PSYCHOLOGICAL RESEARCH METHODS

PSY2PRM

2020

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.

School: Psychology and Public Health (Pre 2022)

Credit points: 15

Subject Co-ordinator: Brad Wright

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 2 - UG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

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-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Discovering Statistics Using IBM SPSS Statistics

Resource Type: Book

Resource Requirement: Recommended

Author: Andy Field

Year: 2017

Edition/Volume: N/A

Publisher: Sage

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

COMMUNICATION - Communicating and Influencing

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Creativity and Innovation

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

PERSONAL AND PROFESSIONAL - Leadership and Teamwork

Intended Learning Outcomes

01. Select the statistical techniques that are appropriate to the research hypotheses being tested.

02. Prepare data to meet the distributional assumptions of statistical tests.

03. Use software for statistical computing and select the appropriate analytical and output options.

04. Select and conduct correlational analyses to analyse relationships between variables and Analyses of Variance to analyse differences between means.

05. Interpret and report on the outcome of statistical tests in APA format.

Albury-Wodonga, 2020, Semester 1, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Brad Wright

Class requirements

LectureWeek: 10 - 22
Three 1.00 hour 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

LectureWeek: 10 - 22
Two 1.00 hour 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 2.00 hours tutorial per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Data Analysis Assignments (2 x 1000-words)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5
Exam (1 x 2 hours)72 items per 1 occasion. Equates to < 2000words	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO4, SILO5
Quiz - 4 during semester (Total 500-words equivalent)5 items per 4 occasions.	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5

Bendigo, 2020, Semester 1, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Brad Wright

Class requirements

LectureWeek: 10 - 22
Three 1.00 hour lecture per study period on weekdays during the day from week 10 to week 22 and delivered via video conference.
Lectures delivered Weeks 1, 6, 12

LectureWeek: 10 - 22
Two 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via online.

TutorialWeek: 11 - 21
One 2.00 hours tutorial per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Data Analysis Assignments (2 x 1000-words)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5
Exam (1 x 2 hours)72 items per 1 occasion. Equates to < 2000words	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO4, SILO5
Quiz - 4 during semester (Total 500-words equivalent)5 items per 4 occasions.	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5

Melbourne (Bundoora), 2020, Semester 1, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Brad Wright

Class requirements

LectureWeek: 10 - 22
Two 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via online.

LectureWeek: 10 - 22
Three 1.00 hour 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

TutorialWeek: 11 - 21
One 2.00 hours tutorial per week on weekdays during the day from week 11 to week 21 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Data Analysis Assignments (2 x 1000-words)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5
Exam (1 x 2 hours)72 items per 1 occasion. Equates to < 2000words	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO4, SILO5
Quiz - 4 during semester (Total 500-words equivalent)5 items per 4 occasions.	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5

Albury-Wodonga, 2020, Summer , Online

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Brad Wright

Class requirements

LectureWeek: 45 - 0
Two 1.00 hour lecture per week on weekdays during the day from week 45 to week 0 and delivered via online.

TutorialWeek: 45 - 0
One 2.00 hours tutorial per week on weekdays during the day from week 45 to week 0 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	Category	Contribution	Hurdle	%	ILO*
Data Analysis Assignments (2 x 1000-words)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5
Exam (1 x 2 hours)72 items per 1 occasion. Equates to < 2000words	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO4, SILO5
Quiz - 4 during semester (Total 500-words equivalent)5 items per 4 occasions.	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5

Bendigo, 2020, Summer , Online

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Brad Wright

Class requirements

LectureWeek: 45 - 0
Two 1.00 hour lecture per week on weekdays during the day from week 45 to week 0 and delivered via online.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Data Analysis Assignments (2 x 1000-words)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5
Exam (1 x 2 hours)72 items per 1 occasion. Equates to < 2000words	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO4, SILO5
Quiz - 4 during semester (Total 500-words equivalent)5 items per 4 occasions.	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5

Melbourne (Bundoora), 2020, Summer , Online

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Brad Wright

Class requirements

LectureWeek: 45 - 0
Two 1.00 hour lecture per week on weekdays during the day from week 45 to week 0 and delivered via online.

TutorialWeek: 45 - 0
One 2.00 hours tutorial per week on weekdays during the day from week 45 to week 0 and delivered via online.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Data Analysis Assignments (2 x 1000-words)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5
Exam (1 x 2 hours)72 items per 1 occasion. Equates to < 2000words	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO4, SILO5
Quiz - 4 during semester (Total 500-words equivalent)5 items per 4 occasions.	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5