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บรรยาย 23 มิถุนายน 2569

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บรรยาย 23 มิถุนายน 2569

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การวิเคราะห์ข้อมูลด้วยโปรแกรม jamovi ทางวิทยาศาสตร์สุขภาพ

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บรรยาย 16 พฤษภาคม 2568

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บรรยาย 16 พฤษภาคม 2568

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ขับเคลื่อนงานวิจัยภาคอุตสาหกรรม2025 (5)

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บรรยาย 26 มีนาคม 2568

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บรรยาย 26 มีนาคม 2568

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บรรยาย 1 มีนาคม 2568

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บรรยาย 1 มีนาคม 2568

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ประวัติพูลพงศ์สุขสว่าง

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ประวัติพูลพงศ์สุขสว่าง

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เอกสารบรรยาย 15 กุมภาพันธ์ 2568

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เอกสารบรรยาย 15 กุมภาพันธ์ 2568

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เอกสารบรรยาย 27 มกราคม 2568

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เอกสารบรรยาย 27 มกราคม 2568

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R integration

jamovi is built on top of the R statistical language, giving you access to the best the statistics community has to offer. would you like the R code for your analyses? jamovi can provide that too.

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jamovi - open statistical software for the desktop and cloud

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jamovi is built on top of the R statistical language, giving you access to the best the statistics community has to offer. would you like the R code for your analyses? jamovi can provide that too.

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dataฝีกวิเคราะห์

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dataฝีกวิเคราะห์

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1. What is Mixed Methods Research? | John W. Creswell | Mixed Methods @ University of Michigan

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2. What Skills are Needed for Mixed Methods Research? | John W. Creswell |  University of Michigan

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3. Steps in Designing a Mixed Methods Study  | John W. Creswell | University of Michigan

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หนังสือ "โมเดลสมการโครงสร้าง"

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หนังสือ "โมเดลสมการโครงสร้าง"

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4. Basic Mixed Methods Research Designs | John W. Creswell | University of Michigan

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https://www.youtube.com/channel/UCH0Sqfx_yQDQL9Z_qwdOWpA

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Share your videos with friends, family, and the world

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Share your videos with friends, family, and the world

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บทความวิชาการที่ควรอ้างอิง

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บทความวิชาการที่ควรอ้างอิง

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5. Advanced Mixed Methods Research Designs | John W. Creswell | University of Michigan

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คำนวนตัวอย่างขั้นต่ำ

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คำนวนตัวอย่างขั้นต่ำ

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6 How to Draw a Diagram of Your Mixed Methods Procedures | John W. Creswell | University of Michigan

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7. Introducing a Mixed Methods Study | John W. Creswell | University of Michigan

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งานวิจัย ป.เอก

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งานวิจัย ป.เอก

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8. Sampling and Integration | John W. Creswell | Mixed Methods @ University of Michigan

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17 March 2020 - Release 3.1.9.7

Windows

Changed the behavior of the "X-Y plot for a range of values" which allowed plotting graphs after changing input parameters in the main window without hitting the "Calculate" button which, however, is required to update the "X-Y plot for a range of values" with the new input parameters from the main dialog.

21 February 2020 - Release 3.1.9.6

Mac and Windows

Fixed a bug in z tests: Generic z test: Analysis: Criterion: Compute alpha: The critical z was calculated incorrectly.

Fixed a bug in t tests: Linear bivariate regression: One group, size of slope: |sy/sx| was sometimes calculated inccorrecty.

14 January 2020 - Release 3.1.9.5

Mac

Fixed a bug that caused the "Options" button (which is available for some tests in the main window) to disappear when "Hide distributions & control" was selected.

6 February 2019 - Release 3.1.9.4

Mac and Windows

Fixed a bug in t tests: Linear bivariate regression: One group, size of slope. Negative effect directions, that is, slope|H1 < slope|H0, were not always handled correclty. Furthermore, the restriction (|slope| < |sy/sx|) on the effect size, which was previously ignored, is now checked.

7 July 2017 - Release 3.1.9.3

Mac

Fixed a bug that could cause crashes.

28 March 2014 - Release 3.1.9.2

Mac

Fixed a bug in the χ² tests: Goodness-of-fit tests: Contingency tables module which prevented the computed effect size from appearing in the effect size drawer.

Windows

Fixed a bug that could occur under very specific circumstances when transferring an effect size from the effect size drawer to the main window.

10 March 2014 - Release 3.1.9.1

Mac

Now includes the calculator that previously has been included only in the Windows version.

4 February 2014 - Release 3.1.9

Mac and Windows

Fixed a bug in the sign test's sensitivity analysis which led to an offset of -0.5 in the reported effect size.
Changed the behaviour of all tests based on the binomial distribution. The upper and lower limits are now always within the range [0,n] instead of [-1,n+1]. This change may lead to alpha values larger than the requested alpha values, but now we have the advantage that the upper and lower limits correspond to actual decision boundaries. For instance, in a two-sided test H0 is rejected if, for the observed number x of successes, it holds that x <= lower limit or x >= upper limit. Note, however, that the change affects the results only when N is very small.

