2%
SPSS 13.0 Guide to Data Analysis

SPSS 13.0 Guide to Data Analysis

          
5
4
3
2
1

Out of Stock


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Notify me when this book is in stock
Add to Wishlist

About the Book

The SPSS 13.0 Guide to Data Analysis is a friendly introduction to both data analysis and SPSS.  Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With the book, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS.  The goal of this book is to provide an unintimidating introduction to data analysis and to SPSS. This edition focuses on topics that interest today's students-in particular, the role of the Internet in society. It is designed for use with SPSS 13.0, including the Student Version.  A data CD is included with this book.

Table of Contents:
I          Getting Started with SPSS 1.       Introduction About This Book. Getting Started with SPSS. Describing Data. Testing Hypotheses. Examining Relationships. Let’s Get Started.   2.       An Introductory Tour of SPSS Starting SPSS. Help Is Always at Hand. Copying the Data Files. Opening a Data File. Statistical Procedures. The Viewer Window. Viewer Objects. The Data Editor Window. Entering Non-Numeric Data. Clearing the Data Editor without Saving Changes. The SPSS Online Tutorial. The SPSS Toolbar. The SPSS Help System. Contextual Help. What’s Next?   3.       Sources of Data Know Your Data. Survey Data. Asking the Question. Measuring Time. Selecting Participants. Selecting a Sample. General Social Survey. Random-Digit Dialing. Internet Surveys. Designing Experiments. Random Assignment. Minimizing Bias. Summary. What’s Next? Exercises. II        Describing Data 1.       Counting Responses Describing Variables. A Simple Frequency Table. Sorting Frequency Tables. Pie Charts. Bar Charts. Summarizing Internet Time. Histograms. Mode and Median. Percentiles. Summary. What’s Next? How to Obtain a Frequency Table. Format: Appearance of the Frequency Table. Statistics: Univariate Statistics. Charts: Bar Charts, Pie Charts, and Histograms. Exercises.   2.       Computing Descriptive Statistics Summarizing Data. Scales of Measurement. Mode, Median, and Arithmetic Average. Comparing Mean and Median. Summarizing Time Spent Online. Measures of Variability. Range. Variance and Standard Deviation. The Coefficient of Variation. Standard Scores. Summary. What’s Next? How to Obtain Univariate Descriptive Statistics. Options: Choosing Statistics and Sorting Variables. Exercises.   3.       Comparing Groups Age, Education, and Internet Use. Plotting Means. Layers: Defining Subgroups by More than One Variable. Summary. What’s Next? How to Obtain Subgroup Means. Layers: Defining Subgroups by More than One Variable. Options: Additional Statistics and Display of Labels. Exercises.   4.       Looking at Distributions Marathon Completion Times. Age and Gender. Marathon Times for Mature Runners. Summary. What’s Next? How to Explore Distributions. Explore Statistics. Graphical Displays. Options. Exercises.   5.       Counting Responses for Combinations of Variables Library Use and Education. Row and Column Percentages. Bar Charts. Adding Control Variables. Library Use and the Internet. Summary. What’s Next?. How to Obtain a Crosstabulation. Layers: Three or More Variables at Once. Cells: Percentages, Expected Counts, and Residuals. Bivariate Statistics. Format: Adjusting the Table Format. Exercises.   6.       Plotting Data Examining Population Indicators. Simple Scatterplots. Scatterplot Matrices. Overlay Plots. Three-Dimensional Plots. Identifying Unusual Points. Rotating 3-D Scatterplots. Summary. What’s Next? How to Obtain a Scatterplot. Obtaining a Simple Scatterplot. Obtaining an Overlay Scatterplot. Obtaining a Scatterplot Matrix. Obtaining a 3-D Scatterplot. Editing a Scatterplot. Exercises. III      Testing Hypotheses 1.       Evaluating Results from Samples From Sample to Population. A Computer Model. The Effect of Sample Size. The Binomial Test. Summary. What’s Next? Exercises.   2.       The Normal Distribution The Normal Distribution. Samples from a Normal Distribution. Means from a Normal Population. Are the Sample Results Unlikely? Testing a Hypothesis. Means from Non-Normal Distributions. Means from a Uniform Distribution. Summary. What’s Next? Exercises.   3.       Testing a Hypothesis about a Single Mean Examining the Data. The T Distribution. Calculating the T Statistic. Confidence Intervals. Other Confidence Levels. Confidence Interval for a Difference. Confidence Intervals and Hypothesis Tests. Null Hypotheses and Alternative Hypotheses. Rejecting the Null Hypothesis. Summary. What’s Next? How to Obtain a One-Sample T Test. Options: Confidence Level and Missing Data. Exercises.   4.       Testing a Hypothesis about Two Related Means Marathon Runners in Paired Designs. Looking at Differences. Is the Mean Difference Zero? Two Approaches. The Paired-Samples T Test. Are You Positive? Some Possible Problems. Examining Normality. Summary. What’s Next? How to Obtain a Paired-Samples T Test. Options: Confidence Level and Missing Data. Exercises.   5.       Testing a Hypothesis about Two Independent Means    Examining Television Viewing. Distribution of Differences. Standard Error of the Mean Difference. Computing the T Statistic. Output from the Two-Independent-Samples T Test. Confidence Intervals for the Mean Difference. Testing the Equality of Variances. Effect of Outliers. Introducing Education. Can You Prove the Null Hypothesis? Interpreting the Observed Significance Level. Power. Monitoring Death Rates. Does Significant Mean Important? Summary. What’s Next? How to Obtain an Independent-Samples T Test. Define Groups: Specifying the Subgroups. Options: Confidence Level and Missing Data. Exercises.   6.       