Source

• Published by: Joaquin Vanschoren @ 2016 on https://www.openml.org/d/40536

• Available at:

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Metadata

• This data was gathered from participants in experimental speed dating events from 2002-2004.

• During the events, the attendees would have a four-minute "first date" with every other participant of the opposite sex. At the end of their four minutes, participants were asked if they would like to see their date again. They were also asked to rate their date on six attributes: Attractiveness, Sincerity, Intelligence, Fun, Ambition, and Shared Interests.

• The dataset also includes questionnaire data gathered from participants at different points in the process. These fields include: demographics, dating habits, self-perception across key attributes, beliefs on what others find valuable in a mate, and lifestyle information.

Attribute Information

There are totally 56 preprocessed features which have undergone the data preprocessing in the dataset such as 'd_ funny' which show the particular attributes in discrete form. The dataset also 'has_ null' which represents whether the particular sample consisting null values. Several features with 'expected_' means the expectations of the users towards partners.

Relevant Paper

• Raymond Fisman; Sheena S. Iyengar; Emir Kamenica; Itamar Simonson. Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment. The Quarterly Journal of Economics, Volume 121, Issue 2, 1 May 2006, Pages 673–697, https://doi.org/10.1162/qjec.2006.121.2.673

Dataset

This dataset was created by Cyprien MANGEOT

Contents

According to a survey about online dating in China in August 2018, approximately 47.6 percent of the Chinese respondents aged between 18 and 21 years had participated in a speed dating event, compared to 25 percent of the respondents aged between 36 and 40 years. Due to the decades long one-child policy, a skewed sex ratio has developed in China. Many single Chinese men, especially migrant workers, struggle to find a dating partner.

Developed in fall 2016 by librarians at Carnegie Mellon University – Jill Chisnell and Teresa MacGregor – Speed Databasing is an active learning activity for introducing students to a variety of library research databases. The activity draws on the metaphors of SpeedDating™, online matchmaking apps, and personals ads. The combination of humor, time limits, and movement turn the traditional show-and-tell lecture into something fun and memorable.

Evidence synthesis (ES) support, such as systematic or scoping reviews, has proliferated across libraries and similar institutions. Services often include an educational component, although the content and delivery vary according to factors such as target audience needs and capacity/resources available to library employees. This immersion session will highlight various instructional approaches that participants may utilize in their own settings. Panelists represent a wide range of experiences, including context (e.g., cross-disciplinary, clinical settings), audience type, and experience with providing ES instruction. Panelists will discuss the successes and challenges of providing ES instruction and describe instructional approaches for various formats to users both inside and outside the library. During a breakout session, attendees will engage with panelists via a brainstorming activity to stimulate conversation about instructional strategies. Attendees will leave the session with a plan for how to provide instruction on evidence synthesis regardless of their population and resources. This session is for librarians of all expertise levels who offer or plan to offer a systematic review service to their patrons. This immersion session was held at the 2024 Annual Medical Library Association Conference.

Speed dating has become more popular in China as the country has more men than women due to the one child policy. Many single Chinese men have difficulties finding their future spouse. According to a survey about online dating in China in August 2018, about 47.8 percent of the respondents from the third-tier cities had participated in a speed dating event.

This dataset is about book subjects and is filtered where the books is Speeddating. It has 10 columns such as book subject, earliest publication date, latest publication date, average publication date, and number of authors. The data is ordered by earliest publication date.

N = 187 Northwestern University undergraduates (93 women, 94 men) participated in one of eight speed-dating events. At each event, participants went on 4-minute dates with all 11-12 opposite-sex individuals who attended the event; they completed a 2-minute questionnaire at the end of each date. These dates were video- and audio-recorded.

Prior to the speed-dating event, participants completed a 30-minute intake questionnaire.

Following the speed-dating event, participants completed 12 follow-up surveys over the course of 16 weeks (i.e., 1 survey every 3 days for the first 5 surveys; 1 survey every 2 weeks for the subsequent 7 surveys).

Dataset

This dataset was created by end_of_night.17j03

Released under Apache 2.0

Contents

The goal of the "Date me for Science" speed-dating study is to investigate processes (i.e., interpersonal perception and judgmental processes, behavioral processes) of dating and romantic partner choice and their short- and long-term consequences in a realistic setting.

An overview of the study can be found in the Wiki. More detailed information about study materials and data can be found in the codebook in the Files section.

Please find the data and codebooks corresponding to the analyses in:Wu, K., Chen, C., & Greenberger, E. Nice Guys and Gals Can Finish First: Personality and Speed-dating Success among Asian Americans

Explore the historical Whois records related to speeddating.com (Domain). Get insights into ownership history and changes over time.

Dataset

This dataset was created by Akash Vishwakarma☑️

Contents

Speed dating : a dating game novel is a book. It was written by Natalie Standiford and published by LittleBrown in 2006.

Explore the historical Whois records related to speeddating.org (Domain). Get insights into ownership history and changes over time.

Secondary Data Speed Dating is a whirlwind introductory level one hour presentation that covers: how to locate existing data or datasets on a topic of research: data repositories, open data portals, literature searches, Google; where to locate learning resources for working with secondary data or datasets; a very brief overview of the merits and challenges of working with secondary data instead of doing original research.

No description was included in this Dataset collected from the OSF

What influences love at first sight? (Or, at least, love in the first four minutes?) This dataset was compiled by Columbia Business School professors Ray Fisman and Sheena Iyengar for their paper Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment.

Data was gathered from participants in experimental speed dating events from 2002-2004. During the events, the attendees would have a four minute "first date" with every other participant of the opposite sex. At the end of their four minutes, participants were asked if they would like to see their date again. They were also asked to rate their date on six attributes: Attractiveness, Sincerity, Intelligence, Fun, Ambition, and Shared Interests.

The dataset also includes questionnaire data gathered from participants at different points in the process. These fields include: demographics, dating habits, self-perception across key attributes, beliefs on what others find valuable in a mate, and lifestyle information. See the Speed Dating Data Key document below for details.

For more analysis from Iyengar and Fisman, read Racial Preferences in Dating.

Data Exploration Ideas

• What are the least desirable attributes in a male partner? Does this differ for female partners?
• How important do people think attractiveness is in potential mate selection vs. its real impact?
• Are shared interests more important than a shared racial background?
• Can people accurately predict their own perceived value in the dating market?
• In terms of getting a second date, is it better to be someone's first speed date of the night or their last?

Dataset

This dataset was created by Arslane Med

Contents