You are viewing this page as a domestic student.
Change to International

You are a domestic student if you are an Australian citizen, a New Zealand citizen or the holder of an Australian permanent visa.

You are an international student whether you are within or outside Australia and you do not meet the domestic student criteria.

COVID-19 (coronavirus): Latest advice for the Bond community.

PSYC12-200: Statistics and Data Analysis 2 May 2018 [Standard]

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 principle 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.

Details

Academic unit:Faculty of Society & Design
Subject code:PSYC12-200
Subject title:Statistics and Data Analysis 2
Subject level:Undergraduate
Semester/Year:May 2018
Credit points:10

Delivery & attendance

Timetable: https://bond.edu.au/timetable
Delivery mode:

Standard

Workload items:
  • Computer Lab: x12 (Total hours: 24) - Laboratory
  • Lecture: x12 (Total hours: 24) - Weekly Lecture

Resources

Prescribed resources:
  • Field, A (2009). Discovering Statistics using IBM SPSS. 3rd Edition, SAGE
  • American Psychological Association (2010). Publication Manual of the American Psychological Association, Sixth Edition. [Book, ebook] American Psychological Association.
  • Peter Allen, Kellie Bennett, & Brody Heritage (2014). SPSS Statistics Version 22: A Practical Guide (3rd Edition). [Book] Cengage Learning EMEA.
After enrolment, students can check the Books and Tools area in iLearn for the full Resource List.
[email protected] & Email:[email protected] is the online learning environment at Bond University and is used to provide access to subject materials, lecture 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: ?

Nil

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.

Find your program

Subject Learning Outcomes (SLOs)

On successful completion of this subject the learner will be able to:
  1. Understand, apply and evaluate the basic research methods in psychology, including research design, data analysis and interpretation and the appropriate use of technologies.
  2. Apply knowledge of the scientific method in thinking about problems related to behaviour and mental processes.
  3. Use information in an ethical manner.
  4. Write a standard research report using APA stricture and formatting conventions.
  5. Demonstrate a capacity for independent learning.

Assessment

Assessment details

TypeTask%Timing*Outcomes assessed
Laboratory Report Lab report 25% Week 11 1, 2, 3, 4, 5.
*Class Participation Research Participation 5% Week 12 1, 2, 3, 5.
Paper-based Examination (Open) Final Examination 35% Final Examination Period 1, 2, 3, 5.
Paper-based Examination (Open) Mid-semester Examination 35% Non-Standard Examination Period 1, 2, 3, 5.
  • * 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 [email protected] subject site for detailed assessment information and submission procedures.

Policy on late submission and extensions

A late penalty will be applied to all overdue assessment tasks unless an extension is granted by the subject coordinator. The standard penalty will be 10% of marks awarded to that assessment per day late with no assessment to be accepted seven days after the due date. Where a student is granted an extension, the penalty of 10% per day late starts from the new due date.

Policy on plagiarism

University’s Academic Integrity Policy defines plagiarism as the act of misrepresenting as one’s own original work: another’s ideas, interpretations, words, or creative works; and/or one’s own previous ideas, interpretations, words, or creative work without acknowledging that it was used previously (i.e., self-plagiarism). The University considers the act of plagiarising to be a breach of the Student Conduct Code and, therefore, subject to the Discipline Regulations which provide for a range of penalties including the reduction of marks or grades, fines and suspension from the University.

Bond University utilises Originality Reporting software to inform academic integrity.

Feedback on assessment

Feedback on assessment will be provided to students within two weeks of the assessment submission due date, as per the Assessment Policy.

Disability support

If you have a disability, illness, injury or health condition that impacts your capacity to complete studies, exams or assessment tasks, it is important you let us know your special requirements, early in the semester. Students will need to make an application for support and submit it with recent, comprehensive documentation at an appointment with a Disability Officer. Students with a disability are encouraged to contact the Disability Office at the earliest possible time, to meet staff and learn about the services available to meet your specific needs. Please note that late notification or failure to disclose your disability can be to your disadvantage as the University cannot guarantee support under such circumstances.

Subject curriculum

This lecture is revision of the statistical tests covered in PSYC11-105.

1, 2, 3, 5.

This lecture introduces a more advanced level of statistical analysis that assesses between group differences.

1, 2, 3, 5.

This lecture is an extension of the material covered in Week 3, covering the one-way ANOVA with repeated measures.

1, 2, 3, 5.

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

1, 2, 3, 5.

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.

1, 2, 3, 5.

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).

1, 2, 3, 5.

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).

1, 2, 3, 5.

This lecture introduces students to mixed factorial designs e.g., designs that include more than two IVs

1, 2, 3, 4, 5.

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).

1, 2, 3, 4, 5.

This lecture covers tests that are the non-parametric equivalent to those covered in previous PSYC12-200 lectures

1, 2, 3, 5.
Approved on: Mar 23, 2017. Edition: 5.1