Psychology graduates earn a median $29,141 Across 1,390 US programmes, two years after finishing
See the degree grade →The PhD in Research and Experimental Psychology at Kent State University is a research-focused doctoral programme designed for students who want to pursue original empirical work in areas such as cognition, perception, developmental psychology, social cognition and neuroscience. It suits candidates seeking rigorous training in experimental design, quantitative methods and scholarly communication, and prepares graduates for careers in academic research, industry R&D and research positions in government or non-profit organisations.
The programme centres on advanced training in experimental methods, statistics and contemporary theoretical issues in psychological science. Course work commonly includes advanced statistics and experimental design, theory and methods in cognitive psychology, perception and attention, developmental experimental methods, social cognition, and courses in biological bases of behaviour such as cognitive neuroscience or psychophysiology.
Students undertake a combination of seminars, core and elective courses, and sustained hands‑on research. Early in the programme students typically join a faculty research lab, participate in research projects, develop an individual programme of study in consultation with their advisor, and progress through qualifying or comprehensive examinations. The doctoral training culminates in the design and completion of an original empirical dissertation and a public dissertation defence.
Training emphasises rigorous experimental design, advanced quantitative analysis (including multivariate statistics and experimental psychometrics), reproducible research practices, and scientific communication. Many students also gain teaching experience through graduate teaching assistantships and opportunities to teach undergraduate laboratory courses.
Graduates with a PhD in Research and Experimental Psychology pursue a range of careers centred on rigorous scientific investigation and quantitative competence. Common career paths include tenure‑track academic positions, postdoctoral research, and research scientist roles in industry labs (for example in human factors, user experience research, cognitive modelling or applied R&D).
Other opportunities include research roles in government agencies and non-profit organisations, data science and analytics positions that value experimental design and statistical expertise, and roles in science communication or policy. The programme’s emphasis on experimental methods, statistics and publication prepares graduates for positions that require independent research, grant writing and mentoring of junior researchers.
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