Accessibility Skip to Global Navigation Skip to Local Navigation Skip to Content Skip to Search Skip to Site Map Menu

STAT311 Design of Research Studies

Design of studies to address different types of research questions. Survey methods, experimental and observational studies, measurement, control of confounding and bias, evaluation of competing designs, determination of study size.

Paper title Design of Research Studies
Paper code STAT311
Subject Statistics
EFTS 0.1500
Points 18 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $886.35
International Tuition Fees (NZD) $3,766.35

^ Top of page

Prerequisite
(STAT 210 or STAT 241 or PSYC 210) or (STAT 110 or STAT 115 and 54 points at 200 level or above).
Restriction
STAT 251
Schedule C
Arts and Music, Science
Contact

katrina.sharples@otago.ac.nz

Teaching staff

To be confirmed

Textbooks

To be advised

Graduate Attributes Emphasised
Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Cultural understanding, Ethics, Environmental literacy, Information literacy, Research, Self-motivation, Teamwork.
View more information about Otago's graduate attributes.
Learning Outcomes

The aim of this paper is to provide students with the knowledge and skills to translate a research aim into specific study objectives, construct a study design to address the objective(s), and write a plan for the statistical analysis.

Specifically, on completion of this paper students will be able to:

  1. Distinguish different types of studies and identify appropriate designs for addressing different types of research questions.
  2. Describe the roles of confounders, mediators and effect modifiers in a study design and analysis and determine an appropriate estimand to address the research question.
  3. Identify the relevant sources of variation and correlation and the units of replication.
  4. Identify potential sources of bias in a study and design a study to minimise bias.
  5. Design and plan the analysis for:
    1. a complex survey.
    2. an experiment.
    3. an observational study.
  6. Carry out a statistical evaluation of a study design, including power and sample size determination.
  7. Describe the ethical considerations in the design, conduct, analysis and reporting of a research study.

^ Top of page

Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

Lecture

Stream Days Times Weeks
Attend
A1 Monday 10:00-10:50 9-16, 18-22
Tuesday 13:00-13:50 9-16, 18-22
Thursday 13:00-13:50 9-16, 18-22

Tutorial

Stream Days Times Weeks
Attend
A1 Thursday 14:00-14:50 9-16, 18-22

Design of studies to address different types of research questions. Survey methods, experimental and observational studies, measurement, control of confounding and bias, evaluation of competing designs, determination of study size.

The reliability of the findings from a research study depends critically on the design of the study. An understanding of the principles of study design is important for all consumers of scientific research, and essential for all those who will be carrying out scientific research. The aim of this paper is to provide students with the knowledge and skills to translate a research aim into specific study objectives, construct a study design to address the objective(s), and write a plan for the statistical analysis. Students will also learn skills in critical evaluation of published research papers.

Paper title Design of Research Studies
Paper code STAT311
Subject Statistics
EFTS 0.1500
Points 18 points
Teaching period First Semester
Domestic Tuition Fees Tuition Fees for 2020 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

^ Top of page

Prerequisite
(STAT 210 or STAT 241 or PSYC 210) or (STAT 110 or STAT 115 and 54 points at 200 level or above).
Restriction
STAT 251
Schedule C
Arts and Music, Science
Eligibility

Students are expected to have either completed STAT210 or to have an understanding of introductory statistics plus 200 level knowledge of another discipline

Contact

katrina.sharples@otago.ac.nz

Teaching staff

To be confirmed

Paper Structure

Main topics:

  • Understanding research questions, aims and objectives
  • Validity and reliability in measurement
  • Sources of variation and correlation
  • Confounding, mediation and effect modification
  • Survey design
  • Design of experiments
  • Observational studies and causal inference
  • Ethics
  • Research frameworks for Maori engagement

 

Textbooks

Textbooks are not required for this paper

Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Ethics, Research, Teamwork.
View more information about Otago's graduate attributes.
Learning Outcomes

The aim of this paper is to provide students with the knowledge and skills to translate a research aim into specific study objectives, construct a study design to address the objective(s), and write a plan for the statistical analysis.

Specifically, on completion of this paper students will be able to:

  1. Distinguish different types of studies and identify appropriate designs for addressing different types of research questions.
  2. Describe the roles of confounders, mediators and effect modifiers in a study design and analysis and determine an appropriate estimand to address the research question.
  3. Identify the relevant sources of variation and correlation and the units of replication.
  4. Identify potential sources of bias in a study and design a study to minimise bias.
  5. Design and plan the analysis for:
    1. a complex survey.
    2. an experiment.
    3. an observational study.
  6. Carry out a statistical evaluation of a study design, including power and sample size determination.
  7. Describe the ethical considerations in the design, conduct, analysis and reporting of a research study.

^ Top of page

Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

Lecture

Stream Days Times Weeks
Attend
A1 Monday 10:00-10:50 9-15, 17, 19-22
Tuesday 13:00-13:50 9-15, 17-22
Thursday 13:00-13:50 9-15, 17-22

Tutorial

Stream Days Times Weeks
Attend
A1 Thursday 14:00-14:50 9-15, 17-22