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• Title:Interpreting quantitative data with IBM SPSS statistics / Rachad Antonius.
  
•    
• Author/Creator:Antonius, Rachad, 1947-
  
• Published/Created:London ; Thousand Oaks, Calif. : SAGE, 2013.
  

• Holdings

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  • Location:KOERNER LIBRARY stacks (Floor 1)Where is this?
    
  • Call Number: HA32 .A68 2013
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Social sciences--Research--Methodology.
  Social sciences--Statistical methods.
  
• Subject(s):SPSS (Computer file)
  
• Edition:2nd ed.
  
• Description:xxvi, 343 p. : ill. ; 24 cm
  
• Notes:Previous ed.: 2003.
  Includes bibliographical references and index.
  
• ISBN:9781446207420 (hardback)
  1446207420 (hardback)
  9781446207437 (pbk.)
  1446207439 (pbk.)
  
• Contents:Machine generated contents note: pt. I INTRODUCTION TO QUANTITATIVE METHODS
  1. basic language of statistics
  Introduction: Social sciences and quantitative methods
  Data files
  discipline of statistics
  Populations, samples, and units
  Descriptive statistics
  Inferential statistics
  Variables and measurement
  Importance of the level of measurement
  Concepts, dimensions, and indicators
  Validity and reliability
  Summary
  Key words
  Exercises
  SPSS tutorial: Getting started with SPSS
  2. research process
  Main steps in social research
  research object
  Examining the problematics of the issue
  general research question
  literature review
  theoretical framework and the specific research question
  research hypothesis
  research design
  Data collection
  Data analysis
  Interpretation of results
  General conclusions and further questions
  Summary
  Key words
  Exercises
  SPSS tutorial: Becoming familiar with SPSS
  pt. II DESCRIPTIVE STATISTICS
  3. Univariate descriptive statistics
  Introduction
  Measures of central tendency
  For qualitative variables
  For quantitative variables
  Measures of dispersion
  For qualitative variables
  For quantitative variables
  Measures of position
  Other measures
  Ratios
  Percentages and proportions
  Methodological issues
  definition of the categories over which the counting is done
  Outliers
  Summary
  Key words
  Exercises
  SPSS tutorial: Exploring descriptive statistics
  4. Graphical representations
  Introduction
  Bar charts
  Pie charts
  Histograms
  Area as a measure of the proportion of data
  Drawing a histogram manually
  Frequency polygons and density curves
  Histogram or bar chart?
  Box plots
  Line charts
  Stem-and-leaf plots
  Scatter diagrams
  general shape of a distribution
  Symmetry
  Kurtosis
  Summary
  Key words
  SPSS tutorial
  Bar charts
  Pie charts
  Histograms
  Box plots
  pt. III METHODOLOGICAL TOOLS
  5. Creating new variables with SPSS
  Main commands for creating variables in SPSS
  COMPUTE command
  RECODE command
  Select Cases submenu
  SORT Cases command
  Aggregate procedure
  Getting help in SPSS
  Summary
  Key words
  SPSS exercises and tutorial
  6. Normal distributions and sampling distributions
  Introduction
  Properties of normal distributions
  Areas under the curve, proportions of data, and percentages of data
  Using the table of areas under the normal curve
  Values of z used frequently
  Numerical examples
  Recognizing equivalent statements
  Sampling distributions
  Sampling distribution of the mean
  Sampling distribution of a proportion
  Summary
  Key words
  Exercises
  7. Sampling designs
  Introduction
  Types of samples
  Probabilistic samples
  Non-probabilistic samples
  Errors of measurement
  Errors of observation
  Sampling errors
  Summary
  Key words
  Exercises
  SPSS tutorial
  pt. IV INFERENTIAL STATISTICS
  8. Estimation
  Introduction: Inferential statistics
  logic of estimation: proportions and percentages
  Estimation of a percentage: confidence statements
  Proportions and percentages
  Point estimates and interval estimates
  Formulation of the level of confidence
  Estimation of a mean
  Estimation of a mean: the calculations
  Effect of the sample size on the margin of error
  Calculation of the sample size needed in a survey
  Summary
  Key words
  Exercises
  Interpretation of confidence statements
  Formulation of confidence statements
  SPSS tutorial
  Estimating a mean with SPSS
  Exercises
  Estimating a proportion with SPSS
  9. Hypothesis testing
  Introduction
  logic of hypothesis testing
  detailed procedure for hypothesis testing
  Understanding the probabilities of error
  various forms of the alternative hypothesis
  When are one-tailed tests used?
  Hypothesis testing in statistical software
  t-tests
  uses of hypothesis testing procedures
  Summary
  Key words
  Exercises
  SPSS tutorial
  Performing a one-sample t-test
  pt. V STATISTICAL ASSOCIATION
  10. Correlation and the regression line
  Introduction
  Dependent and independent variables
  measure of statistical association between two quantitative variables
  regression line
  Statistically significant correlations
  Interpreting SPSS outputs
  From statistical association to relationship between variables
  Summary
  Key words
  Exercises
  SPSS tutorial
  Correlate procedure
  Regression procedure
  scatter diagram and the line of regression
  11. Two-way tables and the chi-squared test
  Introduction
  definition of statistical association for categorical variables
  chi-squared statistic (X2)
  Chi-squared as a test of association between two nominal variables
  Measures of the strength of the association based on chi-squared
  Other measures of association for two-way tables
  odds ratio
  Summary
  Key words
  Exercises
  SPSS tutorial
  12. t-tests and ANOVA
  Introduction
  t-test as a test of statistical association
  analysis of variance
  One-way ANOVA
  Two-way and multi-way ANOVA
  Graphical representations of the various kinds of effects
  Ordinal variables
  Statistical association as a qualitative relationship
  Summary
  Key words
  SPSS tutorial
  APPENDIX I Reporting a quantitative analysis
  Introduction
  How to write a descriptive report
  Basic direct reports
  Analytical descriptive reports
  Reporting an estimate
  Reporting a hypothesis test
  Reporting a statistical association
  Two quantitative variables
  association between a qualitative and a quantitative variable
  Two qualitative variables
  APPENDIX II How to create a data file in SPSS
  APPENDIX III Area under the normal curve
  APPENDIX IV Table of random numbers.