|
|
Datasets Available to Download
|
Title:
Second Session at
the Virtual Poker Table
|
|
Publication:
Tom, M. A.,
Edson, T. C., Louderback, E. R., Nelson, S. E.,
Amichia, K. A., & LaPlante, D. A. (2022). Second
Session at the Virtual Poker Table: A
Contemporary Study of Actual Online Poker
Activity. Journal of Gambling Studies.
DOI:
10.1007/s10899-022-10147-1. |
|
PI:
Drs. Debi A.
LaPlante and Sarah E. Nelson |
|
Sponsor:
Entain
plc |
|
Description:
This package
contains the data and code used for
a study of a cohort of online poker players and
their activity on an online poker server (Tom et
al., 2022). The files contain demographic
information and records of deposit, withdrawal,
and poker activity for subscribers who first
opened an account with one of Entain's gambling
services in February 2015. |
|
Download
the codebook. |
| Datasets |
|
Download
the first dataset (CSV file). |
|
Download
the second dataset (CSV file). |
|
Download
the third dataset (CSV file). |
|
Download
the fourth dataset (CSV file). |
|
Download
the fifth dataset (CSV file). |
|
Download
the R code (TXT file). |
|
Download
a second codebook that covers some of the tables
in the R code (DOCX file). |
|
Title:
Population Trends
in Internet Sports Gambling
|
|
Publication: LaPlante, D. A., Schumann, A., LaBrie,
R. A., & Shaffer, H. J. (2008). Population trends
in Internet sports gambling. Computers in Human
Behavior, 24(5), 2399–2414.
DOI: 10.1016/j.chb.2008.02.015
|
|
PI:
Dr.
Howard J. Shaffer |
|
Sponsor:
bwin Interactive
Entertainment AG |
|
Description:
This package
contains the analytic data set for the first
longitudinal analysis of online gambling
participation and activity among a population of
newly subscribed Internet bettors (LaPlante et
al., 2008). This data set comes from the
collaborative Internet gambling research project
between the Division on Addictions (DOA) and bwin
Interactive Entertainment AG (bwin) (currently
known as the Division on Addiction and Entain plc,
respectively). This data set contains demographics
and sports betting records of a cohort of 46,339
subscribers who first opened an account with bwin
during February 2005. The records represent 18
months of activity, starting on February 1, 2005
and ending on August 31,
2006. |
|
Download
the codebook. |
| Analytic
Datasets |
|
Download
the first dataset (CSV file). |
|
Download
the second dataset (CSV file). |
|
Download
the third dataset (CSV file). |
|
Download
the R code (TXT file). |
|
Title:
Patterns of Daily
Fantasy Sports Play: Tackling the
Issues |
|
Publication: Nelson, S. E., Edson, T. C., Singh, P.,
Tom, M. A., Martin, R. J., LaPlante, D. A.,
Gray, H. M., & Shaffer, H. J. (2019). Patterns of
Daily Fantasy Sport Play: Tackling the Issues.
Journal of Gambling Studies, 35(1),
181-204.
DOI: 10.1007/s10899-018-09817-w
|
|
PIs:
Drs. Debi A.
LaPlante and Sarah E. Nelson |
|
Sponsor:
DraftKings,
Inc. |
|
Description:
Daily fantasy
sports (DFS), a rapidly growing industry, allows
players to create fantasy teams of real-life
players and potentially win cash prizes, derived
from entry fees. Some stakeholders have expressed
concern that DFS's accelerated nature and other
features might promote excessive play and related
harm. We conducted the first descriptive summary
of actual DFS play using records from a cohort of
subscribers to a dominant operator, DraftKings.
