Data analysis with IBM SPSS statistics: implementing data modeling, descriptive statistics and ANOVA

Cover -- Copyright -- Credits -- About the Authors -- Acknowledgement -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Installing and Configuring SPSS -- The SPSS installation utility -- Installing Python for the scripting -- Licensing SPS...

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Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Stehlik-Barry, Kenneth (VerfasserIn), Babinec, Anthony J. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham ; Mumbai Packt Publishing 2017
Online-Zugang:FHD01
Zusammenfassung:Cover -- Copyright -- Credits -- About the Authors -- Acknowledgement -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Installing and Configuring SPSS -- The SPSS installation utility -- Installing Python for the scripting -- Licensing SPSS -- Confirming the options available -- Launching and using SPSS -- Setting parameters within the SPSS software -- Executing a basic SPSS session -- Summary -- Chapter 2: Accessing and Organizing Data -- Accessing and organizing data overview -- Reading Excel files -- Reading delimited text data files -- Saving IBM SPSS Statistics files -- Reading IBM SPSS Statistics files -- Demo - first look at the data - frequencies -- Variable properties -- Variable properties - name -- Variable properties - type -- Variable properties - width -- Variable properties - decimals -- Variable properties - label -- Variable properties - values -- Variable properties - missing -- Variable properties - columns -- Variable properties - align -- Variable properties - measure -- Variable properties - role -- Demo - adding variable properties to the Variable View -- Demo - adding variable properties via syntax -- Demo - defining variable properties -- Summary -- Chapter 3: Statistics for Individual Data Elements -- Getting the sample data -- Descriptive statistics for numeric fields -- Controlling the descriptives display order -- Frequency distributions -- Discovering coding issues using frequencies -- Using frequencies to verify missing data patterns -- Explore procedure -- Stem and leaf plot -- Boxplot -- Using explore to check subgroup patterns -- Summary -- Chapter 4: Dealing with Missing Data and Outliers -- Outliers -- Frequencies for histogram and percentile values -- Descriptives for standardized scores -- The Examine procedure for extreme values and boxplot
Detecting multivariate outliers -- Missing data -- Missing values in Frequencies -- Missing values in Descriptives -- Missing value patterns -- Replacing missing values -- Summary -- Chapter 5: Visually Exploring the Data -- Graphs available in SPSS procedures -- Obtaining bar charts with frequencies -- Obtaining a histogram with frequencies -- Creating graphs using chart builder -- Building a scatterplot -- Create a boxplot using chart builder -- Summary -- Chapter 6: Sampling, Subsetting, and Weighting -- Select cases dialog box -- Select cases - If condition is satisfied -- Example -- If condition is satisfied combined with Filter -- If condition is satisfied combined with Copy -- If condition is satisfied combined with Delete unselected cases -- The Temporary command -- Select cases based on time or case range -- Using the filter variable -- Selecting a random sample of cases -- Split File -- Weighting -- Summary -- Chapter 7: Creating New Data Elements -- Transforming fields in SPSS -- The RECODE command -- Creating a dummy variable using RECODE -- Using RECODE to rescale a field -- Respondent's income using the midpoint of a selected category -- The COMPUTE command -- The IF command -- The DO IF/ELSE IF command -- General points regarding SPSS transformation commands -- Summary -- Chapter 8: Adding and Matching Files -- SPSS Statistics commands to merge files -- Example of one-to-many merge - Northwind database -- Customer table -- Orders table -- The Customer-Orders relationship -- SPSS code for a one-to-many merge -- Alternate SPSS code -- One-to-one merge - two data subsets from GSS2016 -- Example of combining cases using ADD FILES -- Summary -- Chapter 9: Aggregating and Restructuring Data -- Using aggregation to add fields to a file -- Using aggregated variables to create new fields -- Aggregating up one level
Preparing the data for aggregation -- Second level aggregation -- Preparing aggregated data for further use -- Matching the aggregated file back to find specific records -- Restructuring rows to columns -- Patient test data example -- Performing calculations following data restructuring -- Summary -- Chapter 10: Crosstabulation Patterns for Categorical Data -- Percentages in crosstabs -- Testing differences in column proportions -- Crosstab pivot table editing -- Adding a layer variable -- Adding a second layer -- Using a Chi-square test with crosstabs -- Expected counts -- Context sensitive help -- Ordinal measures of association -- Interval with nominal association measure -- Nominal measures of association -- Summary -- Chapter 11: Comparing Means and ANOVA -- SPSS procedures for comparing Means -- The Means procedure -- Adding a second variable -- Test of linearity example -- Testing the strength of the nonlinear relationship -- Single sample t-test -- The independent samples t-test -- Homogeneity of variance test -- Comparing subsets -- Paired t-test -- Paired t-test split by gender -- One-way analysis of variance -- Brown-Forsythe and Welch statistics -- Planned comparisons -- Post hoc comparisons -- The ANOVA procedure -- Summary -- Chapter 12: Correlations -- Pearson correlations -- Testing for significance -- Mean differences versus correlations -- Listwise versus pairwise missing values -- Comparing pairwise and listwise correlation matrices -- Pivoting table editing to enhance correlation matrices -- Creating a very trimmed matrix -- Visualizing correlations with scatterplots -- Rank order correlations -- Partial correlations -- Adding a second control variable -- Summary -- Chapter 13: Linear Regression -- Assumptions of the classical linear regression model -- Example - motor trend car data
Beschreibung:1 Online-Ressource (419 Seiten)
ISBN:9781787280700

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