31 January 2014 - Release 3.1.8

Mac and Windows

Improvements in the logistic regression module: (1) improved numerical stability (in particular for lognormal distributed covariates); (2) additional validity checks for input parameters (this applies also to the poisson regression module); (3) in sensitivity analyses the handling of cases in which the power does not increase monotonically with effect size is improved: an additional Actual power output field has been added; a deviation of this actual power value from the one requested on the input side indicates such cases; it is recommended that you check how the power depends on the effect size in the plot window.

19 April 2013 - Release 3.1.7

Mac and Windows

Fixed a problem in the exact test of Proportions: Inequality, two independent groups (uncontional). The problem only occurred when p1 > p2.

18 Frebruary 2013 - Release 3.1.6

Mac and Windows

Fixed a problem in the sensitivity analysis of the logistic regression. The problem only occurred when p2 >= p1.

Mac

Fixed a problem in Fisher's exact test.

12 September 2012 - Release 3.1.5.1

Mac

Fixed a problem with the effect size drawers of ANOVA: Fixed effects. The drawers now appear correctly after clicking on the Determine button.

20 August 2012 - Release 3.1.5

Mac and Windows

Fixed a problem in the test of equality of two variances. The problem did not occur when both sample sizes were identical.
Fixed a problem in calculating the effect size from variances in the repeated measures ANOVA.

3 July 2012 - Release 3.1.4

Mac and Windows

Added an options dialog to the repeated-measures ANOVA which allows a more flexible specification of effect sizes.
Fixed a problem in calculating the sample size for Fisher's exact test. The problem did not occur with post hoc analyses.

22 June 2011 - Release 3.1.3

Mac and Windows

Fixed a bug in the ANCOVA module. Changing the number of covariates now correctly leads to the appropriate change in the denominator degrees of freedom.

5 January 2010 - Release 3.1.2

Mac and Windows

Renamed the Repetitions parameter in repeated measures procedures to Number of measurements (Repetitions was misleading because it incorrectly suggested that the first measurement would not be counted).
Fixed a problem in the sensitivity analysis of the logistic regression procedure: There was an error if Odds ratio was chosen as the effect size. The problem did not occur when the effect size was specified in terms of Two probabilities.

Mac

The Window menu now contains the option to hide the distributions plot and the protocol section ( Hide distributions & protocol menu item) so that G*Power can be accommodated to small screens. This option has been available for some time in the Windows version (see View menu).

16 December 2009 - Release 3.1

Mac

Added procedures to analyze the power of tests for single correlations based on the tetrachoric model, comparisons of dependent correlations, bivariate linear regression, multiple linear regression based on the random predictor model, logistic regression, and Poisson regression.

08 December 2009 - Release 3.1.1

Windows

Re-enabled options dialog for Correlation: Bivariate normal model.

29 June 2009 - Release 3.1

Windows

Added procedures to analyze the power of tests referring to single correlations based on the tetrachoric model, comparisons of dependent correlations, bivariate linear regression, multiple linear regression based on the random predictor model, logistic regression, and Poisson regression.

24 January 2008 - Release 3.0.10

Mac and Windows

Fixed a problem in the X-Y plot for a range of values for Generic F tests. The degrees of freedom were not properly set in the graph, leading to erroneous plot values.

22 January 2008 - Release 3.0.9

Mac

Eliminated the brushed metal look for better readability under Mac OS X 10.5.

Windows

Fixed some minor GUI problems (buttons had German titles; button in file dialog named "open" instead of "save").
Fixed problems with distribution plots (plots were sometimes not appropriately clipped when copied or saved as metafile; drawing glitches with some very steep curves).
The file dialog shown when saving graphs or protocols now uses the user's home directory (myDocuments) as defaults directory.

10 October 2007 - Release 3.0.8

Mac and Windows

Fixed a serious bug in the CDF routine of the noncentral t distribution introduced in the bugfix release 3.0.7. Please update immediately if you installed version 3.0.7.

8 October 2007 - Release 3.0.7

Mac and Windows

Fixed a bug in the function calculating the CDF of the noncentral t-distribution that occasionally led to (obviously) wrong values when p was very close to 1. All power routines based on the t distribution were affected by this bug.

14 August 2007 - Release 3.0.6

Mac

Fixed a bug in the routine that draws the central and noncentral t distributions for two-tailed tests. When alpha was very small, this bug could cause G*Power to crash.

03 July 2007 - Release 3.0.5

Mac and Windows

Fixed a bug in the Power Plot (opened using the X-Y-plot for a range of values button) for F tests, MANOVA: Global effects and F Tests, MANOVA: Special effects and interactions. Sometimes some of the variables were not correctly set in the plot procedure which led to erroneous values in the graphs and the associated tables.

