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Using G*Power to Determine Sample Size
 
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Using G*Power to Determine Sample Size
Views: 42008 Dr. Ubirathan Miranda
Calculating statistical power using G*Power (a priori & post hoc)
 
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This video explains how to calculate a priori and post hoc power calculations for correlations and t-tests using G*Power. G*Power download: http://www.gpower.hhu.de/en.html Howell reference: Howell, D. C. (2012). Statistical methods for psychology. Cengage Learning.
Views: 22227 Social Science Club
Power Analysis - Pearson r Correlation Coefficient Using G Power
 
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This video illustrates how to calculate power for a Pearson correlation coefficient. We look at the sample size required to get a desired power level (.80 is generally recommended) for for different values of Pearson r. G Power
Calculating T-Test Sample Sizes (with G*Power) | Statistics eLearning
 
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How to calculate sample sizes for t-tests (independent and paired samples) Download G*Power here: http://www.gpower.hhu.de/en.html Like, Comment, and Subscribe for more content like this
PSY 294: G*Power tutorial (t-tests)
 
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Examples for conducting a priori and post hoc power analyses in G*Power for paired-samples and independent-samples t-tests.
Views: 45377 miamipsych293
Power Analysis Using G*Power Software: An Applied Guide
 
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A central concern in social science research is statistical power, or the ability of a given analysis to reliably detect the presence or absence of any effect(s). Without enough participants, an effect may in fact exist, but the researcher may be unable to detect it and falsely conclude that it does not exist. Conversely, with too many participants, clinically insignificant effects may reach statistical significance. Using examples, this presentation focuses on how to use G*Power software to determine how many participants are needed to reliably detect—or safely reject—the existence of effects in the real world. Attendees should download G*Power at this site before joining the meeting: http://www.gpower.hhu.de/en.html Chicago School students can download the presentation slides here: https://tcsedsystem-my.sharepoint.com/personal/kglazek_thechicagoschool_edu/_layouts/15/guestaccess.aspx?guestaccesstoken=q6HTQO94Nfd%2bON2JM1Wdbpa76j8f2XtTMrVuHNgZdXQ%3d&docid=2_1c127379ce4ed4998a93aea43d440e737&rev=1
Introduction to Side-Channel Power Analysis (SCA, DPA)
 
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A complete introduction to side channel power analysis (also called differential power analysis). This is part of training available that will be available at http://www.ChipWhisperer.io shortly - also in person at Blackhat USA 2016 (see https://www.blackhat.com/us-16/).
Views: 13366 Colin O'Flynn
Power Analysis
 
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This lecture discusses utilizing power analysis in experimental design.
Views: 4589 Matthew Novak
#3 Power Analysis and Sample Size Decisions
 
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Who: Dr. Daniël Lakens Assistant Professor of Psychology Eindhoven University of Technology Questions: - What is "power"? - Why is it important to consider power and sample size before designing a study? - What effect does a lack of consideration of power and sample size have on knowledge in the field?
Power for Repeated Measures ANOVAs in G*Power
 
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This video will introduce how to calculate power for repeated measures ANOVAs using the program G*Power. Specifically, what options to choose when inputting a partial eta squared. Part 2 is still in progress. We hope to have Part 2 shared in the near future. All materials shown in the video, as well as content from our other videos, can be found here: https://osf.io/7gqsi/
how to determine sample size through power analysis
 
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This video describes how you can use an online calculator to figure out how big your cell sizes should be for an experiment. The video uses SPSS to help determine the mean & standard deviation for your dependent variables. The online calculator completes the power analysis to show required cell size. The calculator used in this video is: https://www.statisticalsolutions.net/pssZtest_calc.php
Views: 1751 Kathleen Sweetser
Power Analysis
 
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Short presentation on power analysis
Views: 1313 Romaine Johnson
Free Power Analysis Software -  GPower
 
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This video shows how to download a GPower, a free power analysis software program. To see how to use G Power for Pearson r, click here: https://youtu.be/JCzh5jqMKO0
Power analysis
 
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Running power analyses in GPower
Views: 4357 Nikos Ntoumanis
power analysis with GPower
 
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How to do a priori sample size determination and post hoc power analysis with GPower
Views: 8586 TJ Murphy
Post-hoc power analysis in SmartPLS and AMOS
 
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In this video I explain and demonstrate how to do a post-hoc power analysis in SmartPLS and AMOS. I now have an article published that cites this video. Paul Benjamin Lowry and James Gaskin (2014). "Partial least squares (PLS)structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it," IEEE Transactions on Professional Communication (57:2), pp. 123-146. http://www.kolobkreations.com/PLSIEEETPC2014.pdf
Views: 7307 James Gaskin
Power & Effect Size
 
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Recorded with http://screencast-o-matic.com
Views: 39588 Courtney Vidacovich
Intro to Power in R
 
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This video will introduce how to calculate statistical power in R using the pwr package. All materials shown in the video, as well as content from our other videos, can be found here: https://osf.io/7gqsi/
GPower F-test: Repeated Measures, within-between interaction for ANOVA.
 
