Region 2 contains one or two stages: score using the pc and you may doing brand new PLS. This figure gift ideas a schematic depiction of your stimulus and you can score task type of Part 2 (hate). Each trait are followed by a following negative event, that was presented to possess 2000 ms or up until reaction. The major range shown an objective individual, and also the conclusion expressed a terrible enjoy. A beneficial a lot of ms inter-stimulus period is interleaved between per feature and you will negative skills.
Very first, users were asked to read through a story and you may that is amazing it had been the fresh new protagonist (come across Supplementary Issue). 2nd, the players was basically questioned so you can keep in mind relevant key information about on their own from the addressing sentences you start with “I am…” After this, players was indeed trained to see around three vignettes outlining around three some other factors. For every vignette inside it the latest protagonist and around three purpose. Professionals have been questioned in order to recall the pointers relating to for each 
address by way of free bear in mind. People have been following expected to imagine that they was indeed in the a connection to the address.
Studies and Dimensions
I put E-Perfect dos.0 presenting the items inside the a random order [i included 15 core affairs from for each and every vignette to the reading material each and every address (see Supplementary Dining table S1)]. Pursuing the professionals studied the materials, it completed new score task using the pc after which done new PLS in Area step 1 and you will Area dos. Users offered one like get per goods for each address person in Part 1 and something hate score per negative experience for every single target member of Region 2, plus two PLS score before and after this new bad incidents.
To some extent step one, i questioned professionals to assume themselves since the protagonist when reading happening, then speed for every feature displayed with respect to how much like it experienced to the an objective according to the demonstrated possess of the about three needs (step one = none; 6 = extreme like). After that, we utilized the PLS determine participants’ thinking off like with the three needs.
To some extent 2 of one’s experiment, the back ground services out of A, B, and you can C were unchanged; not, we written vignettes in which the aim deceived the protagonist, eg with an event with someone of one’s contrary gender (see the bad incidents during the Second Dining table S1). Users were upcoming asked to rates exactly how much hate they considered on the Good, B, and you can C (step 1 = none; 6 = tall dislike). Upon completion out-of Part 2, members completed the PLS once more to evaluate their thinking off love into the three goals.
Analysis
We made use of several analyses to check all of our hypotheses. The newest scores away from like recommendations, dislike analysis, as well as the PLS affairs was averaged contained in this victims before the analyses. Specifically, we utilized you to definitely-means constant actions of analysis away from difference (A; like critiques, hate recommendations, and you can PLS scores to own objectives A great, B, and you will C; this type of analyses was indeed held having problems having and you will in place of betrayal (Area step 1 and 2). Easy feeling evaluating was in fact performed if the telecommunications perception is tall.
On top of that, i used good 3 (target: A great, B, and you can C) ? 2 (time: in advance of against. after) two-method repeated procedures ANOVA to analyze the level of like level observed of the protagonist about the 3 targets in advance of and you will following the bad occurrences. Second, i utilized a great step three (target: A good, B, and you can C) ? dos (affect: like vs. hate) two-way frequent steps ANOVA to research the relationship between your love and you may dislike results. Testing off easy main consequences was indeed did whenever a connection effect are statistically significant. At exactly the same time, we utilized Pearson’s correlation analysis to check on new correlations anywhere between score for like and dislike. After that, we utilized partial correlations to look at this new relationship between love and you may dislike managing getting participants’ gender and many years.
