Statistics in psychology and education/ (Record no. 177925)
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000 -LEADER | |
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fixed length control field | 08188nam a2200145Ia 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9788120320888 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | CUS |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 370.15021 |
Item number | MAN/S |
245 #0 - TITLE STATEMENT | |
Title | Statistics in psychology and education/ |
Statement of responsibility, etc. | MangalmS.K. |
250 ## - EDITION STATEMENT | |
Edition statement | 2 |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | New Delhi: |
Name of publisher, distributor, etc. | PHI learning, |
Date of publication, distribution, etc. | 2002. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 404 |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | 1. STATISTICS—MEANING AND USE<br/>Meaning of Statistics 1<br/>Need and Importance of Statistics in Education and Psychology<br/>Evaluation and Measurement 2<br/>Day-to-Day Tasks 2<br/>Reseaich 3<br/>Understanding and Using the Products of Research<br/>Prerequisites for Studying Statistics 4<br/>Essential Mathematical Fundamentals 4<br/>Types of Variables Employed in Statistical Measurement<br/>Sc^es of Measurement 6<br/>Type of Approximation or Exactness Required in Statistics<br/>Various Statistical Symbols 8<br/>Summary 10<br/>Exercises 10<br/>2. ORGANIZATION OF DATA<br/>The Meaning of the Term "Data" 12<br/>Methods of Organizing Data 12<br/>Statistical Tables 12<br/>Rank Order 14<br/>Frequency Distribution 15<br/>How to Construct a Frequency Distribution Table 15<br/>Grouping Error 17<br/>Cumulative Frequency and Cumulative Percentage Frequency<br/>Distributions IS<br/>Summaiy 19<br/>Exercises 21<br/>3. graphical representation of data<br/>Meaning of Graphical Representation of Data<br/>Advantages of Graphical Representation of Data 23<br/>Modes of Graphical Representation of Data 24<br/>Graphical Representation of Ungrouped Data 24<br/>Graphical Representation of Grouped Data (Frequency<br/>Distribution) 28<br/>Smoothing of Frequency Curves—Polygon and Ogive 35<br/>Why Smooth? 35<br/>How to Smooth 35<br/>Explanation 35<br/>Summary 38<br/>Exercises 39 y ,<br/>4. MEASURES OF CENTRAL TENDENCY<br/>Meaning of the Measures of Central Tendency 41<br/>Arithmetic Mean (M) 41<br/>Median (Mj) 43<br/>Mode (Mo)' 46<br/>Computation of Median and Mode from the Curves of<br/>Frequency Distribudon 49<br/>When to Use the Mean, Median and Mode 49<br/>Summary 51<br/>Exercises 52<br/>5. PERCENTILES AND PERCENTILE RANK<br/>Meaning of the Term Pencentile 55<br/>Definition 56<br/>Defining Quardles and Deciles 56 ;<br/>Computation of Percentiles, Quartiles and Deciles 57<br/>Definition 60<br/>/ Percentile Rank 60<br/>Definition 60<br/>Computation of Percentile Rank 60<br/>Utility of Percentiles and Percentile Rank 65<br/>-Summary 65<br/>Exercises 67<br/>6. MEASURES OF VARIABILITY<br/>Meaning and Importance of the Measures of Variability 68<br/>Types or Measures of Variability 69<br/>Range (R) 69<br/>Quar'-ile Deviation (Q) 69<br/>Average Deviauon (AD) 70<br/>Standard Deviation (SD) 71<br/>When and Wliere to Use the Various Measures of Variability 74<br/>Range 74<br/>Average Deviauon 74<br/>Quartile Deviation 75<br/>Standard Deviation 75<br/>Summaiy 76<br/>Exercises 77<br/>-ik<br/>7. LINEAR CORRELATION<br/>Linear Correlation—Meaning and Types 79<br/>Coefficient of Correlation 80<br/>Computation of Coefficient of Correlation 80<br/>Construction of Scatter Diagram 87<br/>Computation of r 9i ^<br/>Summary 106<br/>Exercises 108<br/>8. THE NORMAL CURVE AND ITS APPLICATIONS<br/>What is a Normal Curve? Ill<br/>In Terms of Skewness • 112<br/>In Terms of Kurtosis 114<br/>Characteristics and Properties of a Normal Curve 115<br/>Applications of the Normal Curve 117<br/>Use as a Model 117<br/>Computing Percentiles and Percentile Ranks 117<br/>Understanding and Applying the Concept of Standard<br/>Errors of Measurement 118<br/>Ability Grouping 118<br/>Transforming and Combining Qualitative Data 118<br/>Converting Raw Scores into Comparable Standard ^<br/>Normalized Scores 118<br/>Determining the Relative Difficulty of Test Items 119<br/>Illustration of the Applications of the Normal Curve 119<br/>Converting Raw Scores into z Scores and Vice Versa 119<br/>Making Use of the Table of Normal Curve 120<br/>Examples of Application of tlie Normal Curve 121<br/>Summary 131<br/>Exercises 133<br/>9. SIGNIFICANCE OF THE MEAN AND OTHER<br/>STATISTICS<br/>Why is Sampling Needed? 