- Видео 290
- Просмотров 49 157
Fourth Z
США
Добавлен 7 сен 2008
Welcome to the Fourth Z! I am Mike Seaman, a behavioral and social statistics instructor and founder/owner of Fourth Z Consulting, LLC. Although I have been teaching for many years, I have only recently begun to post some of the videos I have made over the years. I also plan on creating some videos specifically for RUclips in the months ahead. My videos reflect my primary statistical interests, all focused specifically within the domain of the behavioral, social, and medical sciences. These include basic statistical theory and methods, nonparametric statistical methods, using and programming in R, and the philosophy of science as applied to the "soft sciences."
I have been making videos for my courses before there was a RUclips, so you will find old and clunky videos mixed in with those that are more up-to-date. The migration of my learning archive to this channel is just beginning, so if you find anything useful now, I hope you'll check back later as I add to the collection.
I have been making videos for my courses before there was a RUclips, so you will find old and clunky videos mixed in with those that are more up-to-date. The migration of my learning archive to this channel is just beginning, so if you find anything useful now, I hope you'll check back later as I add to the collection.
Effect Size and Strength of Association
Estimating the size of an effect or the strength of association is one of the most important tasks a researcher can accomplish when analyzing data from an experiment or observational study. In this video I provide a top-level view of this process. The next step would be to learn specific effect size and associational estimates and how to calculate and interpret these.
Просмотров: 51
Видео
Types of Inference
Просмотров 32Месяц назад
This is a description of the four types of inference proposed by Draper in a 1995 "Journal of Educational and Behavioral Statistics" article.
The Validity of Inference
Просмотров 38Месяц назад
This is a presentation that I gave to an experimental design class. Much of this corresponds to Chapter 2 of Maxwell and Delaney's "Designing Experiments and Analyzing Data" textbook.
Concepts in Inference
Просмотров 54Месяц назад
I created this video for students in my experimental design course as a way to review some of the basic, fundamental issues in statistical inference. My statement at the outset that "we are going to be delving further" is because I gave this presentation at the beginning of the course. Indeed, even if you are joining us via RUclips, I will be posting additional videos as I teach the course, so ...
A Brief Introduction to Philosophies of Science
Просмотров 33Месяц назад
The philosophy of science is a discipline that includes hundreds of high-intellect professionals who study and debate philosophical issues. This brief introduction is very brief and a very "rough" overview. I am not a philosopher, nor do I suppose to survey the entire domain in 18 minutes. I recorded this video to assist the students in my experimental design class. The "Chapter 1" that I refer...
Analyzing Categorical Data Part 5
Просмотров 905 месяцев назад
Putting the various aspects of our learning in this video series together, I create a more formal report of the analysis of categorical data.
Logistic Regression Part 5
Просмотров 435 месяцев назад
This video is about comparing the contribution of individual variables in a multiple logistic regression model.
Logistic Regression Part 4
Просмотров 395 месяцев назад
I demonstrate using multiple logistic regression.
Logistic Regression Part 3
Просмотров 395 месяцев назад
I demonstrate using simple logistic regression.
Logistic Regression Part 2
Просмотров 585 месяцев назад
This video is about the odds ratio and the logistic regression equation.
Logistic Regression Part 1
Просмотров 665 месяцев назад
I discuss the purpose of logistic regression and provides some descriptive statistics to calculate when we use logistic regression.
Analyzing Categorical Data Part 4
Просмотров 785 месяцев назад
With this video we turn our attention to making multiple comparisons among explanatory conditions while still maintaining the familywise error rate.
Analyzing Categorical Data Part 3
Просмотров 635 месяцев назад
I continue our look at analyzing data obtained with the model of homogeneity by considering an example in which there are more than two levels of both the explanatory and response variables.
Analyzing Categorical Data Part 2
Просмотров 735 месяцев назад
This video is about making inferences outside a study from the observations made in the study when analyzing a categorical response variable and a categorical explanatory variable.
Analyzing Categorical Data Part 1
Просмотров 975 месяцев назад
I introduce this series on analyzing categorical data with two sampling models: the model of independence and the model of homogeneity. I then exemplify the model of homogeneity with data from an experiment and construct a graphical display and calculate descriptive statistics.
Regression with Mixed Variable Types Part 7
Просмотров 576 месяцев назад
Regression with Mixed Variable Types Part 7
Regression with Mixed Variable Types Part 6
Просмотров 686 месяцев назад
Regression with Mixed Variable Types Part 6
Regression with Mixed Variable Types Part 5
Просмотров 626 месяцев назад
Regression with Mixed Variable Types Part 5
Regression with Mixed Variable Types Part 4
Просмотров 506 месяцев назад
Regression with Mixed Variable Types Part 4
Regression with Mixed Variable Types Part 3
Просмотров 466 месяцев назад
Regression with Mixed Variable Types Part 3
Regression with Mixed Variable Types Part 2
Просмотров 506 месяцев назад
Regression with Mixed Variable Types Part 2
Regression with Mixed Variable Types Part 1
Просмотров 776 месяцев назад
Regression with Mixed Variable Types Part 1
Thank you very much! You are a life saver :)
There is something I did not understand. We multiply the deviation of the variable x from its mean * the deviation of the variable y from its mean, so what results Does a deviation result, and if the answer is yes, a deviation results, then what is a deviation from?
This is such a well- explained and clear guideline. Thank you so much.
Bradley Efron won the" The international prize in statistics " which is considered equivalent to the Nobel Prize
This is such a good explanation, I'm surprised it only has 1.8k views
¡Excellent! Do you have a second part for this video?
The best introduction to nonparametric Statistics! What you said is so true. Thank you for your work:)
Dear. one question about three-way interaction terms. Let's label each variable A(main variable), B(1st moderator), C (2nd moderator). I'm interested in (hypothesize) the relationships A-B and A-B-C. Should all two-way (AB, AC, BC) and three-way interaction terms (A * B * C) be included in a regression model and result, or would it be fine to include some of the interest (AB, ABC) only?
Invoking the principle of marginality, I suggest that you include all two-factor interactions if you want to study a model that includes three-factor interaction.
Excellent presentation. Thanks for this.
Las Vegas, NV, USA: Great, thanks! Very clear and easy. Love that you shared the drag and drop with the xls file!
Thanks!
Go Stats!
Great presentation! Very clear step-by-step guide through something I have had great difficulty grasping. Fills in the "holes" that impeded my understanding.
This was useful! Thanks
Where on earth did you pull the Excel file from around 7:00 mark? I can't drag files over.
Very well narrated and explained to R beginners
no doubt explanation is very nice and detailed
Thank you was helpful.