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Building a Strong Foundation in Survey Research

Do survey researchers who know SPSS have higher job satisfaction than survey researchers who don’t?

Look, it’s not for everybody—not everyone who does survey research needs to know SPSS. But for some researchers, me included, knowing SPSS sure can make our work more pleasant and efficient.

So, how to decide if gaining some new SPSS skills might boost your job satisfaction? Consider these three questions:

  1. Are you on a team that includes data analysts who work in SPSS, such that you want to be able to better make requests and understand results?
  1. Do you like to collaborate with others on data analysis, such that you can compare results?

If you answered “yes” to any of these questions, then building a strong foundation in SPSS may be worthwhile for you. It will take some work, but it is doable. Consider the following list of common SPSS functions as a way to set some learning objectives:

  • Super basic: Creating/name/recoding variables, Descriptives, Crosstabs, Chi-square
  • Basic: ANOVA, T-tests, Weighting
  • A little less basic: Factor analysis, Multi-level crosstabs, Regression

And if you already have the “super basics” and “basics” down, and want to strengthen your foundation some more, please consider the SPSS 201 course, which  starts January 9th. Get hands-on in our virtual classroom, as the instructor takes you step-by-step, with real-time demonstrations and coaching.

About SPSS 201 

  • Prerequisites: Students must have completed the Intro to SPSS course or equivalent. All students must have an SPSS license, version 18 or higher. If you don’t have an SPSS license, various online stores sell them, including Amazon.
  • When: January 9, 16, 23, 30, 1 to 3 pm eastern
  • Fee: $475 per student (use discount code 50SPSS, to get $50 off. Code expires December 28th, midnight eastern).
  • Save your seat: Registration link

And if you have any colleagues who are just getting started with SPSS, here is a link to a 2-hour lesson from Intro to SPSS. This recording covers intro-level lessons on descriptives, weighting, ANOVA, and t-tests (it’s from Day 4 of the 4-day intro-level course).

 

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Kathryn Korostoff

Kathryn Korostoff is founder and lead instructor at Research Rockstar. Over the past 25 years, she has personally directed more than 600 primary market research projects and published over 100 bylined articles in magazines. She is also a professor at Boston University, where she teaches grad students how to analyze and report quantitative data.

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