The cohort consisted of 10,385 players who
enrolled and made their initial deposits between
August 1, 2014 and September 30, 2014, and entered
at least one paid National Football League (NFL)
contest. |
|
Download
the codebook. |
|
Download
the notes on discrepancies with the manuscript. |
| Analytic
Datasets |
|
Download
the first dataset (CSV file). |
|
Download
the second dataset (CSV file). |
|
Download
the third dataset (CSV file). |
|
Download
the fourth dataset (CSV file). |
|
Download
the fifth dataset (CSV file). |
|
Download
the sixth dataset (CSV file). |
|
Download
the R code (TXT file). |
|
Title:
A Scoping Review
of "Responsible Drinking"
Interventions |
|
Publication:
Gray, H. M., Wiley,
R. C., Williams, P. M., & Shaffer, H. J. (2020). A
Scoping Review of "Responsible Drinking"
Interventions. Health Communication, 1-21.
DOI: 10.1080/10410236.2020.1733226
|
|
PIs:
Drs. Heather M.
Gray and Howard J. Shaffer |
|
Sponsor:
Foundation for
Advancing Alcohol Responsibility
(FAAR) |
|
Description:
Public health
groups, researchers, the beverage alcohol
industry, and other stakeholders have promoted
and applied the concept of "responsible drinking"
for the past 50 years. However, little is known
about the state of the existing responsible
drinking evaluation research and its application
to policy and practice. This project provides a
scoping review of studies evaluating responsible
drinking interventions. Two primary research
questions guided this investigation: (1) To what
extent have authors attempted to define the
concept of responsible drinking while evaluating
responsible drinking interventions? and (2) What
is the state of the responsible drinking
intervention evaluation literature? We retrieved
49 peer-reviewed articles that evaluated
interventions designed to promote "responsible
drinking." |
|
Download
the codebook. |
| Analytic
Datasets |
|
Download
the dataset (Excel file). |
|
Title:
Observations of the
First GameSense-branded Responsible Gambling
Centre in a US Casino |
|
Publication:
Gray, H. M.,
Keating, L., Shaffer, H. J., & LaPlante, D. A.
(2020). Observations of the first
GameSense-branded responsible gambling centre in a
US casino. Health Education Journal, 79(1),
104–120. DOI:
10.1177/0017896919863121. |
|
PI(s):
Drs. Howard
J. Shaffer & Debi A. LaPlante |
|
Sponsor: Massachusetts
Gaming Commission |
|
Description: Casino operators are
launching responsible gambling information centers
in venues across North America. These centers are
designed to provide a place where casino customers
can get information about gambling and resources
for help with potential gambling problems. The
launch of the first such center in the USA, the
GameSense Info Center, located at Plainridge Park
Casino, in Massachusetts, provided an opportunity
to achieve three goals: (1) document the center's
reach among casino patrons, (2) generate a
comprehensive description of services provided,
and (3) explore the potential for a dose-response
relationship between center exposure and gambling
beliefs and behavior. We achieved these goals by
documenting services provided and surveying
consecutive center visitors. Program staff
reported engaging directly with approximately 1%
of daily patrons. About 70% of their interactions
were casual in nature. During conversations that
did move beyond a casual nature, program staff
typically provided information about responsible
gambling. Finally, among a sample of patrons who
repeatedly engaged with program staff at the most
involved level (N = 129), those with relatively
little program exposure were more likely to hold
an accurate gambling belief but less likely to
report having set time limits on their casino
visits. In conclusion, we did not observe support
for the notion that using an on-site information
center to teach patrons about important gambling
concepts is associated with more responsible
gambling behavior. |
|
Download
the codebook. |
| Analytic Datasets |
|
Download
the Wave 1 Checklist Data (SPSS file).
|
|
Download
the Wave 2 Checklist Data (SPSS file).
|
|
Download
the Wave 1 Patron Survey Data (SPSS file).
|
|
Download
the Wave 2 Repeat Patron Survey Data
(SPSS file). |
|
Title:
Understanding the
Relation between Social Behaviors and Daily Fantasy
Sports Risk Behavior |
|
Publication:
Tom, M. A.,
Williams, P. M., Edson, T. C., & LaPlante, D. A.