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Use GPower to compute power and sample size for a within-between interaction in ANOVA. For more power and sample size tutorials in GPower, visit http://www.mormonsandscience.com/gpower-guide.html
Views: 12159 Dave C
What is statistical power
 
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This video is the first in a series of videos related to the basics of power analyses. All materials shown in the video, as well as content from the other videos in the power analysis series can be found here: https://osf.io/a4xhr/
Calculating Power and Probability of Type II Error (Beta) Value in SPSS
 
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This video demonstrates how to calculate power and the probability of Type II error (beta error) in SPSS. Observed power and its relationship to beta error probability are reviewed.
Views: 21712 Dr. Todd Grande
oneway anova in Gpower
 
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This screencast demonstrates how to work out sample size in G*Power for a ONEWAY ANOVA based on guestimates of treatment averages and standard deviation.
Views: 13659 Michael Parkinson
How to: Power Analysis for a Within-Group Design using G*Power
 
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Learn what a power analysis is and how to run one using G*Power Download G*Power: http://www.gpower.hhu.de/en.html For questions: [email protected]
Views: 1645 The Psychology Series
Statistical POWER and Power Analysis
 
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This video covers the types of errors you can commit when making conclusions about populations based on sample data (Type I and Type II errors), p-values, statistical power, and power analysis. To see an example of a power analysis for a study for which the data are analyzed using a two-sample t-test, check out my blog: https://www.biostatisticsbydesign.com/blog/2019/1/11/power-analysis-an-underutilized-tool If you'd like to contact me for a statistics consultation, fill out a request form here: https://www.biostatisticsbydesign.com/request-a-consultation/ Visit my website https://www.biostatisticsbydesign.com
How to: Power Analysis for a Between-Group Design using G*Power
 
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Learn what a power analysis is and how to run one using G*Power Download G*Power: http://www.gpower.hhu.de/en.html For questions: [email protected]
Power and Sample Size Calculation
 
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Power and Sample Size Calculation Motivation and Concepts of Power/Sample Calculation, Calculating Power and Sample Size Using Formula, Software, and Power Chart
Views: 13517 Kunchok Dorjee
Mixed Anova Gpower
 
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Mixed Anova Gpower Refrences: Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. Download PDF Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149-1160. Download PDF
Views: 11780 Christian Higton
Power analysis with G*Power: A priori power analysis for Pearson's correlation
 
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This short video demonstrates how to use the G*Power program (download at http://www.gpower.hhu.de/) to estimate the required sample size needed for carrying out Pearson's correlation. Additional materials: https://drive.google.com/open?id=19hxw9t3iEkh7HB8rwgCH_F9JhOC5bvAA
Views: 73 Mike Crowson
A conceptual introduction to power and sample size calculations using Stata®
 
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Learn the basic concepts of power and sample size calculations. With definitions for alpha levels and statistical power and effect size, a brief look at Stata's interface, and strategies for increasing statistical power, this video is a useful introduction for all subsequent power and sample size videos on the Stata Youtube Channel. Created using Stata 13; new features available in Stata 14. Copyright 2011-2017 StataCorp LLC. All rights reserved.
Views: 60634 StataCorp LLC
Sample size calculation for logistic regression when the independent variable is binary
 
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Sample size calculation for logistic regression when the independent variable is binary. The calculation is made using the free software G*Power and an example where the independent variable is gender. The dependent variable is if the patient got an antibiotic prescription or not. More information about sample size calculations is found at: http://science-network.tv/sample-size-estimation/
Views: 18195 Science Network TV
Gpower One Way ANOVA
 
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Views: 4482 Arthur Bangert
Power and Sample Size Calculations for Survival Analysis - Webinar
 
