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The edition of this classic text has been completely revised and updated, taking into account recent developments in the field of psychometrics. Part 1 of Modern Psychometrics outlines the background, history and controversies surrounding psychological testing. Part 2 provides a practical guide for developing a psychometric test. Modern Psychometrics forms the ideal companion for those studying for the British Psychological Society's Certificates of Competence in Testing
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This popular text introduces the reader to all aspects of
psychometric assessment, including its history, the construction
and administration of traditional tests, and the latest techniques
for psychometric assessment online. Rust, Kosinski, and Stillwell
begin with a comprehensive introduction to the increased
sophistication in psychometric methods and regulation that took
place during the 20th century, including the many benefits to
governments, businesses, and customers. In this new edition, the
authors explore the increasing influence of the internet, wherein
everything we do on the internet is available for psychometric
analysis, often by AI systems operating at scale and in real time.
The intended and unintended consequences of this paradigm shift are
examined in detail, and key controversies, such as privacy and the
psychographic microtargeting of online messages, are addressed.
Furthermore, this new edition includes brand-new chapters on item
response theory, computer adaptive testing, and the psychometric
analysis of the digital traces we all leave online. Modern
Psychometrics combines an up-to-date scientific approach with full
consideration of the political and ethical issues involved in the
implementation of psychometric testing in today's society. It will
be invaluable to both undergraduate and postgraduate students, as
well as practitioners who are seeking an introduction to modern
psychometric methods.
This popular text introduces the reader to all aspects of
psychometric assessment, including its history, the construction
and administration of traditional tests, and the latest techniques
for psychometric assessment online. Rust, Kosinski, and Stillwell
begin with a comprehensive introduction to the increased
sophistication in psychometric methods and regulation that took
place during the 20th century, including the many benefits to
governments, businesses, and customers. In this new edition, the
authors explore the increasing influence of the internet, wherein
everything we do on the internet is available for psychometric
analysis, often by AI systems operating at scale and in real time.
The intended and unintended consequences of this paradigm shift are
examined in detail, and key controversies, such as privacy and the
psychographic microtargeting of online messages, are addressed.
Furthermore, this new edition includes brand-new chapters on item
response theory, computer adaptive testing, and the psychometric
analysis of the digital traces we all leave online. Modern
Psychometrics combines an up-to-date scientific approach with full
consideration of the political and ethical issues involved in the
implementation of psychometric testing in today's society. It will
be invaluable to both undergraduate and postgraduate students, as
well as practitioners who are seeking an introduction to modern
psychometric methods.
Causal Inferences in Capital Markets Research is an attempt to
promote a broad interdisciplinary debate about the notion of
causality and the role of causal inference in the social sciences.
At the risk of oversimplifying, the issue of causality divides the
accounting research community in two polar views: the view that
causality is an unattainable ideal for the social sciences and must
be given up as a standard, and the view that, on one hand,
causality should be the ultimate goal of all scientific endeavors
and, on the other hand, theory and causal inference are
inextricable. Reflecting and discussing these views was the main
motivation for this volume. This volume contains eight articles on
three topics: I) Econometrics; III) Accounting, and III) Finance.
First, Nancy Cartwright addresses the problem of external validity
and the reliability of scientific claims that generalize individual
cases. Then, John Rust discusses the role of assumptions in
empirical research and the possibility of assumption-free
inference. Peter Reiss considers the question how sensitive are
instrumental variables to functional form transformations. Finally,
Charles Manski studies the logical issues that affect the
interpretation of point predictions. Second, Jeremy Bertomeu, Anne
Beyer and Daniel Taylor provide a critical overview of empirical
accounting research focusing on the benefits of theory-based
estimation, while Qi Chen and Katherine Schipper consider the
question whether all research should be causal and assess the
existing gap between theory and empirical research in accounting.
Third, R. Jay Kahn and Toni Whited clarifies and contrasts the
notions of identification and causality, whereas Ivo Welch adopts a
sociology of science approach to understand the consequences of the
researchers' race for discovering novel and surprising results.
This volume allows researchers and Ph.D students in accounting, and
the social sciences in general, to acquire a deeper understanding
of the notion of causality and the nature, limits, and scope of
empirical research in the social sciences.
Full-length feature based on the Belgian comics created by Peyo in
1958. The villainous McCreep appropriates the magic flute which was
created by the Smurfs. McCreep uses the magic flute, which makes
people dance uncontrollably, to steal from others. Court jester
Peewit and knight Johan are sent by their King to find the villain
and return with the flute. With the help of wizard Homnibus, Peewit
and Johan travel to Smurfland where Papa Smurf decides a new flute
will be made which will counteract with the original one. But when
McCreep and his partner in crime, Flatbroke, plan to invade the
King's castle, the Smurfs must come up with a plan to outwit the
criminals.
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