One-Way Analysis of Variance    Hours in a Work Week. Describing the Data. Confidence Intervals for the Group Means. Testing the Null Hypothesis. Assumptions Needed for Analysis of Variance. Analyzing the Variability. Comparing the Two Estimates of Variability. The Analysis-of-Variance Table. Multiple Comparison Procedures. Television Viewing, Education, and Internet Use. Summary. What’s Next? How to Obtain a One-Way Analysis of Variance. Post Hoc Multiple Comparisons: Finding the Difference. Options: Statistics and Missing Data. Exercises.   7.       Two-Way Analysis of Variance    The Design. Examining the Data. Testing Hypotheses. Degree and Gender Interaction. Necessary Assumptions. Analysis-of-Variance Table. Testing the Degree-by-Gender Interaction. Testing the Main Effects. Removing the Interaction Effect. Where Are the Differences? Multiple Comparison Results. Checking Assumptions. A Look at Television. Extensions. Summary. What’s Next? How to Obtain a GLM Univariate Analysis. GLM Univariate: Model. GLM Univariate: Plots. GLM Univariate: Post Hoc. GLM Univariate: Options. GLM Univariate: Save. Exercises.   8.       Comparing Observed and Expected Counts    Freedom or Manners? Observed and Expected Counts. The Chi-Square Statistic. A Larger Table. Does College Open Doors? A One-Sample Chi-Square Test. Power Concerns. Summary. What’s Next?. Exercises.   9.       Nonparametric Tests    Nonparametric Tests for Paired Data. Sign Test. Wilcoxon Test. Who’s Sending E-mail? Mann-Whitney Test. Kruskal-Wallis Test. Friedman Test. Summary. How to Obtain Nonparametric Tests. Chi-Square Test. Binomial Test. Two-Independent-Samples Tests. Several-Independent-Samples Tests. Two-Related-Samples Tests. Several-Related-Samples Tests. Options: Descriptive Statistics and Missing Values. Exercises. IV     Examining Relationships 1.       Measuring Association    Components of the Justice System. Proportional Reduction in Error. Measures of Association for Ordinal Variables. Concordant and Discordant Pairs. Measures Based on Concordant and Discordant Pairs. Evaluating the Components. Measuring Agreement. Correlation-Based Measures. Measures Based on the Chi-Square Statistic. Summary. What’s Next? Exercises.   2.       Linear Regression and Correlation    Life Expectancy and Birthrate. Choosing the “Best” Line. Calculating the Least-Squares Line. Calculating Predicted Values and Residuals. Determining How Well the Line Fits. Explaining Variability. Some Warnings. Summary. What’s Next? How to Obtain a Linear Regression. Statistics: Further Information on the Model. Residual Plots: Basic Residual Analysis. Linear Regression Save: Creating New Variables. Linear Regression Options. Exercises.   3.       Testing Regression Hypotheses    The Population Regression Line. Assumptions Needed for Testing Hypotheses. Testing Hypotheses. Testing that the Slope Is Zero. Confidence Intervals for the Slope and Intercept. Predicting Life Expectancy. Predicting Means and Individual Observations. Standard Error of the Predicted Mean. Confidence Intervals for the Predicted Means. Prediction Intervals for Individual Cases. Summary. What’s Next? How to Obtain a Bivariate Correlation. Options: Additional Statistics and Missing Data. How to Obtain a Partial Correlation. Options: Additional Statistics and Missing Data. Exercises.   4.       Analyzing Residuals    Residuals. Standardized Residuals. Studentized Residuals. Checking for Normality. Checking for Constant Variance. Checking Linearity. Checking Independence. A Final Comment on Assumptions. Looking for Influential Points. Studentized Deleted Residuals. Summary. What’s Next? Exercises.   5.       Building Multiple Regression Models    Predicting Life Expectancy. The Model. Assumptions for Multiple Regression. Examining the Variables. Looking at How Well the Model Fits. Examining the Coefficients. Interpreting the Partial Regression Coefficients. Changing the Model. Partial Correlation Coefficients. Tolerance and Multicollinearity. Beta Coefficients. Building a Regression Model. Methods for Selecting Variables. Summary. What’s Next? How to Obtain a Multiple Linear Regression. Options: Variable Selection Criteria. Exercises.   6.       Multiple Regression Diagnostics    Examining Normality. Scatterplots of Residuals. Leverage. Changes in the Coefficients. Cook’s Distance. Plots against Independent Variables. Partial Regression Plot. Why Bother? Summary. Exercises.   V       Appendices Obtaining Charts in SPSS    Overview. Creating Bar Charts. Creating a Chart Comparing Groups of Cases. Data Summary Options. Creating a Chart Comparing Several Variables. Changing the Summary Statistic. Options in Creating Charts. Modifying Charts. Modifying Chart Options. Hints on Editing Charts. Saving Chart Files. Line and Area Charts. Pie Charts. Boxplots. Case Labels. Error Bar Charts. Histograms. Normal Probability Plots.   Transforming and Selecting Data    Data Transformations. Transformations at a Glance. Saving Changes. Delaying Processing of Transformations. Recoding Values. Computing Variables. The Calculator Pad. Automatic Recoding. Conditional Transformations. Case Selection. Temporary or Permanent Selection. Other Selection Methods.   The T Distribution    Areas under the NormalCurve    Descriptions of Data Files    Answers to Selected Exercises    Bibliography    Index   


Best Sellers


Product Details
  • ISBN-13: 9780131865358
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Height: 229 mm
  • No of Pages: 648
  • Spine Width: 25 mm
  • Width: 189 mm
  • ISBN-10: 0131865358
  • Publisher Date: 19 May 2005
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 992 gr


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
SPSS 13.0 Guide to Data Analysis
Pearson Education (US) -
SPSS 13.0 Guide to Data Analysis
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

SPSS 13.0 Guide to Data Analysis

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA