Docker and Kubernetes guide

Course content

Sections: 8

•

Activities: 0

•

Resources: 655

1 What is expected from students to understand this course
2 Lets build our foundation About machines
3 Lets build our foundation About applications
4 The advent of virtual machine
5 The advent of containers
6 What is Docker
7 Docker Installation
8 Setting up Docker on Windows
9 Setting up Docker on macOS
10 There is a lot more that we need to cover
003 Conceptualizing Variables IV DV Control Moderators Mediating Variables MnaK gitir
004 Variable Type Numeric Defining Names Width Decimal Labels for variables aBTb gitir
005 Variable Type Comma Dot ekBl gitir
006 Variable Type Scientific Notation UdNj gitir
007 Variable Type Date and Time Stamps lNP1 gitir
008 Variable Type Dollar 3blW gitir
009 Variable Type Custom Currency taat gitir
010 Variable Type String 5OJf gitir
011 Variable Type Restricted Numeric L0Vd gitir
012 Defining Values Labels wOmr gitir
013 Defining Missing Values Discrete Range System Missing Values cAA4 gitir
014 Setting Columns Alignment 7Jox gitir
015 Defining Measures Scales of Measurement kRW0 gitir
016 Types of Data Files in SPSS Statistics ajIZ gitir
017 Opening an Excel data file in SPSS gn5J gitir
018 Opening a Comma Separated or CSV file type in SPSS qrDT gitir
020 COMPUTE VARIABLE function What it is and What it can do for us OWXK gitir
021 Calculating Total using COMPUTE function gr61 gitir
022 Exercise Try COMPUTE using IF pL1Y gitir
023 Exercise Solution COMPUTE using IF alHC gitir
024 RECODE FUNCTION Why to Recode Variable cS7p gitir
025 Why We have Two RECODE Functions Vkhq gitir
026 How to do RECODE INTO DIFFERENT VARIABLE in SPSS YocR gitir
027 COMPUTING Total After RECODE SsOs gitir
028 Recode into Same Variable ZTMf gitir
029 Setting Data for Descriptive Analysis 4eYn gitir
030 Types of Descriptive Statistics wQqM gitir
031 Understanding Three Different Descriptive Tabs in SPSS CBSl gitir
032 Calculating Frequencies cauY gitir
033 Descriptives Analysis Using Crosstab 4xBx gitir
034 Measures of Central Tendency Mean Median Mode Concept and Uses Vjkn gitir
035 Calculating and Interpreting Mean Median Mode Qygb gitir
036 Confirming Mode with Frequencies qD6C gitir
037 Explore Option Calculating Grouped Descriptives c7zw gitir
038 Explore Option Interpreting Groupwise Mean and 95 Confidence Interval of Mean YjRK gitir
039 5 Trimmed Mean Concept Use Interpretation 81hE gitir
040 Explore Median Standard Deviation Variance Minimum Maximum Range FZ4h gitir
041 Quartiles and Inter Quartile Range using Explore Option iq5a gitir
042 Skewness and Kurtosis Fundamentals Explained foVT gitir
043 Calculating Interpreting Significance Level of Skewness NLLV gitir
044 Kurtosis Calculation Interpretation and Understanding Significance Level 1Vzx gitir
045 Standard Error of Mean Concept Calculation Interpretation 5dxt gitir
046 Descriptive Analysis Population Descriptives PvEk gitir
047 Independent sample t test Defining input options Lpbk gitir
048 Independent sample t test Interpreting descriptive output Mean SD SE AVOn gitir
049 Independent Sample t test Interpreting Levene s test t p SE 95 CI njjP gitir
050 APA Style write up for Independent Sample t test rGPs gitir
051 When to use Paired Sample t test Vk3Q gitir
052 Calculating Paired Sample t test in SPSS aXTp gitir
053 Interpreting Paired Sample t test Output mNBy gitir
054 APA Style write up for Paired Sample t test hqwB gitir
055 When to Use One Way ANOVA bsaQ gitir
056 Calculating One Way ANOVA in SPSS oRJ4 gitir
057 Interpreting ANOVA output Descriptive Statistics YHSR gitir
058 Interpreting Output ANOVA Summary Table j4qg gitir
059 Doing Post hoc analysis in ANOVA Homogeneity of Variance Test Post hoc 3drB gitir
060 Trend Analysis Means Plot in ANOVA oYC0 gitir
061 Contrast Analysis in ANOVA QgrM gitir
062 What is regression Xljr gitir
063 When to Use Linear Regression Vs Multiple Regression YN0k gitir
064 Defining SPSS Input Options for Linear Regression GBIH gitir
065 Interpreting Linear Regression Output Variables Model Summary zNaS gitir
066 Interpreting Linear Regression Output Constant B Beta SE t KFy1 gitir
067 What is Multiple Regression h1Zy gitir
068 Assumptions of Multiple Regression Linearity Testing Linearity in SPSS BCll gitir
069 Assumptions 2 Independence of Errors Lack of Autocorrelations Testing in SPSS Gwbr gitir
070 Assumptions 3 Homoscedasticity of Errors Testing it in SPSS xIzx gitir
071 Assumptions 4 Multivariate Normality Testing it in SPSS Q8D1 gitir
072 Assumptions 5 Multicollinearity Testing it in SPSS 8xMm gitir
073 Choosing a Method of Multiple Regression Enter Method v6MZ gitir
074 Choosing a Method of Multiple Regression Stepwise and Forward Selection Method XCec gitir
075 Choosing a Method of Multiple Regression Backward Elimination Method DHI3 gitir
076 Running Stepwise and Forward Selection Method of Regression in SPSS 57zF gitir
077 Choosing a Method of Multiple Regression Remove Method HzGQ gitir
078 What is Hierarchical Regression Analysis and when to use it oqCz gitir
079 Setting Data and Defining Model in Hierarchical Regression 8Hvy gitir
080 Refining Model and Detecting Multicollinearity through Correlation Matrix R1H9 gitir
081 Taming Bad Data Using beta R squared and p values to further refine model 6Pk2 gitir
082 Interpreting the Output of Hierarchical Regression wNDx gitir
084 What is Factor Analysis C1RV gitir
085 Understanding Latent Variables and Indicators in FA C6dl gitir
086 Sample Researches Using FA in Social Science Engineering uBU5 gitir
087 Historical Origin of FA Its Application in Test Construction 7hGJ gitir
088 Exploratory Factor Analysis vs Confirmatory Factor Analysis EFA vs CFA Pcg2 gitir
089 Setting Data for Factor Analysis v2J9 gitir
090 Understanding Selection Variable Mncd gitir
091 Univariate Descriptives Initial Solutions Descriptive s9KX gitir
092 Correlation Matrix Coefficients Significance Determinant KMO Bartlett s Ao7F gitir
093 Understanding Inverse Reproduced Anti Image v3ph gitir
094 Extraction Method Principle Component Analysis ddo3 gitir
095 Extraction Method Principle Axis Factoring riEV gitir
096 Extraction Method Maximum Likelihood Estimation oZjg gitir
097 Choosing Correlation vs Covariance Matrix for Factor Analysis QLIU gitir
098 Interpreting Correlation Matrix Unrotated Factor Solution juK1 gitir
099 Determining number of factors Scree Plot vs Kaiser s eigen value criteria 0tDk gitir
100 Factor Rotation What it is and why its done ReAW gitir
101 Rotation Methods Varimax Quartimax Equamax Direct Oblimin Promax OYMU gitir
102 Calculating Factor Scores Regression Bartlett Anderson Rubin a4Mu gitir
103 Factor Score Coefficient Matrix h04N gitir
104 Missing Value Analysis Listwise Pairwise Replace with Mean fpQC gitir
105 Sort by Size Suppressing Smaller Coefficients CSE8 gitir
106 Project in Factor Analysis Part 1 Identifying Dimensions of Personality rgfq gitir
107 Project in Factor Analysis Part 2 Identifying Dimensions of Personality YkE5 gitir
108 Project in Factor Analysis Part 3 Identifying Dimensions of Personality ThST gitir
109 Project in Factor Analysis Part 4 Factor Naming uJol gitir
110 Project in Factor Analysis Part 5 Reliability Analysis of Factors of2P gitir
111 Project in Factor Analysis Part 6 Presenting Results in APA Style Jl1P gitir
112 Chi Square Test Introduction and When to Use Chi Square Test oO24 gitir
113 Assumptions of Chi square Test UalU gitir
114 Formula for Calculation of Chi Square Test NJE1 gitir
115 Setting Data for Calculation of Chi Square using Crosstabs Option qi8o gitir
116 Testing Assumptions of Chi Square test Using Crosstabs Option ktV0 gitir
117 Interpreting Output of Chi Square Test and APA Style Reporting XMZg gitir
118 One way Chi Square When to use and how its different from two way Chi square hwGL gitir
119 Setting Data for One way Chi Square Test m5GO gitir
120 Weigh Cases Calculation Interpretation APA Write up for One Way Chi Square O0i5 gitir
121 Practice Data set for One Way Chi square KFSm gitir
122 Introduction to Reliability Analysis eNXW gitir
123 What is Reliability xegb gitir
124 Reflective vs Formative Models of Scale c9dj gitir
125 Should We Report Cronbach s Alpha or Composite Reliability Ytq4 gitir
126 Type of Reliability Test Retest Reliability hxkT gitir
127 Type of Reliability Parallel Form 2wwx gitir
128 Type of Reliability Internal Consistency Reliability v6MG gitir
129 Understanding Cronbach s Alpha JymE gitir
130 Assumptions of Cronbach s Alpha l0YI gitir
131 Formula of Cronbach s Alpha ZXJN gitir
132 Range of Cronbach s Alpha F8sR gitir
133 Calculating Reliability Understanding Scale if an Item is Deleted Option w8Hd gitir
134 Interpreting Case Processing Summary Alpha Coefficient P1cN gitir
135 Improving Reliability of a Scale Diagnosing Missing Values JUOO gitir
136 Improving Reliability Diagnosing Scale Mean and Variances bfyE gitir
137 Improving Reliability Diagnosing Item Total Correlations DVr5 gitir
138 Improving Reliability Removing Ambiguous and Redundant Items 6ENi gitir
139 Item Discrimination Index Ndqz gitir
140 1 What is Logistic Regression nYM9 gitir
142 2 Understanding the Logistic Regression Model DbUw gitir
143 3 Understanding and Logistic Regression Model Shape Logit and Probabilities TV8E gitir
144 4 Understanding the Equation of Logistic Regression qUzB gitir
145 5 Requirements for Logistic Regression Analysis W90l gitir
146 6 Assumptions of Logistic Regression Omk1 gitir
147 7 Concept of Odd Ratios in Brief ObCU gitir
148 8 Setting Data and Understanding the Data File YYbE gitir
149 9 How to Code the Binary Dependent Variable in Logistic Regression uq4k gitir
150 10 Understanding Block Option and Interaction Option kH4V gitir
151 11 Selecting Method and Coding Categorical Variable as Dummy Variable LoVw gitir
152 12 Understanding Save Option Predicted Probabilities Group Membership aJZ9 gitir
153 13 Understanding Save Option Influence Cook s Distance DFBeta Options jdbv gitir
154 14 Understanding Save Residuals Standardized 3ehS gitir
155 15 Understanding Classification Plots Option tHSK gitir
156 16 Understanding Hosmer Lemeshow Goodness of Fit Test Option qfVx gitir
157 17 Understanding Case wise Listing of Residuals MBcC gitir
158 Understanding Correlation of Estimates Option ma5W gitir
159 Understanding Iteration History Option iszL gitir
160 Understanding CI for Exp B Option gHKR gitir
161 Including Constant in Model hIlV gitir
162 Understanding Classification Cutoff 5 Bootstrapping y9M6 gitir
163 Output Understanding Case Processing Summary Dummy Variable Coding XNKM gitir
164 Output Understanding Block 0 vs Other Blocks Iteration History 2Lqb gitir
165 Output Understanding 2 Log Likelihood R squares Cox n Snell Negelkerke 2JF2 gitir
166 Output Understanding Classification Table Sensitivity Specificity ygYW gitir
167 Output Variables in Equation Baseline Model Interpretation 4Mqg gitir
168 Output Hosmer Lemeshow Contingency Table for Baseline Model Tv2u gitir
169 Output Interpretation of Hosmer Lemeshow Test for Default Model TPpJ gitir
170 Output Interpreting Variables in Equation for Default Model yJrk gitir
