FreeCourseLab com Udemy - SPSS Masterclass Learn SPSS From Scratch to Advanced

1. 1. Introduction/1. Introduction Know Your Instrutor.mp422.54MB
2. 10. Independent Sample t-test Comparing Two Independent Group Means/1. Independent sample t-test Defining input options.mp431.33MB
3. 10. Independent Sample t-test Comparing Two Independent Group Means/2. Independent sample t-test Interpreting descriptive output (Mean, SD, SE).mp411.73MB
4. 10. Independent Sample t-test Comparing Two Independent Group Means/3. Independent Sample t-test Interpreting Levene's test, t, p, SE & 95% CI.mp411.74MB
5. 10. Independent Sample t-test Comparing Two Independent Group Means/4. APA Style write-up for Independent Sample t-test.mp416.06MB
6. 11. Paired Sample t-test Comparing Differences between Two Correlated Group Means/1. When to use Paired Sample t-test.mp412.39MB
7. 11. Paired Sample t-test Comparing Differences between Two Correlated Group Means/2. Calculating Paired Sample t-test in SPSS.mp416.3MB
8. 11. Paired Sample t-test Comparing Differences between Two Correlated Group Means/3. Interpreting Paired Sample t-test Output.mp48.95MB
9. 11. Paired Sample t-test Comparing Differences between Two Correlated Group Means/4. APA Style write-up for Paired Sample t-test.mp47.98MB
10. 12. One-Way ANOVA Comparing Differences between More than Two Groups/1. When to Use One-Way ANOVA.mp48.25MB
11. 12. One-Way ANOVA Comparing Differences between More than Two Groups/2. Calculating One-Way ANOVA in SPSS.mp414.57MB
12. 12. One-Way ANOVA Comparing Differences between More than Two Groups/3. Interpreting ANOVA output Descriptive Statistics.mp49.07MB
13. 12. One-Way ANOVA Comparing Differences between More than Two Groups/4. Interpreting Output ANOVA Summary Table.mp412.39MB
14. 12. One-Way ANOVA Comparing Differences between More than Two Groups/5. Doing Post-hoc analysis in ANOVA Homogeneity of Variance Test & Post-hoc.mp418.37MB
15. 12. One-Way ANOVA Comparing Differences between More than Two Groups/6. Trend Analysis & Means Plot in ANOVA.mp422.91MB
16. 12. One-Way ANOVA Comparing Differences between More than Two Groups/7. Contrast Analysis in ANOVA.mp411.76MB
17. 13. Linear Regression Cause and Effect Analysis of One IV on One DV/1. What is regression.mp45.55MB
18. 13. Linear Regression Cause and Effect Analysis of One IV on One DV/2. When to Use Linear Regression Vs. Multiple Regression.mp46.71MB
19. 13. Linear Regression Cause and Effect Analysis of One IV on One DV/3. Defining SPSS Input Options for Linear Regression.mp49.35MB
20. 13. Linear Regression Cause and Effect Analysis of One IV on One DV/4. Interpreting Linear Regression Output Variables & Model Summary.mp412.57MB
21. 13. Linear Regression Cause and Effect Analysis of One IV on One DV/5. Interpreting Linear Regression Output Constant, B, Beta, SE & t.mp415.1MB
22. 14. Multiple Regression Causal Effect of Many IVs on One DV/1. What is Multiple Regression.mp421.07MB
23. 14. Multiple Regression Causal Effect of Many IVs on One DV/10. Running Stepwise and Forward Selection Method of Regression in SPSS.mp424.31MB
24. 14. Multiple Regression Causal Effect of Many IVs on One DV/11. Choosing a Method of Multiple Regression Remove Method.mp416.31MB
25. 14. Multiple Regression Causal Effect of Many IVs on One DV/2. Assumptions of Multiple Regression Linearity & Testing Linearity in SPSS.mp418.44MB
26. 14. Multiple Regression Causal Effect of Many IVs on One DV/3. Assumptions 2 Independence of ErrorsLack of Autocorrelations & Testing in SPSS.mp411.95MB
27. 14. Multiple Regression Causal Effect of Many IVs on One DV/4. Assumptions 3 Homoscedasticity of Errors & Testing it in SPSS.mp48.54MB
28. 14. Multiple Regression Causal Effect of Many IVs on One DV/5. Assumptions 4 Multivariate Normality & Testing it in SPSS.mp45.07MB
29. 14. Multiple Regression Causal Effect of Many IVs on One DV/6. Assumptions 5 Multicollinearity & Testing it in SPSS.mp411.6MB
30. 14. Multiple Regression Causal Effect of Many IVs on One DV/7. Choosing a Method of Multiple Regression Enter Method.mp413.96MB
31. 14. Multiple Regression Causal Effect of Many IVs on One DV/8. Choosing a Method of Multiple Regression Stepwise and Forward Selection Method.mp414.91MB
32. 14. Multiple Regression Causal Effect of Many IVs on One DV/9. Choosing a Method of Multiple Regression Backward Elimination Method.mp411.36MB
33. 15. Hierarchical Regression Analysis/1. What is Hierarchical Regression Analysis and when to use it.mp48.08MB
34. 15. Hierarchical Regression Analysis/2. Setting Data and Defining Model in Hierarchical Regression.mp421.12MB
35. 15. Hierarchical Regression Analysis/3. Refining Model and Detecting Multicollinearity through Correlation Matrix.mp431.03MB
36. 15. Hierarchical Regression Analysis/4. Taming Bad Data Using beta, R squared and p values to further refine model.mp418.81MB
37. 15. Hierarchical Regression Analysis/5. Interpreting the Output of Hierarchical Regression.mp452.89MB
38. 16. Exploratory Factor Analysis/1. What is Factor Analysis.mp47.65MB
39. 16. Exploratory Factor Analysis/10. Understanding Inverse, Reproduced, Anti-Image.mp412.3MB
