Statistical Analysis of Survey Data

Survey research collects data on respondents perception on issues of concern or interest. Statistical analysis of survey data is thus an important tool in the summarization, manipulation and interpretation of quantitative data to discover its underlying causes, trends and relationships. Statistical procedures falls into three general categories: descriptive (portray individuals or events in terms of predefined characteristics), associative (identify meaningful interrelationships between and among data) and inferential assess the characteristics of a sample in order to make more general statements about the parent population or about the relationship between various samples or populations). This book focuses on the following aspect of the surveys: . Description of survey design. . Sampling procedure and the calculation of the sample size . Interpretation of cross tabulations . Issues concerning model selection and fitting as well as the evaluation of model fitting is discussed. Thus detail discussion of procedures and well articulated analysis makes this book an ideal reference to anyone conducting surveys.