Description
Using the information provided in the readings, create a chart or summary list of the characteristics of quantitative data analysis (t-test [single sample, independent sample, paired sample], ANOVA, Pearson Correlation, Regression [Multiple, Hierarchical, and Logistic]).
Arrange your table by quantitative data analysis.
Try to create a table or summary list that will be a useful tool for you in the future, especially as it applies to your research study.
Include the following elements in your chart/summary for each quantitative data analysis (4 pages):
• Intent of the analysis
• Types of variables that are included in the analysis
• Statistic symbol
• Procedures to address validity and reliability of findings
• Provide an example application (use a peer-reviewed journal article or provide your own example)
• Resource(s): Locate a resource (book, journal article, or website) that you think is the best reference for the analysis (think about what is useful to you in the future), explain your reasoning.
Research Design
Salkind, Neil J. (Ed.). (2010). Encyclopedia of Research Design. Thousand Oaks, CA: SAGE Publications, Inc.
Levels of Measurement and Forms of Data. (2006). In R. Mark Sirkin (Ed.), Statistics for the Social Sciences. (3rd ed., pp. 33–63). Thousand Oaks, CA: SAGE Publications, Inc.
Validity and Reliability
Hammersley, M. (2008). 4. Assessing Validity in Social Research. In P. Alasuutari, L. Bickman, & J. Brannen (Eds.), The SAGE Handbook of Social Research Methods. (pp. 42–54). London: SAGE Publications Ltd.
Payne, G., & Payne, J. (2004). Reliability. In The SAGE Key Concepts series: Key concepts in social research. (pp. 196–201). London, England: SAGE Publications, Ltd. doi:
T-test
t test for one sample. (2004). In Duncan Cramer, & D. Howitt (Eds.), The SAGE Dictionary of Statistics.(pp. 167–168). London, England: SAGE Publications, Ltd.
t test for unrelated samples. (2004). In Duncan Cramer, & D. Howitt (Eds.), The SAGE Dictionary of Statistics. (p. 168). London, England: SAGE Publications, Ltd.
Leech, N., Onwuegbuzie, A., & Daniel, L. (2007). Paired Samples T Test (Dependent Samples T Test). In Neil J. Salkind, & K. Rasmussen (Eds.), Encyclopedia of Measurement and Statistics. (pp. 724–727). Thousand Oaks, CA: Sage Publications, Inc.
ANOVA
Iversen, G. (2004). Analysis of Variance (ANOVA). In Michael S. Lewis-Beck, A. Bryman, & Tim Futing Liao (Eds.), The SAGE Encyclopedia of Social Science Research Methods. (pp. 13-17). Thousand Oaks, CA: Sage Publications, Inc.
Wright, D. B., & London, K. (2009). 7 Comparing More than Two Groups or More than Two Variables. In First (and Second) Steps in Statistics (2nd ed.). (2nd, pp. 113–136). London: SAGE Publications Ltd.
Pearson Correlation
Bobko, P. (2001). A Review of the correlation coefficient and its properties. In Correlation and Regression.(2nd ed., pp. 12–43). Thousand Oaks, CA: SAGE Publications, Inc.
Pearson’s Correlation Coefficient. (2005). In W. Paul Vogt (Ed.), Dictionary of Statistics & Methodology.(3rd ed., pp. 233–235). Thousand Oaks, CA: SAGE Publications, Inc.
Regression
Wolf, C., & Best, H. (2014). Linear regression. In H. Best, & C. Wolf (Eds.), The SAGE handbook of regression analysis and causal inference. (pp. 57–83). London: SAGE Publications Ltd.
Hox, J., & Wijngaards-de Meij, L. (2014). The multilevel regression model. In H. Best, & C. Wolf (Eds.), The SAGE handbook of regression analysis and causal inference. (pp. 133–153). London: SAGE Publications Ltd.
Best, H., & Wolf, C. (2014). Logistic regression. In H. Best, & C. Wolf (Eds.), The SAGE handbook of regression analysis and causal inference. (pp. 153–173). London: SAGE Publications Ltd.
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