psy2prm psychological research methods
PSYCHOLOGICAL RESEARCH METHODS
PSY2PRM
2019
Credit points: 15
Subject outline
The two parts of 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.
SchoolSchool of Psychology & Public Health
Credit points15
Subject Co-ordinatorBrad Wright
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 (One of STA1PSY, STA1STM, STA1CTS, STA1IDA) or by approval from the Subject Coordinator.
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 | Discovering Statistics Using IBM SPSS Statistics ED. 5 | Recommended | Andy Field, 2017 | Sage |
Graduate capabilities & intended learning outcomes
01. Select the statistical techniques that are appropriate to the research hypotheses being tested.
- Activities:
- Task: In tutorials, students will be provided with data and will learn how to determine the level of measurement of data being analysed and select the appropriate statistical tests that will answer the research questions. Formative: Parts of two of 12 tutorial class exercises Formative and Summative: 50% assessed in two assignments on data analysis. Summative: Exam.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
02. Prepare data to meet the distributional assumptions of statistical tests.
- Activities:
- Task: In tutorials, students will learn how to assess and, if required, transform the distributional characteristics of variables. Formative: Parts of two of 12 tutorial class exercises. Formative and Summative: 50% assessed in two assignments on data analysis. Summative: Exam.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
03. Use software for statistical computing and select the appropriate analytical and output options.
- Activities:
- Task: In tutorials, students will learn how to conduct tests of correlation, regression, analyses of variance and further post hoc tests, using software for statistical computing. Formative: Parts of six of 12 tutorial class exercises. Formative and Summative: 50% assessed in two assignments on data analysis.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
04. Select and conduct correlational analyses to analyse relationships between variables and Analyses of Variance to analyse differences between means.
- Activities:
- Task: In tutorials, students will learn how to select and perform statistical techniques appropriate to the research question on relationships and on differences between means. Formative: Parts of six of 12 tutorial class exercises. Formative and Summative: 50% assessed in two assignments on data analysis. Summative: Exam.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Interpret and report on the outcome of statistical tests in APA format.
- Activities:
- Task: In tutorials, students will learn how to interpret and reporting the results of statistical analyses in APA format. Formative: Parts of six of 12 tutorial class exercises. Formative and Summative: 50% assessed in two assignments on data analysis. Summative: Exam.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
Select to view your study options…
Albury-Wodonga, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBrad Wright
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 online.
"Lectures online from Week 1"
TutorialWeek: 11 - 21
One 2.0 hours tutorial per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.
LectureWeek: 10 - 22
Three 1.0 hours lecture per study period on weekdays during the day from week 10 to week 22 and delivered via video conference.
"Lecture held in weeks 1, 6, 12"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Data Analysis Assignments (2 x 1000-words) | 50 | 01, 02, 03, 04, 05 | |
| Exam (1 x 2 hours) | 72 items per 1 occasion. Equates to < 2000words | 40 | 01, 02, 04, 05 |
| Quiz - 4 during semester (Total 500-words equivalent) | 5 items per 4 occasions. | 10 | 01, 02, 03, 04, 05 |
Albury-Wodonga, 2019, Summer, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBrad Wright
Class requirements
LectureWeek: 45
Two 1.0 hours lecture per week on weekdays during the day in week 45 and delivered via online.
TutorialWeek: 45
One 2.0 hours tutorial per week on weekdays during the day in week 45 and delivered via online.
"Web conferencing tutorial. Enrolled students will use the web conferencing program and have SPSS software installed on their personal computers"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Data Analysis Assignments (2 x 1000-words) | 50 | 01, 02, 03, 04, 05 | |
| Exam (1 x 2 hours) | 72 items per 1 occasion. Equates to < 2000words | 40 | 01, 02, 04, 05 |
| Quiz - 4 during semester (Total 500-words equivalent) | 5 items per 4 occasions. | 10 | 01, 02, 03, 04, 05 |
Bendigo, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBrad Wright
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 online.
TutorialWeek: 11 - 21
One 2.0 hours tutorial per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.
LectureWeek: 10 - 22
Three 1.0 hours lecture per study period on weekdays during the day from week 10 to week 22 and delivered via video conference.
"Lectures deliverd Weeks 1, 6, 12"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Data Analysis Assignments (2 x 1000-words) | 50 | 01, 02, 03, 04, 05 | |
| Exam (1 x 2 hours) | 72 items per 1 occasion. Equates to < 2000words | 40 | 01, 02, 04, 05 |
| Quiz - 4 during semester (Total 500-words equivalent) | 5 items per 4 occasions. | 10 | 01, 02, 03, 04, 05 |
Bendigo, 2019, Summer, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBrad Wright
Class requirements
LectureWeek: 45
Two 1.0 hours lecture per week on weekdays during the day in week 45 and delivered via online.
TutorialWeek: 45
One 2.0 hours tutorial per week on weekdays during the day in week 45 and delivered via online.
"Web conferencing tutorial. Enrolled students will use the web conferencing program and have SPSS software installed on their personal computers"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Data Analysis Assignments (2 x 1000-words) | 50 | 01, 02, 03, 04, 05 | |
| Exam (1 x 2 hours) | 72 items per 1 occasion. Equates to < 2000words | 40 | 01, 02, 04, 05 |
| Quiz - 4 during semester (Total 500-words equivalent) | 5 items per 4 occasions. | 10 | 01, 02, 03, 04, 05 |
Melbourne, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBrad Wright
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 online.
TutorialWeek: 11 - 21
One 2.0 hours tutorial per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.
LectureWeek: 10 - 22
Three 1.0 hours lecture per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"Lectures occur in Weeks 1,6, 12"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Data Analysis Assignments (2 x 1000-words) | 50 | 01, 02, 03, 04, 05 | |
| Exam (1 x 2 hours) | 72 items per 1 occasion. Equates to < 2000words | 40 | 01, 02, 04, 05 |
| Quiz - 4 during semester (Total 500-words equivalent) | 5 items per 4 occasions. | 10 | 01, 02, 03, 04, 05 |
Melbourne, 2019, Summer, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBrad Wright
Class requirements
LectureWeek: 45
Two 1.0 hours lecture per week on weekdays during the day in week 45 and delivered via online.
TutorialWeek: 45
One 2.0 hours tutorial per week on weekdays during the day in week 45 and delivered via online.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Data Analysis Assignments (2 x 1000-words) | 50 | 01, 02, 03, 04, 05 | |
| Exam (1 x 2 hours) | 72 items per 1 occasion. Equates to < 2000words | 40 | 01, 02, 04, 05 |
| Quiz - 4 during semester (Total 500-words equivalent) | 5 items per 4 occasions. | 10 | 01, 02, 03, 04, 05 |