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Using a different version of the software

From: SPSS Statistics Essential Training (2011)

Video: Using a different version of the software

Before we get going, let me mention something about versioning in SPSS. SPSS has been around for over 40 years and has been revised frequently. It's even has changed its name a few times, from Statistical Package for the Social Sciences--hence the initials SPSS--to just the letters SPSS, to Predictive Analytic Software, or PASW, and then since it was purchased by IBM a few years ago, it has been known as IBM SPSS Statistics. Now, the movies for this course were created with Version 19 of SPSS, and new versions roll along about once per year now.

Using a different version of the software

Before we get going, let me mention something about versioning in SPSS. SPSS has been around for over 40 years and has been revised frequently. It's even has changed its name a few times, from Statistical Package for the Social Sciences--hence the initials SPSS--to just the letters SPSS, to Predictive Analytic Software, or PASW, and then since it was purchased by IBM a few years ago, it has been known as IBM SPSS Statistics. Now, the movies for this course were created with Version 19 of SPSS, and new versions roll along about once per year now.

However, only one of the movies in this course relies on any features that are brand new to this version of SPSS-- that's the movie on automatic linear modeling by the way--and even then, I show how to do the same things using commands that have been in essentially every version of SPSS ever made. Everything else in this course relies on procedures that have been in SPSS for at least several years and several versions. So while this course was created using the current version of SPSS, it applies almost universally to previous versions of SPSS and no doubt to future versions of SPSS as well.

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SPSS Statistics Essential Training (2011)

52 video lessons · 18800 viewers

Barton Poulson
Author

 
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  1. 2m 58s
    1. Welcome
      1m 5s
    2. Using the exercise files
      40s
    3. Using a different version of the software
      1m 13s
  2. 19m 0s
    1. Taking a first look at the interface
      11m 49s
    2. Reading data from a spreadsheet
      7m 11s
  3. 21m 54s
    1. Creating bar charts for categorical variables
      7m 18s
    2. Creating pie charts for categorical variables
      2m 54s
    3. Creating histograms for quantitative variables
      5m 45s
    4. Creating box plots for quantitative variables
      5m 57s
  4. 33m 10s
    1. Recoding variables
      5m 33s
    2. Recoding with visual binning
      5m 33s
    3. Recoding by ranking cases
      5m 26s
    4. Computing new variables
      5m 37s
    5. Combining or excluding outliers
      5m 21s
    6. Transforming outliers
      5m 40s
  5. 28m 12s
    1. Selecting cases
      6m 44s
    2. Using the Split File command
      5m 12s
    3. Merging files
      5m 33s
    4. Using the Multiple Response command
      10m 43s
  6. 22m 14s
    1. Calculating frequencies
      8m 43s
    2. Calculating descriptives
      5m 31s
    3. Using the Explore command
      8m 0s
  7. 16m 3s
    1. Calculating inferential statistics for a single proportion
      6m 6s
    2. Calculating inferential statistics for a single mean
      5m 39s
    3. Calculating inferential statistics for a single categorical variable
      4m 18s
  8. 30m 43s
    1. Creating clustered bar charts
      7m 10s
    2. Creating scatterplots
      5m 8s
    3. Creating time series
      3m 24s
    4. Creating simple bar charts of group means
      4m 17s
    5. Creating population pyramids
      3m 0s
    6. Creating simple boxplots for groups
      3m 3s
    7. Creating side-by-side boxplots
      4m 41s
  9. 45m 28s
    1. Calculating correlations
      8m 17s
    2. Computing a bivariate regression
      6m 27s
    3. Creating crosstabs for categorical variables
      6m 34s
    4. Comparing means with the Means procedure
      6m 33s
    5. Comparing means with the t-test
      6m 4s
    6. Comparing means with a one-way ANOVA
      6m 30s
    7. Comparing paired means
      5m 3s
  10. 24m 30s
    1. Creating clustered bar charts for frequencies
      6m 34s
    2. Creating clustered bar charts for means
      3m 45s
    3. Creating scatterplots by group
      4m 13s
    4. Creating 3-D scatterplots
      4m 25s
    5. Creating scatterplot matrices
      5m 33s
  11. 30m 57s
    1. Using Automatic Linear Models
      11m 52s
    2. Calculating multiple regression
      9m 3s
    3. Comparing means with a two-factor ANOVA
      10m 2s
  12. 29m 29s
    1. Formatting descriptive statistics
      6m 1s
    2. Formatting correlations
      7m 49s
    3. Formatting regression
      10m 19s
    4. Exporting charts and tables
      5m 20s
  13. 51s
    1. What's next
      51s

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