Mathematical problems in the Biological sciences by Sol I Rubinow

By Sol I Rubinow

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Example text

Recall that a codebook is an index to your coding system.

248 How Do I Determine the Appropriate Number of Subjects and Predictor Variables? 250 What Are Stepwise and Hierarchical Multiple Regression Procedures and When Should I Use Each? 252 A Detailed Example: The Effect of Age and Education on Income 257 What Are Regression Coefficients and How Do I Interpret Them? 262 How Do I Interpret Bivariate Correlation Coefficients? 263 How Do I Interpret Multiple Correlations? 265 What Are Unstandardized and Standardized Regression Coefficients? 267 How Do I Interpret an Interaction Effect?

This chapter presents a framework for coding data and then entering it appropriately into the computer for analysis. Chapter 2 deals with the first steps in statistical analysis, particularly with the visual presentation of univariate (one variable) and bivariate (two variables) data. Statistics can obscure the results of a research study as easily as they can reveal the meaning of the data. Consequently, it is generally a good idea to begin with an exploratory approach to fully understand the characteristics of your data.

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