171 Output Interpreting Wald s Test for Default Model aVGR gitir
172 Odd Ratios in Depth Part 1 Fundamentals Derivation Calculation Sycm gitir
173 Odd Ratios in Depth Part 2 Calculating Odds of Lung Cancer w Smoking LtUb gitir
174 Interpreting Odd Ratios in Variables in Equation Table u9dc gitir
175 Interpreting Correlation Table and Understanding Multi collinearity Fvnu gitir
176 Classification Plot Interpretation Application 2FEy gitir
177 Interpreting Case wise Listing of Residuals Output WoId gitir
178 Interpreting Predicted Probabilities and Group Membership sGer gitir
179 Interpreting Cook s Distance and DFBeta H5gj gitir
180 Interpreting Omnibus Test Output BRBm gitir
181 Explaining Pseudo R Squares 2Log Likelihood Cox Snell and Negelkerke atYS gitir
182 Writing Final equation of Logistic Regression Manually BGp9 gitir
183 APA Style Presentation of Table and Results IJNh gitir
184 Introduction to Mediation and Moderation Analysis e99o gitir
186 Understanding Moderation analysis and its Regression Model I gpDr gitir
187 Understanding Moderation analysis and its Regression Model II tB9l gitir
188 Statistical Equation of Moderation 7YE0 gitir
189 Understanding Mediation Direct Indirect and Total Effects 7l7I gitir
190 Understanding Difference Between Moderation Mediation 0dn0 gitir
191 Downloading Installing Process Macro 1ko2 gitir
192 Examples of moderation Story of Infosys and Uber mRvd gitir
193 Whats is Mediation Understanding a Mediation Model JX6C gitir
194 Whats is Full n Partial Mediation alB0 gitir
195 Understanding Direct Indirect Total Effects TV7W gitir
196 What is Sobel Test Cpui gitir
197 Partially Standardized vs Completely Standardized Indirect Effects riCH gitir
198 Understanding Ratios of Indirect effect Indirect to Total vs Indirect to Direct 7qFB gitir
199 What is Proportion of Variance Explained by Indirect Effect kQfm gitir
200 Moderation analysis Dataset Hypothesis Development GUom gitir
201 Understanding Model Numbers Tv81 gitir
202 Moderation Variables Bootstrapping Covariates Proposed Moderator W Z V Q AUCI gitir
203 Moderation Options Mean Center for Products PRR8 gitir
204 Moderation Options Heteroscedasticity Consistent SE OLS ML CI Data Plotting Ai1f gitir
205 Moderation Conditioning Johnson Neyman G5Ue gitir
206 Moderation Multi categorical QSgz gitir
207 Dealing with Long Names v1yf gitir
208 Explanation of Output of Moderation Analysis 7981 gitir
209 Plotting Moderation effect in SPSS and Excel Gp1K gitir
210 APA Style Presentation of Moderation Effect Chart and Table XbFb gitir
211 Conceptual Model of Mediation Does Glucose Mediates the Influence of Diabetes 0XVS gitir
212 Checking Suitability of Data for Mediation Analysis iYgJ gitir
213 Mediation M Variables Model Number Bootstrap Sample and Covariates o3Tn gitir
214 Mediation Options OLS ML Confidence Interval Effect Size Wais gitir
215 Mediation Option Sobel Test E5Lf gitir
216 Mediation Options Total Effect Model Compare Indirect Effect Print Model Cov 6Wce gitir
217 Mediation Conditioning Multi categorical and Long Names mwXL gitir
218 Mediation Output Understanding Covariance Matrix Output jZu4 gitir
219 Explaining Mediation Output Part 1 KMuh gitir
220 Explaining Mediation Output Part 2 MBny gitir
221 Explaining Mediation Output Part 3 tHsB gitir
222 Mediation Output Partially and Fully Standardized Indirect Effects qW2Z gitir
223 Mediation Output Ratio of Indirect to Total Effect Indirect to Direct Effect vSBz gitir
224 Mediation Output R squared Mediation Effect Size wdXw gitir
225 Mediation Output Normal Theory Test for Indirect Effect uOvL gitir
226 Mediation Output Kappa Squared and Why It is Suppressed NMGZ gitir
227 Calculating Preacher and Kelly s Kappa Squared Manually 8XiC gitir
