Essentials of Statistical Analysis (EOSA)

Provides an introduction to the EOSA course. This module also examines the role of statistical analyses within the research process, the importance of planning before conducting a study, random variables, and the levels of scaling.

Recommended Use: Required
ID (Language): 21444 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Explains the difference between a population and a sample, why samples are used instead of entire populations, and different types of sampling procedures.

Recommended Use: Required
ID (Language): 21445 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Describes the importance of central tendency in statistical analyses, different types of central tendency (mean, median, and mode), the importance of variability within the context of data analysis, and when certain measures of central tendency and variability should be used.

Recommended Use: Required
ID (Language): 21446 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Explains plots that help understand the shape of a distribution, how to identify and interpret the skewness of a distribution, statistical tests that check the assumption of normality, and how the normal distribution is used as the basis for many statistical tests.

Recommended Use: Required
ID (Language): 21447 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Examines the properties of the normal distribution, why the normal distribution is used for many statistical analyses, what a z-score is and how to calculate it, and how standard scores are used in clinical and research applications.

Recommended Use: Required
ID (Language): 21448 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Describes skewness and kurtosis, skewness and kurtosis values, and how transformations can be applied to skewed data to better approximate a normal distribution.

Recommended Use: Required
ID (Language): 21449 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Defines the concept of standard error, null and alternative hypotheses, and Type I and Type II errors.

Recommended Use: Required
ID (Language): 21450 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Explains how significance level, sample size, standard deviation, and statistical power determine the results of statistical tests. The module also explains how effect size, standard deviation, and statistical power are used to calculate the necessary sample size for a study.

Recommended Use: Required
ID (Language): 21451 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Describes how confidence intervals are used to assess the precision of an estimate, the mechanics of how confidence intervals are derived, and degrees of freedom.

Recommended Use: Required
ID (Language): 21452 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Explains how correlations are used to assess associations between two continuous or rank-order variables, how to interpret the direction and strength of correlation values, and the Pearson and Spearman correlations.

Recommended Use: Required
ID (Language): 21453 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Discusses how linear regression is used to make predictions, what residual values are and why they are important, how model fit is assessed, and how to distinguish between confidence intervals and confidence bands.

Recommended Use: Required
ID (Language): 21454 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Describes how multiple linear regression differs from simple linear regression, how variables in a regression model serve as covariates, how covariates are selected to be included in a regression model, and how to use and interpret model fit statistics to determine if the addition of variables to a model improves its predictive power.

Recommended Use: Required
ID (Language): 21455 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Identifies the differences between the one-sample, two-sample, and paired-samples t-tests. The module also describes the different research study designs in which each of the t-tests are used and how to correctly interpret Cohen’s d effect size values.

Recommended Use: Required
ID (Language): 21456 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Identifies the differences between the one-way, two-way, and repeated measures ANOVA. The module also examines when each ANOVA should be used based on the study design and the partial eta-squared effect size used for ANOVAs.

Recommended Use: Required
ID (Language): 21457 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Examines non-parametric tests and situations in which non-parametric tests should be used to analyze data.

Recommended Use: Required
ID (Language): 21458 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Describes the chi-square test, the McNemar test, relative risk and the odds ratio, the number needed to treat, and the kappa statistic.

Recommended Use: Required
ID (Language): 21459 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute

Explains sensitivity and specificity, positive and negative predictive values, and area under the curve.

Recommended Use: Required
ID (Language): 21460 (English)
Author(s): Michael Malek-Ahmadi, PhD - Banner Alzheimer’s Institute