Research Engineer

Research Engineer is the world's first online decision engine for research designs, statistical power, statistics, databases, evidence-based medicine, survey design, psychometrics, diagnostic testing, epidemiology, education, and measurement.

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The Intervention in Research Questions and PICO

The intervention or independent variable in a research question should be associated with the outcome. The intervention is a part of the PICO framework.

Include the intervention in your research question using the PICO framework. https://www.scalelive.com/intervention.html #research #PICO #science #tutorial

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Appraising Prognosis Evidence for Patient Similarities, Follow-Up, Temporality, and Precision

When appraising prognosis evidence, there should be a defined sample of patients, sufficient follow-up, adjustment for variables, and validation of findings.

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Small Effect Sizes Decrease Statistical Power and Increase The Needed Sample Size

Small effect sizes decrease statistical power and increase the needed sample size. This is because more observations are needed to detect significance.

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Intention-to-Treat and Randomized Controlled Trials

"Intention-to-Treat" analysis means that all study participants are analyzed in the same group they were randomly assigned to at the beginning of a study.

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Use and Interpret Independent Samples t-tests in SPSS

Independent samples t-test is used to compare two groups on a continuous outcome. SPSS can be used to conduct assumptions and independent samples t-test.

Compare two groups on a continuous outcome using independent samples t-test in SPSS. http://www.scalelive.com/independent-samples-t-test.html

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Hire A Professional Statistician For Your Research Project

Eric Heidel, PhD, is a professional statistician that you can hire to conduct statistical analysis and consult on your research study

Hire an experienced PhD level statistician to conduct your thesis or dissertation statistics. http://www.scalelive.com/

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Small Sample Sizes Decrease Statistical Power and Decrease The Flexibility Of The Effect Size

Small sample sizes decrease statistical power and decrease the flexibility of detecting effect sizes. Small sample sizes often lead to Type II errors.

Small sample sizes decrease statistical power. http://www.scalelive.com/statistical-power-and-small-sample… #statistics #data #research #science #tutorial

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Calculate The Sample Size for Mann-Whitney U

The steps for calculating the sample size for a Mann-Whitney U test in G*Power are presented. The effect size is the difference in means between groups.

Calculate the sample size needed for a Mann-Whitney U test in G*Power. http://www.scalelive.com/sample-size-for-mann-whitney-u.html #statistics #gpower #research #science #tutorial

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Write Ethical Research Questions Using FINER

Ethical research questions are written to protect human beings and animals from unfair or dangerous research methods. Ethical is the fourth part of FINER.

Consider the ethical implications of writing valid research questions with the FINER framework. http://www.scalelive.com/ethical-research-questions.html #research #science #ethics #tutorial #medicine

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Use and Interpret ANOVA in SPSS

ANOVA is used to compare three or more groups on a normal continuous outcome. SPSS can be used to test the statistical assumptions as well as ANOVA.

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Ordinal Outcomes Decrease Statistical Power and Increase The Needed Sample Size

Ordinal outcomes decrease statistical power and increase the needed sample size. This is because ordinal outcomes lack precision and accuracy.

Ordinal outcomes decrease statistical power and increase the needed sample size. http://www.scalelive.com/statistical-power-and-ordinal-outcomes.html

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Calculate Odds Ratio with 95% Confidence Intervals

The odds ratio with 95% confidence interval is used for chi-square and case-control designs. The width of the confidence interval is the primary inference.

Use and interpret odds ratios with 95% confidence intervals. http://www.scalelive.com/odds-ratio.html

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Statistical Power and The Chosen Research Design

Statistical power is affected by research designs. Within-subjects designs increase statistical power, between-subjects and multivariate designs decrease power.

Within-subjects research designs increase statistical power while between-subjects and multivariate designs decrease power. http://www.scalelive.com/statistical-power-and-research-designs.html

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Appraising Randomized Controlled Trial Evidence for Empirical Benchmarks

When appraising random controlled trial evidence, there are certain benchmarks that have to be met: Random selection, random assignment, and intention-to-treat.

Make sure that Randomized Controlled Trial (RCT) evidence is valid and credible. http://www.scalelive.com/appraising-randomized-controlled-t…

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Convenience Sampling means Sampling From Populations That Are Accessible and Available

Convenience sampling is a non-probability sampling method where researchers recruit study participants into a study that are convenient to find and analyze.

Convenience sampling means sampling from populations that are accessible and available to researchers. http://www.scalelive.com/convenience-sampling.html #research #science #statistics #sampling #tutorial

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Prospective Research Designs Are Used With Future Outcomes

Prospective research designs are used when outcomes are collected and analyzed in the future. Prospective designs measures of incidence and relative risk.

Generate measures of incidence and relative risk using prospective research designs. http://www.scalelive.com/prospective-research-designs.html

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Simultaneous Regression Controls for All Variables

Simultaneous regression is used to predict for continuous outcomes when controlling for all pertinent confounding variables and it can be used in SPSS.

Control for confounding variables using simultaneous regression in SPSS. http://www.scalelive.com/simultaneous-regression.html