228 APA Style Presentation of the Results of Mediation Analysis 0DBK gitir
231 Introduction to General Linear Models GLM vPFm gitir
232 What are General Linear Models GLM ApMF gitir
233 What are Generalized Linear Models GLIM nqLu gitir
234 What are Exponential Distributions x1Di gitir
235 Examples and Applications of Generalized Linear Models GLIM U4fq gitir
236 General Linear Models GLM vs Generalized Linear Models GLIM kgBq gitir
238 What is Repeated Measure Design Example 1 Depression Study cxH4 gitir
239 What is Repeated Measure Design Example 2 Performance under Noise Study M3Qw gitir
240 What is Repeated Measure Design Example 3 Control Group Study kxHc gitir
241 Should I do Repeated Measure ANOVA or Paired Sample t test qVdZ gitir
242 Assumptions of Repeated Measure ANOVA RjXp gitir
243 Explaining Multivariate Tests k7La gitir
244 Understanding Pillai s Trace Wilk s Lambda M3GN gitir
245 Understanding Hotelling s Trace 6hg4 gitir
246 Understanding Roy s Largest Root VEpd gitir
247 What is Sphericity Understanding Sphericity through an Example 1yBm gitir
248 Understanding Mauchly s Test of Sphericity rN89 gitir
249 Understanding the Dataset 2ovH gitir
250 Formulating Research Question and Hypothesis based on Data FNHf gitir
251 Understanding Within subject Factor Naming FGfQ gitir
252 Understanding Measurement Name Option 4UDW gitir
253 Understanding Between Subject Factor and Covariate Options 2WSy gitir
254 Understanding Preliminary Output Feyq gitir
255 Model Full Factorial Build Custom Terms Main and Interaction Effects sfzO gitir
256 Explaining TYPE I Type II Type III and Type IV Sum of Squares qkcT gitir
257 Contrast Simple Polynomial Repeated Deviation Difference Helmert MdTL gitir
258 Defining Plots Exploring All Options W9KX gitir
259 Introduction to Post hoc Tests Two Families of Tests cm3R gitir
260 When to Use Tukey s and Scheffe s Tests SnNn gitir
261 Explaining Bonferroni correction ljoi gitir
262 Explaining LSD Test dT74 gitir
263 Tukey s HSD Tukey s WSD and SNK Test 4f8K gitir
264 Waller Duncan Dunnetts T Scheffe Sidak Duncan and Hochberg Gabriels Test StcS gitir
265 Games Howell Tamhane s T2 and T3 Tests Non parametric Post hoc Tests 23aR gitir
266 Introduction to Correlation uLGD gitir
267 What is Correlation Tc03 gitir
268 Types of Correlations Positive and Negative Correlations 4jQ8 gitir
269 Understanding Correlation coefficient and its Range HqC3 gitir
270 Which Correlation Coefficient to Use and When iwQv gitir
271 Introduction to Pearson s Correlation Origin Use Why its so Popular j4tM gitir
272 Why it is Called Product Moment Correlation Coefficient 3Nfm gitir
273 Assumptions of Pearson s Product Moment Correlation vgwo gitir
274 Calculation of r Deviation Score formula 3HuM gitir
275 Calculation of r Z Score Formula d9Ve gitir
276 Calculation of r Raw Score Formula 7ewE gitir
277 Calculation of r Co variance Formula mcJc gitir
278 Manual Calculation of r using Raw Score Method jqGx gitir
279 Importance of Correlation Coefficient QLOJ gitir
280 Spurious Correlations Correlation does not signify causation xJVC gitir
281 Pearson Correlation as a Coefficient of Variability R squared TRyd gitir
282 Calculation of r in SPSS Checking Assumptions txvV gitir
283 Calculation of r in SPSS Understanding Pearson Two tailed and Bootstrapping HXvC gitir
284 Interpretation of Output of r xGE8 gitir
285 Bootstrapping the Correlation Coefficient r 1IIq gitir
286 Writing Output of r in APA style FRsM gitir
287 Fixing the Bootstrap Bug in SPSS 25 Aumx gitir
288 Introduction to Biserial and Point Biserial Correlations lxCR gitir
289 When to Use Biserial and When to Use Point Biserial Corrleation hyW9 gitir
290 Calculation and Interpretation of Biserial Correlation in SPSS yGNn gitir
