# MB 876 Spring 2007 Schedule

Legend

Assignments are due on the day they are listed (except for the very first class -- those readings should be read immediately after class). All items subject to change without notice. Please check the schedule frequently. Before printing articles, try reading them online. Is all that ink and toner really necessary?

Most of the links for journal articles require you to be logged in via your BC id in order to recognize you as legitimate members of the community. Click here for more information. The notation "LCG" is used to refer to the Lattin, Carroll and Green  text book. For example, "LCG 1,2" refers to chapters 1 and 2 of that book.

### Shortcuts

 16-Jan Vectors 23-Jan Matrices 30-Jan More matrices 6-Feb Measurement & Similarity 13-Feb Visualizing proximities 20-Feb ProFit & QAP 27-Feb Factor Analysis 1 6-Mar Spring Break (no class) 13-Mar Factor Analysis 2 20-Mar Consensus analysis 27-Mar Cluster analysis 3-Apr Cluster analysis 10-Apr Correspondence analysis 17-Apr Presentations

### 16 Jan.  Vectors

 Covered in class: Course overview Introduction to vectors Linear regression Preview of similarity measures Vector problem set Reading: LCG 1,2,3 Notes on vectors Data:

### 23 Jan.  Matrices

 Covered in class: Matrix notation and terminology Ways and modes Profile and proximity matrices Operations on matrices Lecture plan:  matrices Data: Reading:

### 30 Jan.  More Matrices

 In class: Working with Excel and UCINET Matrix inverses, transposes, and products Boolean matrix algebra Lecture plan: More Matrices Reading: [optional] First four chapters of Kaw, Autar 2002. Introduction to Matrix Algebra. [pdf] Data:

### 6 Feb  Measurement Theory & Similarity Measures

 Covered in class: Introduction to measurement theory levels of measurement Measures of similarity between variables/cases Measurement and Similarities lecture plan Homework due: Quiz on vectors and matrices Reading: LCG 3 Cronbach, L. J., & Gleser, G. C. (1953). Assessing the similarity between profiles. Psychological Bulletin, 50, 456-473 [PDF] Zegers, F. E., & ten Berge, J. M. F. (1985). A family of association coefficients for metric scales. Psychometrika, 50(1), 17-24 [PDF] Introduction to measurement theory Essay on distance and correlation notes on measurement notes on similarity measures Optional: Robinson, W.S. 1953. The Statistical Measurement of Agreement. American Sociological Review 22(1): 17-25 [pdf] Data:

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### 13 Feb. Visualizing Proximities

 In class: Multidimensional scaling (MDS) Network representations of proximity data Property Fitting (PROFIT) MDS lecture plan Reading: LCG 7 Kruskal and Wish. Multidimensional Scaling. Handout: MDS Skim Weller and Romney. Metric Scaling. DeJordy, Borgatti, Roussin and Halgin. Visualizing Proximity Data. Field Methods.[pdf][doc] Due: Email everyone in the class two things: (a) One paragraph description of your research project, for my approval. (You may run this by ahead of time if you want to get started earlier in the semester), (b) Some data that we can MDS in class. Be sure to test it out first to ensure that it is doable and interesting. Data:

