPSS Statistics: A Practical Guide 4th Edition. Cengage Learning Australia: South Melbourne, VIC.
Risk Assessment Statement
There are no out-of-the-ordinary risks associated with lectures or tutorials in this unit. You should, however, familiarise yourself with evacuation procedures operating in the buildings in which you attend classes and take the time to
view the Emergency video.
Unit Outline: Semester 2 2021, Gardens Point, Internal
| Unit code: | BSN414 |
|---|---|
| Credit points: | 12 |
| Coordinator: | Peter O'Connor | peter.oconnor@qut.edu.au |
Overview
This unit is designed to give students an introduction to a range of quantitative research methods and their application to different research questions and types of quantitative data.
Learning Outcomes
On successful completion of this unit you will be able to:
- Apply frequently used quantitative research methods to analyse business-related research problems.
- Demonstrate a practical understanding of sampling, measurement and analysis techniques and issues associated with quantitative research strategies.
- Understand and explain the purposes, advantages and limitations of different quantitative analysis methods.
- Conduct, interpret, and report on a variety of quantitative analyses addressing research questions.
- Demonstrate academic literacy skills in writing up, reading and evaluating business research.
Content
The unit will cover quantitative research concepts and analyses including:
- Data Collection: Survey Research
- Index construction and reliability analysis; Exploratory and Confirmatory Factor analysis
- Regression Analysis (bivariate correlation, simple regression, multiple regression, regression diagnostics)
- Mediated and moderated regression
- Logistic regression
- Structural Equation Modeling
- Experimental Data Collection and Analysis
QUT Business Capabilities (Research)
The content and assessment in this unit are aligned to a selection of the following set of QUT Business Capabilities, also known as Assurance of Learning Goals (AoLs). Developing these capabilities will assist you to meet the desired graduate outcomes set at QUT and equip you with the knowledge and skills to succeed in your chosen career.
Knowledge & Technical Skills (KS)
1.1 Demonstrate and apply integrated and advanced discipline and professional practice knowledge, including advanced knowledge of research, research principles and methods and how knowledge is created and evolves within the field.
1.2 Use technological and technical skills to apply theoretical knowledge, work critically with complex information, problems and theories, and to design and apply research and research methods.
Higher Order Thinking Skills (HO)
2.1 Identify, investigate and evaluate intellectual issues and problems in research and practice and synthesise complex thinking to identify research gaps and conceptualise an approach to a research study.
2.2 Exercise creativity and intellectual independence to systematically plan, design and execute research and formulate conclusions and recommendations that challenge and contribute to current knowledge in a discipline.
Professional Communication (PC)
3.1 Demonstrate written communication skills to structure and present complex thinking, including research results to a variety of audiences in relation to discipline knowledge and research.
3.2 Demonstrate oral communication skills to structure and present complex thinking, including research results to a variety of audiences in relation to discipline knowledge and research.
Teamwork & Self (TS)
4.1 Exercise self-reflection and accountability in applying knowledge and skills for own learning and recognition of research limitations for effective research practice.
Social, Ethical & Global Understanding (SE)
5.1 Apply knowledge of the ethical dimensions of research to identify and address the potential risks of undertaking a research project.
Learning Approaches
The delivery of this unit is based around a 3 hour lecture and computer tutorial combined. Some weeks will be delivered via online methods as outlined below. The purpose of each seminar is to introduce students to the concepts and analyses appropriate to address a variety of quantitative research questions. Seminars are additionally utilised to develop students' abilities to apply the analyses to a variety of research questions and data sets, and to interpret the results of statistical output using SPSS.
The unit is supported by the QUT Blackboard system and other complementary online teaching systems. In addition to basic information such as the unit outline, lecture outlines, assessment information and staff contact details the Blackboard site contains learning materials and datasets to enable students to practice developed quantitative research skills. Live online teaching platforms are used to teach some analyses relevant to assessment in recorded sessions to enable student playback as required.
COVID-19 restrictions may require changes to the planned Learning Approaches described here. Students should refer to the unit Blackboard site for the latest information.
Feedback on Learning and Assessment
Students will receive feedback in various forms throughout the semester which may include:
- Informal: worked examples, such as verbal feedback in class, personal consultation
- Formal: in writing, such as checklists (e.g. criteria sheets), written commentary
- Direct: to individual students, either in written form or in consultation
- Indirect: to the whole class
Assessment
Overview
The assessment in this unit aims to support your achievement of the learning objectives for both Discipline Knowledge and Other Graduate Capabilities. Assessment has been designed in order to allow you to both:
- receive feedback on your learning as you progress towards the development of knowledge, understanding, skills and attitudes (formative assessment); and
- demonstrate your learning in order to achieve a final grade (summative assessment).
