- Видео 23
- Просмотров 12 452
Statistics Made Easy
Нидерланды
Добавлен 6 апр 2020
Join Marvin Hanisch, Associate Professor at the University of Groningen, for a practical and engaging introduction to data preparation, analysis, and interpretation. The video tutorials blend intuitive explanations of statistical concepts with hands-on applications using Stata, a data science and analysis software. Ideal for both undergraduate and graduate students in the social sciences, the content is also a valuable resource for data analysis professionals seeking to enhance their skills.
Statistics Made Easy 5.7: Robust and Clustered Standard Errors
In this video, I explain the difference between robust and clustered standard errors, when to use them, and how to implement them in Stata. I also discuss the assumptions of homoscedasticity and independent observations, and what happens when these assumptions are violated.
For additional background reading on clustered standard errors, I recommend these papers:
1) doi.org/10.1016/j.jeconom.2023.105518
2) doi.org/10.1016/j.jeconom.2022.04.001
3) doi.org/10.1093/qje/qjac038
Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offer valuable support. Additionally, search engines (e.g., Google and Bing) and artificial intell...
For additional background reading on clustered standard errors, I recommend these papers:
1) doi.org/10.1016/j.jeconom.2023.105518
2) doi.org/10.1016/j.jeconom.2022.04.001
3) doi.org/10.1093/qje/qjac038
Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offer valuable support. Additionally, search engines (e.g., Google and Bing) and artificial intell...
Просмотров: 1 409
Видео
Statistics Made Easy 6.2: Testing Moderation in Stata
Просмотров 1,9 тыс.8 месяцев назад
In this tutorial, we implement a moderation analysis in Stata. We use interaction terms and interpret and visualize the marginal effects of the explanatory variables. For an introduction to moderation, check out this video: ruclips.net/video/-Ra2SsoJdOQ/видео.html For additional background reading on marginal effects analysis and moderation, I recommend this paper: doi.org/10.1177/1094428120976...
Statistics Made Easy 1: Welcome to Statistics Made Easy
Просмотров 1 тыс.8 месяцев назад
In this tutorial, we will explore how to create, analyze, and interpret statistical output using Stata, a powerful data and statistical analysis software. This tutorial serves both academic and professional audiences, offering essential tools for research and business data analysis. Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (st...
Statistics Made Easy 3.1: Data Preparation in Stata
Просмотров 9998 месяцев назад
In this tutorial, we learn how to prepare data for statistical analysis using Stata. This includes creating and deleting variables, labeling variables, and working with numeric, categorical, string, and date variables. For additional background reading on nonlinear transformations of variables (e.g., logarithmic transformations), I recommend this paper: doi.org/10.1177/1094428118775205 Remember...
Statistics Made Easy 5.5: Interpreting the Results from Nonlinear Regression Models
Просмотров 1668 месяцев назад
In this video, we examine the output of a nonlinear regression model (probit regression). We cover coefficients, effect sizes, standard errors, null hypotheses, statistical significance, R-squared, p-values, and F-tests. For additional background reading on logit and probit regressions, I recommend these papers: 1) doi.org/10.1002/smj.582 2) doi.org/10.1002/smj.783 3) doi.org/10.1002/smj.758 Re...
Statistics Made Easy 4.2: Descriptive Statistics in Stata
Просмотров 4468 месяцев назад
In this tutorial, we learn how to analyze data descriptively using Stata. This includes creating tables with minimum, mean, maximum, and standard deviation values, as well as correlations and p-values. We will use the user-written "mkcorr" command and Stata's built-in "table" command to export descriptive statistics into publication-ready tables. Remember, the official Stata help files (type "h...
Statistics Made Easy 8: Causal Inferences and Endogeneity
Просмотров 2528 месяцев назад
In this video, we discuss endogeneity problems that can lead to biased estimates in regressions. We focus on three primary sources of endogeneity: selection bias, omitted variable bias, and reverse causality (or simultaneity). When endogeneity is present, making causal inferences can be challenging. In this case, it is often prudent to interpret the results as "associations" or "relationships" ...
Statistics Made Easy 6.5: Testing Mediation in Stata
Просмотров 1,5 тыс.8 месяцев назад
In this tutorial, we conduct a mediation analysis in Stata, utilizing the "mediate" command, which is accessible in Stata 18 and higher. Alternatively, you can explore Stata's structural equation modeling (SEM) capabilities: www.stata.com/features/structural-equation-modeling/ For an introduction to mediation, check out this video: ruclips.net/video/8fH3hcUCPjI/видео.html For additional backgro...
Statistics Made Easy 3.2: Introduction to Combining Datasets
Просмотров 3378 месяцев назад
In this tutorial, we learn how to combine different datasets into one dataset using Stata's "merge" and "append" commands. We will also learn about common errors that occur when merging datasets. Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offer valuable support. Additionally, search engines (e.g., Google and Bing...
Statistics Made Easy 7.2: Panel Regressions in Stata
Просмотров 2648 месяцев назад
In this hands-on session, we implement a panel regression in Stata. We will talk about random effects and fixed effects models, the ominous Hausman test, and how to decide which model to use. For an introduction to panel data and regression, check out this video: ruclips.net/video/SUpHS6U0fB8/видео.html Remember, the official Stata help files (type "help [command]" in the Stata command line) an...
Statistics Made Easy 9: Using Python in Stata
Просмотров 3968 месяцев назад
We implement one of Stata's recently added features that allows you to run Python code from within Stata. Integrating Python can streamline your workflow, enabling you to combine techniques such as machine learning or web scraping with statistical analysis in Stata. Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offe...
Statistics Made Easy 3.3: Combining Datasets in Stata
Просмотров 2578 месяцев назад
In this tutorial, we go through a practical example of Stata's "merge" and "append" commands with the goal of combining three different data sets into one combined data set ready for statistical analysis. Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offer valuable support. Additionally, search engines (e.g., Google...