### 20 Feb. PROFIT & QAP

 In class: PROperty FITting (PROFIT) Correlating proximity matrices via QAP Reading: Borgatti. Property Fitting. [html] Weller. 1984. Cross-Cultural Concepts of Illness: Variation and Validation. American Anthropologist, Vol. 86, No. 2. (Jun., 1984), pp. 341-351 [^pdf] Borgatti, S. and Feld, S. 1994. How to test the strength of weak ties theory. [html] Testing network hypotheses [pdf] {just look at material on permutation tests and QAP} Borgatti, S.P. and Cross, R. 2003. A Relational View of Information Seeking and Learning in Social Networks. Management Science. 49(4): 432-445.[pdf] PROFIT [pdf] Optional: Methods: Smouse, Peter E., Jeffery C. Long, and Robert R. Sokal (1986), "Multiple Regression and Correlation Extensions of the Mantel Test of Matrix Correspondence," Systematic Zoology, 35 (4), 627-32. Krackhardt, D. 1988. "Predicting with networks: Nonparametric multiple regression analysis of dyadic data." Social Networks. 10:359-381. [pdf] Baker, F. and Hubert, L. 1981. The analysis of social interaction data. Sociological Methods & Research 9(3): 339-361. Hubert, L. & Schultz, L. 1976. Quadratic assignment as a general data analysis strategy. British Journal of Mathematical & Statistical Psychology 29:190-241. Applications: Barley, S. 1990. The alignment of technology and structure through roles and networks. Administrative Science Quarterly 35: 61-103. Burkhardt, M. 1994. Social interaction effects following a technological change: A longitudinal investigation. Academy of Management Journal 37(4): 869-898. Boster, J. 1986. Exchange of Varieties and Information between Aguaruna manioc cultivators. American Anthropologist 88:428-436. [^pdf]

### 27 Feb.  Factor Analysis

 In class: Overview of factor analysis methodology Principal components Eigenvectors and eigenvalues Principal component analysis and common factor analysis Loadings & scores Communalities Rotation Reading: LCG 4 Weller & Romney. Metric Scaling. Notes on eigenstructures and factor analysis Data: Music data (From GSS 1985). File is missing row labels so be careful when importing into UCINET. data/meansmedians.xls data/financialresources.xls

### 6 Mar.  Spring Break

 In class: No class

### 13 Mar.  Factor Analysis II

 In class: Common factor analysis Scale Construction Reading: LCG 4 Building an additive scale [html] Scales and Indices [html] Due: Email everyone in the class some data that we can factor analyze. Note: you should test this out yourself first and make sure it's doable and interesting. Optional: Green. Tools for Multivariate Analysis.

### 20 Mar. Consensus Analysis

 In class: Consensus analysis - theory and method Measuring knowledge Reading: Borgatti and Carboni. Measuring knowledge. [doc] Consensus analysis Romney, A. Kimball,. Susan C. Weller and William H. Batchelder. 1986. Culture as Consensus: A Theory of Culture and Informant Accuracy. American Anthropologist 88:313 338 [^pdf] Jaskyte, Kristina and William W. Dressler. (2004)  Studying culture as an integral aggregate variable: organizational culture and innovation in a group of nonprofit organizations.  Field Methods, Vol. 16, No. 3, 265-284 [^PDF] Data:

### 27 Mar. Cluster Analysis I

 In class: Intro to cluster analysis Johnson's hierarchical cluster analysis Reading: Homework due:

### 3 Apr.  Cluster Analysis 2

 In class: Combinatorial optimization Reading: LCG 5 LCG 6 {skim} K-means write-up Handouts: Optional:

### 10 Apr.  Correspondence Analysis

 In class: Correspondence analysis Singular value decomposition 2-mode scaling pls bring data to class so we can run Correspondence Analysis together. best data for correspondence analysis are frequencies -- as in a cross-tab. Reading: Weller & Romney. Metric Scaling. StatSoft. "Correspondence Analysis" [html] Handouts: Optional: Douglas Carroll, Paul Green & Catherine Shaefer. 1987. "Comparing Interpoint Distances in Correspondence Analysis: A Classification," with J.Douglas Carroll and Paul E. Green, Journal of Marketing Research, 24 (November),1987, 445-450.[skim] Greenacre, M.J. (1989). The Carroll-Green-Schaffer scaling in correspondence analysis: A theoretical and empirical appraisal. Journal of Marketing Research, 26, 358-365. Greenacre, M.J. & Hastie, T. (1987). The geometric interpretation of correspondence analysis. Journal of the American Statistical Association, 82, 437-447. Due: pls bring data to class so we can run Correspondence Analysis together. Best data for correspondence analysis are 2-mode frequencies -- as in a cross-tab of two variables.

### 17 Apr.  Wrap-Up.  (Extra long class)

 In class: Wrap-Up In-class presentations Due: Final report (due 24 Apr via email; please cc everyone in the class on this email) Optional:

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