Student grades are determined by the Business Academic Board. The Unit Coordinators provide the detailed assessment results to the Board, working through the relevant School. These results are advisory in nature and do not necessarily constitute the final grades awarded by the Board. In its decisions the Board compares results both within units and programs, using as a guide a set of standard distribution criteria. These criteria enable the Board to systematically compare student performance, but are not applied in a prescriptive fashion.
Formative Assessment
In each seminar, students will have exercises to complete relating to the topic or analysis being studied in that week. Students will receive feedback on their performance on these tasks in the seminars and are able to provide their exercise to lecturers for written feedback the following week. Formative assessment incorporates the following Assurance of Learning goals: KS (1.1; 1.2), PC (3.2).
Summative Assessment
Refer to "Assessment" section below.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Report
Students will conduct an exploratory factor analysis and a confirmatory factor analysis based on data provided to students. Student are required to interpret and write up the results of the analyses.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.2), PC (3.1)
Assessment: Research Paper
Students will be provided with information and data related to a specific research question. Using this information and data, students are to perform a series of preliminary data analyses and mediated and moderated regressions to test the hypotheses. Students are required to individually write up a Method, Results, and Discussion section.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.1; 2.2), PC (3.1)
Assessment: Assignment
Students will conduct a series of logistic regressions and write up the results of these analyses using data provided by the lecturer.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.1; 2.2), PC (3.1)
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Prescribed text(s)
Hair, J., W. Black, B. Babin, and R. Anderson (2018). Multivariate Data Analysis: Pearson New International edition, GB: Pearson Education Limited.
A set of readings is also available though the BSN414 Blackboard site.
Recommended text(s)
Recommended reading
Lecture notes, workshop notes, data, example analyses and additional readings are provided on the unit Blackboard site.
Additional Resources
Allen, P., Bennett, K., & Heritage, B. (2018).SPSS Statistics: A Practical Guide 4th Edition. Cengage Learning Australia: South Melbourne, VIC.
Risk Assessment Statement
There are no out-of-the-ordinary risks associated with lectures or tutorials in this unit. You should, however, familiarise yourself with evacuation procedures operating in the buildings in which you attend classes and take the time to
view the Emergency video.
Unit Outline: Semester 2 2021, Online
| Unit code: | BSN414 |
|---|---|
| Credit points: | 12 |
Overview
This unit is designed to give students an introduction to a range of quantitative research methods and their application to different research questions and types of quantitative data.
Learning Outcomes
On successful completion of this unit you will be able to:
- Apply frequently used quantitative research methods to analyse business-related research problems.
- Demonstrate a practical understanding of sampling, measurement and analysis techniques and issues associated with quantitative research strategies.
- Understand and explain the purposes, advantages and limitations of different quantitative analysis methods.
- Conduct, interpret, and report on a variety of quantitative analyses addressing research questions.
- Demonstrate academic literacy skills in writing up, reading and evaluating business research.
Content
The unit will cover quantitative research concepts and analyses including:
- Data Collection: Survey Research
- Index construction and reliability analysis; Exploratory and Confirmatory Factor analysis
- Regression Analysis (bivariate correlation, simple regression, multiple regression, regression diagnostics)
- Mediated and moderated regression
- Logistic regression
- Structural Equation Modeling
- Experimental Data Collection and Analysis
QUT Business Capabilities (Research)
The content and assessment in this unit are aligned to a selection of the following set of QUT Business Capabilities, also known as Assurance of Learning Goals (AoLs). Developing these capabilities will assist you to meet the desired graduate outcomes set at QUT and equip you with the knowledge and skills to succeed in your chosen career.
Knowledge & Technical Skills (KS)
1.1 Demonstrate and apply integrated and advanced discipline and professional practice knowledge, including advanced knowledge of research, research principles and methods and how knowledge is created and evolves within the field.
1.2 Use technological and technical skills to apply theoretical knowledge, work critically with complex information, problems and theories, and to design and apply research and research methods.
Higher Order Thinking Skills (HO)
2.1 Identify, investigate and evaluate intellectual issues and problems in research and practice and synthesise complex thinking to identify research gaps and conceptualise an approach to a research study.
2.2 Exercise creativity and intellectual independence to systematically plan, design and execute research and formulate conclusions and recommendations that challenge and contribute to current knowledge in a discipline.