26 June 2007 - Release 3.0.4

Mac and Windows

Fixed a bug in the Power Plot (opened using the X-Y-plot for a range of values button) for F Tests, Multiple Regression: Special (R2 increase). The numerator df value was not always correctly determined in the plot procedure which led to erroneous values in the graphs and the associated tables.
Fixed some minor problems with t tests. G*Power now checkes for invalid null effect sizes in a priori analyses. The t distribution PDF routine is now more robust for very large degrees of freedom by explicitly using a normal approximation in these cases.
When the Power Plot window was first opened by pressing the X-Y plot for a range of values button, the default was to show 4 plots simultaneously. The default has been changed to 1 plot.
Corrected some parsing errors in the calculator (in the Mac version, this only concerns text input in normal input fields).
Corrected a label in the effect size drawer for ANOVA: Fixed effects, omnibus, one-way. In the From variance input mode, the Variance within group field was erroneously labeled Error variance.

Windows

Fixed a problem with moving the main window when the effect size drawer is open. Sometimes the mouse pointer appeared to be "glued" to the window and the movement could not be stopped properly.

1 March 2007 - Release 3.0.3

Mac and Windows:

Fixed a bug in the X-Y plots for a range of values for F Tests, ANOVA: Fixed effects, special, main effects and interactions. The df1 value was not always correctly determined in the plot procedure which led to erroneous values in the plots.
Fixed the problem in the plot procedure that (due to rounding errors) the last point on the x-axis was sometimes not included in the plot.

28 February 2007 - Release 3.0.2

Mac and Windows

Fixed a probem with tooltips for effect size conventions which were not always shown.

Windows

Added options mainly intended to make G*Power usable with low resolution displays (800 x 600 pixels)
The distribution/protocol view and the test/analysis selection view in the main window can be hidden temporarily to save space. To hide/show these sub-views press F4 (plot/protocol) and F5 (test/analysis), respectively, while the main window is active. There are also corresponding entries in the View menu.
The Graph window can now be made resizable. To do this choose "Resizable Window" in the View menu of the Graph window. Besides enabling (restricted) resizability this option initially shrinks the window to a size that fits into a 800 x 600 screen. Deselecting the option restores the Graph window to the fixed size for which G*Power was optimized.

Mac

Fixed a cosmetic problem when drawing "extreme" central and non-central distributions.

15 January 2007 - Release 3.0.1

Windows

Effect size calculation for t Tests, Difference between two indepent means (two groups), case n1 = n2: The wrong means-those of case n1 ≠ n2-were used to calcultate the effect size. This problem has been fixed.
Minor cosmetic changes.
New Readme file.
Updated installation instruction.

12.01.2007 - First release of version 3.0.0

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17 March 2020 - Release 3.1.9.7 Windows Changed the behavior of the "X-Y plot for a range of values" which allowed plotting graphs after changing input parameters in the main window without hitting the "Calculate" button which, however, is required to update the "X-Y plot for a range of values" with the new input parameters from the main dialog.

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9. How to Write a Mixed Methods Study for Publication | John W. Creswell | University of Michigan

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คลิปเกี่ยวกับ MRA

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คลิปเกี่ยวกับ MRA

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Compute the minimum sample size for a structural equation model (SEM) study involving latent variables, given the expected effect size, the desired p-value, the desired statistical power level, and the number of observed and latent variables. The calculator will compute the minimum sample size required in light of the structural complexity of the model, as well as the minimum sample size required to detect the specified effect. Knowing the proper sample size is critical in analytics studies that rely on structural equation modeling (SEM).

Please provide the necessary values, and then click 'Calculate'.

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calculate sample size for structural equation models

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structural equation model sample size calculator

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structural equation model sample size formula

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sample size for structural equation model

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Structural Equation Model Sample Size Calculator

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Compute the minimum sample size for a structural equation model (SEM) study involving latent variables, given the expected effect size, the desired p-value, the desired statistical power level, and the number of observed and latent variables.

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10. Evaluating the Quality of a Mixed Methods Study | John W. Creswell | University of Michigan

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คลิปเกี่ยวกับ t-test และ F-test ครับ

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คลิปเกี่ยวกับ t-test และ F-test ครับ

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This calculator will compute the sample size required for a study that uses a structural equation model (SEM), given the number of observed and latent variables in the model, the anticipated effect size, and the desired probability and statistical power levels. The calculator will return both the minimum sample size required to detect the specified effect, and the minimum sample size required given the structural complexity of the model.

Please enter the necessary parameter values, and then click 'Calculate'.

# data[].attributes.attachment_link.keywords[]
calculate sample size for structural equation models

# data[].attributes.attachment_link.keywords[]
structural equation model sample size calculator

# data[].attributes.attachment_link.keywords[]
structural equation model sample size formula

# data[].attributes.attachment_link.keywords[]
sample size for structural equation model

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A-priori Sample Size Calculator for Structural Equation Models

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This calculator will compute the sample size required for a study that uses a structural equation model (SEM), given the number of observed and latent variables in the model, the anticipated effect size, and the desired probability and statistical power levels.

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Aronhime, S., Calcagno, C., Jajamovich, G. H., Dyvorne, H. A., Robin, P., Dieterich, D., Fiel, M. I., Martel-Laferriere, V., Chatterji, M., Rusinek, H., & Taouli, B. (2014). DCE-MRI of the Liver: Effect of Linear and Nonlinear Conversions on Hepatic Perfusion Quantification and Reproducibility. Journal of magnetic resonance imaging. 40. 90 - 98.