1. MOUSING WITH SPSS Frances Provan, Information Services, Edinburgh University Useful point and click

2. ASSESS YORK 2007 Mousing with SPSS2 All at sea

3. ASSESS YORK 2007 Mousing with SPSS3 There's a lot in SPSS

4. ASSESS YORK 2007 Mousing with SPSS4 Today’s blubber covers Things I like… Things I like… On the fly utilities On the fly utilities Wizards Wizards Open secrets Open secrets Old SPSS favourites Old SPSS favourites All by mouse All by mouse

5. ASSESS YORK 2007 Mousing with SPSS5 SPSS Versions Version comparison list from SPSS http://www.spss.com/software_version/  Lists changes between versions  and new features.  Goes back to version 6 What’s new for latest version http://www.spss.com/spss/whats_new.htm

6. ASSESS YORK 2007 Mousing with SPSS6 Some slide shorthand {version no. first appeared}  {14} introduced in version 14 Menu paths Menu > Sub Menu > Sub menu  e.g. File > Open > Data… i.e. choose the File menu, select Open from the File menu, then select Data... from the Open submenu Plus point Plus point something I like…

7. ASSESS YORK 2007 Mousing with SPSS7 Did you know you could… Define your own styles? Create charts from tables? Web pages from results? Document your data files? Get previews when building chart and tables?

8. ASSESS YORK 2007 Mousing with SPSS8 Nice newish graphs… Dot plots (about time too!) {13}  Graphs > Scatter/dot…  Then choose Simple Dot Population pyramids {13}  Graphs > Population Pyramid Panels for ordinary graphs {13}

9. ASSESS YORK 2007 Mousing with SPSS9 Dot plot

10. ASSESS YORK 2007 Mousing with SPSS10 Population Pyramids

11. ASSESS YORK 2007 Mousing with SPSS11 Population Pyramids: categories Each category -a separate pane 3 level variable

12. ASSESS YORK 2007 Mousing with SPSS12 Panels Lovely idea… 1st in interactive plots Now Rows and columns {14} Or Multiple factors  Separate or nested Great for comparisons Great for comparisons

13. ASSESS YORK 2007 Mousing with SPSS13 Dot plots: row panels

14. ASSESS YORK 2007 Mousing with SPSS14 Dot plots: Column Panels Panelled in columns

15. ASSESS YORK 2007 Mousing with SPSS15 Dot plots: Row and Column Panels

16. ASSESS YORK 2007 Mousing with SPSS16 Population Pyramids: Row Panels Single Row factor

17. ASSESS YORK 2007 Mousing with SPSS17 Your own style  Pivot tables & Table looks  Interactive Charts & Chart looks  Charts & chart templates  Edit graph/chart/table to access  i.e. Double click on it  Change your style with  Edit > Options…  Charts, Interactive or Pivot Tables tab

18. ASSESS YORK 2007 Mousing with SPSS18 Pivot tables Double click to edit Change the look  Format > Tablelooks… Change rows, columns & layers  Pivot > Pivoting Trays Keep dimension changes  Pivot > Bookmarks

19. ASSESS YORK 2007 Mousing with SPSS19 Tablelooks Default Academic

20. ASSESS YORK 2007 Mousing with SPSS20 Chart from a table Double click on the table Right click, Create Graph > Bar Be careful what is selected  Total lines look daft  Use layers to be selective

21. ASSESS YORK 2007 Mousing with SPSS21 Bar chart from table

22. ASSESS YORK 2007 Mousing with SPSS22 Interactive graphs {long time} Graphs > Interactive > Bar A lot of the ‘new’ graph features already there Panel variables Chart looks Exploratory data analysis Exploratory data analysis Mmm.. Leopard skin barcharts.. Mmm.. Leopard skin barcharts..  Tastefully tacky

23. ASSESS YORK 2007 Mousing with SPSS23 Grrraphs - to the leopard skin Double click to open Select object  right clicking on bar  select all bars Choose Fill button  Pattern .bmp image Or choose  Format > chart properties  Filled Objects tab