40. 16. Exploratory Factor Analysis/11. Extraction Method Principle Component Analysis.mp49.83MB
41. 16. Exploratory Factor Analysis/12. Extraction Method Principle Axis Factoring.mp45.33MB
42. 16. Exploratory Factor Analysis/13. Extraction Method Maximum Likelihood Estimation.mp44.41MB
43. 16. Exploratory Factor Analysis/14. Choosing Correlation vs. Covariance Matrix for Factor Analysis.mp421.24MB
44. 16. Exploratory Factor Analysis/15. Interpreting Correlation Matrix & Unrotated Factor Solution.mp434.56MB
45. 16. Exploratory Factor Analysis/16. Determining number of factors Scree Plot vs. Kaiser's eigen value criteria.mp434.68MB
46. 16. Exploratory Factor Analysis/17. Factor Rotation What it is and why its done.mp419.42MB
47. 16. Exploratory Factor Analysis/18. Rotation Methods Varimax, Quartimax, Equamax, Direct Oblimin, Promax.mp428.16MB
48. 16. Exploratory Factor Analysis/19. Calculating Factor Scores Regression, Bartlett, Anderson-Rubin.mp416.69MB
49. 16. Exploratory Factor Analysis/2. Understanding Latent Variables and Indicators in FA.mp45.17MB
50. 16. Exploratory Factor Analysis/20. Factor Score Coefficient Matrix.mp49.06MB
51. 16. Exploratory Factor Analysis/21. Missing Value Analysis Listwise, Pairwise, Replace with Mean.mp410.65MB
52. 16. Exploratory Factor Analysis/22. Sort by Size & Suppressing Smaller Coefficients.mp430.71MB
53. 16. Exploratory Factor Analysis/23. Project in Factor Analysis Part 1 Identifying Dimensions of Personality.mp451.26MB
54. 16. Exploratory Factor Analysis/24. Project in Factor Analysis Part 2 Identifying Dimensions of Personality.mp470.4MB
55. 16. Exploratory Factor Analysis/25. Project in Factor Analysis Part 3 Identifying Dimensions of Personality.mp422.39MB
56. 16. Exploratory Factor Analysis/26. Project in Factor Analysis Part 4 Factor Naming.mp439.28MB
57. 16. Exploratory Factor Analysis/27. Project in Factor Analysis Part 5 Reliability Analysis of Factors.mp4138.57MB
58. 16. Exploratory Factor Analysis/28. Project in Factor Analysis Part 6 Presenting Results in APA Style.mp445.04MB
59. 16. Exploratory Factor Analysis/3. Sample Researches Using FA in Social Science & Engineering.mp420.61MB
60. 16. Exploratory Factor Analysis/4. Historical Origin of FA & Its Application in Test Construction.mp411.11MB
61. 16. Exploratory Factor Analysis/5. Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA).mp418.85MB
62. 16. Exploratory Factor Analysis/6. Setting Data for Factor Analysis.mp412.87MB
63. 16. Exploratory Factor Analysis/7. Understanding Selection Variable.mp48.58MB
64. 16. Exploratory Factor Analysis/8. Univariate Descriptives & Initial Solutions Descriptive.mp45.4MB
65. 16. Exploratory Factor Analysis/9. Correlation Matrix Coefficients, Significance, Determinant, KMO & Bartlett's.mp415.35MB
66. 17. Chi-Square Test/1. Chi Square Test Introduction and When to Use Chi-Square Test.mp413.89MB
67. 17. Chi-Square Test/10. Practice Data set for One-Way Chi square.mp412.74MB
68. 17. Chi-Square Test/2. Assumptions of Chi-square Test.mp412.18MB
69. 17. Chi-Square Test/3. Formula for Calculation of Chi-Square Test.mp45.64MB
70. 17. Chi-Square Test/4. Setting Data for Calculation of Chi-Square using Crosstabs Option.mp419.97MB
71. 17. Chi-Square Test/5. Testing Assumptions of Chi-Square test Using Crosstabs Option.mp410.65MB
72. 17. Chi-Square Test/6. Interpreting Output of Chi-Square Test and APA Style Reporting.mp47.62MB
73. 17. Chi-Square Test/7. One-way Chi Square When to use and how its different from two-way Chi square.mp424.37MB
74. 17. Chi-Square Test/8. Setting Data for One-way Chi Square Test.mp47.25MB
75. 17. Chi-Square Test/9. Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square.mp430.04MB
76. 18. Reliability Analysis/1. Introduction to Reliability Analysis.mp43.51MB
77. 18. Reliability Analysis/10. Formula of Cronbach's Alpha.mp45.21MB
78. 18. Reliability Analysis/11. Range of Cronbach's Alpha.mp410.96MB
79. 18. Reliability Analysis/12. Calculating Reliability Understanding Scale if an Item is Deleted Option.mp412.61MB
80. 18. Reliability Analysis/13. Interpreting Case Processing Summary & Alpha Coefficient.mp42.64MB
81. 18. Reliability Analysis/14. Improving Reliability of a Scale Diagnosing Missing Values.mp430.92MB
82. 18. Reliability Analysis/15. Improving Reliability Diagnosing Scale Mean and Variances.mp413.16MB
83. 18. Reliability Analysis/16. Improving Reliability Diagnosing Item-Total Correlations.mp416.14MB
84. 18. Reliability Analysis/17. Improving Reliability Removing Ambiguous and Redundant Items.mp439.93MB
85. 18. Reliability Analysis/18. Item Discrimination Index.mp47.99MB
86. 18. Reliability Analysis/2. What is Reliability.mp45.77MB
87. 18. Reliability Analysis/3. Reflective vs. Formative Models of Scale.mp410.38MB
88. 18. Reliability Analysis/4. Should We Report Cronbach's Alpha or Composite Reliability.mp43.46MB
89. 18. Reliability Analysis/5. Type of Reliability Test-Retest Reliability.mp44.23MB
90. 18. Reliability Analysis/6. Type of Reliability Parallel Form.mp43.99MB
