Understanding Statistics for the Social Sciences with IBM SPSS /
[Book]
Robert Ho.
1st
Chapman and Hall/CRC,
2017.
1 online resource (280 pages)
Includes bibliographical references and index.
Cover; Half Title; Title Page; Copyright Page; Contents; Preface; Author; 1. Introduction to the Scientific Methodology of Research; 1.1 Introduction; 1.2 The Scientific Approach versus the Layperson's Approach to Knowledge; 1.2.1 Sampling; 1.2.2 Research Designs; 1.2.3 Between-Groups Design; 1.3 The Univariate Approach; 1.3.1 The Multivariate Approach; 1.4 Correlational Design; 1.5 Hypothesis Testing and Probability Theory; 1.5.1 Probability; 1.5.2 Statistics and Scientific Research; 1.6 Definition of Statistics; 1.6.1 Descriptive Statistics; 1.6.2 Inferential Statistics.
2. Introduction to SPSS2.1 Learning How to Use the SPSS Software Program; 2.2 Introduction to SPSS; 2.2.1 Setting Up a Data File; 2.2.2 Preparing a Codebook; 2.2.3 Data Set; 2.2.4 Creating SPSS Data File; 2.2.5 Data Entry; 2.2.6 Saving and Editing Data File; 2.3 SPSS Analysis: Windows Method versus Syntax Method; 2.4 SPSS Analysis: Windows Method; 2.5 SPSS Analysis: Syntax Method; 2.5.1 SPSS Output; 2.5.2 Results and Interpretation; Section I: Descriptive Statistics; 3. Basic Mathematical Concepts and Measurement; 3.1 Basic Mathematical Concepts; 3.1.1 Mathematical Notations.
3.2 Measurement Scales (Levels of Measurement)3.2.1 Nominal Scales; 3.2.2 Ordinal Scales; 3.2.3 Interval Scales; 3.2.4 Ratio Scales; 3.3 Types of Variables; 3.3.1 IV and DV; 3.3.2 Continuous and Discrete Variables; 3.3.3 Real Limits of Continuous Variables; 3.3.4 Rounding; 4. Frequency Distributions; 4.1 Ungrouped Frequency Distributions; 4.1.1 SPSS: Data Entry Format; 4.1.2 SPSS Windows Method; 4.1.3 SPSS Syntax Method; 4.1.4 SPSS Output; 4.1.5 Results and Interpretation; 4.2 Grouped Frequency Distributions; 4.2.1 Grouping Scores into Class Intervals.
4.2.2 Computing a Frequency Distribution of Grouped Scores4.2.3 SPSS Method; 4.2.4 SPSS Windows Method; 4.2.5 SPSS Syntax Method; 4.2.6 SPSS Output; 4.3 Percentiles and Percentile Ranks; 4.3.1 Percentiles; 4.3.2 Computation of Percentiles (Finding the Score below which a Specified Percentage of Scores will Fall); 4.3.3 SPSS Syntax Method; 4.3.4 Data Entry Format; 4.3.5 SPSS Syntax Method; 4.3.6 SPSS Output; 4.3.7 Another Example; 4.3.8 Data Entry Format; 4.3.9 SPSS Syntax Method; 4.3.10 SPSS Output; 4.3.11 Percentile Rank.
4.3.12 Computation of Percentile Ranks (Finding the Percentage of Scores that Fall below a Given Score)4.3.13 Data Entry Format; 4.3.14 SPSS Syntax Method; 4.3.15 SPSS Output; 4.3.16 Another Example; 4.3.17 Data Entry Format; 4.3.18 SPSS Syntax Method; 4.3.19 SPSS Output; 5. Graphing; 5.1 Graphing Frequency Distributions; 5.2 Bar Graph; 5.2.1 An Example; 5.2.2 Data Entry Format; 5.2.3 SPSS Windows Method; 5.2.4 SPSS Syntax Method; 5.2.5 SPSS Bar Graph Output; 5.3 Histogram; 5.3.1 An Example; 5.3.2 SPSS Windows Method; 5.3.3 SPSS Syntax Method; 5.3.4 SPSS Histogram Output.
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"Modern statistical software provides the ability to compute statistics in a timely, orderly fashion. This introductory statistics textbook presents clear explanations of basic statistical concepts and introduces students to the IBM SPSS program to demonstrate how to conduct statistical analyses via the popular point-and-click and the "syntax file" methods. The focal point is to show students how easy it is to analyse data using SPSS once they have learned the basics. Provides clear explanation of basic statistical concepts that provides the foundation for the beginner students' statistical journey. Introduces the SPSS software program. Gives clear explanation of the purpose of specific statistical procedures (e.g., frequency distributions, measures of central tendencies, measures of variability, etc.). Avoids the conventional cookbook approach that contributes very little to students' understanding of the rationale of how the correct results were obtained. The advantage of learning the IBM SPSS software package at the introductory class level is that most social sciences students will employ this program in their later years of study. This is because SPSS is one of the most popular of the many statistical packages currently available. Learning how to use this program at the very start not only familiarizes students with the utility of this program but also provides them with the experience to employ the program to conduct more complex analyses in their later years."--Provided by publisher.