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Overview

Design and analysis of psychological experiments.

In this paper, students learn how to analyse research data using the general linear model. This model is the basis for most commonly used statistical techniques in psychological research, including analysis of variance (ANOVA), correlation and regression. Students will gain a conceptual understanding of what the model is, how it is used to analyse data and what it teaches us about how research studies should be designed in the first place.

About this paper

Paper title Quantitative Methods
Subject Psychology
EFTS 0.15
Points 18 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees ( NZD ) $1,318.20
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Prerequisite
((PSYC 201 and PSYC 202) or (PSYC 201 and PSYC 210 and PSYC 212) or (PSYC 202 and PSYC 211) or (PSYC 210 and PSYC 211 and PSYC 212)) and (STAT 110 or STAT 115 or BSNS 112)
Schedule C
Arts and Music, Science
Notes
For Neuroscience students the prerequisite is PSYC210 and (STAT110 or STAT115).
Contact

psy.psyc300@otago.ac.nz

Teaching staff

Dr Ana Stojanov

Paper Structure

Topics:

  • Correlation Analysis
  • Regression Analysis
  • Mediation Analysis
  • Moderation Analysis
  • [In-class test]
  • Conditional Process Analysis
  • One-way ANOVA
  • ANCOVA
  • Factorial ANOVA
  • Repeated Measures ANOVA
  • Mixed ANOVA
Teaching Arrangements

Three 1-hour lectures per week, with an additional 1-hour tutorial per week.

Textbooks

Recommended reading:
Field, A. (2024). Discovering Statistics Using SPSS. Sage
Hayes, A. (2018). Mediation, Moderation and Conditional Process Analysis: A Regression Based Approach. Guilford Publications.

Graduate Attributes Emphasised
Communication, Critical thinking, Information literacy, Research.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will demonstrate the ability to understand, apply and interpret advanced statistical techniques used in scientific research in psychology.
Assessment details

  • Integrated homework (Project) 30%
  • In class test 20%
  • Final examination 50%

Overview

Design and analysis of psychological experiments.

In this paper, students learn how to analyse research data using the general linear model. This model is the basis for most commonly used statistical techniques in psychological research, including analysis of variance (ANOVA), correlation and regression. Students will gain a conceptual understanding of what the model is, how it is used to analyse data and what it teaches us about how research studies should be designed in the first place.

About this paper

Paper title Quantitative Methods
Subject Psychology
EFTS 0.15
Points 18 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees Tuition Fees for 2027 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Prerequisite
((PSYC 201 and PSYC 202) or (PSYC 201 and PSYC 210 and PSYC 212) or (PSYC 202 and PSYC 211) or (PSYC 210 and PSYC 211 and PSYC 212)) and (STAT 110 or STAT 115 or BSNS 112)
Schedule C
Arts and Music, Science
Notes
For Neuroscience students the prerequisite is PSYC210 and (STAT110 or STAT115).
Contact

psy.psyc300@otago.ac.nz

Teaching staff

Dr Ana Stojanov

Paper Structure

Topics:

  • Correlation Analysis
  • Regression Analysis
  • Mediation Analysis
  • Moderation Analysis
  • [In-class test]
  • One-way ANOVA
  • ANCOVA
  • Factorial ANOVA
  • Repeated Measures ANOVA
  • Mixed ANOVA
Teaching Arrangements

Three 1-hour lectures per week, with an additional 1-hour tutorial per week.

Textbooks

Recommended Reading:

  • Field, A. (2024). Discovering Statistics Using SPSS. Sage.
  • Hayes, A. (2018). Mediation, Moderation and Conditional Process Analysis: A Regression Based Approach. Guilford Publications.

Graduate Attributes Emphasised
Communication, Critical thinking, Information literacy, Research.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will demonstrate the ability to understand, apply and interpret advanced statistical techniques used in scientific research in psychology.
Assessment details

  • Integrated Homework (Project) 30%
  • In-class Test 20%
  • Final Examination 50%

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