91. 18. Reliability Analysis/7. Type of Reliability Internal Consistency Reliability.mp47.33MB
92. 18. Reliability Analysis/8. Understanding Cronbach's Alpha.mp43.98MB
93. 18. Reliability Analysis/9. Assumptions of Cronbach's Alpha.mp418.54MB
94. 19. Graphical Presentation & Data Visualization in SPSS/1. Graphs & Data Visualization in SPSS An Introduction.mp49.12MB
95. 19. Graphical Presentation & Data Visualization in SPSS/10. How to Create Bar Diagrams with Error Bars in SPSS.mp422.33MB
96. 19. Graphical Presentation & Data Visualization in SPSS/11. How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams .mp453.11MB
97. 19. Graphical Presentation & Data Visualization in SPSS/12. Creating Clustered Bar Diagrams in SPSS.mp443.06MB
98. 19. Graphical Presentation & Data Visualization in SPSS/13. Pie Charts Understanding and Setting Dataset.mp421MB
99. 19. Graphical Presentation & Data Visualization in SPSS/14. Pie Charts Vs. Bar Diagram When to Use Pie Vs. Bar Diagram.mp414.43MB
100. 19. Graphical Presentation & Data Visualization in SPSS/15. How to create Pie Chart in SPSS.mp424.11MB
101. 19. Graphical Presentation & Data Visualization in SPSS/16. Pie Chart How to Change the Color of Pie.mp48.79MB
102. 19. Graphical Presentation & Data Visualization in SPSS/17. Pie Chart How to Merge Slices.mp411.58MB
103. 19. Graphical Presentation & Data Visualization in SPSS/2. Which Graph is Suitable for Me Rules for Creating Graphs Part 1.mp437.83MB
104. 19. Graphical Presentation & Data Visualization in SPSS/3. Which Graph is Suitable for Me Rules for Creating Graphs Part 2.mp425.91MB
105. 19. Graphical Presentation & Data Visualization in SPSS/4. Creating a Bar Diagram in SPSS.mp429.43MB
106. 19. Graphical Presentation & Data Visualization in SPSS/5. How to Change Background Color of Bar Diagram in SPSS.mp48.56MB
107. 19. Graphical Presentation & Data Visualization in SPSS/6. How to Change Color & Patterns of Bars in Bar Diagram.mp413.54MB
108. 19. Graphical Presentation & Data Visualization in SPSS/7. How to Adjust Width of Bars in Bar Diagram.mp411.25MB
109. 19. Graphical Presentation & Data Visualization in SPSS/8. How to Rename X & Y Axes of Bar Diagram in SPSS.mp410.17MB
110. 19. Graphical Presentation & Data Visualization in SPSS/9. Understanding Error Bars over Bar Diagram What, Why & How.mp419.14MB
111. 2. Downloading and Installing SPSS/1. Downloading and Installing IBM SPSS Statistics 24 on Windows.mp448.94MB
112. 2. Downloading and Installing SPSS/2. Downloading SPSS Grad Pack Student Version.mp410.02MB
113. 20. Logistic Regression/1. 1.What is Logistic Regression.mp41.53MB
114. 20. Logistic Regression/10. 10.Understanding Block Option and Interaction Option.mp48.74MB
115. 20. Logistic Regression/11. 11.Selecting Method and Coding Categorical Variable as Dummy Variable.mp418.02MB
116. 20. Logistic Regression/12. 12.Understanding Save Option Predicted Probabilities & Group Membership.mp415.31MB
117. 20. Logistic Regression/13. 13.Understanding Save Option Influence - Cook's Distance & DFBeta Options.mp415.09MB
118. 20. Logistic Regression/14. 14.Understanding Save Residuals – Standardized.mp45.22MB
119. 20. Logistic Regression/15. 15.Understanding Classification Plots Option.mp46.21MB
120. 20. Logistic Regression/16. 16.Understanding Hosmer-Lemeshow Goodness of Fit Test Option.mp45.49MB
121. 20. Logistic Regression/17. 17.Understanding Case-wise Listing of Residuals.mp43.97MB
122. 20. Logistic Regression/18. Understanding Correlation of Estimates Option.mp42.29MB
123. 20. Logistic Regression/19. Understanding Iteration History Option.mp42.3MB
124. 20. Logistic Regression/2. 2.Understanding the Logistic Regression Model.mp410.52MB
125. 20. Logistic Regression/20. Understanding CI for Exp(B) Option.mp49.73MB
126. 20. Logistic Regression/21. Including Constant in Model.mp46.13MB
127. 20. Logistic Regression/22. Understanding Classification Cutoff .5 & Bootstrapping.mp422.84MB
128. 20. Logistic Regression/23. Output Understanding Case Processing Summary & Dummy Variable Coding.mp414.89MB
129. 20. Logistic Regression/24. Output Understanding Block 0 vs Other Blocks & Iteration History.mp410.48MB
130. 20. Logistic Regression/25. Output Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke).mp420.3MB
131. 20. Logistic Regression/26. Output Understanding Classification Table (Sensitivity & Specificity).mp412.94MB
132. 20. Logistic Regression/27. Output Variables in Equation - Baseline Model Interpretation.mp46.26MB
133. 20. Logistic Regression/28. Output Hosmer-Lemeshow & Contingency Table for Baseline Model.mp44.62MB
134. 20. Logistic Regression/29. Output Interpretation of Hosmer-Lemeshow Test for Default Model.mp45.26MB
135. 20. Logistic Regression/3. 3.Understanding and Logistic Regression Model Shape, Logit and Probabilities.mp435.78MB
136. 20. Logistic Regression/30. Output Interpreting Variables in Equation for Default Model.mp46.9MB
137. 20. Logistic Regression/31. Output Interpreting Wald's Test for Default Model.mp417.91MB
138. 20. Logistic Regression/32. Odd Ratios (in Depth) Part 1 - Fundamentals, Derivation & Calculation.mp441.9MB