291 APA Style Reporting of Biserial Correlation Output mlyo gitir
292 Exercise Calculating a Point Biserial Correlation between Gender and Salary kBAz gitir
293 How to Calculate Point Biserial Corrleation in SPSS ij46 gitir
294 How to Interpret Point Biserial Corrleation in SPSS nYEK gitir
295 How to Report Point Biserial Correlation Output in APA style Yec8 gitir
296 Introduction to Spearman s Rank Order Correlation Coefficient Rho l84S gitir
297 When to Use Rank Order Correlation Coefficient Four Examples MpC5 gitir
298 Who gave Rho and How it is Denoted QYwo gitir
299 Assumptions of Spearman s Rank Order Correlation Coefficient p92u gitir
300 Understanding the formula Rho and Ranking Method hQCR gitir
301 How to deal with Tied Ranks while Calculating Rho ckhI gitir
302 Should I Rank My Variables First then calculate Rho Tq21 gitir
303 Calculating and Interpreting Rho in SPSS 7xW1 gitir
304 Rho is r on Ranked Data Proof 8CwA gitir
305 APA style Reporting of Spearman s Rank Order Correlation Coefficient Q5kO gitir
306 Introduction What is Difference between Association and Correlation VBF1 gitir
307 Understanding Concordant and Discordant Pairs mlPw gitir
308 Understanding Pairs by Column and Rows Calculation bC4M gitir
309 Introduction to Kendall s Tau FglV gitir
310 When to Use Kendall s Tau instead of Spearman s Rho eeH2 gitir
311 Assumptions of Kendall s Tau 5C0o gitir
312 Range and Interpretation of Kendall s Tau ldiV gitir
313 Types of Kendall s Tau Coefficients Tau a Tau b Tau c Kendall s W YWa0 gitir
314 Kendall s Tau a Concept When to use and Formula sDj3 gitir
315 Kendall s Tau b and Tau c Introduction and When to Use Them Pha9 gitir
316 Kendall s Tau b Formula WCYQ gitir
317 Kendall s Tau c Formula and When to Use sBoR gitir
318 Kendall s Tau a Tau b Tau c and Kendall s W A Comparison of Usage Ddwi gitir
319 Kendall s Tau b in SPSS Checking Tied Ranks zFvv gitir
320 Kendall s Tau b APA Style Reporting j6qU gitir
321 Kendall s Tau c Assumption Checking 0Uo9 gitir
322 Kendall s Tau c Calculation and Interpretation in SPSS yJNz gitir
323 Kendall s Tau c APA Style Reporting 5pLB gitir
324 Kendall s W Introduction and When to Use FHsn gitir
325 Kendall s W Understanding the Formula ngN5 gitir
326 Kendall s W in SPSS using Non Parametric Auto Dialogue Box xrG8 gitir
327 Kendall s W in SPSS using Non Parametric Legacy Dialogue Box lXUZ gitir
328 Kendall s W APA Style Output Reporting Z6jf gitir
329 Fixing the Bootstrap Bug in SPSS 25 0Aut gitir
330 Introduction What is ANCOVA and When to Use It 4c3j gitir
331 What is meaning of covariate Does it mean control YkIe gitir
332 Ways of ANCOVA and Requirements for Doing ANCOVA 9JcN gitir
333 Understanding Assumptions and Dataset heOP gitir
334 Study Design and Dataset WRN9 gitir
335 Understanding Options DV Fixed Factors and Random Factors GWIH gitir
336 Understanding Covariates and WLS weight and why Post hoc Button Gets Inactive CyBV gitir
337 Testing Assumptions Jlrl gitir
338 Importance of Controlling Covariate G5k6 gitir
339 Explaining Options Model Sum of Squares and Contrast ZZGz gitir
340 Explaining Options Plots B5Vu gitir
341 Explaining Options Estimated Marginal EM Means 30qF gitir
342 Explaining Options Compare Main Effects LSD Bonferroni Sidak SAVE OA1B gitir
343 Options Descriptives Effect Size Parameter Estimates Homogeneity Test Residual 9wZ0 gitir
344 Explaining Output Part 1 Gn1z gitir
345 Explaining Output Part 2 6f0V gitir
346 APA Style Presentation of ANCOVA Results zrw6 gitir
347 What is MANOVA Bln2 gitir
348 When to Use MANOVA y0AL gitir
349 Multivariate Test Decision Tree When to Use ANOVA MANOVA ANCOVA MANCOVA jTgb gitir
350 Assumptions of MANOVA Mwnx gitir
