Statistics in Psychology & Education (Hindi)

   Saturday, January 11, 2025   

Starting a new Lecture Notes Series on Statistics in Psychology & Education

Youtube Lecture Playlist Credits 

Channel Name: Inculcate Learning

So Let Us Start to This Journey of Learning 

Statistics in Psychology & Education By Lecture Notes together!

Lecture 1: Class-1 Statistics in Psychology & Education | Basics of Statistics @InculcateLearning By Ravina

Lecture 2: Nominal, Ordinal, Interval, Ratio Scales | UGC NET Education/SET | Inculcate Learning | By Ravina

Lecture 3: Class-3 Types of Statistics Descriptive/Inferential/Parametric/Non-Parametric @InculcateLearning

Lecture 4: Class-4 Measures of Central Tendency (Mean) By General Method & By Assumed Mean Method By Ravina

Lecture 5: Class-5 Measures of Central Tendency(Median) Computation of Median By Ravina @InculcateLearning

Lecture 6: Class-6 Measures of Central Tendency(Mode) Computation of Mode By Ravina @InculcateLearning ​

Lecture 7: Class-7 Measures of Central Tendency When to use Mean, Median, Mode - By Ravina@InculcateLearning ​

Lecture 8: Class-8 Percentiles/Percentile Rank/Deciles/Quartiles in Statistics By Ravina @InculcateLearning

Lecture 9: Class-9 Measures of Dispersion: Range/Quartile Deviation/Mean Deviation/Standard Deviation By Ravina

Lecture 10: Class-10 Utility of Measures of Dispersion @InculcateLearning By Ravina

Lecture 11: Class-11 Concept of NPC/Skewness/Kurtosis | Statistics in Education & Psychology @InculcateLearning

Lecture 12: Class-12 Characteristics of Normal Curve(NPC) Statistics in Edu & Psychology @InculcateLearning ​

Lecture 13: Class-13 Applications of Normal Curve(NPC) Statistics in Edu & Psychology @InculcateLearning ​

Lecture 14: Class-14(A) Examples of Applications of Normal Curve By Ravina UGC NET Education@InculcateLearning ​

Lecture 15: Class-14(B) Examples of Applications of Normal Curve By Ravina UGC NET Education@InculcateLearning ​

Lecture 16: Class-15A Standard/Sigma/Z-Scores | Statistics in Education & Psychology @InculcateLearning ​

Lecture 17: Class-15B T-Score | Scores Transformation | Statistics in Education & Psychology@InculcateLearning ​

Lecture 18: Class-15C C-Scale | Stanine Scale | Statistics in Education & Psychology @InculcateLearning

Lecture 19: Class-16 Correlation | Linear/Non-Linear | Statistics in Education & Psychology @InculcateLearning ​

Lecture 20: Class-16A Methods of Correlation | Statistics in Education & Psychology @InculcateLearning

Lecture 21: Class-16B Pearson's Product Moment Method | Statistics in Education & Psychology @InculcateLearning

Lecture 22: Class-16C Spearman's Rank Difference Method | Statistics in Education & Psychology@InculcateLearning

Lecture 23: Class-16D Kendall's Tau | Statistics in Education & Psychology @InculcateLearning By Ravina

Lecture 24: Class-17 Biserial Correlation | Statistics in Education & Psychology @InculcateLearning By Ravina

Lecture 25: Class-18 Point Biserial Correlation | Statistics in Education & Psychology @InculcateLearning Ravina

Lecture 26: Class-19 Difference between Biserial & Point Biserial Correlation | Statistics @InculcateLearning

Lecture 27: Class-20 Tetrachoric Correlation | Statistics in Education & Psychology @InculcateLearning By Ravina

Lecture 28: Class-21 Phi Correlation Coefficient |Statistics in Education & Psychology @InculcateLearning Ravina

Lecture 29: Class-22 Difference between Tetrachoric & Phi Coefficient of Correlation | Statistics By Ravina

Lecture 30: Class-23 Partial Correlation |Statistics in Education & Psychology @InculcateLearning Ravina

Lecture 31: Class-24 Multiple Correlation | Statistics in Education & Psychology @InculcateLearning By Ravina

Lecture 32: Class-25 Significance of Mean for Large Samples/Level of Confidence Statistics in Edu & Psychology

Lecture 33: Class-26 Significance of Mean for Small Samples/Concept of t-distribution & degree of freedom

Lecture 34: Meaning, Characteristics, Positivism & Post-Positivist Approach |Research Aptitude | UGC NET Paper-1

Lecture 35: Types, Methods & Approaches of Research | Research Aptitude | UGC NET Paper-1 | Inculcate Learning

Lecture 36: Steps of Research | Research Aptitude | UGC NET Paper-1 | In Detail | Inculcate Learning | By Ravina

Lecture 37: Steps of Research-2 | Research Aptitude | Class-4 | UGC NET Paper-1 | Inculcate Learning | By Ravina

Lecture 38: Research Ethics | Research Aptitude | UGC NET Paper-1 | Inculcate Learning | By Ravina

Lecture 39: Research Aptitude | Applications of ICT in Research | UGC NET Paper-1 | Inculcate Learning | Ravina

Lecture 40: Class-1 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 41: Class-2 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 42: Class-3 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 43: Class-4 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 44: Class-5 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 45: Class-6 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 46: Class-7 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 47: Class-8 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 48: Class-9 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 49: Class-10 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina

Lecture 50: Methods of Determining Reliability |Test-Retest/Split Half/Kuder Richardson Formula/Cronbach’s Alpha