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Power and Sample Size Calculations for Survival Analysis In this webinar you will learn about: Why Survival Analysis planning requires a different approach: - Time-to-event is an important primary endpoint in phase III oncology clinical trials, we examine what to consider when planning your study Overcoming challenges of Survival Analysis calculations: - See how to treat power calculations (# of events) and sample size calculations (# subjects) to avoid any errors Pairing study design with your Sample Size & Power calculation: - Through worked examples we deal with topics such as Censoring, Simulation, Group Sequential Designs, the Log-Rank test, Cox’s Proportional Hazards model and more - Alternatives to calculating in R: We present a streamlined alternative to using R for planning a survival analysis ---- Looking for more Sample Size Resources? ---- Read our quick start at: https://www.statsols.com/how-to-use-a-sample-size-calculator To see whitepapers, blogs and further content visit our Sample Size Resource Center: https://www.statsols.com/sample-size-resources Hashtags to help you find this video: #samplesize, #samplesizecalculator, #samplesizesoftware, #poweranalysissoftware, #statisticalsignificancecalculator, #samplesizeprocedures, #samplesizecalculation, #effectsizecalculator, #poweranalysiscalculator, #statisticalpower, #samplesizedetermination, #hypothesistestingcalculator, #confidenceintervalcalculator, #samplesizeandpowercalculator, #clinicaltrials
Power analysis with G*power for one-way ANOVA
 
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In this video, I discuss how to carry out a priori power analysis using the G*power program (http://www.gpower.hhu.de/) with one-way ANOVA. Feel free to download the Powerpoint here: https://drive.google.com/open?id=1i2OtnR25srk3gmKKx0xZ0J-mAp6Dz87p
Views: 35 Mike Crowson
GPower F-test: Fixed effects, main effects, and interactions in ANOVA
 
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Use GPower to compute power and sample size for a 2-way ANOVA. This procedure computes power for either main effects or interactions. For more GPower and sample size tutorials, visit http://www.mormonsandscience.com/gpower-guide.html
Views: 9084 Dave C
GPower F-test: Repeated Measures, within factors for ANOVA
 
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Use GPower to find power and sample size for a within subjects factor in a repeated measures ANOVA. For more power and sample size tutorials, visit http://www.mormonsandscience.com/gpower-guide.html
Views: 9511 Dave C
StatsChat: G*Power with Dr. Zin Htway. Calculating required sample size multiple linear regression.
 
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In this edition of StatsChat, Dr. Zin Htway will show you how to calculate required sample size using multiple linear regression.
SEM Series (2016) 11. Post-hoc Statistical Power
 
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Post-hoc power analysis calculator
Views: 6134 James Gaskin
Per Unit Analysis | Per Unit System | Power System Analysis
 
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Views: 49257 GATE ACADEMY
How to Use SPSS: Estimating Appropriate Sample Size
 
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Using SPSS Sample Power 3, G*Power and web-based calculators to estimate appropriate sample size. G*Power Download site: http:--www.psycho.uni-duesseldorf.de-abteilungen-aap-gpower3-download-and-register Web-Based Calculators: http:--danielsoper.com-statcalc3-default.aspx (scroll down to menu labelled -Sample Size-
GPower Chi-Square -  Goodness of Fit tests
 
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Use GPower to find power and sample size for a Chi-Square Goodness of Fit test. For more power and sample size tutorials visit http://www.mormonsandscience.com/gpower-guide.html
Views: 6153 Dave C
CW305: Power Analysis Attack against FPGA Implementation of AES-128
 
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See https://wiki.newae.com/Tutorial_CW305-2_Breaking_AES_on_FPGA for full details.
Preview: Power analysis for cluster randomized designs and linear regression in Stata 15
 
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Stata now offers power and sample-size analysis for linear regression and for cluster randomized designs (CRD). You can now use one of the three new methods of the existing -power- command -- -oneslope-, -rsquared-, or -pcorr- -- to compute one of power, sample size, or effect size for a test of coefficients in a simple or multiple linear regression. You can also adjust for clustering or account for a cluster randomized design using the new -cluster- option in some of the existing -power- methods. Finally, you can add your own methods to -power-! This video briefly describes the new power and sample-size features and demonstrates a point-and-click interface for one of the examples. See more at http://www.stata.com/new-in-stata/power-analysis-for-cluster-randomized-designs/. http://www.stata.com/new-in-stata/power-analysis-for-linear-regression-models/. Copyright 2017 StataCorp LLC. All rights reserved.
Views: 3079 StataCorp LLC
Correlation Power Analysis (CPA) on AES Algorithm
 
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Experimental Setup the AES-128 algorithm in FPGA (Sakura-X) and it's power analysis attack. Download the AES Verilog code: http://satoh.cs.uec.ac.jp/SAKURA/hardware/SAKURA-X.html
Views: 770 Ali Akbar
Differential Power Analysis (DPA) with the OpenADC Targetting an AVR
 
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See http://www.newae.com/openadc . Full documentation forthcoming.
Views: 3691 Colin O'Flynn