| Module Code: PSY2017 |
Module Title: ADVANCED STATISTICS AND DATA ANALYSIS |
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Module Provider: Psychology
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Short Name: PSY2017
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Level: HE2
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Module Co-ordinator: HOGH HP Dr (Psychology)
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Number of credits: 15
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Number of ECTS credits: 7.5
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| Module Availability |
| Semester 1 |
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| Assessment Pattern |
Exam (2 hours) - Weighting 100%
Qualifying Conditions
A mark of 40% is required to pass the module. |
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| Module Overview |
Scientific methods have evolved considerably over the last few decades. With the mainstream availability of statistical software, the use of more complicated statistical procedures has increased substantially. For example, Grimm & Yarnold (1995) noted that from 1976 to 1992, the use of advanced statistical procedures had increased from between 9 - 16% to 57-67% of studies reported in two journals. In order to fully comprehend current research findings, you need to understand more advanced statistics. Placements often utilise larger data sets and here the need to apply more advanced methods is also increasing.
The module will involve a combination of lectures and workshops. The lectures will cover a particular statistical concept; the theoretical and mathematical basis will be explored using research examples, in class experiments and simpler illustrative examples, also incorporating technological aids to further student centred interaction. The workshops will focus on 'practising' the theoretical content of the preceding lecture, using data sets to be explored via SPSS from a student-led approach. These together will provide experience and knowledge of theoretical coverage and analysis from a more practical perspective which will give a broader understanding of advanced statistical methods in psychology. |
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| Prerequisites/Co-requisites |
| Successful completion of Introduction to statistics and data analysis, and Further statistics and data analysis. The topics covered in Advanced statistics and data analysis builds upon the knowledge attained in these two modules. |
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| Module Aims |
Now that you know and understand basic statistical procedures, we can build and expand your knowledge to include more advanced statistical techniques. This module will introduce you to these, showing you how to:
- Correctly analyse experimental data using advanced statistical procedures and understand the assumptions and limitations of these.
- Understand the correct formats used to present data and statistical results and enabling the ability to interpret statistical results. |
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| Learning Outcomes |
- To be familiar with advanced statistical procedures, large data set handling and multiple variable techniques.
- Be familiar with assumptions and limitations within each procedure.
- Understand the assertion and controversy embedded within the development of statistical methods.
- Understand evaluations of robustness, power, strengths and weaknesses for the individual procedures covered.
- Be able to conceptually understand advanced statistical analyses, their equational basis, run them in SPSS and report the results in APA format.
- To have a more developed understanding of and ability in qualitative data analysis.
- Be able to interpret results and relate the findings to the broader context of psychological phenomena and large scale studies. |
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| Module Content |
Below is the schedule for the module.
Week
1 Introduction aqnd test selection
2 Hierarchical & multiple regression
3 Logistic regression
4 Discriminant analysis
5 MANOVA
6 ANCOVA, CFA (Amos)
7 Loglinear analysis
8 Multilevel linear models
9 Multidimensional scaling
10 Qualitative anlysis
11 Revision (no workshop)
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| Methods of Teaching/Learning |
The module will combine weekly 2-hour lectures with weekly 2-hour workshops. The lectures will contain a combination of presentation of theories of statistics (by the lecturer) with short interactive exercises and group work, and will also include the use of the eletronic voting system. Further, the lecture presentation will be recorded and made available via ULearn to aid knowledge consolidation and for help with exam revision.
The workshops will consist of a brief 'recap' lecture in the beginning (5-10 minutes) followed by exercises to be completed in small groups or independently by the students. These exercises will involve the use of real data from published studies, as well as, simpler created data sets where attention can be directed towards a specific statistical consideration. The exercises include a minimal use of prompts to further independence of thought in relation to the topics covered. Performance in the workshops will substantially rely on the readings set beforehand.
A dedicated ULearn site will also be utilised, including discussion boards, where students can discuss issues arising with different statistical procedures and theories. Handouts from the lectures, workshop materials and recordings will also be available. Readings will be set for each week, including relevant chapters in the core text books, as well as, further readings such as journal articles. The core readings will ensure a thorough understanding of the topic, and the further readings will provide broader considerations of each topic, such as validity, reliability and scientific methodology. |
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| Selected Texts/Journals |
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Core text book:
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: SAGE. [A comprehensive book that will also be used in the second year, and many students also find it useful for their dissertation work. Also includes guidance on how to report results in APA style].
