betsylevyp - Tweet Data Analysis
Tweets Analysis - Keyword: @betsylevyp
Übersicht
Tweets covering
4 days
Latest tweet was on
2023-03-21
Earliest tweet was on
2023-03-17
Total number of tweets analysed
13
Average age of authors' accounts
11 years
Zusammenfassung
The tweets cover various topics related to empirical research, including the importance of understanding human behavior, the potential for selective reporting of data, the need for rigorous testing in science, and the role of generalizability in research. Some tweets reference specific papers and researchers, and others offer opinions on research practices and methodologies. Ultimately, the tweets highlight the complexities and challenges of conducting and interpreting empirical research.
Themenmodellierung
- Behavioral economics and psychology
- Research methodology
- Data analysis and reporting
- Sampling techniques
- Generalizability and validity
Emotionsanalyse
Trendanalyse
- Behavioral economics: Several tweets mention or tag experts in behavioral economics including Cass Sunstein, Richard Thaler, Adam Grant, and Betsy Levy Paluck.
- Scientific methodology: A number of tweets discuss scientific methodology, particularly the issue of selective reporting in research.
- Social psychology: A few tweets touch on topics related to social psychology, such as how survey questions are responded to, the importance of human behavior in marketing, and the idea of horizontal and vertical differentiation.
- Academic discourse: Many of the tweets are part of an ongoing academic discussion, with individuals responding to or commenting on each other's research.
- Generalizability: A few tweets mention issues related to generalizability in research, including the importance of representative sampling and the potential for assumptions of generalizability to be problematic.
Haftungsausschluss: Die Textanalyse auf twtdata.com, unterstützt durch OpenAI, stellt nicht die Ansichten von twtdata.com oder seinen verbundenen Unternehmen dar. Die Analyse dient nur zu Informationszwecken und ist keine Bestätigung einer Meinung.
Tweet-Arten
Number of Retweets
0
0% vom Gesamten
Number of Original tweets
0
0% vom Gesamten
Number of tweets that were Quotes
1
7% vom Gesamten
Number of tweets that were Replies
13
100% vom Gesamten
Number of tweets that contain Hashtags
0
0% vom Gesamten
Number of tweets that contain Mentions
13
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter Web App | 10 |
| Twitter for Android | 2 |
| Twitter for iPhone | 1 |
Geräteverteilung
Top 10 Konten nach Followern
| Username | Name | Bio | Followers count |
|---|---|---|---|
| lakens | Daniël Lakens @[email protected] | Mostly active on @[email protected]. If you want to interact with me, please join Mastodon, it is nicer there. Experimental Psychologist @TUeindhoven. | 28.401 |
| RobertLepenies | Robert Lepenies | University President & Professor @karlshochschule #Sustainability #Scicomm #SDGs #Water #Nudging #Karlsruhe #Berlin #Brussels @GlobalYAcademy. Dad of 3. | 9.850 |
| JohnSakaluk | 🧪🌡️❤️🛏️John Sakaluk🛏️❤️🌡️🧪 | He/Him. Sexuality, relationships, & methods. Assistant Professor (@MaRSS_Lab) at @westernuSocSci/@westernuPsych. KU/Guelph Alum. JSR Registered Reports Editor | 3.777 |
| OlegUrminsky | Oleg Urminsky | Prof @ UChicago Booth. Trying to learn how people think. Not a statistician but not exactly a psychologist either. You kids keep me young. | 3.606 |
| RafMBatista | 𝚁𝚊𝚏𝚊𝚎𝚕 𝙼 𝙱𝚊𝚝𝚒𝚜𝚝𝚊 | PhD Student @ChicagoBooth. #BehSci w/ a dash of CB, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. | 3.148 |
| danielmabuse | daniel read 💎 🇨🇦 | Behavioural Scientist working at University of Warwick. Charter member, Nudgeaholics Anonymous | 2.408 |
| ianhussey | Ian Hussey | Meta-scientist and behaviorist studying the behavior of scientists. “Jumped-up punk who hasn’t earned his stripes.” All views a product of my learning history. | 2.174 |
| AaronCharlton | Aaron Charlton ⚪ | Analyst/marketer working in healthcare. Former academic. I maintain https://t.co/EmF8Uyasxx which aims to improve evidence quality in marketing research. | 930 |
| MinduWangd23404 | Mindu Wangdi | I did serve in govt office for 15 years and now want to be a educated farmer in Bhutan. I am interested in teaching Buddhism too. | 6 |
