2.3 GB | 00:29:48 | mp4 | 960X540 | 16:9
Genre:eLearning |Language:English
Files Included :
1 - 1 - Course Introduction.mp4 (45.35 MB)
2 - 1 - Lecture 1a Randomized Studies (2948).mp4 (91.6 MB)
2 - 2 - Lecture 1b Observational Studies (1418).mp4 (44.17 MB)
2 - 3 - Lecture 2a Histograms (2146).mp4 (57.35 MB)
2 - 4 - Lecture 2b Summary Statistics (1951).mp4 (54.58 MB)
2 - 5 - Lecture 2c Tools for Inferential Statistics (1444).mp4 (40.94 MB)
2 - 6 - Lecture 3a Downloading Installing R (1505).mp4 (46.47 MB)
2 - 7 - Lecture 3b Writing a Script (1505).mp4 (45 MB)
3 - 1 - Lecture 4a Examples of Correlations (2550).mp4 (72.35 MB)
3 - 2 - Lecture 4b Calculating Correlations (1302).mp4 (35.59 MB)
3 - 3 - Lecture 4c Interpreting Correlations (2147).mp4 (57.55 MB)
3 - 4 - Lecture 5a Reliability Validity (1749).mp4 (47.89 MB)
3 - 5 - Lecture 5b Sampling (1829).mp4 (52.39 MB)
3 - 6 - Lecture 6a Scatterplots Correlations in R (2526).mp4 (64.99 MB)
3 - 7 - Lecture 6b Test Re-test Reliability Analysis in R (1358).mp4 (35.26 MB)
4 - 1 - Lecture 7a Introduction to Regression (2532).mp4 (67.59 MB)
4 - 2 - Lecture 7b A Closer Look at Null Hypothesis Significance Testing (NHST) (2713).mp4 (77.54 MB)
4 - 3 - Lecture 8a Introduction to Multiple Regression (2322).mp4 (63.56 MB)
4 - 4 - Lecture 8b Matrix Algebra (1753).mp4 (47.7 MB)
4 - 5 - Lecture 8c Estimation of Coefficients (1415).mp4 (44.02 MB)
4 - 6 - Lecture 9a Multiple Regression Analysis in R (1731).mp4 (42.54 MB)
4 - 7 - Lecture 9b Standardized Multiple Regression Analysis in R (1614).mp4 (41.47 MB)
5 - 1 - Lecture 10a Regression Method for Mediation (1812).mp4 (53.61 MB)
5 - 2 - Lecture 10b Path Analysis Method for Mediation (1547).mp4 (45 MB)
5 - 3 - Lecture 11a Moderation Example 1 (1816).mp4 (58.12 MB)
5 - 4 - Lecture 11b Data Centering and Dummy Coding (2646).mp4 (86 MB)
5 - 5 - Lecture 11c Moderation Example 2 (1816).mp4 (52.7 MB)
5 - 6 - Lecture 12a Mediation in R (2729).mp4 (33.73 MB)
5 - 7 - Lecture 12b Moderation in R (1543).mp4 (31.98 MB)
6 - 1 - Lecture 13a Overview of Students t-test (2729).mp4 (82.23 MB)
6 - 2 - Lecture 13b Dependent Independent t-tests (1543).mp4 (45.43 MB)
6 - 3 - Lecture 14a General Linear Model (1451).mp4 (44.64 MB)
6 - 4 - Lecture 14b One-Way ANOVA (1558).mp4 (49.42 MB)
6 - 5 - Lecture 14c Factorial ANOVA (2123).mp4 (63.62 MB)
6 - 6 - Lecture 15a Student t-tests and ANOVA in R.mp4 (28.32 MB)
6 - 7 - Lecture 15b T-tests in R.mp4 (47.44 MB)
6 - 8 - Lecture 15c ANOVA in R.mp4 (36.79 MB)
7 - 1 - Lecture 16a Benefits of Repeated Measures ANOVA.mp4 (62.15 MB)
7 - 2 - Lecture 16b Risks of Repeated Measures ANOVA.mp4 (38.51 MB)
7 - 3 - Lecture 17a Mixed Factorial ANOVA.mp4 (39.01 MB)
7 - 4 - Lecture 17b Mixed Factorial ANOVA in R.mp4 (64.9 MB)
7 - 5 - Lecture 18 Summary.mp4 (49.4 MB)
7 - 1 - R Tour Introduction and Console (236).mp4 (3.42 MB)
7 - 10 - R Tour Script Walkthrough (1527).mp4 (20.53 MB)
7 - 11 - R Tour Running Scripts (327).mp4 (6.41 MB)
7 - 12 - R Tour- Debugging Scripts (455).mp4 (6.83 MB)
7 - 2 - R Tour Variables and Workspace (356).mp4 (5.89 MB)
7 - 3 - R Tour Working Directory (406).mp4 (8.79 MB)
7 - 4 - R Tour- Default Working Directory in Windows.mp4 (3.49 MB)
7 - 5 - R Tour- Importing Data (445).mp4 (7.29 MB)
7 - 6 - R Tour Functions (1119).mp4 (21.05 MB)
7 - 7 - R Tour Libraries (547).mp4 (7.48 MB)
7 - 8 - R Tour Creating and Saving Scripts (206).mp4 (4.71 MB)
7 - 9 - R Tour Getting Help with R (234).mp4 (4.46 MB)]
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