Gordon, B. (2018). Chi-square test. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 269-271). SAGE.
This source discusses the instances where the chi-square test is appropriate. It also describes the basic principles and applications of the test.
Gordon, M., & Courtney, R. (2018). Pearson correlation coefficient. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1299-1233). SAGE.
The Pearson correlation is used to examine the linear relationship between two variables. It is a measure that is used when both variables are continuous.
Harlow, L. (2018). Significance. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1514-1516). SAGE.
The author of these pages presents the concept of significance in statistics. Significance indicates the probability of an event (e.g., the difference between two groups) happening by chance—or that true differences exist.
Kim, H. W. (2018). Alpha level. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 65-66). SAGE.
The alpha level is chosen a priori as a level (typically .05) used to reject or not reject the null hypothesis, and this value is compared to p - value obtained from the statistical analysis. This chapter defines and discusses the concepts related to the alpha level.
Kim, H. W. (2018). p Value. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1195-1198). SAGE.
The p - value is the probability value that is used in conjunction with the concept of significance. This chapter discusses the different uses of the p - value.
LeBeau, B. (2018). Scatterplots. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1456-1460). SAGE.
This source presents scatterplots. These are graphical representations that are used in statistics to examine the relationships between variables.
McHugh, M. (2018). Spearman correlation coefficient. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1555-1558). SAGE.
This correlation statistic is used to measure the strength of association between to variables measured in the ordinal level.
Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Pearson correlation (pp. 159 - 164). In Performing data analysis using IBM SPSS. Wiley & Sons.
This source describes the procedures to conduct the Pearson correlation using SPSS. Furthermore, it provides explanations of the different outputs obtained in the analysis.
Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Simple linear regression (pp. 173 - 180). In Performing data analysis using IBM SPSS. Wiley & Sons.
This source describes the procedures to conduct a simple linear regression using SPSS. Furthermore, it provides explanations of the different outputs obtained in the analysis.
Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Single sample binomial and chi-square tests: binary categories (pp. 645 - 654). In Performing data analysis using IBM SPSS. Wiley & Sons.
This source describes the procedures to conduct a chi-square analysis using SPSS. Furthermore, it provides explanations of the different outputs obtained in the analysis.
Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Spearman Rho and Kendall Tau – B rank order correlations (pp. 165 - 170). In Performing data analysis using IBM SPSS. Wiley & Sons.
This source describes the procedures to conduct a Spearman Rho correlation analysis using SPSS. Furthermore, it provides explanations of the different outputs obtained in the analysis.
Lawrence S. Meyers, , Glenn C. Gamst, , and A. J. Guarino. (2013). Simple linear regression. In B. B. Frey (Ed.), Performing Data Analysis Using IBM SPSS (pp. 1517-1519). Wiley.
Simple linear regression is the simplest form of prediction. In this section, you will learn that the correlation analysis is related to a regression analysis. However, correlations are used to examine relationships, while regression analyses are used to for prediction.
Taraday, M., & Wieczorek-Taraday, A. (2018). R2. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1362-1363). SAGE.
This is the coefficient of determination used in a regression analysis. The R2 is used to represent that amount of variance in the dependent variable, which is predicted by the independent variable.
Tomek, S. (2018). Categorical data analysis. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 240-243). SAGE.
This chapter presents the statistical analyses that are used to explore categorical variables. Specifically, it will discuss the chi-square statistic.
This LibGuide includes all of the statistics resources curated by NU's Academic Success Center. Use the headings on the left side of this ASC page to navigate to your particular area of need.