(2019). Understanding the Relation Between Social
Behaviors and Daily Fantasy Sports Risk Behavior.
Journal of Gambling Studies.
DOI: 10.1007/s10899-019-09911-7.
|
|
PIs:
Drs. Howard J.
Shaffer and Debi A. LaPlante |
|
Sponsor:
DraftKings,
Inc. |
|
Description:
In daily fantasy
sports (DFS) contests, participants form a roster
of athletes scheduled to perform in a
pre-determined list of sporting contests or games.
Each participant has the opportunity to win cash
prizes, depending on the performance of the
athletes on their roster and the performances of
the athletes on the other participants' rosters.
Some contests have higher variances than others
(i.e., lower percentages of participants winning
and higher payouts versus higher percentages of
participants winning and lower payouts) and can be
considered riskier propositions. DFS operators
have mechanisms for interacting with friends on
their servers (e.g., referral programs and
incentives, friend lists, private contests). To
determine whether use of these mechanisms (i.e.,
social behavior) was associated with preference for
higher variance contests (i.e., risk behavior), we
analyzed player records (N = 11,130) from a
DFS service. We constructed a measure of risk
behavior, player risk score, that is based on DFS
contests' entry fees and payout
structures. |
|
Download
the codebook. |
| Analytic
Datasets |
|
Download
the dataset (CSV file). |
|
Download
the R code (Text file). |
|
Title:
Examining
Responsible Gambling Program Awareness and
Engagement Trends |
| First
publication: Gray,
H. M., LaPlante, D. A., Abarbanel, B. L., &
Bernhard, B. J. (2019). Gamblers' Perceptions of
Stakeholder Responsibility for Minimizing Gambling
Harm. International Journal of Mental Health
and Addiction. DOI:
10.1007/s11469-019-0056-4. |
Second
publication: Gray,
H. M., Louderback, E. R., LaPlante, D. A.,
Abarbanel, B., & Bernhard, B. J. (2021). Gamblers'
beliefs about responsibility for minimizing
gambling harm: Associations with problem gambling
screening and gambling involvement. Addictive
Behaviors, 114. DOI:
10.1016/j.addbeh.2020.106660 |
Third
publication: Gray,
H. M., Louderback, E. R., LaPlante, D. A.,
Abarbanel, B., Kraus, S. W., & Bernhard, B. J.
(2021). Who holds a shared responsibility view of
minimizing gambling harm? Results from a
multiwave survey of casino gamblers.
Psychology of Addictive Behaviors.
DOI: 10.1037/adb0000767 |
Fourth
publication: Louderback, E. R., Gray,
H. M., LaPlante, D. A., Abarbanel, B., &
Bernhard, B. J. (2022). A Comparison of Two
GameSense Implementation Approaches: How Program
Awareness and Engagement Relate to Gambling
Beliefs and Behaviors. Journal of Gambling
Studies, 38(1), 153–183. DOI:
10.1007/s10899-021-10013-6 |
|
Fifth publication: Louderback, E. R.,
LaPlante, D. A., Abarbanel, B., Kraus, S. W.,
Bernhard, B. J., & Gray, H. M. (2022). Examining
Responsible Gambling Program Awareness and
Engagement Trends and Relationships with
Gambling Beliefs and Behaviors: A Three-Wave
Study of Customers from a Major Gambling
Operator. Journal of Gambling Studies.
