General Information
This subject builds upon the concepts of central tendency and variance covered in the introductory statistics subject. This subject explores how these concepts can be used to help us make statistical decisions using; i) One-way ANOVA, ii) Post-hoc tests iii) Factorial ANOVA and iv) correlational techniques. The principal goals of the subject this semester are to understand the nature of statistical inference (lectures), and to achieve competence in calculating statistics both by hand and using SPSS (labs). Exercises are placed in the context of research problems in Psychology. This subject provides students with intermediate level skills and knowledge in the research methods and data analytic techniques employed by psychologists.
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Details
Academic unit: Faculty of Society & Design Subject code: PSYC12-200 Subject title: Statistics and Data Analysis 2 Subject level: Undergraduate Semester/Year: May 2024 Credit points: 10.000 -
Delivery & attendance
Timetable: https://bond.edu.au/timetable Delivery mode: Standard Workload items: - Forum: x12 (Total hours: 24) - Weekly Forum
- Computer Lab: x12 (Total hours: 24) - Weekly Computer Lab
- Personal Study Hours: x12 (Total hours: 72) - Recommended Study Hours
Attendance and learning activities: Attendance is compulsory for lectures and tutorials. Lectures provide students the opportunity to learn the conceptual underpinnings of the general linear model, specifically in relation to the tests of between groups differences. Tutorials provide students the opportunity to learn how to use tests of between groups differences to analyse and interpret data. Tutorials also introduce students to the data analytic software program SPSS. -
Resources
Prescribed resources: Books
- Field, A (2019). Discovering Statistics using IBM SPSS. 5th Edition, SAGE
Others
- American Psychological Association (2020). Publication Manual of the American Psychological Association, Sixth Edition. USA American Psychological Association
- Peter Allen, Kellie Bennett, & Brody Heritage (2014). SPSS Statistics Version 22: A Practical Guide (3rd Edition). GB Cengage Learning EMEA
iLearn@Bond & Email: iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class recordings and detailed subject information regarding the subject curriculum, assessment, and timing. Both iLearn and the Student Email facility are used to provide important subject notifications.
Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student.
To access these services, log on to the Student Portal from the Bond University website as www.bond.edu.au
| Academic unit: | Faculty of Society & Design |
|---|---|
| Subject code: | PSYC12-200 |
| Subject title: | Statistics and Data Analysis 2 |
| Subject level: | Undergraduate |
| Semester/Year: | May 2024 |
| Credit points: | 10.000 |
| Timetable: | https://bond.edu.au/timetable |
|---|---|
| Delivery mode: | Standard |
| Workload items: |
|
| Attendance and learning activities: | Attendance is compulsory for lectures and tutorials. Lectures provide students the opportunity to learn the conceptual underpinnings of the general linear model, specifically in relation to the tests of between groups differences. Tutorials provide students the opportunity to learn how to use tests of between groups differences to analyse and interpret data. Tutorials also introduce students to the data analytic software program SPSS. |
| Prescribed resources: | Books
Others
|
|---|---|
| iLearn@Bond & Email: | iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class recordings and detailed subject information regarding the subject curriculum, assessment, and timing. Both iLearn and the Student Email facility are used to provide important subject notifications. Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student. To access these services, log on to the Student Portal from the Bond University website as www.bond.edu.au |
Enrolment requirements
| Requisites: |
Pre-requisites:Co-requisites:There are no co-requisites |
|---|---|
| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge. All Psychology programs are accredited in the sequence presented and designed to provide students with learning and graduate outcomes in line with APAC accrediation standards. In order to meet these outcomes, students in the Undergraduate program should complete PSYC11, then PSYC12, and finally PSYC13 subjects in the order sequenced. |
| Restrictions: |
Nil |
Assurance of learning
Assurance of Learning means that universities take responsibility for creating, monitoring and updating curriculum, teaching and assessment so that students graduate with the knowledge, skills and attributes they need for employability and/or further study.
At Bond University, we carefully develop subject and program outcomes to ensure that student learning in each subject contributes to the whole student experience. Students are encouraged to carefully read and consider subject and program outcomes as combined elements.
Program Learning Outcomes (PLOs)
Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge and skills that will be achieved on completion of the program. If you are undertaking this subject as part of a degree program, you should refer to the relevant degree program outcomes and graduate attributes as they relate to this subject.
Subject Learning Outcomes (SLOs)
On successful completion of this subject the learner will be able to:
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
Generative Artificial Intelligence in Assessment
The University acknowledges that Generative Artificial Intelligence (Gen-AI) tools are an important facet of contemporary life. Their use in assessment is considered in line with students’ development of the skills and knowledge which demonstrate learning outcomes and underpin study and career success. Instructions on the use of Gen-AI are given for each assessment task; it is your responsibility to adhere to these instructions.