351 Research Questions and Study Design LwrB gitir
352 Hypotheses Development pzS8 gitir
353 Understanding MANOVA Window in SPSS jyGA gitir
354 Specifying Model Full Factorial Build Terms and Custom Terms 2qmg gitir
355 Understanding Model Sum of Squares DwCl gitir
356 What is Contrast H0mw gitir
357 Understanding Simple Contrast ZGam gitir
358 Understanding Repeated Contrast HDkK gitir
359 Understanding Polynomial Contrast 6OYJ gitir
360 Understanding Deviation Contrast mwpe gitir
361 Understanding Difference and Helmert Contrast PfBu gitir
362 Understanding Estimated Marginal Means oiMa gitir
363 Understanding SAVE Option TAtN gitir
364 Understanding Descriptives Effect Size Observed Power Noncent Parameter 9FJZ gitir
365 Understanding Parameter Estimates rbBu gitir
366 Understanding SSCP Matrix and Residual SSCP Matrix NwKV gitir
367 Understanding Transformation Matrix and Homogeneity Test LL5R gitir
368 Understanding Spread and Residual Plots zdBz gitir
369 Understanding Lack of Fit Test Sx7p gitir
370 Understanding General Estimable Function q2FM gitir
371 Why Social Scientists Should Learn Programming rpiO gitir
372 Programmability Options in SPSS Python R and Visual Basic HKOo gitir
373 Installing and Running Python uiZ0 gitir
374 Accessing Python from SPSS gak7 gitir
375 Understanding Extension Bundle Option iKo6 gitir
376 Three Rules of Writing Python Programme 34d1 gitir
377 Your First Python Programme in SPSS Hello World JVsG gitir
378 Unit Basic Concepts Understanding Variables and Operators UC2y gitir
379 Data Types in Python 12D5 gitir
380 What is Data rI9q gitir
381 What are data Types mE5N gitir
382 What are Data Structures zUeS gitir
383 Data Types vs Data Structures in Python v597 gitir
384 Primitive Data Types in Python hrrr gitir
385 Non Primitive Data Types Lists Stack Queue Map dt9h gitir
386 Non Primitive Data Types Tupple Set Frozen Set Dictionary GLWz gitir
387 Arithmetical Options in Python Using Python as a Calculator AQGd gitir
388 Unit Print Function Impressing Guide Printing a Name Million Times in Seconds 9T4d gitir
389 Learning to Print a Paragraph in Python RRlH gitir
390 Printing a Text Pattern in Python tK23 gitir
391 Clearing Screen How to Define Clear Screen Function in Pycharm Sx9X gitir
392 Unit Functions in Python List of Built in Functions gxcJ gitir
393 Input Function 3fzO gitir
394 Min and Max Functions ef4t gitir
395 Introduction and Usage rmAy gitir
396 What is Average Absolute Deviation AAD Jf2g gitir
397 What is Coefficient of Dispersion COD 6bWo gitir
398 What is Coefficient of Variation COV GXSs gitir
399 What is Price Related Bias AJoE gitir
400 What is Price Related Differential PRD E9st gitir
401 Understanding Confidence Interval of PRD and Concentration Index R8Pi gitir
402 Calculating Ratio Statistics in SPSS Hypothesis Setting Data and Choosing Op VjKl gitir
403 Interpretation of Output of Ratio Statistics 07Yg gitir
404 APA Style Write Up of Ratio Statistics hEe0 gitir
405 What is TURF Analysis and When to Use It jDUv gitir
406 Defining TURF Analysis C4Ve gitir
407 What TURF Calculates hA5M gitir
408 Who Discovered TURF Analysis g8ZN gitir
409 Assumptions of TURF Analysis Y1Zt gitir
410 Applications of TURF Analysis eyo6 gitir
411 Manual Calculation of TURF fZSR gitir
412 TURF Analysis in SPSS Understanding Input Options mBMj gitir
413 Interpreting SPSS Output of TURF Analysis Part 1 yWcr gitir
414 Interpreting SPSS Output of TURF Analysis Part 2 FGKp gitir
415 APA Style Write Up of TURF Analysis PJCw gitir
416 Introduction to Advanced Data Visualization in SPSS feaQ gitir
417 What is Meaning of a Distribution dj4n gitir
418 Understanding Statistical Distributions agQg gitir
419 Creating Frequency and Probability Distributions in SPSS I4O6 gitir