24. ASSESS YORK 2007 Mousing with SPSS24 Chartlooks & Chart templates Available when editing Interactive Graphs  Format > Chartlooks… Chart builder  File > Save Chart Template  File > Apply Chart Template Use your own style by default  Edit > Options

25. ASSESS YORK 2007 Mousing with SPSS25 Grrraph to Dante

26. ASSESS YORK 2007 Mousing with SPSS26 Builders Custom tables {12?}  Analyze > Tables > Custom Tables.. Chart builder {14}  Graphs > Chart Builder…  Still new  Not sure I like them yet…

27. ASSESS YORK 2007 Mousing with SPSS27 A Customized table With academic table look…

28. ASSESS YORK 2007 Mousing with SPSS28 A built stacked bar chart

29. ASSESS YORK 2007 Mousing with SPSS29 Exporting Output File > Export Export as:  HTML - web pages {7}  Anyone can read it  ‘clean’ HTML  separate picture files  Word {11.5}  All in one file  Big files.  Powerpoint (see later) {13}  Excel (tables only) {11.5}  PDF {15} No copy and paste No copy and paste

30. ASSESS YORK 2007 Mousing with SPSS30 Controlled output export Can specify:  Amount of output:  All output (includes hidden stuff)  All Visible output  Only selected objects  Charts, documents or both  Image types for charts  Output types, as above Use in conjunction with OMS {14}  Utilities > OMS Control Panel  Utilities > OMS Identifiers

31. ASSESS YORK 2007 Mousing with SPSS31 Export to MS Powerpoint {13} Not everything translates, but you get:  Pivot tables  charts {14}  Maps  Trees Used it for some slides…

32. ASSESS YORK 2007 Mousing with SPSS32 Table straight to powerpoint

33. ASSESS YORK 2007 Mousing with SPSS33 Crosstabs output for: Analyze > Descriptive Statistics > Crosstabs Variables  Row is happy  Column is life  Layer variable is region Count & column statistics from Cells Chi-squared tests from Statistics Ticked Clustered bar chart

34. ASSESS YORK 2007Mousing with SPSS34 Case processing

35. ASSESS YORK 2007Mousing with SPSS35 Crosstabs table

36. ASSESS YORK 2007Mousing with SPSS36 Chi-squared tests

37. ASSESS YORK 2007Mousing with SPSS37 Barchart 1

38. ASSESS YORK 2007Mousing with SPSS38 Barchart 2

39. ASSESS YORK 2007Mousing with SPSS39 Barchart 3

40. ASSESS YORK 2007 Mousing with SPSS40 On the fly Visual bander {12}  Transform > Visual Bander Define Variable properties  Data > Define Variable Properties Copy data properties  Data > Copy Data Properties Automatic recode {forever}  Transform > Automatic Recode

41. ASSESS YORK 2007 Mousing with SPSS41 Visual Bander {12} Interactive tool to categorise data Cut points  Manually defined  Equal ranges  Equal counts  Using mean and standard deviations Labelling, either automatic or manual Love combined recode & labelling Love combined recode & labelling

42. ASSESS YORK 2007 Mousing with SPSS42 Define Variable Properties {?} Easier than Variable View Easier than Variable View Use it to:  Type labels  View whole definition  Copy definitions to and from other variables

43. ASSESS YORK 2007 Mousing with SPSS43 Automatic Recode {forever} String to numeric Large numeric codes Doesn’t miss out values Sorts out messy codes Keeps coding to use again {recent} Keeps coding to use again {recent}

44. ASSESS YORK 2007 Mousing with SPSS44 Data file stuff Showing data file information  Display data file information > external file  Display data file information > Working file Data file comments  Utilities > Data File Comments Multiple open datasets {14}

