psy2prm psychological research methods
PSYCHOLOGICAL RESEARCH METHODS
PSY2PRM
2014
Credit points: 15
Subject outline
The topics in this subject deal with statistical inferences that we can make about (1) relationships between measures gathered from a single group of participants and (2) differences in the group means on one variable gathered from two or more groups of participants. In the first part, we start with correlation between variables and move on to more advanced regression topics of using several variables to predict an outcome. In the second part, we start with the basic principles of experimental design to compare data gathered from the same or different groups of participants. We study the Analysis of Variance (ANOVA) in detail, on how we can use it to establish differences between several groups and, following that, how we can compare means between groups.
FacultyFaculty of Science, Tech & Engineering
Credit points15
Subject Co-ordinatorBen Ong
Available to Study Abroad StudentsYes
Subject year levelYear Level 2 - UG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites (One of PSY1EFP or PSY1PYA) and (One of PSY1CFP or PSY1PYB) and (STA1PSY at Melbourne, STA1STM at Bendigo, and STA1CTS at Albury-Wodonga). Students enrolled in courses for which this unit is not core must obtain the approval of the subject coordinator prior to enrolment.
Co-requisitesN/A
Incompatible subjects PSY2PYA, PSY2PYB
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Statistical Methods for Psychology | Prescribed | Howell, DC, 2013 | 5TH ED, WADSWORTH: CENGAGE LEARNING. |
Subject options
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Albury-Wodonga, 2014, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBen Ong
Class requirements
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via video conference.
TutorialWeek: 10 - 22
One 2.0 hours tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| Data Analysis Assignments (2 x 1000 words) | 50 | |
| Exam (1 x 2 hours) | Hurdle requirement: 75% tutorial attendance | 50 |
Bendigo, 2014, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBen Ong
Class requirements
TutorialWeek: 10 - 22
One 2.0 hours tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via video conference.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| Data Analysis Assignments (2 x 1000 words) | 50 | |
| Exam (1 x 2 hours) | Hurdle requirement: 75% tutorial attendance | 50 |
Melbourne, 2014, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBen Ong
Class requirements
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
TutorialWeek: 10 - 22
One 2.0 hours tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| Data Analysis Assignments (2 x 1000 words) | 50 | |
| Exam (1 x 2 hours) | Hurdle requirement: 75% tutorial attendance | 50 |