LibGuides: EDR-8201 v5: Week 6 Resources

Week 6 Resources

teacher’data.sav
You will use this data file in this week’s assignment.

Stats I Week 6 Chi Square Part 1 of 1
Booker-Zorigan, B. (2021, July 18). Stats I Week 6 Chi Square Part 1 of 1 [Video]. Kaltura.
Stats I Week 6 Regression Part 1 of 2
Booker-Zorigan, B. (2021, July 18). Stats I Week 6 Regression Part 1 of 2 [Video]. Kaltura.
Stats I Week 6 Regression Part 2 of 2
Booker-Zorigan, B. (2021, July 18). Stats I Week 6 Regression Part 2 of 2 [Video]. Kaltura.
Stats I Week 6 Correlation Part 1 of 2
Booker-Zorigan, B. (2021, July 18). Stats I Week 6 Correlation Part 1 of 2 [Video]. Kaltura.
Stats I Week 6 Correlation Part 2 of 2
Booker-Zorigan, B. (2021, July 18). Stats I Week 6 Correlation Part 2 of 2 [Video]. Kaltura.

Lots of videos! But – each of these will walk you through a different part of the weeks work, from Chi Square to regression and correlation.

Academic Success Center (ASC). (2020). Hypothesis. Northcentral University.
This page from the ASC Statistical Resources uses video and text to reinforce your understanding of hypotheses.
Academic Success Center (ASC). (2020). Hypothesis testing. Northcentral University.
This page from the ASC Statistical Resources uses video and text to reinforce your understanding of hypothesis testing.
Chi-square test
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.
Pearson correlation coefficient
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.
Significance
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.
Alpha level.
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.
p Value
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.
Scatterplots.
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.
Spearman correlation coefficient.
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.
Pearson correlation
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.
Simple linear regression
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.
Single sample binomial and chi-square tests: binary categories
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.
Spearman Rho and Kendall Tau – B rank order correlations
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.
Simple linear regression.
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.
R².
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.
Categorical data analysis
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.

Supplemental Resources

Academic Success Center (ASC). (2020). Statistics resources. Northcentral University.
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.
Presenting Statistics in Text
This page from the ASC offers support on how to use appropriately the different elements of statistics within text that you write.