139. 20. Logistic Regression/33. Odd Ratios (in Depth) Part 2 - Calculating Odds of Lung Cancer w Smoking.mp419.94MB
140. 20. Logistic Regression/34. Interpreting Odd Ratios in Variables in Equation Table.mp48.05MB
141. 20. Logistic Regression/35. Interpreting Correlation Table and Understanding Multi-collinearity.mp49.94MB
142. 20. Logistic Regression/36. Classification Plot Interpretation & Application.mp431.43MB
143. 20. Logistic Regression/37. Interpreting Case-wise Listing of Residuals Output.mp431.42MB
144. 20. Logistic Regression/38. Interpreting Predicted Probabilities and Group Membership.mp419.4MB
145. 20. Logistic Regression/39. Interpreting Cook's Distance and DFBeta.mp429.29MB
146. 20. Logistic Regression/4. 4.Understanding the Equation of Logistic Regression.mp412.15MB
147. 20. Logistic Regression/40. Interpreting Omnibus Test Output.mp413.69MB
148. 20. Logistic Regression/41. Explaining Pseudo R Squares - 2Log Likelihood, Cox & Snell and Negelkerke.mp423.15MB
149. 20. Logistic Regression/42. Writing Final equation of Logistic Regression Manually.mp48.82MB
150. 20. Logistic Regression/43. APA Style Presentation of Table and Results.mp465.47MB
151. 20. Logistic Regression/5. 5.Requirements for Logistic Regression Analysis.mp42.12MB
152. 20. Logistic Regression/6. 6.Assumptions of Logistic Regression.mp421.56MB
153. 20. Logistic Regression/7. 7.Concept of Odd Ratios (in Brief).mp42.71MB
154. 20. Logistic Regression/8. 8.Setting Data and Understanding the Data File.mp421.22MB
155. 20. Logistic Regression/9. 9.How to Code the Binary Dependent Variable in Logistic Regression.mp414.55MB
156. 21. Moderation and Mediation Analysis using PROCESS Macro/1. Introduction to Mediation and Moderation Analysis.mp410.73MB
157. 21. Moderation and Mediation Analysis using PROCESS Macro/10. Whats is Mediation Understanding a Mediation Model.mp47.03MB
158. 21. Moderation and Mediation Analysis using PROCESS Macro/11. Whats is Full n Partial Mediation.mp44.47MB
159. 21. Moderation and Mediation Analysis using PROCESS Macro/11.1 10 Whats is full n partial mediation.mp4.mp44.65MB
160. 21. Moderation and Mediation Analysis using PROCESS Macro/12. Understanding Direct Indirect & Total Effects.mp49.2MB
161. 21. Moderation and Mediation Analysis using PROCESS Macro/13. What is Sobel Test.mp43.32MB
162. 21. Moderation and Mediation Analysis using PROCESS Macro/14. Partially Standardized vs Completely Standardized Indirect Effects.mp410.64MB
163. 21. Moderation and Mediation Analysis using PROCESS Macro/15. Understanding Ratios of Indirect effect Indirect to Total vs Indirect to Direct.mp47.31MB
164. 21. Moderation and Mediation Analysis using PROCESS Macro/16. What is Proportion of Variance Explained by Indirect Effect.mp46.8MB
165. 21. Moderation and Mediation Analysis using PROCESS Macro/17. Moderation analysis Dataset & Hypothesis Development.mp438.08MB
166. 21. Moderation and Mediation Analysis using PROCESS Macro/18. Understanding Model Numbers.mp418.33MB
167. 21. Moderation and Mediation Analysis using PROCESS Macro/19. Moderation Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q.mp47.68MB
168. 21. Moderation and Mediation Analysis using PROCESS Macro/20. Moderation Options Mean Center for Products.mp46.45MB
169. 21. Moderation and Mediation Analysis using PROCESS Macro/21. ModerationOptions Heteroscedasticity Consistent SE, OLSML CI, Data Plotting.mp44.88MB
170. 21. Moderation and Mediation Analysis using PROCESS Macro/22. Moderation Conditioning Johnson-Neyman.mp47.02MB
171. 21. Moderation and Mediation Analysis using PROCESS Macro/23. Moderation Multi-categorical.mp43.35MB
172. 21. Moderation and Mediation Analysis using PROCESS Macro/24. Dealing with Long Names.mp44.66MB
173. 21. Moderation and Mediation Analysis using PROCESS Macro/25. Explanation of Output of Moderation Analysis.mp4164.6MB
174. 21. Moderation and Mediation Analysis using PROCESS Macro/26. Plotting Moderation effect in SPSS and Excel.mp427.73MB
175. 21. Moderation and Mediation Analysis using PROCESS Macro/27. APA Style Presentation of Moderation Effect, Chart and Table.mp49.39MB
176. 21. Moderation and Mediation Analysis using PROCESS Macro/28. Conceptual Model of Mediation Does Glucose Mediates the Influence of Diabetes.mp46.3MB
177. 21. Moderation and Mediation Analysis using PROCESS Macro/29. Checking Suitability of Data for Mediation Analysis.mp419.43MB
178. 21. Moderation and Mediation Analysis using PROCESS Macro/3. Understanding Moderation analysis and its Regression Model - I.mp49.7MB
179. 21. Moderation and Mediation Analysis using PROCESS Macro/30. Mediation M-Variables, Model Number, Bootstrap Sample, and Covariates.mp411.74MB
180. 21. Moderation and Mediation Analysis using PROCESS Macro/31. MediationOptions OLSML Confidence Interval & Effect Size.mp46.22MB
181. 21. Moderation and Mediation Analysis using PROCESS Macro/32. MediationOption Sobel Test.mp48.38MB
182. 21. Moderation and Mediation Analysis using PROCESS Macro/33. MediationOptions Total Effect Model, Compare Indirect Effect, Print Model Cov.mp46.29MB
