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  • 1
    Online Resource
    Online Resource
    Berlin, Heidelberg : Springer Berlin Heidelberg
    Keywords: Computer science ; Software engineering ; Computer Science
    Type of Medium: Online Resource
    Pages: Online-Ressource
    ISBN: 9783540481171
    Series Statement: Lecture Notes in Computer Science 289
    RVK:
    Language: English
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  • 2
    Online Resource
    Online Resource
    London :SAGE Publications, Limited,
    Keywords: Social sciences - Statistical methods - Computer programs. ; Electronic books.
    Description / Table of Contents: Doing Statistics With SPSS is derived from the authors′ many years of experience teaching undergraduates data handling using SPSS. It assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme.
    Type of Medium: Online Resource
    Pages: 1 online resource (237 pages)
    Edition: 1st ed.
    ISBN: 9781848608559
    DDC: 530.12
    Language: English
    Note: Cover Page -- Title Page -- Copyright Page -- Contents -- 1 THE NEED FOR STATISTICS -- Stages of the Research Process -- 2 DESCRIPTIVE STATISTICS -- Introduction to Descriptive Statistics -- Frequency Distribution -- Graphical Representations -- Cumulative Frequency Curves -- Measures of Central Tendency -- Skewed Distributions -- Boxplots -- Levels of Data -- Measures of Dispersion -- Variance -- Standard Deviation -- Summary -- 3 THE NORMAL DISTRIBUTION -- Normal Distribution -- The Importance of the Normal Distribution -- Summary -- 4 INTRODUCTION TO EXPERIMENTAL RESEARCH -- Inferential Statistics -- A Brief Introduction to Experimental Research -- The Logic of Statistical Inference -- Hypothesis Testing -- Type I and Type II Errors -- Statistical versus Practical Significance -- Hypotheses Concerned with Differences and Relationships -- Samples and Populations -- Selecting the Appropriate Statistical Test -- Checking the Assumption of a Normal Distribution -- Skewness -- Kurtosis -- Checking the Assumption of Equal Variance -- Checking the Assumption of Level of Measurement -- Non-parametric Tests -- Summary -- 5 SAMPLING ERROR -- Sources of Sampling Error -- Why Is Sampling Error Important? -- Paired Samples t-test -- Calculating a Paired Samples t-test -- Interpreting the Value of t -- Testing the Null Hypothesis -- Looking up Critical Values from the t-tables -- Why Does the Critical Value of t Decrease as the Sample Size Increases? -- Why Is the Significance Level for a Two-tailed Hypothesis Half that for a One-tailed Hypothesis? -- Independent t-test -- Summary -- 6 BETWEEN-GROUPS ONE-WAY ANALYSIS OF VARIANCE -- Purpose -- Why Not Use Multiple t-tests? -- Within-groups Variance -- Between-groups Variance -- Error -- F-ratio -- Calculating the Variances -- Calculating F -- Calculating a Between-groups One-way ANOVA by Hand. , Example of How to Use SPSS to Undertake a Between-groups One-way ANOVA -- Assumptions of ANOVA -- Summary -- 7 ANALYTICAL COMPARISONS -- Purpose -- Unplanned Comparisons: Post-hoc Tests (Data Snooping) -- A Priori Tests (Planned Comparisons) -- Orthogonal and Non-orthogonal Comparisons -- Non-orthogonal Comparisons and Type I Error -- Bonferroni-type Adjustments for Inflated Type I Error on Univariate F-tests -- SPSS Contrast Command -- Summary -- 8 WITHIN-GROUPS ONE-WAY ANOVA -- Purpose -- Principles behind a Within-groups One-way ANOVA -- Additional Assumptions of a Within-subjects Design ANOVA -- Outputs from SPSS for Windows to Illustrate that a Within-subjects Design ANOVA Will Always Be more Conservative than a Between-subjects Design -- Summary -- 9 FACTORIAL ANOVA -- Purpose -- Principle behind a Factorial ANOVA -- Plotting the Main and Interaction Effects -- Instructions to Execute a Factorial ANOVA Using SPSS -- Edited Output from SPSS -- Checking the Homogeneity of Variance Assumption -- Factorial ANOVA -- Summary -- 10 MORE ADVANCED APPLICATIONS IN ANOVA -- Testing Simple Effects in Factorial ANOVA -- Doubly Multivariate Repeated Measures Design -- Test for Linear Trend in One-way ANOVA -- Summary -- 11 LINEAR REGRESSION -- Correlational Research -- Purpose -- Linear Regression -- Regression Lines -- Estimating the Slope -- Estimating the Intercept -- Predicting from the Regression Line -- Correlation Coefficients -- Interpreting Correlation Coefficients -- Reliability of r -- Coefficient of Determination -- Pearson's Product Moment Coefficient of Correlation (r) -- Summary -- 12 MULTIPLE REGRESSION -- Purpose -- Partial Correlation -- Semi-partial Correlation -- Overlapping Variance -- Type I and Type II Errors in Multiple Regression -- Terms and Concepts Displayed in Example 12.1 -- Summary -- 13 TWO FINAL EXERCISES. , APPENDIX 1 GLOSSARY -- APPENDIX 2 TEST SELECTION TABLE -- APPENDIX 3 ANSWERS TO THE EXERCISES -- APPENDIX 4 ILLUSTRATION OF HOW CHAPTER 13 MIGHT BE COMPLETED USING THE DATA ON PAGE 74 -- Index.
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