420 Understanding Fat Tail and Thin Tail Distributions 2vbx gitir
421 Difference between FAT tail and THIN Tail Distributions H9tp gitir
422 PP Plots in SPSS 1VXn gitir
423 Interpreting PP Plots in reference to the mid line KCRh gitir
424 What are QQ Plots dHYL gitir
425 Creating and Interpreting QQ Plots in SPSS j8du gitir
426 How to Use QQ Plot to improve Normality of Your Variable pTsK gitir
427 Relationship Maps in SPSS ZWiH gitir
428 Introduction to Survival Analysis U5GN gitir
429 What is Survival Analysis nOaV gitir
430 History of Survival Analysis w8oM gitir
431 Terminology Time Event and Residual Life VZ19 gitir
432 Terminology Understanding Hazard Hazard Rate and Survival Rate bDM6 gitir
433 Terminology Understanding Conditional Probability in Survival Analysis KILF gitir
434 Terminology Understanding Censored and Uncensored Data RJ8P gitir
435 Terminology Understanding Mean Time Between Failures vs Mean Time To Failure kP30 gitir
436 Purpose of Survival Analysis HVEg gitir
437 Understanding Nature of Data Required to Run Survival Analysis 9Ozj gitir
438 Types of Survival Analysis QXNk gitir
439 When to Use Kaplan Meier vs Cox Regression imD5 gitir
440 Research Examples of Kaplan Meier and Cox Regression Methods umsH gitir
441 Setting Data for Survival Analysis ckpp gitir
442 Setting Objective and Hypothesis of Your SA Research Wxiu gitir
443 Understanding Input Options of Kaplan Meier Method h6Fm gitir
444 Interpreting Case Processing Summary and Survival Tables qsH2 gitir
445 Interpreting Mean Survival Median and Percentiles o7wW gitir
446 Interpreting Pairwise Comparison hUb1 gitir
447 Interpreting Survival Function Plot KzdW gitir
448 Interpreting Survival Function with other Statistical Results hBg6 gitir
449 APA Style Report Writing of Kaplan Meier Survival Analysis g7pR gitir
450 Project in Survival Analysis Replicating a Real Study DCxX gitir
451 References on Survival Analysis Y61X gitir
453 What is Meta Analysis and Why You Should Know About It JzBq gitir
454 Relationship Between Systematic Review and Meta Analysis QvOr gitir
455 Locating Meta Analysis in the Family of Other Research Techniques 1wWz gitir
456 Is Meta Analysis is Better than Hypothesis Testing HDdm gitir
457 Outcome of Meta Analysis Effect Size Forest Plot and Publication Bias 6bJI gitir
458 Statistical Model of Meta Analysis U6Cf gitir
459 What is Effect Size Na01 gitir
460 Understanding and Calculation of Cohen s d qcpS gitir
461 Downloading and Installing Meta Analysis Package in JAMOVI Vo31 gitir
462 Types of Meta Analytic Techniques in Software Packages k5zM gitir
463 Aggregate Data AD vs Individual Participant Data IPD Meta Analysis U0kw gitir
464 Organizing Your Data for a Correlation Based Meta Analysis rpJW gitir
465 Meta Analysis in Jamovi Part 1 Data Import and Input Options g6TY gitir
466 Understanding Model Estimators w4Ap gitir
467 Understanding Fixed Effect Estimator and Its Formula proi gitir
468 Understanding Random Effect Model and When to Use Fixed Vs Random Effect Model 3wJO gitir
469 How to Troubleshoot need finite xlim values error in Jamovi 0Pd8 gitir
470 Understanding Maximum Likelihood and Restricted Maximum Likelihood Estimators 4zZ0 gitir
471 Understanding DerSimonian Laird Model Estimator 9HJ2 gitir
472 Understanding and calculation of Hedges g estimator uQf3 gitir
475 Assignment 1 Explanation of Que 1 2 and 3 8kLM gitir
476 Assignment 1 Explanation of Que 4 5 6 7 and 8 Su51 gitir
477 Assignment 1 Explanation of Que 9 and 10 KEzw gitir
478 SPSS 28 What is New zJfk gitir
479 SPSS 26 What is new U5kL gitir
480 Downloading and Installing IBM SPSS Statistics 24 on Windows vZrV gitir
481 Downloading SPSS Grad Pack Student Version Lhkf gitir