POPST509-23B (HAM)

Research Methods for Population Analysis

15 Points

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The University of Waikato
Academic Divisions
Division of Arts Law Psychology & Social Sciences
Te Ngira Institute for Population Research Office
Te Ngira Institute for Population Research

Staff

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Convenor(s)

Lecturer(s)

Administrator(s)

: anu.mani@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

: shefali.pawar@waikato.ac.nz

Student Representative(s)

Lab Technician(s)

Librarian(s)

: em.pooley@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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What this paper is about

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This methods based paper introduces students to basic concepts of demographic measurement and modelling used to study changes in size, composition and distribution of population. It aims to provide students with hands-on experience in conducting population research and working with real world data to investigate population issues. Students will gain a sound understanding of how to access, analyse and interpret data and how to communicate their findings. More generally, this paper introduces students to a variety of practical techniques for analyzing data throughout the social sciences. These skills are directly applicable to a range of policy analyst and advisor positions in the private and public sectors.
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How this paper will be taught

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The paper covers basic population measures of fertility, nuptiality, mortality, migration and health; life table construction and its link to survival analysis; population projection; and mixed methods. Several newer approaches and uses (such as administrative data and big data) are also introduced. Presentations in lectures and tutorials include algebra and it is assumed that students are up to date on access and processing of electronic research material, both through Moodle, and other resources provided through the library (such as JSTOR, Web of Knowledge, etc.). The paper will make significant use of the excel spreadsheet software and students will get hands on experience applying that to population studies through tutorials. Overall, the paper focuses on understanding demographic concepts and measures, their applications to data, and demographic interpretation.

This paper is entirely internally assessed (1:0). Assessment includes five assignments, one research note outline and one final research note. POPST509 is a 15 point paper at level five. Students are expected to do 8-10 hours per week (over the 14 week semester) of study, reading, writing, and data manipulation through assignments in addition to the following:

Weekly lectures: 12 x 2 = 24 hours
Tutorial sessions: 5 x 2 = 10 hours

All lectures are conducted on campus (unless otherwise communicated) as well as recorded and uploaded to Moodle.
All tutorials are conducted online via zoom as well as recorded and uploaded to Moodle.

The tutorials will provide hands on applications to the excel spreadsheet software as it applies to population studies. Topics will correspond to material covered in lectures and will mainly address the main theme of the assignment the week before it is due with applications using New Zealand data.

Tutorials will be given by Shefali Pawar online, recorded and uploaded to Moodle on the following dates and times:

NameTutorial Data and Time
Tutorial 1Thursday 13 July, 2:00 - 4:00 PM
Tutorial 2Thursday 20 July, 2:00 - 4:00 PM
Tutorial 3Thursday 27 July, 2:00 - 4:00 PM
Tutorial 4Thursday 17 August, 2:00 - 4:00 PM
Tutorial 5Thursday 21 September, 2:00 - 4:00 PM
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Required Readings

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Required Readings:

This course will make use of Moodle. A comprehensive schedule with required readings, journal articles citations, guest lecturers bios, and links to available course material, as appropriate will be listed there. Students are encouraged to keep an eye on the mass media for relevant, topical material. Use should also be made of the internet to keep abreast of major debates. The course will draw mainly from the following text books:

Rowland, D. (2003). Demographic Methods and Concepts. Oxford University Press. Multiple copies of this book are available in the Library. See also http://www.oup.com/uk/orc/bin/9780198752639/

Thomas, R.K. (2018). Concepts, Methods and Practical Applications in Applied Demography: An Introductory Textbook. Springer. https://waikato.primo.exlibrisgroup.com/permalink/64WAIKATO_INST/1mpj7p3/cdi_askewsholts_vlebooks_9783319654393

Yusuf, F., Martins, J., & Swanson, D. (2014). Methods of Demographic analysis. Dordrecht, Netherlands: Springer. Copies of this book are available in the Library and online see: https://ebookcentral-proquest-com.ezproxy.waikato.ac.nz/lib/waikato/detail.action?docID=1538857

Carmichael, G. (2016). Fundamentals of Demographic Analysis: Concepts, Measures and Methods. Springer. Copies of this book are available in the Library and online see: https://link-springer-com.ezproxy.waikato.ac.nz/book/10.1007%2F978-3-319-23255-3

Recommended Readings:

In addition, you may wish to consult other recommended materials. All are useful in their own way and take up population methods from
different viewpoints. These may be cited in lectures. A book on excel data analysis is also listed.

Preston, S., P. Heuveline and M. Guillot.(2001). Demography: Measuring and Modeling Population Processes. Oxford. A
standard text that contains formal demographic development of key material, emphasizing fertility, mortality, and age structure.

Poston D. (2019). Handbook of Population Second Edition. Available at: https://link-springer-com.ezproxy.waikato.ac.nz/book/10.1007/978-3-030-10910-3

Haupt, A., Kane, T., & Haub, C. (2011). The Population Handbook. Population Reference Bureau. Available at: https://www.prb.org/wp-content/uploads/2011/09/prb-population-handbook-2011.pdf

Guerrero, H. (2019). Excel Data Analysis: Modelling and Simulation: Second Edition. Available at: https://link-springer com.ezproxy.waikato.ac.nz/book/10.1007/978-3-030-01279-3

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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Understand and describe the processes that cause population change
    Linked to the following assessments:
  • Understand and apply various concepts and methods to study population change
    Linked to the following assessments:
  • Understand and interpret various demographic measures
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  • Understand, construct, calculate, and interpret basic demographic indicators
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  • Access and locate appropriate demographic data sources and understand their relative strengths and weaknesses
    Linked to the following assessments:
  • Understand the relationship between population change and policy
    Linked to the following assessments:
  • Read, interpret, write, evaluate, critique and communicate ideas regarding population issues at an appropriate graduate level
    Linked to the following assessments:
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Assessments

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How you will be assessed

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This paper makes use of the following assessments:

  1. Five assignments (10% each, 50% total) will include problem sets that make significant use of spreadsheet software.
  2. Research Note submitted in two parts:
    1. Research Note Outline (10%), between 1000-1500 words
    2. Final Research Note (40%), between 4000-4500 words

Detailed guidelines for research note outline and final research note will be provided well in advance based on the assessment schedule below.

Assessment Schedule

Open Date/TimeClose Date/TimeAssessmentValue (%)
Thursday 13 July, 10 amWednesday 19 July, 4 pmAssignment 110
Thursday 20 July, 10 amWednesday 26 July, 4 pmAssignment 210
Thursday 27 July, 10 amWednesday 2 August, 4 pmAssignment 310
Thursday 17 August, 10 amWednesday 23 August, 4 pmAssignment 410
Thursday 20 July, 10 amFriday 15 September, 4 pmResearch Note Outline10
Thursday 21 September, 10 amWednesday 27 September, 4 pmAssignment 5 10
Thursday 20 July, 10 amFriday 20 October, 4 pmFinal Research Note40
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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. Assignments (5 x 10% each)
50
  • Online: Submit through Moodle
2. Research Note Outline
15 Sep 2023
4:00 PM
10
  • Online: Submit through Moodle
3. Final Research Note
20 Oct 2023
4:00 PM
40
  • 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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