Metodi statistici per la valutazione dei servizi turistici
a) SERVQUAL
Zeithaml, Parasuraman and Berry (1990 or others) , Delivering Quality Service - Balancing Customer Perceptions and Expectations, The Free Press, New York, chapters 1, 2, Appendix A.
b) LOGISTIC REGRESSION
Agresti A. (2007) An Introduction to Categorical Data Analysis, John Wiley & Sons,
- Chap. 3 Generalized linear model, pag. 70-72
- Chap. 4 Logistic regression, pag. 99-106;110-113; 115-121
- Chap. 5 Building and Applying Logistic regression Models, pag.137-139; 141-143; 144-152;
- Chap. 6 Multicategory Logit Models, pag. 173-187
c) PRINCIPAL COMPONENT ANALYSIS
Bartholomew D.J., Steele F., Moustaki I., Galbraith J.I., Analysis of Multivariate social science data, CRC Press (Second Edition), Chap 5
d) ITEM ANALYSIS
- Scaling for attitudes
- Reliability of a test
Statistica dell’ambiente Fisico-Sociale
Agresti A., Finlay B. “Statistical Methods for the Social Sciences” Pearson International Edition (fourth Edition)
1) Ch1: Introduction (pag. 1-7)
- Introduction to Statistical Methodology
- Descriptive Statistics and Inferential Statistics
- The Role of Computers In statistics
2) Ch2: Sampling and Measurement (pag. 11-21)
- Variables and their measurement
- Randomization
- Sampling Variability and Potential Bias
3) Ch 3: Descriptive Statistics (pag. 31-59)
- Describing Data with Tables and Graphs
- Describing the Center of the Data
- Describing Variability of the Data
- Measures of Position
- Bivariate Descriptive Statistics
- Sample Statistics and Population Parameters
4) Ch8: Analyzing Association between Categorical Variables (pag. 221-239)
- Contingency tables
- Chi-Squared Test of Independence
- Residuals: Detecting the Pattern of Association
- Measuring Association In Contingency Tables
5) Ch9: Linear regression and correlation (pag.255-283)
- Linear Relationships
- Least Squares Prediction Equation
- The Linear Regression Model
- Measuring Linear Association: the Correlation
- Inference for the Slope and Correlation
6) Ch10: Introduction to multivariate relationship (pag. 301-313)
- Association and Causality
- Controlling for Other Variables
- Types of Multivariate Relationships
7) Ch11: Multiple Regression and Correlation (pag. 321-340;345-355)
- The Multiple Regression Model
- Example with Multiple Regression Computer Output
- Multiple Correlation and R2
- Inference for Multiple Regression Coefficients
- Comparing Regression Models
- Partial Correlation
- Standardized Regression Coefficients
8) Combining Regression and ANOVA: Quantitative and Categorical Predictors (pag. 416-419)
- Regression with Quantitative and Categorical Predictors