Know Thyself
If (hu)man is the measure of all things, what is the measure of human?
Home
Welcome to the Meta-Self Lab!
The lab is led by Prof., Dr., Hu Chuan-Peng at the School of Psychology, Nanjing Normal University, Nanjing, China. We are interested in how human beings process self-related information, with a “3M” approach: meta-science, (cognitive) modeling, and (psychological) measurement. We are also trying to apply the “3M” approach to the mental health issues in the real world.
We values openness, transparency, and reproducibility. As the methods and practices in psychological science are ever-evolving, we keep learning new methods and adopting best practices to make our research as rigorous and robust as possible. Whenever possible, we use open source software such as jsPsych, Python, and R for our research. All our work are preprinted before submission. Whenever possible, we preregister our studies before data collection/analyses.
So far, we have contributed multiple open datasets: data for Human Penguin Project (data; data paper, & original study); data of Chinese Version of Free Will and Determinism Plus Scale (data, data paper, original study, and updated study in 2024); a meta-dataset of neuroimaging studies of self-referential process of human (dataset, data paper; related paper and its ALE maps); an extended Chinese social evaluative words list (data, data paper, and code); and an evolving trial-level data from studies that employed self-matching task (dataset). Please see our publications or google scholar for the preprints.
Equality is another core value of our lab. We are dedicated to fostering a culture where everyone involved is respected and every idea is valued.
the use of scientific methodology to study science itself
A knowledge representation that contains knowledge about us
a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data
Social evaluation, i.e., people’s views of self, others, and groups, is ubiquitous and embedded in our language. In turn, social evaluative words are used intensively in studies of human social evaluation. However, standardized Chinese word lists for social evaluation are under-developed; the only available word lists are based on the big-two model of social evaluation (i.e., agency and warmth) and cover small numbers of words. To fill the gap, we conducted a survey with a relatively large sample (n = 1270, 50% female) and a large number of words (1908) that might describe extended social evaluative dimensions: appearance, socioeconomic status, sociability, competence, and morality. The participants rated the extent to which each word described a certain social evaluation dimension and how positive/negative each word was. Based on this dataset, we selected words that dominantly describe one of the five above-mentioned dimensions. The final word list has 1040 words, including 245 appearance words (143 positive, 11 neutral, 91 negative), 108 socioeconomic status words (36 positive, 2 neutral, 70 negative), 93 sociability words (53 positive, 5 neutral, 35 negative), 261 competence words (185 positive, 4 neutral, 72 negative), and 333 morality words (149 positive, 1 neutral, 183 negative). This word list provides an extended Chinese social evaluative word list and will serve as a useful resource for researchers in social psychology, linguistics, sociology, and computational social science.
🎓 We Are Seeking Doctoral Candidates in Psychology
💬 Instruction Language: Chinese
💰 Tuition: Full Scholarship
✉️ If you wish to join us, send E-mail to hu.chuan-peng@nnu.edu.cn.
🇨🇳 For Students in mainland China, please see this blogpost for details