45. ASSESS YORK 2007 Mousing with SPSS45 File information

46. ASSESS YORK 2007 Mousing with SPSS46 Variable Information

47. ASSESS YORK 2007 Mousing with SPSS47 Value Labels

48. ASSESS YORK 2007 Mousing with SPSS48 Data File Comments Just add text to dialog box Time stamped Use comments to:  Describe where data has come from  Keep codebook with the data  Document changes to data file Can print to output Documents command is useful Remains with your SPSS data file Remains with your SPSS data file

49. ASSESS YORK 2007 Mousing with SPSS49 Comments box

50. ASSESS YORK 2007 Mousing with SPSS50 The wizards Date and time {13}  Transform > Date/Time Restructure data {11.5}  Data > Restructure… ODBC & read text  File > Open Database  File > Read Text Data.. Sample Wizard  Analyze > Complex Samples

51. ASSESS YORK 2007 Mousing with SPSS51 Date/Time wizard {13} Date format very useful Do you know how difficult it used to be to calculate age from date of birth Loads of things you could only do with syntax before.

52. ASSESS YORK 2007 Mousing with SPSS52 Restructure wizard {11.5} ‘long' data files into 'wide' files 'wide' data files into 'long' files cases become variables, variables become cases Indexing Great for repeated records Great for repeated records

53. ASSESS YORK 2007 Mousing with SPSS53 Identify Duplicate Cases {12} Data > Identify Duplicate Cases… Filter out duplicates Create indicator to use elsewhere  E.g. Data > Select Cases … to delete duplicates Creates indexes One stop shop One stop shop  easier than sort cases & aggregate

54. ASSESS YORK 2007 Mousing with SPSS54 Identify duplicate cases

55. ASSESS YORK 2007 Mousing with SPSS55 For the enquiring mind Online help  Help > Topics or Tutorial or Case Studies  Help button on every dialog box  Help about the procedure  Details on choices Right click (or Mac, Control-click)  To see what options you have  Context sensitive menus  To get a bit of background

