000 06559cam a22002534a 4500
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020 _a0761935029 (paper back)
020 _a8178296578
020 _a9780761935025
020 _a9788178296579
040 _cCUS
082 0 0 _a519.50285
_bGAU/S
100 _aGaur, Ajai S.
_910437
245 1 0 _aStatistical Methods for Practice and Research
_b: a guide to data analysis using SPSS
260 _aNew Delhi ;
_aThousand Oaks :
_bResponse Books,
_c2006.
300 _a169p. :
_c25 cm.
505 _a1.1 Starting SPSS 1.2 SPSS Main Menus 1.3 Working with the Data Editor 1.4 SPSS Viewer 1.5 Importing and Exporting Data Basic Statistical Concepts 2.1 Research in Behavioral Sciences 2.1.1 Qualitative Research 2.1.2 Quantitative Research 2.2 Types of Variables 2.2.1 Qualitative Variables 2.2.2 Quantitative Variables 2.3 Reliability and Validity 2.3.1 Assessing Reliability 2.3.2 Assessing Validity 2.4 Hypotihesis Testing 2.4.1 Type 1 and Type n Errors 2.4.2 Significance Level (p-value) 2.4.3 One-Tailed and Two-Tailed Tests Summarizing Data: Descriptive Statistics 3.1 Basic Concepts 3.1.1 Measures of Central Tendency 3.1.2 Measures of Variability 3.1.3 Percentiles, Quartiles and Interquartile Range 3.1.4 Skewness 3.1.5 Kurtosis 3.2 Using SPSS 3.2.1 Descriptive Statistics 3.2.2 Frequencies 3.2.3 Tables Comparing Means: One or Two Samples t-Tests 4.1 Basic Concepts 4.1.1 Mest and z-test 4.1.2 One Sample f-test 4.1.3 Independent Samples Mest 4.1.4 Dependent (Paired) Samples Mest 4.2 Using SPSS 4.2.1 One Sample Mest 4.2.2 Independent Samples Mest 4.2.3 Dependent Samples Mest Comparing Mearis: Analysis of Variance 5.1 Basic Concepts 5.1.1 ANOVA Procedvire 5.1.2 Factors and Covaiiates 5.1.3 Between, Within and Mixed (Between-V\^thin) Designs 5.1.4 Main Effects and Interactions 5.1.5 Post-Hoc Multiple Comparisons 5.1.6 Contrast Analysis 5.2 Using SPSS 5.2.1 One-Way Between-Groups ANOVA 5.2.2 Unplanned and Planned Comparisons 5.2.3 Two-Way Between-Groups ANOVA Chi-Square Test of Independence for Discrete Data 6.1 Basic Concepts 6.1.1 Chi-Square Test of Independence ' 6.1.2 Contingency Tables 6.2 Using SPSS Correlation Analysis 7.1 Basic Concepts 7.1.1 Correlation Coefficient 7.1.2 Nature of Variables 7.1.3 Bivariate/Partial Correlation 7.2 Using SPSS 7.2.1 Bivariate Correlation 7.2.2 Partial Correlation Multiple Regression 8.1 Basic Concepts 8.1.1 Regression Coefficient 8.1.2 R Values 8.1.3 Design Issues 8.1.4 Multiple Regression lypes 8.2 Using SPSS 8.2.1 Standard Multiple Regression 8.2.2 Hierarchical Regression Logistic Regression 9.1 Basic Concepts 9.1.1 Lx)gistic Regression Coefficients 9.1.2 Fit Indices 9.1.3 Design Issues 9.1.4 Logistic Regression Types 9.2 Using SPSS Data Reduction and Scale Reliability: Factor Analysis 10.1 Basic Concepts 10.1.1 Factor and Component 10.1.2 E)qploratory and Confirmatory Factor Analysis 10.1.3 Extraction 10.1.4 Factor Loadings 10.1.5 Rotation 10.1.6 Communalities 10.1.7 Eigenvalue and Scree Plot 10.1.8 Scale Reliability 10.1.9 Sample Size Considerations 10.2 Using SPSS 10.2.1 Factor Analysis 10.2.2 Scale Reliability Advanced Data Handling in SPSS 11.1 Sorting Cases 11.2 Merging Files 11.3 