DOI:
10.1007/s10899-022-10109-7. |
|
PI(s): Dr. Brett Abarbanel
(subcontract PI: Dr. Heather Gray)
|
Sponsor: MGM
Resorts International |
|
Description: A considerable body of
literature has examined elements of responsible
gambling (RG) programs in land-based gambling
venues. We examined GameSense RG program
awareness and engagement trends and
relationships with gambling beliefs and
behaviors, at MGM's U.S.-based casino properties
using three samples of MGM's loyalty program
members. We used a repeated cross-sectional
approach including observational data collected
from one sample (N = 3748) shortly before
the rollout of GameSense in 2017-2018, and from
two samples collected 1 year (N = 4795)
and 2 years (N = 3927) after the
program's implementation. |
Download
the codebook for the first data set. |
| Analytic Dataset |
Download
the first dataset (SPSS file). |
Download
the first dataset (zip file). |
Download
the second dataset (SPSS file). |
Download
the second dataset (zip file). |
Download
the third dataset (SPSS file). |
Download
the third dataset (zip file). |
|
Title: Responsible Gambling: A
Synthesis of the Empirical Evidence
|
|
Publication: Ladouceur et al. in
Addict Res Theory 25:225-235, 2017).
|
|
PI: Dr. Robert
Ladouceur |
|
Sponsor:
Laval
University |
|
Description: BACKGROUND: This codebook
provides information about the data used to
generate statistics for a recent study that
examined the relationship between funding sources
and scientific findings within the extant
responsible gambling literature (Ladouceur et. al
(2018), Responsible Gambling Research and Industry
Funding Biases, Journal of Gambling Studies, DOI:
10.1007/s10899-018-9792-9.). Specifically, this
study examined whether there are different
characteristics, including design/methodologies of
responsible gambling (RG), between studies funded
by industry compared to other sources. To
investigate this hypothesis, the authors used
those studies included in a recent meta-analysis
focusing on the empirical basis of RG initiatives
(Ladouceur et al. in Addiction Research and Theory
25:225-235, 2017). This data set includes the 29
studies included in the final wave of the
meta-analysis. All covariates used for analysis
are included in the dataset. |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Download
the dataset (zip file). |
Download
the dataset (SPSS file). |
|
Title:
Associations
Between National Gambling Policies and Disordered
Gambling Prevalence Rates within
Europe |
Source:
Division on
Addiction, Cambridge Health Alliance, a Harvard
Medical School teaching hospital; University of
St.Gallen HSG |
PI:
Simon Planzer,
Ph.D., M.A. |
|
Sponsor: bwin Digital
Entertainment |
|
Description: BACKGROUND:
This codebook provides information for both the
raw and analytic datasets used to generate
analyses of the associations between national
gambling policies and disordered gambling
prevalence rates within Europe (Planzer, Gray, &
Shaffer, 2014). These datasets come from the
collection of national gambling policy data from
key informants and the collection of disordered
gambling prevalence estimates from a review of
the literature. |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Raw Dataset 2 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (text file) |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
|
Title:
Behavioral
Characteristics of Internet Gamblers Who Trigger
Corporate Responsible Gambling
Interventions |
Source:
Division on
Addiction, Cambridge Health Alliance, a Harvard
Medical School teaching
hospital |
| PI:
:Dr. Howard J.
Shaffer |
|
Sponsor:
bwin
Interactive Entertainment AG |
|
Description:
As the worldwide
popularity of Internet gambling increases,
concerns about the potential for gambling-related
harm also increase. This paper reports the
results of a study examining actual Internet
gambling behavior during 10 years of play. We
examined the electronic gambling records of
subscribers (N = 2,066) who triggered a
responsible gaming alert system at a large
international online gaming company. We compared
these cases with control subscribers (N = 2,066)
who had the same amount of exposure to the
Internet gambling service provider. We used
discriminant function analysis to explore what
aspects of gambling behavior distinguish cases
from controls. Indices of the intensity of
gambling activity (e.g., total number of bets
made, number of bets per betting day) best
distinguished cases from controls, particularly
in the case of live-action sports betting. Control
group players evidenced behavior similar to the
population of players using this service. These
results add to our understanding of behavioral
markers for disordered Internet gambling and will
aid in the development of behavior-based
algorithms capable of predicting the presence
and/or the onset of disordered Internet
gambling. |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
| Raw Dataset 2 |
Raw Dataset 3 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
|
Title:
First Month Live
Action Gambling for Account Closers: February 2005
through February 2007 |
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin
Interactive Entertainment AG |
|
Description: This package
contains data for research focusing on actual
Internet live action gambling during the first
month of gambling (Braverman & Shaffer, 2012).
