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Mikko Rönkkö @UCGBfxuA3U-caAZ9A-6rG5Eg@youtube.com

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This channel contains teaching material used in the doctoral


01:05:23
Replicating Mändli and Rönkkö (2025) using Claude 3.7 Sonnet and Cline
04:11
Creating Shiny apps with Cline
22:06
Gen AI in Stata with Visual Studio Code
29:20
Gen AI in R with Visual Studio Code
19:20
Paradigms in social research
08:47
Basics of qualitative research
11:50
JSBE policy on generative AI
11:57
Example quantitative article Causal claims with experiments
08:38
Alternative ways to to think about quality of research
20:46
What is business research
11:43
Philosophical assumptions in business research
09:40
Using AI to improve writing
11:18
Plagiarism and citing
15:21
Example quantitative article: Causal claims with survey data
17:21
Basics of quantitative research
08:57
Research questions and research processs
18:21
Example qualitative article: Positivist multiple case study
25:24
Basics of writing and structuring text
11:55
Why study research methods
08:16
Example qualitative article: Interpretive grounded theory study (Audio problems)
13:54
Searching academic literature
06:40
Forms of evidence
11:52
Introduction to statistical prediction models
12:34
Inductive and deductive research
09:52
Effective use of Microsoft Word styles Mac version
10:25
Effective use of Microsoft Word styles - Windows version
08:16
Example qualitative article: Interpretive grounded theory study
14:15
Basics of quantitative and qualitative research
05:10
Reference management software
16:33
Using AI to read research articles
01:11:08
AoM Meeting 2024 symposium: Precision in Data Preparation
01:10:16
AOM 2024 Moderation PDW with Jeremy Dawson (partial recording)
51:13
Normality assumption
52:36
Normaalijakaumaoletus (in Finnish)
31:10
Simulations in Stata
46:11
Simulations in R
03:13
Reading research articles with Microsoft Edge and Copilot
41:04
Metodifestivaalit 2023 Confirmatory Factor Analysis talk
01:56:52
AoM 2023: Everything You Wanted to Know About Moderated Regression (But Were Afraid to Ask)
20:02
GPT in higher education
05:54
Using AI to understand articles
22:15
GPT yliopistossa
09:36
Linear model implies a covariance matrix matrix
16:27
Modification indices
11:20
Empirical identification checks (with Stata)
07:07
Convergence diagnostics workflow
14:23
Hessian matrix and model convergence
09:57
Starting values and model convergence
17:29
Non-convergence in structural equation models and other models
17:12
How to practice troubleshooting non converged models
10:26
Introduction to model convergence playlist
36:26
Biggest problem and learning more
25:10
Reading research articles
18:36
Troubleshooting Zotero references in a document
23:37
AoM Meeting 2022 live presentation about modelling of entrepreneurial orientation.
24:19
Conditional fixed-effects logistic model
07:37
Multilevel model in matrix form
37:36
Numerical integration in ML estimation
09:27
Factor scores
07:27
Errors in variables regression