Other recommended books [subject to change]:
Hair, J. F., Jr., Black, W. C., Babin, B. J., and Anderson, R. E. (2009). Multivariate
Data Analysis (7th ed.). Pearson Education. [6th edition available from the library. Focuses on the material from a conceptual point of view, rather than the equational background - comprehensive]
Howell, D. (2010). Statistical methods for psychology (7th ed.). Belmont, CA: CEngage Wadsworth. [A thorough book, a very good alternative to Field without the jokes, though covers topics from a more mathematical perspective. Doesn’t cover multilevel linear models or multidimensional scaling].
Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using SPSS. Maidenhead: Open University Press. [A easy to use step-by-step guide of how to run statistical procedures in SPSS and report and interpret the results, covers topics until week 6 inclusive].
Tabachnick, B. G. and Fidell, L. S. (2005). Using multivariate statistics (5th ed.). London: Pearson Education. [a very comprehensive text book, covers the procedures equational background in greater detail than Field – however, it’s writing style is not as accessible and assumes a high level of statistical proficiency].
Other resources [not yet complete]:
SPLASH [Courses in the use of SPSS are available for students who need revision in running more basic stats procedures in SPSS].
Core text book:
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: SAGE. [A comprehensive book that will also be used in the second year, and many students also find it useful for their dissertation work. Also includes guidance on how to report results in APA style].
Other recommended books [subject to change]:
Hair, J. F., Jr., Black, W. C., Babin, B. J., and Anderson, R. E. (2009). Multivariate
Data Analysis (7th ed.). Pearson Education. [6th edition available from the library. Focuses on the material from a conceptual point of view, rather than the equational background - comprehensive]
Howell, D. (2010). Statistical methods for psychology (7th ed.). Belmont, CA: CEngage Wadsworth. [A thorough book, a very good alternative to Field without the jokes, though covers topics from a more mathematical perspective. Doesn’t cover multilevel linear models or multidimensional scaling].
Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using SPSS. Maidenhead: Open University Press. [A easy to use step-by-step guide of how to run statistical procedures in SPSS and report and interpret the results, covers topics until week 6 inclusive].
Tabachnick, B. G. and Fidell, L. S. (2005). Using multivariate statistics (5th ed.). London: Pearson Education. [a very comprehensive text book, covers the procedures equational background in greater detail than Field – however, it’s writing style is not as accessible and assumes a high level of statistical proficiency].
Other resources [not yet complete]:
SPLASH [Courses in the use of SPSS are available for students who need revision in running more basic stats procedures in SPSS].
Core text book:
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: SAGE. [A comprehensive book that will also be used in the second year, and many students also find it useful for their dissertation work. Also includes guidance on how to report results in APA style].
Other recommended books [subject to change]:
Hair, J. F., Jr., Black, W. C., Babin, B. J., and Anderson, R. E. (2009). Multivariate
Data Analysis (7th ed.). Pearson Education. [6th edition available from the library. Focuses on the material from a conceptual point of view, rather than the equational background - comprehensive]
Howell, D. (2010). Statistical methods for psychology (7th ed.). Belmont, CA: CEngage Wadsworth. [A thorough book, a very good alternative to Field without the jokes, though covers topics from a more mathematical perspective. Doesn’t cover multilevel linear models or multidimensional scaling].
Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using SPSS. Maidenhead: Open University Press. [A easy to use step-by-step guide of how to run statistical procedures in SPSS and report and interpret the results, covers topics until week 6 inclusive].
Tabachnick, B. G. and Fidell, L. S. (2005). Using multivariate statistics (5th ed.). London: Pearson Education. [a very comprehensive text book, covers the procedures equational background in greater detail than Field – however, it’s writing style is not as accessible and assumes a high level of statistical proficiency].
Other resources [not yet complete]:
SPLASH [Courses in the use of SPSS are available for students who need revision in running more basic stats procedures in SPSS].
