For a recent list of my publications, which
include preprint downloads and links to the papers, please click here : publications
Interesting
stuff on my Science paper and related topics
Antonakis, J.,
& Dalgas, O. (2009). Predicting elections: Child's play! Science, 323(5918), 1183. (free
download of paper)
Abstract:
In two experiments, children and adults rated pairs of faces from election
races. Naïve adults judged a pair on competence; after playing a game, children
chose who they would prefer to be captain of their boat. Children's (as well as
adults') preferences accurately predicted actual election outcomes.
Extended Podcast discussion on our paper with Prof. Hoffrage
available in English and French
Summary
of the paper.
Podcast
interview
in Science.
Science
press release English1,
English2,
French,
Chinese.
University
Press release in French and German
The ARD (German TV) challenge. In collaboration with Professor Ulrich Hoffrage,
and the show producers, I designed an experiment that got children to guess
which of two politicians was elected in a particular election race. This
experiment followed the "choose-the-captain-of-the-boat" protocol
that was published in my 2009 Science paper. Learn more about this fascinating
experiment here: http://www.ardmediathek.de/ard/servlet/content/3517136?documentId=8090616 (you can jump forward to 24 minutes and 15
seconds into the show).
The TSR
(Swiss TV) challenge--I was asked to design an experiment, using children, to
predict the governmental elections in the state of Neuchâtel. See how it went:
Participation in the TV
program "Histoires des Savoirs":
http://www.tsr.ch/video/emissions/court-du-jour/103975-innovation-et-creation-l-habit-fait-le-moine.html#id=103975
Interview on Canada’s CBC:
http://www.cbc.ca/video/news/audioplayer.html?clipid=1869313197
Other interesting stuff
IQp Calculator : Antonakis, J., & Lalive, R. (2008). Quantifying scholarly
impact: IQp versus the Hirsch h. Journal of the American
Society for Information Science and Technology, 59(6), 956-969.
Calculate your IQp: download file IQp calculator (note: enable macros for the excel
file)
Abstract: Hirsch's (2005) h index of scholarly output has generated
substantial interest and wide acceptance because of its apparent ability to
quantify scholarly impact simply and accurately. We show that the excitement
surrounding h is premature for three reasons: h stagnates with increasing
scientific age; it is highly dependent on publication quantity; and it is
highly dependent on field-specific citation rates. Thus, it is not useful for
comparing scholars across disciplines. We propose the scholarly index of
quality and productivity (IQp) as an alternative to
h. The new index takes into account a scholar's total impact and also corrects
for field-specific citation rates, scholarly productivity, and scientific age.
The IQp accurately predicts group membership on a
common metric, as tested on a sample of 80 scholars from three populations: (a)
Nobel winners in physics (n = 10), chemistry (n = 10), medicine (n = 10), and
economics (n = 10), and towering psychologists (n = 10); and scholars who have
made more modest contributions to science including randomly selected (b)
fellows (n = 15) and (c) members (n = 15) of the Society of Industrial and
Organizational Psychology. The IQp also correlates
better with expert ratings of greatness than does the h index.
Here is my top-cited
publication:
Antonakis, J., Avolio, B. J., & Sivasubramaniam,
N. (2003). Context and
leadership: An examination of the nine-factor Full-Range Leadership Theory
using the Multifactor Leadership Questionnaire (MLQ Form 5X). Leadership
Quarterly, 14(3), 261-295.
Abstract: In this study, we examined the validity of the measurement
model and factor structure of Bass and Avolio's
Multifactor Leadership Questionnaire (MLQ) (Form 5X). We hypothesized that
evaluations of leadership—and hence the psychometric properties of leadership
instruments—may be affected by the context in which leadership is observed and
evaluated. Using largely homogenous business samples consisting of 2279 pooled
male and 1089 pooled female raters who evaluated
same-gender leaders, we found support for the nine-factor leadership model
proposed by Bass and Avolio. The model was configurally and partially metrically invariant—suggesting
that the same constructs were validly measured in the male and female groups.
Mean differences were found between the male and female samples on four
leadership factors (Study 1). Next, using factor-level data of 18 independently
gathered samples (N=6525 raters) clustered into
prototypically homogenous contexts, we tested the nine-factor model and found
it was stable (i.e., fully invariant) within homogenous contexts (Study 2). The
contextual factors comprised environmental risk, leader–follower gender, and
leader hierarchical level. Implications for use of the MLQ and nine-factor
model are discussed.
Note: you can find
preprints for most of my papers here.
If you don’t have access to the final prints, please send me an e-mail at john.antonakis@unil.ch