Design and Statistics II

• • 1. Introduction to Course Design, Design and Methods in Psychology, Revision of Descriptive and Inferential Statistics
  • 2. Revision of Correlation, Simple Linear Regression, Multiple Regression
  • 3. One-Way ANOVA, Contrast testing in One-Way ANOVA
  • 4. Trend Analysis
  • 5. Factorial ANOVA, Contrast testing in Factorial ANOVA
  • 6. Non-parametric Tests, Power

Equivalent subjects

You should not enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:

• MAQ-PSYX248-Design and Statistics II (No longer available)

You must have successfully completed the following subject(s) before starting this subject:

• MAQ-PSYX1101-Introduction to Psychology I
• MAQ-PSYX104-Introduction to Psychology I (No longer available)
• MAQ-PSYX1104-Introduction to Psychology I (No longer available)

• MAQ-PSYX1102-Introduction to Psychology II
• MAQ-PSYX105-Introduction to Psychology II (No longer available)
• MAQ-PSYX1105-Introduction to Psychology II (No longer available)

• MAQ-STAX1103-Introduction to Psychological Design and Statistics
• MAQ-PSYX1105-Introduction to Psychology II (No longer available)

Others

Pre-requisite (PSYX104 and PSYX105) or (PSYC104 and PSYC105) or (PSYU1104 and PSYU1105) or (PSYX1101 and PSYX1102 and STAX1103) NCCW (pre-2020 units) PSYX248, PSY248 NCCW (2020 and onwards) PSYU Design and Statistics II

Additional requirements

• Other requirements -

  Students who have an Academic Standing of Suspension or Exclusion under Macquarie University's Academic Progression Policy are not permitted to enrol in OUA units offered by Macquarie University. Students with an Academic Standing of Suspension or Exclusion who have enrolled in units through OUA will be withdrawn.

This is an intermediate statistics subject that covers both the design and statistical components of experiments common to psychological research. The importance of interpretation based on both the design and statistics components is emphasised, together with concepts of power and sample size requirements for efficient research. Statistical methods covered include: descriptive statistics; one-way and two-way analysis of variance; correlation; regression and non parametric equivalents of ANOVA. The subject includes instruction on the presentation of statistical results in report format. Practical classes are based on the use of the Stata statistical software.

• Mid-session exam (20%)
• Quantitatve analysis task (25%)
• Invigilated final examination (50%)
• Quantitative analysis task (5%)

For textbook details check your university's handbook, website or learning management system (LMS).