56. ASSESS YORK 2007 Mousing with SPSS56 And so much more… $casenum  System variable - Current case order, Copy to record current order, Sort by copy to return to that order  Use with Transform > Compute Merge/Match Files  Merging two data files, IN for case source, BY matches,  Data > Merge Files > Add Cases or Add Variables Count  Counts across range of variables, Good for Multiple Response, Also non response (missing values)  Transform > Compute Frequencies  Lists absolutely everything, User & System missing values, Each separate value  Analyze >Descriptive Statistics > Frequencies Aggregate  Checking duplicates (Superceded now), FIRST and LAST within pre-sorted groups, string variables (command only)  Condenses data by any variable, Recently added {14}, Automatic matching in, New datasets in SPSS session  Data > Aggregate.. Lag  gets next in sequence, Great for selecting duplicates,  Use with Data > Sort Cases or Transform > Compute $casenum  System variable - Current case order, Copy to record current order, Sort by copy to return to that order  Use with Transform > Compute Merge/Match Files  Merging two data files, IN for case source, BY matches,  Data > Merge Files > Add Cases or Add Variables Count  Counts across range of variables, Good for Multiple Response, Also non response (missing values)  Transform > Compute Frequencies  Lists absolutely everything, User & System missing values, Each separate value  Analyze >Descriptive Statistics > Frequencies Aggregate  Checking duplicates (Superceded now), FIRST and LAST within pre-sorted groups, string variables (command only)  Condenses data by any variable, Recently added {14}, Automatic matching in, New datasets in SPSS session  Data > Aggregate.. Lag  gets next in sequence, Great for selecting duplicates,  Use with Data > Sort Cases or Transform > Compute $casenum  System variable - Current case order, Copy to record current order, Sort by copy to return to that order  Use with Transform > Compute Merge/Match Files  Merging two data files, IN for case source, BY matches,  Data > Merge Files > Add Cases or Add Variables Count  Counts across range of variables, Good for Multiple Response, Also non response (missing values)  Transform > Compute Frequencies  Lists absolutely everything, User & System missing values, Each separate value  Analyze >Descriptive Statistics > Frequencies Aggregate  Checking duplicates (Superceded now), FIRST and LAST within pre-sorted groups, string variables (command only)  Condenses data by any variable, Recently added {14}, Automatic matching in, New datasets in SPSS session  Data > Aggregate.. Lag  gets next in sequence, Great for selecting duplicates,  Use with Data > Sort Cases or Transform > Compute $casenum  System variable - Current case order, Copy to record current order, Sort by copy to return to that order  Use with Transform > Compute Merge/Match Files  Merging two data files, IN for case source, BY matches,  Data > Merge Files > Add Cases or Add Variables Count  Counts across range of variables, Good for Multiple Response, Also non response (missing values)  Transform > Compute Frequencies  Lists absolutely everything, User & System missing values, Each separate value  Analyze >Descriptive Statistics > Frequencies Aggregate  Checking duplicates (Superceded now), FIRST and LAST within pre-sorted groups, string variables (command only)  Condenses data by any variable, Recently added {14}, Automatic matching in, New datasets in SPSS session  Data > Aggregate.. Lag  gets next in sequence, Great for selecting duplicates,  Use with Data > Sort Cases or Transform > Compute $casenum  System variable - Current case order, Copy to record current order, Sort by copy to return to that order  Use with Transform > Compute Merge/Match Files  Merging two data files, IN for case source, BY matches,  Data > Merge Files > Add Cases or Add Variables Count  Counts across range of variables, Good for Multiple Response, Also non response (missing values)  Transform > Compute Frequencies  Lists absolutely everything, User & System missing values, Each separate value  Analyze >Descriptive Statistics > Frequencies Aggregate  Checking duplicates (Superceded now), FIRST and LAST within pre-sorted groups, string variables (command only)  Condenses data by any variable, Recently added {14}, Automatic matching in, New datasets in SPSS session  Data > Aggregate.. Lag  gets next in sequence, Great for selecting duplicates,  Use with Data > Sort Cases or Transform > Compute $casenum  System variable - Current case order, Copy to record current order, Sort by copy to return to that order  Use with Transform > Compute Merge/Match Files  Merging two data files, IN for case source, BY matches,  Data > Merge Files > Add Cases or Add Variables Count  Counts across range of variables, Good for Multiple Response, Also non response (missing values)  Transform > Compute Frequencies  Lists absolutely everything, User & System missing values, Each separate value  Analyze >Descriptive Statistics > Frequencies Aggregate  Checking duplicates (Superceded now), FIRST and LAST within pre- sorted groups, string variables (command only)  Condenses data by any variable, Recently added {14}, Automatic matching in, New datasets in SPSS session  Data > Aggregate.. Lag  gets next in sequence, Great for selecting duplicates,  Use with Data > Sort Cases or Transform > Compute $casenum  System variable - Current case order, Copy to record current order, Sort by copy to return to that order  Use with Transform > Compute Merge/Match Files  Merging two data files, IN for case source, BY matches,  Data > Merge Files > Add Cases or Add Variables Count  Counts across range of variables, Good for Multiple Response, Also non response (missing values)  Transform > Compute Frequencies  Lists absolutely everything, User & System missing values, Each separate value  Analyze >Descriptive Statistics > Frequencies Aggregate  Checking duplicates (Superceded now), FIRST and LAST within pre-sorted groups, string variables (command only)  Condenses data by any variable, Recently added {14}, Automatic matching in, New datasets in SPSS session  Data > Aggregate.. Lag  gets next in sequence, Great for selecting duplicates,  Use with Data > Sort Cases or Transform > Compute

57. Those were my Mousing Tips

58. ASSESS YORK 2007 Mousing with SPSS58 Fallen asleep?

59. ASSESS YORK 2007 Mousing with SPSS59 Useful urls ASSESS web site http://www.spssusers.co.uk/ SPSS web site: http://www.spss.com/ help system, on-line manuals SPSS mailing list, http://www.listserv.uga.edu/archives/ spssx-l.html

60. ASSESS YORK 2007 Mousing with SPSS60

61. ASSESS YORK 2007 Mousing with SPSS61