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Research Methodology and Data Integration
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MOOC
Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.
What kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.
- Keywords:
- Reasoning Problem solving Critical thinking Decision making
- Resource Type:
- MOOC
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Others
The Library produced short Cantonese tutorials and organized workshops on SPSS and has subscribed to Linkedin Learning (former Lynda.com) and SAGE Research Methods Videos which provides SPSS online courses and tutorials. Of course, we also have books! There are also free websites you can use to learn SPSS.
- Keywords:
- SPSS (Computer file) Statistics -- Data processing Statistics -- Computer programs
- Resource Type:
- Others
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MOOC
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This free course, Getting started with SPSS, takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
- Keywords:
- SPSS (Computer file) Statistics -- Computer programs Statistics -- Data processing
- Resource Type:
- MOOC
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Others
The IEA is committed to shaping a secure and sustainable energy future for all
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MOOC
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Subjects:
- Business Information Technology and Computing
- Keywords:
- Electronic data processing Data mining Problem solving
- Resource Type:
- MOOC
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Video
Follow along with these 6 steps to plan and write your research design! By the end of the playlist, you’ll have a clear, concrete plan for collecting and analyzing your data.
- Keywords:
- Research -- Methodology
- Resource Type:
- Video
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Video
This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.
- Course related:
- ENGL518 Research Design and Methods
- Keywords:
- Statistics -- Computer programs SPSS (Computer file) Social sciences -- Statistical methods -- Computer programs
- Resource Type:
- Video
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e-book
Komnzo is a Papuan language of Southern New Guinea spoken by around 250 people in the village of Rouku. Komnzo belongs to the Tonda subgroup of the Yam language family, which is also known as the Morehead Upper-Maro group. This grammar provides the first comprehensive description of a Yam language. It is based on 16 months of fieldwork. The primary source of data is a text corpus of around 12 hours recorded and transcribed between 2010 and 2015. Komnzo provides many fields of future research, but the most interesting aspect of its structure lies in the verb morphology, to which the two largest chapters of the grammar are dedicated. Komnzo verbs may index up to two arguments showing agreement in person, number and gender. Verbs encode 18 TAM categories, valency, directionality and deictic status. Morphological complexity lies not only in the amount of categories that verbs may express, but also in the way these are encoded. Komnzo verbs exhibit what may be called ‘distributed exponence’, i.e. single morphemes are underspecified for a particular grammatical category. Therefore, morphological material from different sites has to be integrated first, and only after this integration can one arrive at a particular grammatical category. The descriptive approach in this grammar is theory-informed rather than theory-driven. Comparison to other Yam languages and diachronic developments are taken into account whenever it seems helpful.
- Subjects:
- Foreign Language Learning
- Keywords:
- Language languages -- Grammars Textbooks
- Resource Type:
- e-book
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e-book
The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models.The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis, visualization and data management; and it uses publically available survey data (from the Meso-Scale Integrated Socio-geographic Network) to illustrate important concepts and methods. We encourage students to download the data, replicate the examples, and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.
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e-book
The present adaptation constitutes the second Canadian edition and was co-authored by Rajiv S. Jhangiani (Kwantlen Polytechnic University) and I-Chant A. Chiang (Quest University Canada) and is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Revisions include the following: Chapter 1: Added a description of the “Many Labs Replication Project,” added a reference to the Neurobonkers website, and embedded videos about open access publishing, driver distraction, two types of empirical studies, and the use of evidence to evaluate the world around us.Chapter 2: Updated the exemplar study in the chapter overview, added relevant examples and descriptions of contemporary studies, provided a link to an interactive visualization for correlations, added a description of double-blind peer review, added a figure to illustrate a spurious correlation, and embedded videos about how to develop a good research topic, searching the PsycINFO database, using Google Scholar, and how to read an academic paper.Chapter 3: Added in LaCour ethical violation. Revised chapter headings and order to reflect TCPS-2 moral principles.Chapter 4: Added in difference between laws and effects and theoretical framework.Chapter 5: Added fuller descriptions of the levels of measurement, added a table to summarize the levels of measurement, added a fuller description of the MMPI, removed the discussion of the IAT, and added descriptions of concurrent, predictive, and convergent validity.Chapter 6: Added in construct validity, statistical validity, mundane realism, psychological realism, Latin Square Design. Updated references.Chapter 7: Added in mixed-design studies and fuller discussion of qualitative-quantitative debate.Chapter 8: Added an exercise to sketch the 8 possible results of a 2 x 2 factorial experiment.Chapter 9: Added information about Canadian Election Studies, more references, specific guidelines about order and open-ended questions, and rating scale. Updated online survey creation sites.Chapter 11: Updated examples and links to online resources.Chapter 13: Added discussion of p-curve and BASP announcement about banning p-values. Added a section that introduces the “replicability crisis” in psychology, along with discussions of questionable research practices, best practices in research design and data management, and the emergence of open science practices and Transparency and Openness Promotion guidelines. Glossary of key terms: Added. In addition, throughout the textbook, we revised the language to be more precise and to improve flow, added links to other chapters, added images, updated hyperlinks, corrected spelling and formatting errors, and changed references to reflect the contemporary Canadian context.
- Subjects:
- Psychology and Statistics and Research Methods
- Keywords:
- Textbooks Psychology -- Research -- Methodology
- Resource Type:
- e-book
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