Crossover Randomized Designs Are Very Powerful Experimental Designs

Crossover randomized designs allow study participants to be observed after receiving both treatment and control treatment using "washout" periods. http://www.scalelive.com/crossover-randomized-design.html #research #science #tutorial

Selecting the Comparator or Control Using the PICO Framework

Establish the comparator or control group with the PICO framework when writing a research question. http://www.scalelive.com/comparator.html
#research #question #tutorial #pico

Use Propensity Score Matching in SPSS

Use propensity score matching to choose valid control participants and account for confounding variables. http://www.scalelive.com/propensity-score-matching.html
#statistics #research #science #tutorial

Generate Split-Half Reliability Evidence For A Survey Instrument

Conduct and interpret split-half reliability in SPSS. http://www.scalelive.com/split-half-reliability.html

 #statistics#psychometrics #reliability #spss #tutorial

Use and Interpret ROC Curves in SPSS

Receiver Operator Characteristic (ROC) curves can assess the sensitivity and specificity of diagnostic tests. http://www.scalelive.com/receiver-operator-characteristic.html #statistics #diagnosis #tutorial

Learn How to Use Cochran's Q in SPSS

Here are the steps for using and interpreting Cochran's Q in SPSS.
http://www.scalelive.com/cochrans-q.html #statistics #spss #tutorial

Statistical Power is Decreased With Between-Subjects Designs

Statistical significance is harder to detect when using between-subjects designs. http://www.scalelive.com/statistical-power-and-between-subjects-designs.html #statistics #research #science #tutorial