183. 21. Moderation and Mediation Analysis using PROCESS Macro/34. Mediation Conditioning, Multi-categorical, and Long Names.mp47.15MB
184. 21. Moderation and Mediation Analysis using PROCESS Macro/35. Mediation Output Understanding Covariance Matrix Output.mp49.45MB
185. 21. Moderation and Mediation Analysis using PROCESS Macro/36. Explaining Mediation Output-Part 1.mp413.5MB
186. 21. Moderation and Mediation Analysis using PROCESS Macro/37. Explaining Mediation Output-Part 2.mp417.63MB
187. 21. Moderation and Mediation Analysis using PROCESS Macro/38. Explaining Mediation Output-Part 3.mp411.06MB
188. 21. Moderation and Mediation Analysis using PROCESS Macro/39. Mediation Output Partially and Fully Standardized Indirect Effects.mp420.98MB
189. 21. Moderation and Mediation Analysis using PROCESS Macro/4. Understanding Moderation analysis and its Regression Model - II.mp425.56MB
190. 21. Moderation and Mediation Analysis using PROCESS Macro/40. Mediation Output Ratio of Indirect to Total Effect & Indirect to Direct Effect.mp45.23MB
191. 21. Moderation and Mediation Analysis using PROCESS Macro/41. Mediation Output R-squared Mediation Effect Size.mp42.11MB
192. 21. Moderation and Mediation Analysis using PROCESS Macro/42. Mediation Output Normal Theory Test for Indirect Effect.mp42.16MB
193. 21. Moderation and Mediation Analysis using PROCESS Macro/43. Mediation Output Kappa Squared and Why It is Suppressed.mp47.06MB
194. 21. Moderation and Mediation Analysis using PROCESS Macro/44. Calculating Preacher and Kelly's Kappa Squared Manually.mp440.44MB
195. 21. Moderation and Mediation Analysis using PROCESS Macro/45. APA Style Presentation of the Results of Mediation Analysis.mp412.32MB
196. 21. Moderation and Mediation Analysis using PROCESS Macro/5. Statistical Equation of Moderation.mp413.41MB
197. 21. Moderation and Mediation Analysis using PROCESS Macro/6. Understanding Mediation Direct, Indirect and Total Effects.mp411.14MB
198. 21. Moderation and Mediation Analysis using PROCESS Macro/7. Understanding Difference Between Moderation & Mediation.mp423.9MB
199. 21. Moderation and Mediation Analysis using PROCESS Macro/8. Downloading & Installing Process Macro.mp439.92MB
200. 21. Moderation and Mediation Analysis using PROCESS Macro/9. Examples of moderation Story of Infosys and Uber.mp414.97MB
201. 22. General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)/2. Introduction to (General Linear Models) GLM.mp42.95MB
202. 22. General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)/3. What are General Linear Models (GLM).mp48.3MB
203. 22. General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)/4. What are Generalized Linear Models (GLIM).mp413.91MB
204. 22. General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)/5. What are Exponential Distributions.mp49.26MB
205. 22. General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)/6. Examples and Applications of Generalized Linear Models (GLIM).mp42.89MB
206. 22. General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)/7. General Linear Models (GLM) vs Generalized Linear Models(GLIM).mp48.65MB
207. 23. One-Way Repeated Measure ANOVA/10. Understanding Roy's Largest Root.mp45.14MB
208. 23. One-Way Repeated Measure ANOVA/11. What is Sphericity Understanding Sphericity through an Example.mp49.06MB
209. 23. One-Way Repeated Measure ANOVA/12. Understanding Mauchly's Test of Sphericity.mp417.92MB
210. 23. One-Way Repeated Measure ANOVA/13. Understanding the Dataset.mp44.28MB
211. 23. One-Way Repeated Measure ANOVA/14. Formulating Research Question and Hypothesis based on Data.mp43.88MB
212. 23. One-Way Repeated Measure ANOVA/15. Understanding Within-subject Factor Naming.mp49.25MB
213. 23. One-Way Repeated Measure ANOVA/16. Understanding Measurement Name Option.mp46.72MB
214. 23. One-Way Repeated Measure ANOVA/17. Understanding Between Subject Factor and Covariate Options.mp48.25MB
215. 23. One-Way Repeated Measure ANOVA/18. Understanding Preliminary Output.mp42.18MB
216. 23. One-Way Repeated Measure ANOVA/19. Model Full Factorial, BuildCustom Terms & Main and Interaction Effects.mp477.21MB
217. 23. One-Way Repeated Measure ANOVA/2. What is Repeated Measure Design (Example 1 Depression Study).mp45.59MB
218. 23. One-Way Repeated Measure ANOVA/20. Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares.mp4160.79MB
219. 23. One-Way Repeated Measure ANOVA/21. Contrast Simple, Polynomial, Repeated, Deviation, Difference, Helmert.mp4221.45MB
220. 23. One-Way Repeated Measure ANOVA/22. Defining Plots Exploring All Options.mp4188.12MB
221. 23. One-Way Repeated Measure ANOVA/23. Introduction to Post-hoc Tests Two Families of Tests.mp4107.72MB
222. 23. One-Way Repeated Measure ANOVA/24. When to Use Tukey's and Scheffe's Tests.mp430.02MB
223. 23. One-Way Repeated Measure ANOVA/25. Explaining Bonferroni correction.mp443.41MB
224. 23. One-Way Repeated Measure ANOVA/26. Explaining LSD Test.mp422.33MB
225. 23. One-Way Repeated Measure ANOVA/27. Tukey,s HSD, Tukey's WSD and SNK Test.mp4158.44MB
226. 23. One-Way Repeated Measure ANOVA/28. Waller-Duncan, Dunnett’s T, Scheffe, Sidak, Duncan, and Hochberg Gabriel’s Test.mp4172.06MB
227. 23. One-Way Repeated Measure ANOVA/29. Games Howell, Tamhane's T2 and T3 Tests Non-parametric Post-hoc Tests.mp487.63MB
228. 23. One-Way Repeated Measure ANOVA/3. What is Repeated Measure Design (Example 2 Performance under Noise Study).mp44.35MB
229. 23. One-Way Repeated Measure ANOVA/4. What is Repeated Measure Design (Example 3 Control Group Study).mp42.7MB
230. 23. One-Way Repeated Measure ANOVA/5. Should I do Repeated Measure ANOVA or Paired Sample t-test.mp42.06MB
231. 23. One-Way Repeated Measure ANOVA/6. Assumptions of Repeated Measure ANOVA.mp48.81MB
232. 23. One-Way Repeated Measure ANOVA/7. Explaining Multivariate Tests.mp45.86MB
233. 23. One-Way Repeated Measure ANOVA/8. Understanding Pillai's Trace & Wilk's Lambda.mp416.96MB
234. 23. One-Way Repeated Measure ANOVA/9. Understanding Hotelling's Trace.mp42.61MB
235. 24. Correlations/1. Introduction to Correlation.mp43.34MB
236. 24. Correlations/10. Calculation of r Z-Score Formula.mp49.01MB
237. 24. Correlations/11. Calculation of r Raw Score Formula.mp46.68MB
238. 24. Correlations/12. Calculation of r Co-variance Formula.mp46.27MB
239. 24. Correlations/13. Manual Calculation of r using Raw Score Method.mp46.96MB
240. 24. Correlations/14. Importance of Correlation Coefficient.mp44.45MB
241. 24. Correlations/15. Spurious Correlations Correlation does not signify causation.mp411.87MB
242. 24. Correlations/16. Pearson Correlation as a Coefficient of Variability (R-squared).mp410.43MB
243. 24. Correlations/17. Calculation of r in SPSS Checking Assumptions.mp451.14MB
244. 24. Correlations/18. Calculation of r in SPSS Understanding Pearson, Two tailed, and Bootstrapping.mp415.71MB
245. 24. Correlations/19. Interpretation of Output of r.mp43.09MB
246. 24. Correlations/2. What is Correlation.mp42.84MB
247. 24. Correlations/20. Bootstrapping the Correlation Coefficient (r).mp46.75MB
248. 24. Correlations/21. Writing Output of r in APA style.mp438.13MB
249. 24. Correlations/22. Fixing the Bootstrap Bug in SPSS 25.mp433.2MB
250. 24. Correlations/23. Introduction to Biserial and Point Biserial Correlations.mp48.1MB
251. 24. Correlations/24. When to Use Biserial and When to Use Point Biserial Corrleation.mp413.54MB
252. 24. Correlations/25. Calculation and Interpretation of Biserial Correlation in SPSS.mp412.03MB
253. 24. Correlations/26. APA Style Reporting of Biserial Correlation Output.mp43.03MB
254. 24. Correlations/27. Exercise Calculating a Point Biserial Correlation between Gender and Salary.mp45.14MB
255. 24. Correlations/28. How to Calculate Point Biserial Corrleation in SPSS.mp47.05MB
256. 24. Correlations/29. How to Interpret Point Biserial Corrleation in SPSS.mp417.98MB
257. 24. Correlations/3. Types of Correlations Positive and Negative Correlations.mp47.87MB
258. 24. Correlations/30. How to Report Point Biserial Correlation Output in APA style.mp413.16MB
259. 24. Correlations/31. Introduction to Spearman's Rank Order Correlation Coefficient (Rho).mp41.19MB
260. 24. Correlations/32. When to Use Rank Order Correlation Coefficient Four Examples.mp48.95MB
261. 24. Correlations/33. Who gave Rho and How it is Denoted.mp41.1MB
262. 24. Correlations/34. Assumptions of Spearman's Rank Order Correlation Coefficient.mp417.27MB
263. 24. Correlations/35. Understanding the formula Rho and Ranking Method.mp415.56MB
264. 24. Correlations/36. How to deal with Tied Ranks while Calculating Rho.mp49.09MB
265. 24. Correlations/37. Should I Rank My Variables First then calculate Rho.mp41.52MB
266. 24. Correlations/38. Calculating and Interpreting Rho in SPSS.mp48.62MB
267. 24. Correlations/39. Rho is r on Ranked Data Proof.mp411.97MB
268. 24. Correlations/4. Understanding Correlation coefficient and its Range.mp47.28MB
269. 24. Correlations/40. APA style Reporting of Spearman's Rank Order Correlation Coefficient.mp46.91MB
270. 24. Correlations/5. Which Correlation Coefficient to Use and When.mp415.98MB
271. 24. Correlations/6. Introduction to Pearson's Correlation Origin, Use & Why its so Popular.mp47.56MB
272. 24. Correlations/7. Why it is Called Product Moment Correlation Coefficient.mp47.32MB
273. 24. Correlations/8. Assumptions of Pearson's Product Moment Correlation.mp422.36MB
274. 24. Correlations/9. Calculation of r Deviation Score formula.mp43.87MB
275. 25. Measures of Association/1. Introduction What is Difference between Association and Correlation.mp49.04MB
276. 25. Measures of Association/10. Kendall's Tau b and Tau c Introduction and When to Use Them.mp49.09MB
277. 25. Measures of Association/11. Kendall's Tau b Formula.mp42.42MB
278. 25. Measures of Association/12. Kendall's Tau c Formula and When to Use.mp45.45MB
279. 25. Measures of Association/13. Kendall's Tau a, Tau b, Tau c, and Kendall's W A Comparison of Usage.mp45.61MB
280. 25. Measures of Association/14. Kendall's Tau b in SPSS Checking Tied Ranks.mp44.58MB
281. 25. Measures of Association/15. Kendall's Tau b APA Style Reporting.mp45.82MB
282. 25. Measures of Association/16. Kendall's Tau c Assumption Checking.mp411.76MB
283. 25. Measures of Association/17. Kendall's Tau c Calculation and Interpretation in SPSS.mp411.79MB
284. 25. Measures of Association/18. Kendall's Tau c APA Style Reporting.mp43.81MB
285. 25. Measures of Association/19. Kendall's W Introduction and When to Use.mp414.32MB
286. 25. Measures of Association/2. Understanding Concordant and Discordant Pairs.mp418.11MB
287. 25. Measures of Association/20. Kendall's W Understanding the Formula.mp44.45MB
288. 25. Measures of Association/21. Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box).mp421.78MB
289. 25. Measures of Association/22. Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box).mp418.36MB
290. 25. Measures of Association/23. Kendall's W APA Style Output Reporting.mp47.36MB
291. 25. Measures of Association/3. Understanding Pairs by Column and Rows Calculation.mp411.56MB
292. 25. Measures of Association/4. Introduction to Kendall's Tau.mp41.73MB
293. 25. Measures of Association/5. When to Use Kendall's Tau instead of Spearman's Rho.mp46.51MB
294. 25. Measures of Association/6. Assumptions of Kendall's Tau.mp417.49MB
295. 25. Measures of Association/7. Range and Interpretation of Kendall's Tau.mp42.94MB
296. 25. Measures of Association/8. Types of Kendall's Tau Coefficients Tau a, Tau b, Tau c & Kendall's W.mp42.07MB
297. 25. Measures of Association/9. Kendall's Tau a Concept, When to use and Formula.mp45.55MB
298. 26. Bug Fixing in SPSS/1. Fixing the Bootstrap Bug in SPSS 25.mp433.24MB
299. 27. Assignments/3. Assignment 1 Explanation of Que 1, 2 and 3.mp4234.14MB
300. 27. Assignments/4. Assignment 1 Explanation of Que 4, 5, 6, 7 and 8.mp4254.72MB
301. 27. Assignments/5. Assignment 1 Explanation of Que 9 and 10.mp4171.01MB
302. 28. ANCOVA One-Way Analysis of Covariance/1. Introduction What is ANCOVA and When to Use It.mp432.68MB
303. 28. ANCOVA One-Way Analysis of Covariance/10. Explaining Options Model Sum of Squares and Contrast.mp463.78MB
304. 28. ANCOVA One-Way Analysis of Covariance/11. Explaining Options Plots.mp445.71MB
305. 28. ANCOVA One-Way Analysis of Covariance/12. Explaining Options Estimated Marginal (EM) Means.mp450.51MB
306. 28. ANCOVA One-Way Analysis of Covariance/13. Explaining Options Compare Main Effects (LSD, Bonferroni, Sidak) & SAVE.mp435.6MB
307. 28. ANCOVA One-Way Analysis of Covariance/14. Options Descriptives, Effect Size Parameter Estimates Homogeneity Test Residual.mp487.89MB
308. 28. ANCOVA One-Way Analysis of Covariance/15. Explaining Output Part 1.mp4109.59MB
309. 28. ANCOVA One-Way Analysis of Covariance/16. Explaining Output Part 2.mp4102.92MB
310. 28. ANCOVA One-Way Analysis of Covariance/17. APA Style Presentation of ANCOVA Results.mp459.19MB
311. 28. ANCOVA One-Way Analysis of Covariance/2. What is meaning of covariate Does it mean control.mp412.24MB
312. 28. ANCOVA One-Way Analysis of Covariance/3. Ways of ANCOVA and Requirements for Doing ANCOVA.mp427.45MB
313. 28. ANCOVA One-Way Analysis of Covariance/4. Understanding Assumptions and Dataset.mp492.2MB
314. 28. ANCOVA One-Way Analysis of Covariance/5. Study Design and Dataset.mp440.75MB
315. 28. ANCOVA One-Way Analysis of Covariance/6. Understanding Options DV, Fixed Factors and Random Factors.mp4124.14MB
316. 28. ANCOVA One-Way Analysis of Covariance/7. Understanding Covariates and WLS weight and why Post-hoc Button Gets Inactive.mp433.15MB
317. 28. ANCOVA One-Way Analysis of Covariance/8. Testing Assumptions.mp4205.78MB
318. 28. ANCOVA One-Way Analysis of Covariance/9. Importance of Controlling Covariate.mp445.75MB
319. 29. Python for SPSS Users/1. Why Social Scientists Should Learn Programming.mp430.34MB
320. 29. Python for SPSS Users/10. What is Data.mp47.66MB
321. 29. Python for SPSS Users/11. What are data Types.mp435.49MB
322. 29. Python for SPSS Users/12. What are Data Structures.mp420.18MB
323. 29. Python for SPSS Users/13. Data Types vs. Data Structures in Python.mp440.92MB
324. 29. Python for SPSS Users/14. Primitive Data Types in Python.mp421.91MB
325. 29. Python for SPSS Users/15. Non-Primitive Data Types Lists, Stack, Queue, Map.mp452.16MB
326. 29. Python for SPSS Users/16. Non-Primitive Data Types Tupple, Set, Frozen Set, Dictionary.mp471.41MB
327. 29. Python for SPSS Users/17. Arithmetical Options in Python Using Python as a Calculator.mp4104.59MB
328. 29. Python for SPSS Users/18. Unit- Print Function Impressing Guide -Printing a Name Million Times in Seconds.mp498.24MB
329. 29. Python for SPSS Users/19. Learning to Print a Paragraph in Python.mp433.24MB
330. 29. Python for SPSS Users/2. Programmability Options in SPSS Python, R and Visual Basic.mp435.72MB
331. 29. Python for SPSS Users/20. Printing a Text Pattern in Python.mp431.13MB
332. 29. Python for SPSS Users/21. Clearing Screen How to Define Clear Screen Function in Pycharm.mp463.65MB
333. 29. Python for SPSS Users/22. Unit Functions in Python - List of Built in Functions.mp413.38MB
334. 29. Python for SPSS Users/23. Input Function.mp4102.45MB
335. 29. Python for SPSS Users/24. Min and Max Functions.mp424.77MB
336. 29. Python for SPSS Users/3. Installing and Running Python.mp445.67MB
337. 29. Python for SPSS Users/4. Accessing Python from SPSS.mp430.24MB
