What does bivariate correlational analysis do Select all that apply a Provides

# What does bivariate correlational analysis do select

This preview shows page 32 - 34 out of 49 pages.

3.What does bivariate correlational analysis do? (Select all that apply.) a. Provides an idea of which variable causes the other one b . Reflects a two-way connection or pattern c. Measures the strength of multiple relationships connected with a concept d . Measures the strength of the relationship between two variables e. Determines the direction of the relationship between two variables ANS: B, D, E Bivariate correlational analysis measures the magnitude of linear relationship between two, and only two, variables and is performed on data collected from a single sample. Correlational analysis provides two pieces of information about the data: the nature or direction of the linear relationship (positive or negative) between the two variables and the magnitude (or strength) of the linear relationship. DIF: Cognitive Level: Comprehension REF: Page 560 4.What is the connection between a scatter plot and a calculation of correlation? (Select all that apply.)
a. Constructing a scatter plot allows the researcher to visualize in advance whether a calculation of linear correlation is likely to reveal a relationship between the variables. b . Constructing a scatter plot produces a correlation coefficient, as does calculating correlation. c. A calculation of correlation should be performed before constructing a scatter plot, because the calculation is more scientific. d . The scatter plot provides a visual representation of the connection between two variables; a correlational calculation provides a quantification of the connection between the same variables. e. Just like calculation of correlation, constructing a scatter plot provides a way to quantify explained variance. ANS: A, D Scatter plots or scatter diagrams provide useful preliminary information about the nature of the relationship between variables. The researcher should develop and examine scatter diagrams before performing correlational analysis. Scatter plots may be useful for selecting appropriate correlational procedures, but most correlational procedures are useful for examining linear relationships only. A scatter plot can easily identify nonlinear relationships; if the data are nonlinear, the researcher should select statistical alternatives such as nonlinear regression analysis. A scatter plot is created by plotting the values of two variables on an x and y axis. DIF: Cognitive Level: Analysis REF: Page 560 5. For which of the following levels of measurement would a parametric statistical test like the Pearson product-moment correlation be used? a. Nominal level b . Ordinal level c. Interval level d . Ratio level e. Dichotomous ANS: C, D The Pearson product-moment correlation coefficient is conducted to determine the relationship between two variables measured at least at the interval level of measurement. Nominal level of measurement is the lowest of the four measurement levels or categories. It is used when data can be organized into categories of a defined property but the categories cannot be ordered. In interval level of measurement, distances between intervals of the scale are numerically equal. However, it is not possible to

#### You've reached the end of your free preview.

Want to read all 49 pages?

• Fall '16
• Denise Cauble
• Nursing, Qualitative Research, researcher, Cognitive Level