Quantitative Research (6002HLS)

This course builds upon a number of undergraduate courses in basic statistics and research methods. There will be a strong emphasis on incorporating research design, sampling and sample size concepts into data analysis and interpretation of research results. Through consideration of a variety of statistical methods, this course will provide students with practical experience and skills focussing on analytical planning, result presentation and interpretation. In particular, emphasis will be on specifying appropriate statistical methods and their interpretation within a health framework. A unifying theme of the course will be the relationship between descriptive statistics and inferential statistics in presenting and interpreting quantitative research data. Students will be made aware of the importance of data management in preparation for statistical analysis. Students will also be provided with substantial practical experience to foster their skills in selecting and applying inferential statistics appropriate to specific data sets. In particular, measurement issues, data type (categorical and continuous variables), test assumptions (distribution of the data, equity of variances) will be considered in deciding between parametric and non-parametric statistical approaches to research questions. Students will develop skills in formulation of experimentally testable hypotheses at the bivariate level. The primary statistical techniques to be covered in this course include Chi-square, correlation, t-test, analysis of variance, simple linear regression, Mann-Whitney test, and Kruskal-Wallis test. Analytical strategies in modelling health data are also introduced in this course, with particular emphasis on multiple linear regressions. Students will be provided with substantial experience in the use of the widely used statistical package SPSS to analyse data. This will be achieved through data analysis and interpretation of various research data sets. NOTE: This is a restricted Honours level course - the course must be listed in the students program of study. Students should have already successfully completed an introductory undergraduate statistics course.

Course study information

Credit points (awarded)

10 (10)

Study level

Undergraduate

Student contribution band

Band 2

Usually available

Gold Coast Trimester 1Online Semester 1Online Semester 2

Course Attributes

Restricted: Course must be listed in Program

Course offerings and timetables

Convenor

Key dates

Course start date
8 July 2019
Last day to add a course
21 July 2019
Last day to drop a course without financial penalty (Census date)
4 August 2019
Last day to drop a course without academic penalty
8 September 2019

Please view the full class and additional timetable information for School of Medicine

Class Availability When Where Notes
You must enrol in this Class
Class (41877) Open Weeks 1 - 5, Mid-Trimester Break, 6 - Study week This is a non-timetabled class. Please refer to the course profile for further information.

Convenor

Key dates

Course start date
25 February 2019
Last day to add a course
10 March 2019
Last day to drop a course without financial penalty (Census date)
24 March 2019
Last day to drop a course without academic penalty
28 April 2019

Please view the full class and additional timetable information for School of Medicine

Class Availability When Where Notes
You must attend this Lecture
Lecture (17423) Open Wednesday 09:00 - 10:50
Weeks 1 - 3
G06 3.18
Academic 2
Gold Coast Campus
Wednesday 09:00 - 11:50
Weeks 4, 6 - 7, 8 - 10
G01 3.38
Academic 1
Gold Coast Campus
Wednesday 09:00 - 11:50
Week 5
G01 3.37
Academic 1
Gold Coast Campus
Class Availability When Where Notes
You must attend one Tutorial
Tutorial (14373) Wednesday 11:00 - 12:50
Weeks 1 - 3
G39 2.26
Science and Engineering
Gold Coast Campus
Tutorial (10718) Open Wednesday 11:00 - 12:50
Weeks 1 - 3
G39 2.26
Science and Engineering
Gold Coast Campus

Convenor

Key dates

Course start date
25 February 2019
Last day to add a course
10 March 2019
Last day to drop a course without financial penalty (Census date)
24 March 2019
Last day to drop a course without academic penalty
28 April 2019

Please view the full class and additional timetable information for School of Medicine

Class Availability When Where Notes
You must enrol in this Class
Class (13077) Open Weeks 1 - 7, Mid-Trimester Break, 8 - 12 This is a non-timetabled class. Please refer to the course profile for further information.

Convenor

Key dates

Course start date
9 July 2018
Last day to add a course
22 July 2018
Last day to drop a course without financial penalty (Census date)
5 August 2018
Last day to drop a course without academic penalty
9 September 2018

Please view the full class and additional timetable information for School of Medicine

Class Availability When Where Notes
You must enrol in this Class
Class (40381) Weeks 1 - 5, Mid-Trimester Break, 6 - 12 This is a non-timetabled class. Please refer to the course profile for further information.