Statistics Made Easy 7.1: Introduction to Panel Regressions
Просмотров 2508 месяцев назад
This primer introduces you panel data and panel regressions, which you need if you observe a unit (e.g., a firm or an individual) at different points in time. We begin by addressing how to organize your data correctly, converting "wide format" datasets into "long format" datasets using Stata's "reshape" command, and setting the unit and time identifiers with "xtset". Remember, the official Stat...
Statistics Made Easy 5.3: Setting the Sample
Просмотров 1838 месяцев назад
In this video, we discuss why we need to set a constant sample size for our statistical analyses and how to do so in Stata. Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offer valuable support. Additionally, search engines (e.g., Google and Bing) and artificial intelligence tools (e.g., ChatGPT and Gemini) can assis...
Statistics Made Easy 5.1: Introduction to Multivariate Statistics and Regressions
Просмотров 3598 месяцев назад
This primer offers a brief introduction to the intuition and interpretation of regression models. We cover concepts such as variance, covariance, linear and non-linear regressions, the ordinary least squares method, standard errors, coefficients, t-statistics, null hypotheses, constants, marginal effects, and selecting the appropriate regression model. Remember, the official Stata help files (t...
Statistics Made Easy 5.4: Interpreting the Results from Linear Regression Models
Просмотров 2068 месяцев назад
Statistics Made Easy 5.4: Interpreting the Results from Linear Regression Models
Statistics Made Easy 2: Stata's User Interface
Просмотров 5168 месяцев назад
Statistics Made Easy 2: Stata's User Interface
Statistics Made Easy 5.2: Multivariate Statistics and Regressions in Stata
Просмотров 3108 месяцев назад
Statistics Made Easy 5.2: Multivariate Statistics and Regressions in Stata
Statistics Made Easy 6.3: Testing U-Shaped Relationships in Stata
Просмотров 5578 месяцев назад
Statistics Made Easy 6.3: Testing U-Shaped Relationships in Stata
Statistics Made Easy 4.1: Introduction to Descriptive Statistics
Просмотров 3128 месяцев назад
Statistics Made Easy 4.1: Introduction to Descriptive Statistics
Statistics Made Easy 6.4: Introduction to Mediation Analysis
Просмотров 3128 месяцев назад
Statistics Made Easy 6.4: Introduction to Mediation Analysis
Statistics Made Easy 5.6: Control Variables
Просмотров 1568 месяцев назад
Statistics Made Easy 5.6: Control Variables
Statistics Made Easy 6.1: Introduction to Moderation Analysis
Просмотров 3528 месяцев назад
Statistics Made Easy 6.1: Introduction to Moderation Analysis
Hi! Thanks for the explanation video. Can the mediate command calculate partial mediation? Further, can we also include multilevel effects in here, as is possible in the gsem command?
Thank you! 1) To test for partial mediation in Stata's mediate command: > Check direct effect: If significant after accounting for the mediator, it suggests partial mediation. > Compare direct & indirect effects: Significant direct effect and/or substantial difference in their magnitudes indicate partial mediation. 2) The standard mediate command doesn't handle multilevel data: > Instead you could try the user-written ml_mediation command (type "help ml_mediation") > For further information see: stats.oarc.ucla.edu/stata/faq/how-can-i-perform-mediation-with-multilevel-data-method-1/ I hope this helps!
@@statisticsmadeeasy5458 Thanks, super helpful!
Thank you very much! hope to see more vedios on statsitics explanation from you!
Great video! helped a ton
Sir, have u practise that on stata?
clear explantion, thanks can you continue with your videos, like machine learning using R
Is this mediate command designed for cross sectional data only? How about panel data?
Currently, the "mediate" command is limited to cross-sectional data. Perhaps the following discussion will provide some further background to your panel data question: www.statalist.org/forums/forum/general-stata-discussion/general/1659266-mediation-analysis-panel-data
This is a great explanation of the topic, with specific importance to every detail. I found it very helpful and easy to understand. Thank you
Hey, great video! I used the fracreg probit command and i want to test if there is a u-shape now but the utest command doesn't work after this regression, it only works after using xtreg regression. Do i have to use xtreg to test for a u-shape?
@louisa9783 Generally, you can rely on the marginal effects analysis. The utest command is essentially a variant of the marginal effects analysis and can serve as a complementary test.
Thank you, sir, for your useful video and your great instruction. If we have two mediators with 3 and 4 categories. Please kindly give me some advice on how we can proceed with the mediate command?
You can use factor variables with the mediate command (type "help mediate" in Stata's command line). The simplest solution is to use "i." in front of categorical variables (e.g., i.var_name) so that Stata knows that the variable is not continuous.
Thank you sir for the explanation video! Could you tell me the references explanation for my citation on my thesis, sir? Thank you so much for help!
You are welcome. Please have a look at the references in the video description. You can also refer to the official Stata help file.
This is so helpful!! thank you so much
Dear sir please upload mediated-moderated models too.
Dear Professor You are doing an amazing work. you have made my STATA skills pretty splendid. I do request to continue this video series and complete all the models (Time Series and Panel Data), Primary & Secondary Data.
Thanks for your feedback! I am glad to hear that you found the videos helpful.
very comprehensive
Thanks for making this video and providing the right interpretation for the interaction term .
It would be more useful if you could show an example with significant results, followed by the estimation and the interpretation of marginal effects.
Excellent summary of resources! Thanks a lot for sharing, Marvin! Would definitely be interested in seeing more content/examples of applying these recommended methods of mitigating endogeneity. This issue has given many researchers too many headaches, lol.
Thank you for making this useful video!