TITLE:    SMBC: five-factor CFA and structural model
! Please cite: Schivinski & Dabrowski (2015),
! Journal of Research in Interactive Marketing 9(1), 31-53.
! https://doi.org/10.1108/JRIM-02-2014-0007   Materials: schivinski.com

DATA:     FILE = smbc.dat;          ! replace with your data file

VARIABLE: NAMES = fc1-fc4 ug1-ug4 bas1-bas4 bl1-bl3 pq1-pq3;
          USEVARIABLES = fc1-fc4 ug1-ug4 bas1-bas4 bl1-bl3 pq1-pq3;
          MISSING = ALL (-99);

ANALYSIS: ESTIMATOR = ML;           ! maximum likelihood, as in the article

MODEL:
  FC BY fc1-fc4;
  UG BY ug1-ug4;
  BAW BY bas1-bas4;
  BL BY bl1-bl3;
  PQ BY pq1-pq3;

          ! Structural model (Figure 2): remove the "!" below
          ! BAW ON FC UG;
          ! BL ON FC UG BAW;
          ! PQ ON FC UG BAW;

OUTPUT:   STANDARDIZED MODINDICES;

! BL1 and BL2 are reverse-scored: recode them as 8 - x before the analysis.
! Industry comparison (Table III): add the grouping variable, e.g.
!   GROUPING = industry (1 = beverages 2 = clothing 3 = mobile);
! and compare labelled paths with MODEL TEST or MODEL CONSTRAINT.