Introduction to Data Transformation in SPSS Using the

Introduction to Data Transformation in SPSS Using the 2018 Labour Force PUMF (CHASS Annual Edition) ACCOLEDS 2018 Wednesday, November 28, 2018 Berenica Vejvoda, Data Services Team Librarian, SFU bvejvoda@sfu. ca

SPSS Pros and Cons PROS CONS Point and click for most purposes versus command line and easy syntax creation with "paste" Syntax isn't intuitive Supports most basic statistical tests Advanced modelling / add ons cost extra (e. g. AMOS and SPSS Missing Values) Can open different data types (e. g. SAS, Stata) Proprietary – need license; cost 64 -bit version no case limit and 32000 variables Can get slow with larger datasets Strong university community & explanatory modelling Weaker on specialized functions used by big enterprise (e. g. finance functions such as depreciation) Extensive documentation and official support Slow to adapt to new techniques (unlike R and Python which have big communities to develop libraries)

Objectives • • • Pros and Cons Navigate SPSS using both the menus and dialogs Use the Syntax Editor and SPSS commands Import data using syntax files Missing values Weight variables Select cases and using conditional expressions Recode variables Calculate unemployment rate Cross tabulations

Labour Force Survey • Monthly STC household survey. • Since its inception in 1945, the objectives of the LFS have been to divide the working-age population into three categories – employed, unemployed, and not in the labour force • Major labour market trends, such as shifts in employment across industrial sectors, hours worked, labour force participation and unemployment rates. • Individuals who are representative of the civilian, non-institutionalized population 15 years of age or older. • Cross-sectional • User Guide: https: //www 150 -statcan-gc-ca. proxy. lib. sfu. ca/n 1/pub/71 -543 -g/71 -543 -g 2018001 -eng. htm

Labour Force Survey

STC Nesstar, ODESI and Abacus Nesstar: Monthly

SDA @ CHASS

SDA @ CHASS