Starting a new Lecture Notes Series on Unit-6 Research in Education (UGC NET Education)
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Unit-6 Research in Education (UGC NET Education) By Lecture Notes together!
Lecture 1: Meaning, Characteristics, Positivism & Post-Positivist Approach |Research Aptitude | UGC NET Paper-1
Lecture 2: Types, Methods & Approaches of Research | Research Aptitude | UGC NET Paper-1 | Inculcate Learning
Lecture 3: Steps of Research | Research Aptitude | UGC NET Paper-1 | In Detail | Inculcate Learning | By Ravina
Lecture 4: Steps of Research-2 | Research Aptitude | Class-4 | UGC NET Paper-1 | Inculcate Learning | By Ravina
Lecture 6: Research Aptitude | Applications of ICT in Research | UGC NET Paper-1 | Inculcate Learning | Ravina
Lecture 7: Hypothesis | Introduction to Research Methods | M.Ed. | UGC NET Education | Inculcate Learning
Lecture 8: Type-I Error | Type-II Error | M.Ed./UGC NET/SET | Into to Research Methods | Inculcate Learning |
Lecture 9: Hypothesis | Sources & Types | In Detail | M.Ed. | UGC NET Education | Inculcate Learning | Ravina
Lecture 10: Concept of Null Hypothesis (with example) | In Detail | M.Ed./UGC NET/SET | Inculcate Learning |
Lecture 11: Likert Scale | Tools of Measurement | M.Ed./M.A. Education/UGC NET | Inculcate Learning | By Ravina
Lecture 12: Measurement | Meaning, Definition, Kinds of Measurement | B.Ed./M.Ed./UGC NET Education | By Ravina
Lecture 13: Need, Scope & Levels/Scales of Measurement | B.Ed./M.Ed./UGC NET Education | Inculcate Learning |
Lecture 14: Difference between Physical & Mental Measurement | B.Ed./M.Ed./UGC NET Education |Inculcate Learning
Lecture 15: Interrelationship & Difference between Measurement & Evaluation | B.Ed./M.Ed./UGC NET Education
Lecture 16: Parametric & Non-Parametric Tests | Statistics | UGC NET Education/SET| Inculcate Learning |Ravina
Lecture 17: T- Test | Parametric Tests | Statistics | UGC NET Education/SET| Inculcate Learning | By Ravina
Lecture 18: F- Test | Parametric Tests | Statistics | UGC NET Education/SET | Inculcate Learning | By Ravina
Lecture 19: Z- Test | Parametric Tests | Statistics | UGC NET Education/SET | Inculcate Learning | By Ravina
Lecture 20: ANOVA | Parametric Tests | Statistics | UGC NET Education/SET | Inculcate Learning | By Ravina
Lecture 21: Chi Square Test | Non- Parametric Tests | Statistics | UGC NET Education/SET | Inculcate Learning
Lecture 22: Parametric Tests | T-Test; F-Test; Z-Test; ANOVA | UGC NET Education/SET| Inculcate Learning |Ravina
Lecture 23: Narrative Research Design | Unit-6; Research in Education | UGC NET Education | Inculcate Learning
Lecture 24: Case Study Research Design | Qualitative Research Design | UGC NET Education/SET |Inculcate Learning
Lecture 26: Class-1 Statistics in Psychology & Education | Basics of Statistics @InculcateLearning By Ravina
Lecture 27: Nominal, Ordinal, Interval, Ratio Scales | UGC NET Education/SET | Inculcate Learning | By Ravina
Lecture 28: Class-3 Types of Statistics Descriptive/Inferential/Parametric/Non-Parametric @InculcateLearning
Lecture 29: Class-4 Measures of Central Tendency (Mean) By General Method & By Assumed Mean Method By Ravina
Lecture 30: Class-5 Measures of Central Tendency(Median) Computation of Median By Ravina @InculcateLearning
Lecture 31: Class-6 Measures of Central Tendency(Mode) Computation of Mode By Ravina @InculcateLearning
Lecture 32: Class-7 Measures of Central Tendency When to use Mean, Median, Mode - By Ravina@InculcateLearning
Lecture 33: Class-8 Percentiles/Percentile Rank/Deciles/Quartiles in Statistics By Ravina @InculcateLearning
Lecture 34: Class-9 Measures of Dispersion: Range/Quartile Deviation/Mean Deviation/Standard Deviation By Ravina
Lecture 36: Class-11 Concept of NPC/Skewness/Kurtosis | Statistics in Education & Psychology @InculcateLearning
Lecture 37: Class-12 Characteristics of Normal Curve(NPC) Statistics in Edu & Psychology @InculcateLearning
Lecture 38: Class-13 Applications of Normal Curve(NPC) Statistics in Edu & Psychology @InculcateLearning
