Between-subjects database designs are structured around grouping variables. http://www.scalelive.com/between-subjects-database.html #database #statistics 

Retrospective cohort designs help researchers establish relative risk and longitudinal effects. http://www.scalelive.com/retrospective-cohort.html #research 

Validate your statistical findings using the bootstrap method. http://www.scalelive.com/bootstrap.html #statistics #bootstrap #spss 

Cronbach's alpha is an internal consistency measure of reliability used for Likert-type response sets. http://www.scalelive.com/cronbachs-alpha.html #psychometrics #reliability

Compare two observations of an ordinal outcome across time or within-subjects. http://www.scalelive.com/wilcoxon.html

Descriptive statistics are used to describe samples and give context to inferential statistics http://www.scalelive.com/descriptive-statistics.html #statistics 

Curriculum vitae for R. Eric Heidel, Ph.D, Owner and Operator of Scalë, LLC and Research Engineer. http://www.scalelive.com/statistical-forum/curriculum-vitae-for-eric-heidel-phd-owner-and-operator-of-scale-llc-and-research-engineer

Intention-to-treat analysis is a necessary part of any randomized controlled trial. Intention-to-treat analysis means that all participants are analyzed in the groups that they were originally assigned to at the beginning of a trial (using random assignment), regardless of attrition or loss to follow-up. http://www.scalelive.com/intention-to-treat.html

Multiple regression is used to predict for continuous outcomes. http://www.scalelive.com/multiple-regression.html

Within-subjects designs increase statistical power because each participant serves as their own control. http://www.scalelive.com/statistical-power-and-within-subjects-designs.html #research

In order to conduct an a priori sample size calculation for a repeated-measures t-test, researchers have to hypothesize how much of a difference will exist between the pre/baseline observation and the post-observation as a result of treatment. The absolute difference between observations of means and standard deviations and proportions is the effect effect size. Researchers should seek out evidenced-based measure of effect from a published article that is theoretically, conceptually, or pathophysiologically similar. This adds internal validity to the study and is preferable to just "throwing" numbers around regarding sample size. The methods for conducting and interpreting an a priori sample size calculation for repeated-measures t-test in G*Power. http://www.scalelive.com/sample-size-for-repeated-measures-t-test.html 

Access the methods for conducting and interpreting 10 forms of regression in SPSS, including logistic regression, multinomial logistic regression, proportional odds regression, multiple regression, Poisson regression, negative binomial regression, simultaneous regression, stepwise regression, and hierarchical regression. www.scalelive.com/regression.html #statistics #spss

The nonequivalent control group design is a type of quasi-experimental design where groups are randomly assigned at the level of treatment to reduce confounding. http://www.scalelive.com/nonequivalent-control-group-design.html

The PICO mnemonic is used to write valid and answerable research questions. PICO stands for population, intervention, comparator, and outcome. PICO helps researchers to operationalize and define important parts of a research study. http://www.scalelive.com/pico.html

The magnitude of an effect size effects the sample size needed to have adequate statistical power. http://www.scalelive.com/statistical-power-and-effect-size.html #statistics

Predictive validity is the ability of a measure to predict for future occurrences. Predictive validity is established using correlations and regression. http://www.scalelive.com/predictive-validity.html

Absolute risk reduction is used to understand the magnitude of an efficacious treatment effect. http://www.scalelive.com/absolute-risk-reduction.html#epidemiology

Reliability is the consistency, precision, and stability of outcomes and measures. http://www.scalelive.com/reliability.html

The FINER and PICO mnemonics are used to write valid and answerable research questions. http://www.scalelive.com/statistical-forum/finer-and-pico #research

Odds ratios with 95% confidence intervals are used as a measure of association between two categorical variables. Odds ratios are also reported and interpreted in logistic regression, multinomial logistic regression, and proportional odds regression. Finally, odds ratios are used alongside measures of prevalence in epidemiological studies. http://www.scalelive.com/odds-ratio.html

Structure a database to run all kinds of statistical tests in SPSS. http://www.scalelive.com/multivariate-database.html

Multivariate statistics can help answer complex research questions. http://www.scalelive.com/multivariate-statistics.html #research #statistics #spss #researchengineer