Professional Communication (PC)
3.1 Demonstrate written communication skills to structure and present complex thinking, including research results to a variety of audiences in relation to discipline knowledge and research.
3.2 Demonstrate oral communication skills to structure and present complex thinking, including research results to a variety of audiences in relation to discipline knowledge and research.
Teamwork & Self (TS)
4.1 Exercise self-reflection and accountability in applying knowledge and skills for own learning and recognition of research limitations for effective research practice.
Social, Ethical & Global Understanding (SE)
5.1 Apply knowledge of the ethical dimensions of research to identify and address the potential risks of undertaking a research project.
Learning Approaches
The delivery of this unit is based around a 3 hour lecture and computer tutorial combined. Some weeks will be delivered via online methods as outlined below. The purpose of each seminar is to introduce students to the concepts and analyses appropriate to address a variety of quantitative research questions. Seminars are additionally utilised to develop students' abilities to apply the analyses to a variety of research questions and data sets, and to interpret the results of statistical output using SPSS.
The unit is supported by the QUT Blackboard system and other complementary online teaching systems. In addition to basic information such as the unit outline, lecture outlines, assessment information and staff contact details the Blackboard site contains learning materials and datasets to enable students to practice developed quantitative research skills. Live online teaching platforms are used to teach some analyses relevant to assessment in recorded sessions to enable student playback as required.
COVID-19 restrictions may require changes to the planned Learning Approaches described here. Students should refer to the unit Blackboard site for the latest information.
Feedback on Learning and Assessment
Students will receive feedback in various forms throughout the semester which may include:
- Informal: worked examples, such as verbal feedback in class, personal consultation
- Formal: in writing, such as checklists (e.g. criteria sheets), written commentary
- Direct: to individual students, either in written form or in consultation
- Indirect: to the whole class
Assessment
Overview
The assessment in this unit aims to support your achievement of the learning objectives for both Discipline Knowledge and Other Graduate Capabilities. Assessment has been designed in order to allow you to both:
- receive feedback on your learning as you progress towards the development of knowledge, understanding, skills and attitudes (formative assessment); and
- demonstrate your learning in order to achieve a final grade (summative assessment).
Student grades are determined by the Business Academic Board. The Unit Coordinators provide the detailed assessment results to the Board, working through the relevant School. These results are advisory in nature and do not necessarily constitute the final grades awarded by the Board. In its decisions the Board compares results both within units and programs, using as a guide a set of standard distribution criteria. These criteria enable the Board to systematically compare student performance, but are not applied in a prescriptive fashion.
Formative Assessment
In each seminar, students will have exercises to complete relating to the topic or analysis being studied in that week. Students will receive feedback on their performance on these tasks in the seminars and are able to provide their exercise to lecturers for written feedback the following week. Formative assessment incorporates the following Assurance of Learning goals: KS (1.1; 1.2), PC (3.2).
Summative Assessment
Refer to "Assessment" section below.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Report
Students will conduct an exploratory factor analysis and a confirmatory factor analysis based on data provided to students. Student are required to interpret and write up the results of the analyses.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.2), PC (3.1)
Assessment: Research Paper
Students will be provided with information and data related to a specific research question. Using this information and data, students are to perform a series of preliminary data analyses and mediated and moderated regressions to test the hypotheses. Students are required to individually write up a Method, Results, and Discussion section.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.1; 2.2), PC (3.1)
Assessment: Assignment
Students will conduct a series of logistic regressions and write up the results of these analyses using data provided by the lecturer.
Formative or Summative: Summative
Business Capabilities (AoL goals): KS (1.2), HO (2.1; 2.2), PC (3.1)
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Prescribed text(s)
Hair, J., W. Black, B. Babin, and R. Anderson (2018). Multivariate Data Analysis: Pearson New International edition, GB: Pearson Education Limited.
A set of readings is also available though the BSN414 Blackboard site.
Recommended text(s)
Recommended reading
Lecture notes, workshop notes, data, example analyses and additional readings are provided on the unit Blackboard site.
Additional Resources
Allen, P., Bennett, K., & Heritage, B. (2018).SPSS Statistics: A Practical Guide 4th Edition. Cengage Learning Australia: South Melbourne, VIC.
Risk Assessment Statement
There are no out-of-the-ordinary risks associated with lectures or tutorials in this unit. You should, however, familiarise yourself with evacuation procedures operating in the buildings in which you attend classes and take the time to
view the Emergency video.