READ ME File For 'Datasets to support thesis: Do Narcissists Gain MIL via Conspicuous Consumption?' Dataset DOI: https://doi.org/10.5258/SOTON/D3307 ReadMe Author: NATALIE BERRY, University of Southampton ORCID ID This dataset supports the thesis entitled: Do Narcissists Gain MIL via Conspicuous Consumption? AWARDED BY: University of Southampton DATE OF AWARD: 2024 DESCRIPTION OF THE DATA This file includes 6 datasets in SPSS (This dataset can be viewed in SPSS). This data supports the thesis entitled, Do Narcissists Gain MIL via Conspicuous Consumption. Dataset 1 (Study 1) consists of 263 participants (224 female, 37 male, and 2 undisclosed gender). In Study 1 (Chapter 2), I examined the extrinsic (and agentic) and intrinsic (and communal) aspirations that narcissist’ consider meaningful. I also assessed the relation between narcissism and dispositional MIL directly and through these aspirations. Dataset 2 (Study 2a) consists of 253 participants (197 female, 53 male, and 3 undisclosed gender). In Study 2a (Chapter 3), I sought to demonstrate that narcissists gain state MIL through their conspicuous consumption. Conspicuous consumption was measured using a consumer decision-making paradigm. Dataset 3 (Study 2b) consists of 370 participants (325 female and 45 male). This study was a replication of Study 2b, with improved products. Dataset 4 (Study 3) consists of 176 participants (90 female and 86 male). In Study 3 (Chapter 4), I experimentally tested whether conspicuous consumption (more specifically whether the availability of a symbolic product) influences narcissists’ state MIL. Here I used the same consumer decision-making paradigm as in Study 2b. Dataset 5 (Study 4) consists of 243 participants (150 female, 92 male, and 1 undisclosed gender). In Study 4 (Chapter 5), I conducted another experiment to test whether the manipulation or affirmation of MIL would affect the motivation to engage in conspicuous consumption. Again, I used the same consumer decision-making paradigm as in Study 2b. Dataset 6 (Study 5) consists of 178 participants (136 female, 37 male, 3 non-binary, 1 agender, and 1 undisclosed gender). In Study 5 (Chapter 6), I measured whether narcissists’ symbolic consumption is socially motivated and whether narcissists engage in the extrinsic behaviour of conspicuous consumption specifically. I accomplished this by assessing real-life purchases, rather than hypothetical ones and assessing motivations underlying this real-life purchase. Participants rated their chosen product on how symbolic and utilitarian it was, expanding on the forced choice option given in the consumer decision-making paradigm. I also assessed the two distinct forms of narcissism, admiration, and rivalry in all studies. Participants in all of the studies were recruited either by social media platforms (i.e., Facebook), Efolio (University of Southampton Psychology study recruitment website), or prolific. Participants either had the chance to win one of two £25 Amazon Vouchers, gain course credits, or get paid, respectively. All of these studies were conducted online via self-reported surveys using either i-survey (Dataset 2) or Qualtrics (Datasets 1, 3, 4, 5, 6). This dataset contains: Six studies that support the thesis: Do Narcissists Gain MIL via Conspicuous Consumption. Date of data collection: Dataset 1 was collected between December, 2020 - May, 2021 Dataset 2 was collected between October 2019 - March 2020 Dataset 3 was collected between August 2021 - March 2022 Dataset 4 was collected between March 2021 - May 2021 Dataset 5 was collected between March 2021 - May 2021 Dataset 6 was collected between March 2022 - September 2022 Information about geographic location of data collection: Licence: CC-BY Related projects/Funders: The PhD was funded by South Coast Doctoral Training Partnership. Related publication: No Publication Date that the file was created: November, 2024 -------------- Notes: 1. Rename file, giving it an appropriate name and removing the word 'template'. 2. Remove [] adding in information where required. 3. Remove any sections not relevant to your dataset 4. Remove these notes before saving