135<br/>Significance of the Sample Mean and Other Statistics 135<br/>Concept of Standard Error in Computing the Significant<br/>Value of the Mean or Other Statistics 136<br/>Confidence Intervals 137<br/>Computation of Significance of Mean in Case of Large<br/>Samples 138<br/>Significance of Mean for Small Samples 139<br/>Process of Determining the Significance of Small Sample<br/>Means 141<br/>Significance of Some Other Statistics 143<br/>Standard Error of a Median 143<br/>Standard Error of a Quartile Deviation 143<br/>Standard Error of a Standard Deviation 143<br/>J<br/>Standard Error of the Coefficient of Correlation 143<br/>Coefficient of CoiTelation r 144<br/>Snminary 147<br/>Exercises 149<br/>, 10. SIGNIFICANCE OF THE DIFFERENCE BETWEEN<br/>MEANS<br/>Need and Importance 151<br/>Fundamental Concepts in Determining the Significance of the<br/>Difference between Means 152<br/>Concept of Standard EiTor 152<br/>Concept of Null Hypothesis 152<br/>Setting up the Level of Confidence or Significance 153<br/>Size of the Sample 153<br/>Two-tailed and One-tailed Tests of Significance 154<br/>How to Determine the Significance of Difference between<br/>Two Means 157<br/>Smmnary 175<br/>Exercises 177<br/>11. CHI SQUARE AND CONTINGENCY COEFFICIENT<br/>Use of Chi Square as a Test of 'Goodness of Bit' 181<br/>Hypothesis of Chance 181<br/>Hypothesis of Equal Probability 182 . •<br/>Hypothesis of Normal DisU'ibution 182<br/>y- Procedure of Chi Square Testing 183<br/>Establishing Null Hypothesis 183<br/>Computation of the Value of ^ 183<br/>Determining the Number of Degrees of Freedom 184<br/>Determining the Critical Value of^ 184<br/>Comparing Critical Value of ^ with the Computed Value 184<br/>Use of Chi Square as a Test of Independence between Two<br/>Variables 191<br/>Contingency Coefficient 196<br/>How to Compute C 197<br/>Correction for Small Frequencies in a 2 x 2 Table 198<br/>Underlying Assumptions, Uses and Limitations of Chi<br/>Square Test 201<br/>Summary 202<br/>Exercises 204<br/>12. FURTHER METHODS OF CORRELATIONS<br/>The Biserial Correlation 208<br/>Distinction between Artificial and Natural Dichotomy 209<br/>Computation of Biserial Coefficient of Correlation 210<br/>Alternative Formula for 213<br/>Characteristics of Biserial CoiTelation 213<br/>The Point Biserial Correlation 214<br/>Computation of Point Biserial Correlation<br/>CoefTicicnt bis)<br/>VVliich One of the Correlation ? bis or bis's Better and<br/>Why? 217<br/>The Tetrachoric Correlation 217<br/>Computation of Tetrachoric Correlation 218 y<br/>Worksheet for Computation of Tetrachoric<br/>Con elation (r,) 219<br/>The Phi (^) Coefficient 220<br/>Computation of Phi {<p) Coefficient 220<br/>Features and Characteristics of (p Coefficient 222<br/>Summary 222<br/>Exercises 224<br/>13. PARTIAL AND MULTIPLE CORRELATION<br/>Need and Importance of Pai tial Correlation 228<br/>Computation of Partial Correlation 229<br/>Application of Partial Correlation 233<br/>Significance of Partial Correlation Coefficient 233<br/>Need and Importance of Multiple Correlation 233<br/>Computation of Multiple Correlation 234<br/>Other Methods of Computing Coefficient of Multiple<br/>Correlation 235<br/>Characteristics of Multiple Correlation 238<br/>Significance of Multiple Correlation Coefficient R<br/>Suihmary 238<br/>Exercises 240<br/>14. REGRESSION AND PREDICTION<br/>Regression 242<br/>Concept of Regression Lines and Regression Equations<br/>Procedure for the Use of Regression Lines 243<br/>Error in the Prediction 247<br/>Role of Coefficient of Alienation in Prediction 248<br/>Multiple Regression and Prediction 249<br/>Setting up of a Multiple Regression Equation 249<br/>Steps to Formulate a Regression Equation 250<br/>Standard Error of Esdmate 254<br/>Summary 256<br/>Exercises 258<br/>15. SCORES transformation<br/>Need and Importance 260<br/>Standard Scores 261<br/>T-Scores 265 '<br/>How to Construct a T Scale 266 ^<br/>Conversion of the Raw Scores into T Scores 268<br/>C-Scores and Stanine Scores 270<br/>Summary 273<br/>Exercises 274<br/>16. NON-PARAMETRIC TESTS<br/>Parametric and Non-parametric Tests 276 /<br/>VVlien to Use Parametric and Non-parametric Tests 276<br/>McNcmar Test for the Significance of Change 277<br/>Sign lest 280<br/>Evaluation of Sign Pest 285<br/>Wilcoxon Matched-Pairs Signed Ranks Test 285<br/>Median Test. 288<br/>The Mann-Whitney U Test 290<br/>•. Wild-Wolfowitz-Runs Test 297<br/>Tlie Kolmogrov Smirnov Test (KS Test) 302<br/>KS One-Sample Test 302<br/>Wliat KS One-Sample Test Does? 303<br/>KS Two-Samples Test 306<br/>Summary 311<br/>Exercises 314<br/>17. ANALYSIS OF VARIANCE<br/>Need for the Technique of Analysis of Variance 319<br/>Meaning of the Term 'Analysis of Variance' 321<br/>Procedure for Calculating the Analysis of Variance 322<br/>/ Two-Way Analysis of Variance 334<br/>Underlying Assumptions in Analysis of Variance 339<br/>Summary 339<br/>Exercises 341<br/>18. ANALYSIS OF COVARIANCE<br/>Meaning and Purpose 344<br/>How to Make Use of the Analysis of Covariance 347<br/>Assumptions Underlying Analysis of Covariance 354<br/>Summary 354<br/>Exercises 355 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | General Books |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Date last checked out | Koha item type |
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Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 29/08/2016 | 370.15021 MAN/S | P32936 | 11/07/2024 | 05/06/2024 | General Books |