Dr Keely Jo Frasca

Staff details

Position Associate Lecturer
Email k.frasca (@gold.ac.uk)
Phone +44 (0)20 7 296 4220
Dr Keely Jo Frasca

Keely has been working at the IMS since its launch in 2012. She has recently completed her ESRC-funded Doctoral Research in Organisational Psychology at King’s College London. Her thesis focuses on the impact of online corporate and social recruitment media on pre-hire organisational attraction. She has a strong interest in advanced quantitative methods and has previously taught statistics at undergraduate and postgraduate levels at KCL. 

Keely is a Chartered Psychologist with the British Psychological Society (CPsychol), Member of the British Psychological Society’s Division of Occupational Psychology, and Fellow of The Higher Education Academy (FHEA). She is qualified in Occupational Psychometric Testing (Level A and B) with the British Psychological Society, and certified by the European Federation of Psychologists’ Associations.  

Academic qualifications 

PhD Organisational Psychology (King’s College London, University of London) 

PGCert Management of Learning and Teaching in Higher Education (Goldsmiths, University of London) 

MSc Occupational Psychology (Distinction) (Goldsmiths, University of London) 

BSc (Hons) Psychology (First) (Goldsmiths, University of London)

Areas of supervision 

MSc Occupational Psychology (organisational recruitment and selection; person-organisation fit; web-based organisational communication practices) 

MSc Consumer Behaviour and MSc Management of Innovation (advertising effectiveness; viral adverts; social media; branding; consumers’ attitudes and behavioural/pursuit intentions)


Research Interests

Organisational recruitment: social recruiting; person-organisation fit; drivers of organisational attraction; employer branding. 

Cyberpsychology: web-based organisational communication practices; virtual organisations. 

Advertising effectiveness: examining relationships between media, content, source, and recipient characteristics. 

Advanced quantitative methods (Mplus): measurement development; structural equation modelling; latent growth curve modelling.