Last altered 1/10/06This is under revision, but should be up to date shortly.
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An on campus lecture course in the University of Arizona amounts to 37 1/2 hours of instruction spread through a semester. Our 'topics' will be the virtual counterpart of about 30 one and a quarter hour lectures, delivered at a rate of two a week. There will be notes, readings, discussion groups, and possibly conferencing (or online chat). The course will consist of lectures and discussion of common readings. Emphasis will be placed on the student's ability to analyze and critique published research in the field. |
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Readings |
Set text Patten, Mildred L. [2005]Understanding Research Methods (Fifth Edition) $52.50; ISBN 1-884585-64-7; © 2005; 184 pages. Probably buy it (from the publisher, http://www.pyrczak.com/) it used to be inexpensive and good, which is why I picked it. Now its price seems to be nearly twice as much as I remember, so make your own choice on this. You won't need it until a few weeks into the course. Conceptually there is a 'package' of required readings. We will put up this readings packet online-- it will be accessible from within the password protection of the course. The files are Acrobat pdf files and can be downloaded and printed. There are good online sources, such as
Also check out Research Methods Resources on the WWW |
The Topics |
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1: Introduction |
Aims and objectives of course. What is research? Why do we teach research methods to students of information? |
Readings |
None. |
2: History of Enquiry |
The history of enquiry: philosophy, the institutional organization of enquiry, and the rise of statistical thinking. |
Readings |
None. |
3: Research in Information and Library Science |
Library education in the USA. Funding of research, and why it is important. Publishing research. Information and Library Science research today. |
Readings |
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4: Introduction to the Philosophy of Science |
Deduction and Induction. Inductivism and Hypothetico-deductivism. Falsification and replicability. Operationalism. |
Readings |
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5: Scientific Method in Social Science I: Theories, Hypotheses, Concepts, Constructs, and Variables |
Steps in the scientific approach. Theory and hypothesis development. Elements of a theory. Concepts, constructs, and variables. |
Readings |
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6: Scientific Method in Social Science II: Evidence, Reliability and Validity |
Bayesianism. Reliability and validity. Introducing construct validity, internal validity, and external validity. |
Readings |
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7 : Introduction to Types of Research and Ethics |
Research continuum. Archival research. Lab experiments. Quantitative versus qualitative. Field research. Ethics |
Readings |
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8: Measurement, Scales of Measurement, and Validity and Reliability of Instruments |
Scales of measurement. Instruments and their Validity and Reliability. |
Readings |
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9: Experimental, or Research, Design Issues I |
Detecting causal factors. Experimental design. Problems and Limitations on Research Design R.A.Fisher's work. Lesser goals. Quasi-experimental design. Designs for Library and Information Science |
Readings |
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10: Experimental, or Research, Design Issues 2 |
Threats to validity. Reliability. Internal validity. External validity. The typical process for Library and Information Science Research |
Readings |
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11: Sampling I |
Probability sampling. Random selection and random assignment. Paradox of random sampling and sampling errors. |
Readings |
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12: Sampling II |
Non-probability sampling. Sample size. Some further remarks on sampling for estimation. |
Readings |
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13: The Research Proposal and the Research Report |
A Literature Review. The Research Proposal. The Research Report |
Readings |
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14. Evaluating Research Reports or Papers |
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Readings |
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15: Introduction to Statistics: Descriptive Statistics I |
Graphs. Normal curves. Measures of Central Tendency. Skew. |
Readings |
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16: Descriptive Statistics II: Measures of Variability |
Standard deviations. Graphic measures. Interpreting Descriptive Statistics, and Various Rules of Thumb |
Readings |
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17: Descriptive Statistics III: Normal curve, z, and area under the curve |
Area under the curve. z- curve. |
Readings |
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18: Descriptive Statistics IV: Correlation I |
Correlation and causation: what it is all about. Scatterplots |
Readings |
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19: Descriptive Statistics V: Correlation II |
Chi squared, Linear correlation, Pearson, and Spearman.. |
Readings |
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20: Inferential Statistics I : Estimation |
The general idea. Point and interval estimation. Confidence intervals. Central Limit Theorem. |
Readings |
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21: Inferential Statistics II: Hypothesis Testing |
Fisher's theory on Hypothesis testing. The Neyman-Pearson Theory of Significant Tests. Bayesianism |
Readings |
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22: Inferential Statistics III: Tests that you might meet: Chi square |
Chi- squared. |
Readings |
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23: Inferential Statistics IV: Tests you might meet: t and ANOVA |
t test and analysis of variance |
Readings |
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24: What might go on in Information Science Research I: Evaluation Research. |
Evaluation research. Steps in evaluation research. |
Readings |
None. |
25: What might go on in Information Science Research II: Qualitative Research |
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Readings |
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26: What might go on in Information Science Research III: Surveys and Questionnaires |
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Readings |
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27: What might go on in Information Science Research IV: Bibliometrics and Scientometrics |
Using statistics or scientific methods on documents and means of communication. |
Readings |
Read the Simpson first. |
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