These datasets derive from the collaborative
Internet gambling research project between the
Division on Addictions (DOA) and bwin Interactive
Entertainment, AG (bwin), an Internet betting
service provider headquartered in Vienna,
Austria. These datasets provide evidence from
twenty-four months of the prospective
longitudinal, real-time, Internet casino betting
behavior.
This package contains daily aggregates of live
action sports betting activity over a
twenty-four-month period (February 1, 2005 to
January 31, 2007) for a cohort of 32,277 bwin
Internet casino subscribers who opened an
account with bwin during the period from
February 1, 2005 to February 28, 2005. Out of
this cohort, 21,996 had live action sports
betting activity on at least three separate days
during the two-year study period. Of the 21,996
subscribers, 530 closed their accounts 30 or
more days after opening them. This package also
contains additional demographic data for the 530
account closers. The DOA excluded records of any
subscriber’s activity that took place before the
date of their first deposit (i.e., the variable
Dep1Date in the analytic roster. This exclusion
controlled for activities financed by
promotional money that might not reflect a
subscriber’s behavior when personal funds are at
stake. |
|
Download
the codebook. |
| Datasets |
|
Download
the raw data. (CSV file).
|
|
Download
the demographic data (CSV file).
|
|
Download
the R code (TXT file).
|
|
Title:
Actual Internet
Sports Gambling Activity: February 2005 through
September 2005 |
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin Interactive
Entertainment AG |
|
Description: The first available
dataset for the Transparency Project comes from
the collaborative Internet gambling research
project involving the Division and bwin
Interactive Entertainment AG (bwin), an Internet
betting service provider headquartered in Vienna,
Austria. The dataset provides the first
prospective longitudinal data reflecting real-time
Internet sports betting behavior. It contains the
information from a large cohort of participants
(N = 40,499) who opened an account with bwin from
February 1, 2005 through February 27, 2005; this
dataset also describes the actual aggregated
Internet sports gambling behavior of participants
during the first 8 months of a longitudinal study
that took place from February 1, 2005 through
September 30, 2005. This bwin Internet gambling
dataset includes the following participant
information: demographic information (user ID,
country of residence, language, gender,
registration date, age at registration), and
fixed-odds and live-action betting activity
(first active date, last active date, total days
active, total stakes, total winnings,
total bets). |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
| Raw Dataset 2 |
Raw Dataset 3 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
|
Title:
Using Cross-game
Behavioral Markers for Early Identification of
High-risk Internet
Gamblers |
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin Interactive
Entertainment AG |
|
Description: BACKGROUND: Using actual
gambling behavior provides the opportunity to
develop behavioral markers that operators can use
to predict the development of gambling-related
problems among their subscribers.
METHODS:
Participants were 4,056 Internet gamblers who
subscribed to the Internet betting service
provider bwin.party. Half of this sample included
multiple platform gamblers who were identified by
bwin.party's Responsible Gambling (RG) program;
the other half were controls randomly selected
from those who had the same first deposit date.
Using the daily aggregated Internet betting
transactions for gamblers' first 31 calendar days
of online betting activities at bwin.party, we
employed a 2-step analytic strategy: (1) applying
an exploratory chi-squared automatic interaction
detection (CHAID) decision tree method to identify
characteristics that distinguished a subgroup of
high-risk Internet gamblers from the rest of the
sample, and (2) conducting a confirmatory analysis
of those characteristics among an independent
validation sample.
RESULTS: This analysis
identified two high-risk groups (i.e., groups in
which 90% of the members were identified by
bwin.party's RG program): Group 1 engaged in 3 or
more gambling activities and evidenced high wager
variability on casino-type games; Group 2 engaged
in 2 different gambling activities and evidenced
high variability for live action
wagers.