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Assessment details
Type Task % Timing* Outcomes assessed Computer-Aided Examination (Closed) Final exam. The exam will include a mixture of multiple choice questions and short answers. The exam will include the content covered during the entire trimester. The assessment will be released to students on week 12. 55.00% Final Examination Period 1,2,3 Take-home Examination The exam will include a mixture of multiple choice questions and short answers. The exam will include the content covered during the first six weeks of class. The assessment will be released to students on week 6. 40.00% Week 7 (Mid-Semester Examination Period) 1,2,3 Activity Participate in research for 5 percent credit. 5.00% Ongoing 1,3 - * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
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Assessment criteria
Assessment criteria
High Distinction 85-100 Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. Distinction 75-84 Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. Credit 65-74 Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. Pass 50-64 Usually awarded to students whose performance meets the requirements set for work provided for assessment. Fail 0-49 Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
| Type | Task | % | Timing* | Outcomes assessed |
|---|---|---|---|---|
| Computer-Aided Examination (Closed) | Final exam. The exam will include a mixture of multiple choice questions and short answers. The exam will include the content covered during the entire trimester. The assessment will be released to students on week 12. | 55.00% | Final Examination Period | 1,2,3 |
| Take-home Examination | The exam will include a mixture of multiple choice questions and short answers. The exam will include the content covered during the first six weeks of class. The assessment will be released to students on week 6. | 40.00% | Week 7 (Mid-Semester Examination Period) | 1,2,3 |
| Activity | Participate in research for 5 percent credit. | 5.00% | Ongoing | 1,3 |
- * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
Assessment criteria
| High Distinction | 85-100 | Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. |
|---|---|---|
| Distinction | 75-84 | Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. |
| Credit | 65-74 | Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. |
| Pass | 50-64 | Usually awarded to students whose performance meets the requirements set for work provided for assessment. |
| Fail | 0-49 | Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. |
Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
Study Information
Submission procedures
Students must check the iLearn@Bond subject site for detailed assessment information and submission procedures.
Policy on late submission and extensions
A student who has not established a basis for an extension in compliance with University and Faculty policy either by 1) not applying before the assessment due date or 2) by having an application rejected due to failure to show a justifiable cause for an extension, will receive a penalty on assessment submitted after its due date. The penalty will be 10% of marks awarded to that assessment for every day late, with the first day counted after the required submission time has passed. No assessment will be accepted for consideration seven calendar days after the due date. Where a student has been granted an extension, the late penalty starts from the new due date and time set out in the extension.
Academic Integrity
Bond University‘s Student Code of Conduct Policy , Student Charter, Academic Integrity Policy and our Graduate Attributes guide expectations regarding student behaviour, their rights and responsibilities. Information on these topics can be found on our Academic Integrity webpage recognising that academic integrity involves demonstrating the principles of integrity (honesty, fairness, trust, professionalism, courage, responsibility, and respect) in words and actions across all aspects of academic endeavour.
Staff are required to report suspected misconduct. This includes all types of plagiarism, cheating, collusion, fabrication or falsification of data/content or other misconduct relating to assessment such as the falsification of medical certificates for assessment extensions. The longer term personal, social and financial consequences of misconduct can be severe, so please ask for help if you are unsure.
If your work is subject to an inquiry, you will be given an opportunity to respond and appropriate support will be provided. Academic work under inquiry will not be marked until the process has concluded. Penalties for misconduct include a warning, reduced grade, a requirement to repeat the assessment, suspension or expulsion from the University.
Feedback on assessment
Feedback on assessment will be provided to students according to the requirements of the Assessment Procedure Schedule A - Assessment Communication Procedure.
Whilst in most cases feedback should be provided within two weeks of the assessment submission due date, the Procedure should be checked if the assessment is linked to others or if the subject is a non-standard (e.g., intensive) subject.
Accessibility and Inclusion Support
Support is available to students where a physical, mental or neurological condition exists that would impact the student’s capacity to complete studies, exams or assessment tasks. For effective support, special requirement needs should be arranged with the University in advance of or at the start of each semester, or, for acute conditions, as soon as practicable after the condition arises. Reasonable adjustments are not guaranteed where applications are submitted late in the semester (for example, when lodged just prior to critical assessment and examination dates).
As outlined in the Accessibility and Inclusion Policy, to qualify for support, students must meet certain criteria. Students are also required to meet with the Accessibility and Inclusion Advisor who will ensure that reasonable adjustments are afforded to qualifying students.
For more information and to apply online, visit BondAbility.
Additional subject information
Subject curriculum
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Revision: single sample t-tests, between subjects t-tests, repeated measure t-tests
This lecture is revision of the statistical tests covered in PSYC11-105.
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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One-way ANOVA: Independent Groups
This lecture introduces a more advanced level of statistical analysis that assesses between group differences.
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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One-way ANOVA Part I: Repeated Measures
This lecture is an extension of the material covered in Week 3, covering the one-way ANOVA with repeated measures.
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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One-way ANOVA Part II: Multiple comparisons and linear contrasts
This lecture introduces students to the follow-up analyses that are typically conducted whenassessing for between-groups differences with one-way ANOVA. This lecture focuses on the a priori comparisions.
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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One-way ANOVA Part III: Post hoc comparisions
This lecture also focuses on the follow-up analyses that are typically conducted when assessing for between-groups differences with one-way ANOVA. The lecturer focuses on post hoc comparisions.
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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Factorial ANOVA I: Main Effects
This lecture introduces students to higher order analysis of variance: factorial between groups ANOVA. The focus of this lecture is on the overall effects of independent variables (main effects).
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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Factorial ANOVA II: Interactions
This lecture extends upon the previous week's content (I.e., higher order analyses of variance: factorial between groups ANOVA). The focus of this lecture is on the interactive effects of independent variables (interactions).
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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Factorial ANOVA: Mixed Designs
This lecture introduces students to mixed factorial designs e.g., designs that include more than two IVs.
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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Factorial ANOVA: Mixed Designs
This lecture introduces students to mixed factorial designs e.g., split plot designs (I.e., designs that include both between groups and within groups variables).
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.
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Non-parametric testing
This lecture covers tests that are the non-parametric equivalent to those covered in previous PSYC12-200 lectures.
SLOs included
- Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
- Apply knowledge and skills of Psychology in a manner that is reflexive, to research methods and statistics.
- Demonstrate self-directed pursuit of scholarly inquiry in Psychology.