Aggregating Cases 11.4 Splitting Files 11.5 Selecting Cases 11.6 Receding Values 11.7 Computing New Variables1.1 Starting SPSS 1.2 SPSS Main Menus 1.3 Working with the Data Editor 1.4 SPSS Viewer 1.5 Importing and Exporting Data Basic Statistical Concepts 2.1 Research in Behavioral Sciences 2.1.1 Qualitative Research 2.1.2 Quantitative Research 2.2 Types of Variables 2.2.1 Qualitative Variables 2.2.2 Quantitative Variables 2.3 Reliability and Validity 2.3.1 Assessing Reliability 2.3.2 Assessing Validity 2.4 Hypotihesis Testing 2.4.1 Type 1 and Type n Errors 2.4.2 Significance Level (p-value) 2.4.3 One-Tailed and Two-Tailed Tests Summarizing Data: Descriptive Statistics 3.1 Basic Concepts 3.1.1 Measures of Central Tendency 3.1.2 Measures of Variability 3.1.3 Percentiles, Quartiles and Interquartile Range 3.1.4 Skewness 3.1.5 Kurtosis 3.2 Using SPSS 3.2.1 Descriptive Statistics 3.2.2 Frequencies 3.2.3 Tables Comparing Means: One or Two Samples t-Tests 4.1 Basic Concepts 4.1.1 Mest and z-test 4.1.2 One Sample f-test 4.1.3 Independent Samples Mest 4.1.4 Dependent (Paired) Samples Mest 4.2 Using SPSS 4.2.1 One Sample Mest 4.2.2 Independent Samples Mest 4.2.3 Dependent Samples Mest Comparing Mearis: Analysis of Variance 5.1 Basic Concepts 5.1.1 ANOVA Procedvire 5.1.2 Factors and Covaiiates 5.1.3 Between, Within and Mixed (Between-V\^thin) Designs 5.1.4 Main Effects and Interactions 5.1.5 Post-Hoc Multiple Comparisons 5.1.6 Contrast Analysis 5.2 Using SPSS 5.2.1 One-Way Between-Groups ANOVA 5.2.2 Unplanned and Planned Comparisons 5.2.3 Two-Way Between-Groups ANOVA Chi-Square Test of Independence for Discrete Data 6.1 Basic Concepts 6.1.1 Chi-Square Test of Independence ' 6.1.2 Contingency Tables 6.2 Using SPSS Correlation Analysis 7.1 Basic Concepts 7.1.1 Correlation Coefficient 7.1.2 Nature of Variables 7.1.3 Bivariate/Partial Correlation 7.2 Using SPSS 7.2.1 Bivariate Correlation 7.2.2 Partial Correlation Multiple Regression 8.1 Basic Concepts 8.1.1 Regression Coefficient 8.1.2 R Values 8.1.3 Design Issues 8.1.4 Multiple Regression lypes 8.2 Using SPSS 8.2.1 Standard Multiple Regression 8.2.2 Hierarchical Regression Logistic Regression 9.1 Basic Concepts 9.1.1 Lx)gistic Regression Coefficients 9.1.2 Fit Indices 9.1.3 Design Issues 9.1.4 Logistic Regression Types 9.2 Using SPSS Data Reduction and Scale Reliability: Factor Analysis 10.1 Basic Concepts 10.1.1 Factor and Component 10.1.2 E)qploratory and Confirmatory Factor Analysis 10.1.3 Extraction 10.1.4 Factor Loadings 10.1.5 Rotation 10.1.6 Communalities 10.1.7 Eigenvalue and Scree Plot 10.1.8 Scale Reliability 10.1.9 Sample Size Considerations 10.2 Using SPSS 10.2.1 Factor Analysis 10.2.2 Scale Reliability Advanced Data Handling in SPSS 11.1 Sorting Cases 11.2 Merging Files 11.3 Aggregating Cases 11.4 Splitting Files 11.5 Selecting Cases 11.6 Receding Values 11.7 Computing New Variables
650 0 _aSocial Sciences
_xStatistical Ethods
_xComputer Programs.
_910438
650 0 _aSocial Sciences
_xResearch
_xStatistical Methods.
_910439
700 _aGaur,Sanjaya S.
_921238
942 _cWB16
_2ddc
999 _c1178
_d1178