CONCLUSION: This analysis advances an
ongoing research program to identify potentially
problematic Internet gamblers during the earliest
stages of their Internet gambling. Gambling
providers and public policy makers can use these
results to inform early intervention programs
that target high-risk Internet
gamblers. |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
| Raw Dataset 2 |
Raw Dataset 3 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
|
Title:
Behavioral
Characteristics of Internet Gamblers Who Trigger
Corporate Responsible Gambling
Interventions |
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin Interactive
Entertainment AG |
|
Description: As the worldwide
popularity of Internet gambling increases,
concerns about the potential for gambling-related
harm also increase. This paper reports the results
of a study examining actual Internet gambling
behavior during 10 years of play. We examined the
electronic gambling records of subscribers
(N = 2,066) who triggered a responsible gaming
alert system at a large international online
gaming company. We compared these cases with
control subscribers (N = 2,066) who had the same
amount of exposure to the Internet gambling
service provider. We used discriminant function
analysis to explore what aspects of gambling
behavior distinguish cases from controls. Indices
of the intensity of gambling activity (e.g., total
number of bets made, number of bets per betting
day) best distinguished cases from controls,
particularly in the case of live-action sports
betting. Control group players evidenced behavior
similar to the population of players using this
service. These results add to our understanding
of behavioral markers for disordered Internet
gambling and will aid in the development of
behavior-based algorithms capable of predicting
the presence and/or the onset of disordered
Internet gambling. |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
| Raw Dataset 2 |
Raw Dataset 3 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
|
Title:
How Do Gamblers
Start Gambling: Identifying Behavioural Markers
for High-risk Internet
Gambling |
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin Interactive
Entertainment AG |
|
Description: BACKGROUND: The goal of
this study is to identify betting patterns
displayed during the first month of actual
Internet gambling on a betting site that can serve
as behavioural markers to predict the development
of gambling-related problems.
METHODS: Using
longitudinal data, K-means clustering analysis
identified a small subgroup of high-risk
gamblers.
RESULTS: Seventy-three percent of
the members of this subgroup eventually closed
their account due to gambling-related problems.
The characteristics of this high-risk subgroup
were as follows: (1) frequent and (2) intensive
betting combined with (3) high variability across
wager amount and (4) an increasing wager size
during the first month of betting.
CONCLUSION:
This analysis provides important information that
can help to identify potentially problematic
gamblers during the early stages of
gambling-related problems. Public health workers
can use these results to develop early
interventions that target high-risk Internet
gamblers for prevention efforts. However, one
study limitation is that the results distinguish
only a small proportion of the total sample;
therefore, additional research will be necessary
to identify markers that can classify larger
segments of high-risk
gamblers. |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Raw Dataset 2 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
|
Title:
Actual Internet
Sports Gambling Activity: February 2005 through
September 2005 |
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Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin Interactive
Entertainment AG |
|
Description: The first available
dataset for the Transparency Project comes from
the collaborative Internet gambling research
project involving the Division and bwin
Interactive Entertainment AG (bwin), an Internet
betting service provider headquartered in Vienna,
Austria. The dataset provides the first
prospective longitudinal data reflecting real-time
Internet sports betting behavior. It contains the
information from a large cohort of participants
(N = 40,499) who opened an account with bwin from
February 1, 2005 through February 27, 2005; this
dataset also describes the actual aggregated
Internet sports gambling behavior of participants
during the first 8 months of a longitudinal study
that took place from February 1, 2005 through
September 30, 2005. This bwin Internet gambling
dataset includes the following participant
information: demographic information (user ID,
country of residence, language, gender
registration date, age at registration), and
fixed-odds and live-action betting activity
(first active date, last active date, total days
active, total stakes, total winnings, total
bets). |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
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the dataset (text file). |
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the dataset (text file). |