Lecture 39: Class-14(A) Examples of Applications of Normal Curve By Ravina UGC NET Education@InculcateLearning
Lecture 40: Class-14(B) Examples of Applications of Normal Curve By Ravina UGC NET Education@InculcateLearning
Lecture 41: Class-15A Standard/Sigma/Z-Scores | Statistics in Education & Psychology @InculcateLearning
Lecture 42: Class-15B T-Score | Scores Transformation | Statistics in Education & Psychology@InculcateLearning
Lecture 43: Class-15C C-Scale | Stanine Scale | Statistics in Education & Psychology @InculcateLearning
Lecture 44: Class-16 Correlation | Linear/Non-Linear | Statistics in Education & Psychology @InculcateLearning
Lecture 45: Class-16A Methods of Correlation | Statistics in Education & Psychology @InculcateLearning
Lecture 46: Class-16B Pearson's Product Moment Method | Statistics in Education & Psychology @InculcateLearning
Lecture 47: Class-16C Spearman's Rank Difference Method | Statistics in Education & Psychology@InculcateLearning
Lecture 48: Class-17 Biserial Correlation | Statistics in Education & Psychology @InculcateLearning By Ravina
Lecture 49: Class-18 Point Biserial Correlation | Statistics in Education & Psychology @InculcateLearning Ravina
Lecture 50: Class-19 Difference between Biserial & Point Biserial Correlation | Statistics @InculcateLearning
Lecture 51: Class-20 Tetrachoric Correlation | Statistics in Education & Psychology @InculcateLearning By Ravina
Lecture 52: Class-21 Phi Correlation Coefficient |Statistics in Education & Psychology @InculcateLearning Ravina
Lecture 53: Class-22 Difference between Tetrachoric & Phi Coefficient of Correlation | Statistics By Ravina
Lecture 54: Class-16D Kendall's Tau | Statistics in Education & Psychology @InculcateLearning By Ravina
Lecture 55: Class-23 Partial Correlation |Statistics in Education & Psychology @InculcateLearning Ravina
Lecture 56: Class-24 Multiple Correlation | Statistics in Education & Psychology @InculcateLearning By Ravina
Lecture 57: Class-25 Significance of Mean for Large Samples/Level of Confidence Statistics in Edu & Psychology
Lecture 58: Class-26 Significance of Mean for Small Samples/Concept of t-distribution & degree of freedom
Lecture 59: Validity | Internal & External Validity | Population & Ecological Validity@InculcateLearning Ravina
Lecture 60: Level of Significance | Confidence Interval | P-Value | UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 61: Historical Research | B.Ed./M.Ed./UGC Net Paper-1/Paper-2 Education @InculcateLearning By Ravina
Lecture 62: Steps of Historical Research | B.Ed./M.Ed./UGC Net Paper-1/Paper-2 Education @InculcateLearning
Lecture 63: Class-1 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 64: Class-2 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 65: Class-3 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 66: Class-4 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 67: Class-5 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 68: Class-6 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 69: Class-7 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 70: Class-8 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 71: Class-9 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 72: Class-10 Basic Statistics Concepts with PYQs | Imp for UGC NET Paper-1/Paper-2 Education By Ravina
Lecture 73: Methods of Determining Reliability |Test-Retest/Split Half/Kuder Richardson Formula/Cronbach’s Alpha
Lecture 74: VIP Class-11 Hypotheses in Detail | Unit-6 Research in Education | UGC NET Paper-2 Education 2024
Lecture 75: VIP Class-12 Level of Significance, Hypothesis Testing,Type-I, Type-II Error |Unit-6 Research#ugcnet
Lecture 76: VIP Class-12 Level of Significance, Hypothesis Testing,Type-I, Type-II Error |Unit-6 Research#ugcnet
Lecture 77: VIP Class-12 Level of Significance, Hypothesis Testing,Type-I, Type-II Error |Unit-6 Research#ugcnet
Lecture 78: VIP Class-13 Variables & Types of Variables @InculcateLearning Unit-6 Research #ugcneteducation