factorial survey experiments (quantitative applications in the social sciences)

mind-and-cognition

• FSs force respondents to consider possible trade-offs; the respondents must simultaneously evaluate all the characteristics, preventing them from assigning equal importance to each.

  FSE-RC-016

• The first task in the design of FSs is to decide which variable dimensions and levels to use. The main purpose of FSs is to test social theories.

  FSE-RC-022

• Data structure of vignette variables nested within respondents requires techniques for calculating adjusted standard errors; otherwise, effects of respondent variables will often be incorrectly estimated.

  VLA-57200DFF-RC-086

obedience-and-authority

• Researchers can conduct randomized comparative experiments within sample surveys, facilitating both valid causal inferences for the subjects and generalization beyond them.

  FSE-RC-006

• The FS method can help overcome restrictions of experimental studies relying on convenience samples, increasing generalizability of results to more heterogeneous respondent samples.

  VLA-57200DFF-RC-017

ambition-and-status

• FS methods assess both the influence of dimensions and their exact monetary trade-offs, regressing fairness evaluations on vignette dimensions such as age or sex.

  VLA-57200DFF-RC-013