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The authors measured the economic relevance of relational outcomes (ERRO), by substracting the participants rating for good versus bad relationships, which rated from -10 (much worse) to 10 (much better). The data are presented in long format for each of the three items/services split by category.

Usage

HS22_P

Format

A data frame with 5808 rows and 7 variables:

id

[factor] participant identifier

score

[double] ERRO score

item

[factor] item

category

[factor] category of the item, either product or service

negotcl

[factor] took negotiation class

gender

[factor] gender of participant, either female or male

age

[integer] age of the participant

Source

Research Box 366, https://researchbox.org/366, licensed under CC BY 4.0

References

Hart E, Schweitzer ME. (2022) When we should care more about relationships than favorable deal terms in negotiation: The economic relevance of relational outcomes (ERRO)'. Organizational Behavior and Human Decision Processes. 168:104108. doi:10.1016/j.obhdp.2021.104108

Examples

# Repeated measure ANOVA
(rmod <- afex::aov_ez(
    id = "id",
    dv = "score",
    within = "item",
    data = HS22_P))
#> Anova Table (Type 3 tests)
#> 
#> Response: score
#>   Effect            df   MSE        F  ges p.value
#> 1   item 4.80, 4637.63 22.16 7.67 *** .002   <.001
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘+’ 0.1 ‘ ’ 1
#> 
#> Sphericity correction method: GG 
emm <- emmeans::emmeans(object = rmod, specs = "item")
emmeans::contrast(emm, list(service_vs_product = c(1, -1, 1, -1, 1, -1)/3))
#>  contrast           estimate    SE  df t.ratio p.value
#>  service_vs_product    0.658 0.141 967   4.658  <.0001
#>