Download
the dataset (SAS file). |
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the dataset (SAS file). |
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the dataset (SPSS file). |
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the dataset (SPSS file). |
| Raw Dataset 2 |
Raw Dataset 3 |
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the dataset (text file). |
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the dataset (text file). |
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the dataset (SAS file). |
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the dataset (SAS file). |
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the dataset (SPSS file). |
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the dataset (SPSS file). |
Title: Meta-analytic Prevalence
Estimates of Disordered Gambling in
the US & Canada |
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: National Center for
Responsible Gambling |
Description: This
meta-analytic dataset extends the first
comprehensive gambling related epidemiological
meta-analysis published in the American Journal
of Public Health in 1999 by Shaffer et al. to
update and efine the prevalence estimates of
disordered gambling in the United States and
Canada. This dataset employs an empirical
strategy to synthesize estimates of
gambling-related disorders across an array of
differing estimation methodologies and population
samples. This dataset provides the opportunity to
evaluate and integrate the range of assumptions
and strategies used by the various scientists who
have estimated the prevalence of disordered
gambling. This search strategy initially
identified 193 prevalence studies and a total of
146 studies were included for analyses in this
meta-analysis study. |
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the codebook. |
| Analytic Dataset |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
|
Title:
Virtual Casino
Gambling: February 2005 through February 2007
|
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin Interactive
Entertainment AG |
|
Description: The data includes two
years of recorded Internet betting activity by a
cohort of gamblers who subscribed to an Internet
gambling service during February 2005. The sample
included over 4,000 gamblers who played casino
games. The available demographic characteristics
of the research sample included age, gender,
country of residence, and preferred language. The
gambling behavior measures are based on
participants' monetary deposits to, and
withdrawals from, their wagering accounts, as
well as daily aggregates of betting activity
records. The daily betting aggregates include the
number of bets made, total monies wagered, and
winnings credited to the bettors' accounts. We
measured the duration of gambling involvement as
the number of days from the first eligible bet to
the last (i.e., Duration). |
|
Download
the codebook. |
| Analytic Dataset |
Raw Dataset 1 |
Raw Dataset 2 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
|
Title:
Sitting at the
Virtual Poker Table: February 2005 through
February 2007 |
|
Source: Division on Addiction,
Cambridge Health Alliance, a Harvard Medical
School teaching hospital |
|
PI: Dr. Howard J.
Shaffer |
|
Sponsor: bwin Interactive
Entertainment AG |
|
Description: This codebook provides
information about the raw and analytic datasets
that provided the evidence base for research
focusing on actual Internet poker gambling
(LaPlante et al., 2009). These datasets derive
from the collaborative Internet gambling research
project between the Division on Addictions (DOA)
and bwin Interactive Entertainment, AG (bwin), an
Internet betting service provider headquartered
in Vienna, Austria. These datasets provide
evidence from twenty-four months of the
prospective longitudinal, real-time, Internet
poker-playing behavior.
The datasets
contain raw and analytic data representing
twenty-four months of aggregated betting behavior
data for sequential bwin subscribers who opened
an account with bwin during the period from
February 1, 2005 through February 28, 2005. The
raw datasets RawDataSet1_DemographicsPoker and
RawDataSet2_AggregatePoker represent data from
48,114 people (100% of people who subscribed
during February, 2005). Of the full cohort, 4,459
elected to play poker online. Of these, we
excluded 951 participants who played fewer than
four poker sessions during the study period and
63 poker players who did not begin poker play
until the last month of the study period (i.e.,
began playing poker after January 31, 2007). The
resulting sample, included in the analytic data
set AnalyticDataSet_Poker, consists of the
remaining 3,445 people who contributed data to
the analyses reported in LaPlante et al.
(2009). |
|
Download
the codebook. |
|
Download
the notes on discrepancies with the manuscript. |
| Analytic Dataset |
Raw Dataset 1 |
Raw Dataset 2 |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (text file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SAS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
Download
the dataset (SPSS file). |
|