PSYCH307-20B (HAM)

Psychological Research Methods

15 Points

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Division of Arts Law Psychology & Social Sciences
School of Psychology

Staff

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Convenor(s)

Lecturer(s)

Administrator(s)

: donna.walsh@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: alistair.lamb@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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Paper Description

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This paper introduces students to a range of research theories and methods, preparing them to be critical consumers of Psychological Research.

Introduce a range of psychological research methods.
Introduce methods of quantitative and qualitative research.
Introduce computer‐assisted data analysis.
Facilitate the understanding of research.
Facilitate the design of novel research.

Staff will be available for discussion with students primarily via Moodle. Use Student Private Help if you have a question that is specific to you. If you have a general question, please consider using the “public” Q&A forum. That means students can help each other and others can benefit from reading the responses to your question.
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Paper Structure

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The paper includes two major components: lectures and laboratories.
There are two 2-hour lectures per week and you need to watch both lectures each week. All lectures are recorded on Panopto and will be available on Moodle.
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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • Describe a range of quantitative and qualitative research methods used in psychology.
    Linked to the following assessments:
    Test 1 (1)
    Test 2 (2)
    Test 3 (3)
  • Carry out basic analyses of qualitative and quantitative data.
    Linked to the following assessments:
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Assessment

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Three Online Tests (60%)

Students will sit for three tests in the semester. Each test is worth 20% of the students' final marks. The tests will be in the format of an online Moodle quiz. The test is open-book, which mean students are allowed to refer to any lecture material, readings or hand-written notes.

Two Laboratory Reports (40%)

Students will be provided with raw data to conduct statistical analysis (e.g.correlation, multiple regression, factorial ANOVA). Students will:

1) Conduct statistical analysis using software packages (e.g. IBM SPSS).

2) Report and interpret the results by writing a laboratory report.

More details about these assignments will be provided in the labs and on Moodle.

Please ask the lab instructors or teaching assistant any questions that you may have regarding the laboratory report. They are there to help you and guide your work.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Test 1
13 Aug 2020
11:30 PM
20
  • Online: Submit through Moodle
2. Test 2
24 Sep 2020
11:30 PM
20
  • Online: Submit through Moodle
3. Test 3
15 Oct 2020
11:30 PM
20
  • Online: Submit through Moodle
4. Laboratory Report 1
31 Aug 2020
11:30 PM
20
  • Online: Submit through Moodle
5. Laboratory Report 2
16 Oct 2020
11:30 PM
20
  • Online: Submit through Moodle
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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There is no required textbook. Readings and lecture notes will be available on Moodle, usually 24 hours prior to the lecture.
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Recommended Readings

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I recommend the following statistical texts for more information on the statistics, and help with the lab exercises:

Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage: Los Angeles. ISBN 978‐1‐5264-1951-4. (Earlier editions are fine.)

Cumming, G., & Calin-Jageman, R. (2017). Introduction to the new statistics: Estimation, open science and beyond. Routledge: New York. ISBN 978-1-138-82552-9.

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Other Resources

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Other readings will be made available on Moodle.
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Online Support

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This paper is supported through Moodle.
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Workload

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The amount of work expected of a typical student in a 15‐point undergraduate paper (offered over one semester) is approximately 12 hours per week, including class contact time. This is only approximations, as papers vary in their requirements and students vary in both the amount of effort required and the level of grades they wish to achieve.

In PSYC307 you have 4 hours of lectures each week plus 2 hours of laboratories. You will need to budget for independent study each week to read course materials and prepare for tests. You may work on laboratory exercises in your own time and bring them to class to be signed off.

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Linkages to Other Papers

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PSYC307 is required for entry into graduate study (as well as being a specific pre-requisite for several 500-level papers).
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Prerequisite(s)

Prerequisite papers: PSYCH211 or PSYC208

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: PSYC307

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