Name Letter Task (NLT) SPSS Syntax for implicit self-esteem (ISE)

NLT_SYNTAX.sps Example NLT_INPUT.sav file Example NLT_OUTPUT.sav file

Please cite: LeBel, E. P., & Gawronski, B. (2009). How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name-letter task. European Journal of Personality, 23, 85-106.

This syntax computes NLT scores for 5 different scoring algorithms that have been identified in the literature as of August 15, 2008. The syntax automatically calculates letter baselines for all relevant algorithms and automatically estimates Cronbach's alphas for the 5 algorithms. The included algorithms are (for a more detailed explanation of the algorithms, see LeBel & Gawronski, 2009):

Algorithm Popularized or used by Algebraic computation
1. Baseline-corrected algorithm (B-algorithm) Kitayama & Karasawa (1997) initialsown – initialsbaseline
2. Self-corrected algorithm (S-algorithm) Schröder-Abé, Rudolph, Wiesner, & Schütz (2007) initialsown – meannon-initials
3. Double-correction algorithm (D-algorithm) Gawronski, Bodenhausen, & Becker (2007) (initialsown – initialsbaseline)/meanallLetters
4. Ipsatized double-correction algorithm (I-algorithm) Baccus, Baldwin, & Packer (2004) (initialsown – meannon-initials) – initialsipsatizedBaseline
5. Z-transformed double-correction algorithm (Z-algorithm) De Raedt, Schact, Franck, & De Houwer (2006) Zinitialsown – Zinitialsbaseline

INSTRUCTIONS:
Once your input data file fulfills the following two requirements, simply run the entire syntax. The two requirements are that your input file contains:

  1. 26 variables (named A through Z) containing participant letter ratings for all letters of the alphabet.
  2. A variable (named initials) containing participants' first and second initials without spaces, periods, or any other punctuations
    [OR two variables (named init1 and init2) containing participants' first and second initials, respectively (again without punctuations).]
    Example input data file:

Also, any participant with missing data on one (or more) letter rating OR missing initials information is excluded from the analyses.

The aggregated NLT scores for the five algorithms are outputted as nltB (B-algorithm), nltS (S-algorithm), nltD (D-algorithm), nltI (I-algorithm), and nltZ (Z-algorithm). These scores are the last five columns in the output file (NLT_OUTPUT.SAV).

 

 

  

Related:

NLT IPE syntax
Social Psychology | Department of Psychology | The University of Western Ontario
 

Social Science Centre, London, Ontario, Canada, N6A 5C2

© 2011 Etienne P. LeBel