338. 29. Python for SPSS Users/5. Understanding Extension Bundle Option.mp430.24MB
339. 29. Python for SPSS Users/6. Three Rules of Writing Python Programme.mp450.75MB
340. 29. Python for SPSS Users/7. Your First Python Programme in SPSS Hello World.mp479.59MB
341. 29. Python for SPSS Users/8. Unit Basic Concepts - Understanding Variables and Operators.mp449.29MB
342. 29. Python for SPSS Users/9. Data Types in Python.mp42.68MB
343. 5. Conceptual Foundation of Statistics/1. Statistics Definition and Types.mp49.11MB
344. 5. Conceptual Foundation of Statistics/2. Parametric vs Non-Parametric Statistics Assumptions.mp421.25MB
345. 6. Data Entry Learning to Enter Data in SPSS/1. Conceptualizing Variables IV, DV, Control, Moderators & Mediating Variables.mp415.07MB
346. 6. Data Entry Learning to Enter Data in SPSS/10. Defining Values & Labels.mp415.85MB
347. 6. Data Entry Learning to Enter Data in SPSS/11. Defining Missing Values Discrete, Range & System-Missing Values.mp421.53MB
348. 6. Data Entry Learning to Enter Data in SPSS/12. Setting Columns & Alignment.mp413.57MB
349. 6. Data Entry Learning to Enter Data in SPSS/13. Defining Measures Scales of Measurement.mp425.47MB
350. 6. Data Entry Learning to Enter Data in SPSS/2. Variable Type Numeric Defining Names, Width, Decimal & Labels for variables.mp419.46MB
351. 6. Data Entry Learning to Enter Data in SPSS/3. Variable Type Comma & Dot.mp423.11MB
352. 6. Data Entry Learning to Enter Data in SPSS/4. Variable Type Scientific Notation.mp410.25MB
353. 6. Data Entry Learning to Enter Data in SPSS/5. Variable Type Date and Time Stamps.mp412.18MB
354. 6. Data Entry Learning to Enter Data in SPSS/6. Variable Type Dollar.mp47.75MB
355. 6. Data Entry Learning to Enter Data in SPSS/7. Variable Type Custom Currency.mp415.44MB
356. 6. Data Entry Learning to Enter Data in SPSS/8. Variable Type String.mp49.65MB
357. 6. Data Entry Learning to Enter Data in SPSS/9. Variable Type Restricted Numeric.mp413.21MB
358. 7. Working with Various File Types in SPSS/1. Types of Data Files in SPSS Statistics.mp431.47MB
359. 7. Working with Various File Types in SPSS/2. Opening an Excel data file in SPSS.mp431.62MB
360. 7. Working with Various File Types in SPSS/3. Opening a Comma Separated or CSV file type in SPSS.mp425.85MB
361. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/10. Recode into Same Variable.mp457.97MB
362. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/2. COMPUTE VARIABLE function What it is and What it can do for us.mp47.13MB
363. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/3. Calculating Total using COMPUTE function.mp426.77MB
364. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/4. Exercise Try COMPUTE using IF.mp49.73MB
365. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/5. Exercise Solution COMPUTE using IF.mp414.19MB
366. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/6. RECODE FUNCTION Why to Recode Variable.mp431.66MB
367. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/7. Why We have Two RECODE Functions.mp46.96MB
368. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/8. How to do RECODE INTO DIFFERENT VARIABLE in SPSS.mp429.54MB
369. 8. Data Transformation in SPSS RECODE and Other Transformation Functions/9. COMPUTING Total After RECODE.mp47.7MB
370. 9. Descriptive Statistics using SPSS/1. Setting Data for Descriptive Analysis.mp413.88MB
371. 9. Descriptive Statistics using SPSS/10. Explore Option Interpreting Groupwise Mean and 95% Confidence Interval of Mean.mp412.65MB
372. 9. Descriptive Statistics using SPSS/11. 5% Trimmed Mean Concept, Use & Interpretation.mp43.94MB
373. 9. Descriptive Statistics using SPSS/12. Explore Median, Standard Deviation, Variance, Minimum, Maximum, & Range.mp45.76MB
374. 9. Descriptive Statistics using SPSS/13. Quartiles and Inter-Quartile Range using Explore Option.mp48.74MB
375. 9. Descriptive Statistics using SPSS/14. Skewness and Kurtosis Fundamentals Explained.mp47.72MB
376. 9. Descriptive Statistics using SPSS/15. Calculating & Interpreting Significance Level of Skewness.mp415.5MB
377. 9. Descriptive Statistics using SPSS/16. Kurtosis Calculation, Interpretation and Understanding Significance Level.mp411.37MB
378. 9. Descriptive Statistics using SPSS/17. Standard Error of Mean Concept, Calculation & Interpretation.mp46.01MB
379. 9. Descriptive Statistics using SPSS/2. Types of Descriptive Statistics.mp418.37MB
380. 9. Descriptive Statistics using SPSS/3. Understanding Three Different Descriptive Tabs in SPSS.mp419.65MB
381. 9. Descriptive Statistics using SPSS/4. Calculating Frequencies.mp439.86MB
382. 9. Descriptive Statistics using SPSS/5. Descriptives Analysis Using Crosstab.mp411.39MB
383. 9. Descriptive Statistics using SPSS/6. Measures of Central Tendency Mean, Median, Mode - Concept and Uses.mp410.57MB
384. 9. Descriptive Statistics using SPSS/7. Calculating and Interpreting Mean, Median & Mode.mp415.63MB
385. 9. Descriptive Statistics using SPSS/8. Confirming Mode with Frequencies.mp48.2MB
386. 9. Descriptive Statistics using SPSS/9. Explore Option Calculating Grouped Descriptives.mp427.26MB