STATISTICS FOR PSYCHOLOGY

STA1PSY

2016

Credit points: 15

Subject outline

This subject is designed to introduce students undertaking the major stream of psychology to a range of statistical methods used in contemporary psychological research. The material covered in this subject aims to help students understand statistical principles through the introduction of basic statistical procedures. This subject will also help students comprehend statistical analyses in scientific research papers. The statistical computing package SPSS is an integral part of this subject with weekly practice classes held in a computer laboratory. (This subject is normally co-requisite for PSY1CFP and pre-requisite for PSY2PRM.)

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorMitra Jazayeri

Available to Study Abroad StudentsYes

Subject year levelYear Level 1 - UG

Exchange StudentsYes

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisites For students in the following courses: SBBS, SBPS, SHP, SBS, SBSSO, SBSAP, SBSAPB, SBSAPW, RBBS, SBPSB, SBPSW, SBSB, STBSW, SBSSOB, SBSSOW, LWLPS, LWLPY and LWLPYB this subject is normally a co-requisite for PSY1CFP.

Incompatible subjects STA1LS, STA1SS, STA2SS, STA1CTS, STA1STM, ECO1ISB

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsStatistics for Psychology, SPSS manual and exercises for the behavioural sciencesPrescribedJazayeri, M and Quah, HDEPARTMENT OF MATHEMATICS AND STATISTICS
ReadingsStatistics for the behavioral and social sciences. A brief course.PrescribedAron, A., Aron, E. and Coups, E.J.4TH EDN. PRENTICE HALL. 2008.
MediaWeekly youtube videosPrescribedTo be supplied.
MediaOnline interviews with professionalsPrescribedRefer to LMS page.
ReadingsStatistics for Psychology, SPSS manual and exercises for the behavioural SciencesRecommendedJazayeri,M and Quah, HDEPARTMENT OF MATHEMATICS AND STATISTICS

Graduate capabilities & intended learning outcomes

01. Interpret and manipulate data, using basic arithmetical calculations and graphical representations.

Activities:
In exam questions, and 5 written assignments, students are required to use basic mathematical procedures/formulae, graph data, calculate point estimates and interval estimates, analyse data in terms of hypotheses.

02. Understand and define research questions in statistical terms and apply statistical techniques to analyse the data.

Activities:
Fortnightly written assignments, mid-term computer tests and the final exam assess this ILO.

03. Apply statistical knowledge to produce and interpret outputs for descriptive and inferential statistics, using the statistical computer package SPSS.

Activities:
Two 45 minute in-class computer tests. Parts of the weekly assignments involve use of SPSS computer package.

04. Conduct parametric and nonparametric hypothesis tests and provide non-technical informative conclusions.

Activities:
Fortnightly written assignments, mid-term computer tests and the final exam assess this ILO

05. Explain and interpret the results of statistical analysis using statistical and psychological terms.

Activities:
Clear written statement of conclusions are assigned marks in assignments and the exam.

Subject options

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Start date between: and    Key dates

Melbourne, 2016, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMitra Jazayeri

Class requirements

Practical Week: 31 - 43
One 1.0 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Lecture Week: 32 - 43
One 1.0 hours lecture per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

Computer Laboratory Week: 31 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Lecture Week: 31 - 31
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 31 and delivered via face-to-face.

Lecture Week: 32 - 43
Two 1.0 hours lecture per week on any day including weekend during the day from week 32 to week 43 and delivered via online.

Assessments

Assessment elementComments% ILO*
five 100-word assignments20 01, 02, 03, 04, 05
one 2-hour examination50 01, 02, 04, 05
two 45-minute computer tests30 01, 02, 03, 04