Program Overview

Program Details

The program details are as follows:

Program Overview

PSYC226 - Research Design and Data Analysis 2 is a unit that continues students' training in research design and statistical analysis. This unit expands students' knowledge and understanding of basic principles of research design and statistical analysis, focusing on the simplest case of research involving one dependent variable and one independent variable.

Year and Credit Points

• Year: 2024
• Credit points: 10

Campus Offering

No unit offerings are currently available for this unit.

Prerequisites and Incompatible Units

• Prerequisites: PSYC104 Research Design and Statistics I OR PSYC110 Research Design and Data Analysis 1
• Incompatible: PSYC206 Research Design and Statistics II

Teaching Organisation

The unit has 3 contact hours per week for twelve weeks or equivalent.

Unit Rationale, Description, and Aim

This unit aims to develop foundational competencies in research methods and data analysis. It focuses on single factor designs and the associated statistical technique of one-way analysis of variance (ANOVA), as well as correlational designs using simple linear regression. The unit also includes an introduction to qualitative methods.

Learning Outcomes

To successfully complete this unit, students will be able to:

1. Distinguish between different research methods and research designs employed in psychological research.
2. Demonstrate an understanding of the key theoretical principles of different analyses.
3. Conduct, interpret, and report an ANOVA using a statistical software package.
4. Identify situations when the assumptions of parametric tests have been violated and recognize when specific non-parametric tests are required.
5. Conduct simple linear regression analyses using a statistical software package, interpret the results, and make predictions from these analyses.

Content

Topics include:

• Interpretation and reporting of results for statistical techniques
• Experimental, quasi-experimental, and non-experimental approaches to research
• Research design using an Indigenous Research Framework
• Non-parametric equivalents of independent groups and repeated measures t-tests and Pearson's correlation
• One-way ANOVA (between subjects and repeated measures designs)
• Assumptions of one-way ANOVA
• Non-parametric equivalents of one-way ANOVA
• Chi-square
• Simple linear regression
• Qualitative methods (design, data collection, and credibility)

Learning and Teaching Strategy

The unit involves lectures and tutorials, with three contact hours per week over twelve weeks. The lectures introduce students to the content, while the tutorials provide practical skills in conducting and interpreting analyses.

Assessment Strategy

To successfully complete this unit, students must:

• Complete and submit all assessment tasks
• Obtain an aggregate mark of at least 50%
• Demonstrate achievement of each learning outcome

The assessment tasks include:

1. Mid-semester examination (20%)
2. Data analysis reports (40%)
3. End-of-semester examination (40%)

Representative Texts and References

• American Psychological Association. (2019). Publication manual of the American Psychological Association (7th ed.).
• Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.).
• Gravetter, F., & Wallnau, L. (2017). Statistics for the behavioral sciences (10th ed.).
• Howitt. (2019). Introduction to qualitative research methods in psychology: Putting theory into practice (4th ed.).
• Navarro, D.J. & Foxcroft, D.R. (2019). Learning statistics with jamovi: A tutorial for psychology students and other beginners.
• Rigney. (1999). Internationalization of an Indigenous anticolonial cultural critique of research methodologies: A guide to Indigenist research methodology and its principles.