Core text book:
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: SAGE. [A comprehensive book that will also be used in the second year, and many students also find it useful for their dissertation work. Also includes guidance on how to report results in APA style].
Other recommended books [subject to change]:
Hair, J. F., Jr., Black, W. C., Babin, B. J., and Anderson, R. E. (2009). Multivariate
Data Analysis (7th ed.). Pearson Education. [6th edition available from the library. Focuses on the material from a conceptual point of view, rather than the equational background - comprehensive]
Howell, D. (2010). Statistical methods for psychology (7th ed.). Belmont, CA: CEngage Wadsworth. [A thorough book, a very good alternative to Field without the jokes, though covers topics from a more mathematical perspective. Doesn’t cover multilevel linear models or multidimensional scaling].
Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using SPSS. Maidenhead: Open University Press. [A easy to use step-by-step guide of how to run statistical procedures in SPSS and report and interpret the results, covers topics until week 6 inclusive].
Tabachnick, B. G. and Fidell, L. S. (2005). Using multivariate statistics (5th ed.). London: Pearson Education. [a very comprehensive text book, covers the procedures equational background in greater detail than Field – however, it’s writing style is not as accessible and assumes a high level of statistical proficiency].
Other resources [not yet complete]:
SPLASH [Courses in the use of SPSS are available for students who need revision in running more basic stats procedures in SPSS].
Core text book:
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: SAGE. [A comprehensive book that will also be used in the second year, and many students also find it useful for their dissertation work. Also includes guidance on how to report results in APA style].
Other recommended books [subject to change]:
Hair, J. F., Jr., Black, W. C., Babin, B. J., and Anderson, R. E. (2009). Multivariate
Data Analysis (7th ed.). Pearson Education. [6th edition available from the library. Focuses on the material from a conceptual point of view, rather than the equational background - comprehensive]
Howell, D. (2010). Statistical methods for psychology (7th ed.). Belmont, CA: CEngage Wadsworth. [A thorough book, a very good alternative to Field without the jokes, though covers topics from a more mathematical perspective. Doesn’t cover multilevel linear models or multidimensional scaling].
Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using SPSS. Maidenhead: Open University Press. [A easy to use step-by-step guide of how to run statistical procedures in SPSS and report and interpret the results, covers topics until week 6 inclusive].
Tabachnick, B. G. and Fidell, L. S. (2005). Using multivariate statistics (5th ed.). London: Pearson Education. [a very comprehensive text book, covers the procedures equational background in greater detail than Field – however, it’s writing style is not as accessible and assumes a high level of statistical proficiency].
Other resources [not yet complete]:
SPLASH [Courses in the use of SPSS are available for students who need revision in running more basic stats procedures in SPSS].
Core text book:
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: SAGE. [A comprehensive book that will also be used in the second year, and many students also find it useful for their dissertation work. Also includes guidance on how to report results in APA style].
Other recommended books [subject to change]:
Hair, J. F., Jr., Black, W. C., Babin, B. J., and Anderson, R. E. (2009). Multivariate
Data Analysis (7th ed.). Pearson Education. [6th edition available from the library. Focuses on the material from a conceptual point of view, rather than the equational background - comprehensive]
Howell, D. (2010). Statistical methods for psychology (7th ed.). Belmont, CA: CEngage Wadsworth. [A thorough book, a very good alternative to Field without the jokes, though covers topics from a more mathematical perspective. Doesn’t cover multilevel linear models or multidimensional scaling].
Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using SPSS. Maidenhead: Open University Press. [A easy to use step-by-step guide of how to run statistical procedures in SPSS and report and interpret the results, covers topics until week 6 inclusive].
Tabachnick, B. G. and Fidell, L. S. (2005). Using multivariate statistics (5th ed.). London: Pearson Education. [a very comprehensive text book, covers the procedures equational background in greater detail than Field – however, it’s writing style is not as accessible and assumes a high level of statistical proficiency].
Other resources [not yet complete]:
SPLASH [Courses in the use of SPSS are available for students who need revision in running more basic stats procedures in SPSS].
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| Last Updated |
| 5.5.11 |
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