Top 10 Konten nach Following
| Username | Name | Bio | Followers count |
|---|---|---|---|
| RobertLepenies | Robert Lepenies | University President & Professor @karlshochschule #Sustainability #Scicomm #SDGs #Water #Nudging #Karlsruhe #Berlin #Brussels @GlobalYAcademy. Dad of 3. | 9.958 |
| JohnSakaluk | 🧪🌡️❤️🛏️John Sakaluk🛏️❤️🌡️🧪 | He/Him. Sexuality, relationships, & methods. Assistant Professor (@MaRSS_Lab) at @westernuSocSci/@westernuPsych. KU/Guelph Alum. JSR Registered Reports Editor | 3.197 |
| ianhussey | Ian Hussey | Meta-scientist and behaviorist studying the behavior of scientists. “Jumped-up punk who hasn’t earned his stripes.” All views a product of my learning history. | 1.748 |
| OlegUrminsky | Oleg Urminsky | Prof @ UChicago Booth. Trying to learn how people think. Not a statistician but not exactly a psychologist either. You kids keep me young. | 1.720 |
| lakens | Daniël Lakens @[email protected] | Mostly active on @[email protected]. If you want to interact with me, please join Mastodon, it is nicer there. Experimental Psychologist @TUeindhoven. | 1.467 |
| danielmabuse | daniel read 💎 🇨🇦 | Behavioural Scientist working at University of Warwick. Charter member, Nudgeaholics Anonymous | 1.353 |
| RafMBatista | 𝚁𝚊𝚏𝚊𝚎𝚕 𝙼 𝙱𝚊𝚝𝚒𝚜𝚝𝚊 | PhD Student @ChicagoBooth. #BehSci w/ a dash of CB, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. | 1.097 |
| AaronCharlton | Aaron Charlton ⚪ | Analyst/marketer working in healthcare. Former academic. I maintain https://t.co/EmF8Uyasxx which aims to improve evidence quality in marketing research. | 348 |
| MinduWangd23404 | Mindu Wangdi | I did serve in govt office for 15 years and now want to be a educated farmer in Bhutan. I am interested in teaching Buddhism too. | 75 |
Aktivste Nutzer
| Username | Bio | Number of tweets |
|---|---|---|
| OlegUrminsky | Prof @ UChicago Booth. Trying to learn how people think. Not a statistician but not exactly a psychologist either. You kids keep me young. | 3 |
| lakens | Mostly active on @[email protected]. If you want to interact with me, please join Mastodon, it is nicer there. Experimental Psychologist @TUeindhoven. | 3 |
| AaronCharlton | Analyst/marketer working in healthcare. Former academic. I maintain https://t.co/EmF8Uyasxx which aims to improve evidence quality in marketing research. | 1 |
| JohnSakaluk | He/Him. Sexuality, relationships, & methods. Assistant Professor (@MaRSS_Lab) at @westernuSocSci/@westernuPsych. KU/Guelph Alum. JSR Registered Reports Editor | 1 |
| MinduWangd23404 | I did serve in govt office for 15 years and now want to be a educated farmer in Bhutan. I am interested in teaching Buddhism too. | 1 |
| RafMBatista | PhD Student @ChicagoBooth. #BehSci w/ a dash of CB, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. | 1 |
| RobertLepenies | University President & Professor @karlshochschule #Sustainability #Scicomm #SDGs #Water #Nudging #Karlsruhe #Berlin #Brussels @GlobalYAcademy. Dad of 3. | 1 |
| danielmabuse | Behavioural Scientist working at University of Warwick. Charter member, Nudgeaholics Anonymous | 1 |
| ianhussey | Meta-scientist and behaviorist studying the behavior of scientists. “Jumped-up punk who hasn’t earned his stripes.” All views a product of my learning history. | 1 |
Tweets pro Tag
Top 10 Tweets nach Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1638325186939310081 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Congrats looking forward to engage… | 0 |
| 1638202997770698753 | @ianhussey @JohnSakaluk @maltoesermalte @betsylevyp The author's statement implies that they don't understand either (a) how little thought participants put into responding to survey questions or (b) how much of the … | 0 |
| 1638201297970003970 | @JohnSakaluk @maltoesermalte @AaronCharlton @betsylevyp Maybe it's worth saying that my point is basically the authors' own point. I guess they see it as making this interesting, whereas I see it … | 0 |
| 1638197877070520320 | @ianhussey @maltoesermalte @AaronCharlton Yeah, or check out others. Recent from same lab: https://t.co/dbQHc70OSL. Recent (and triple badger) from a different group (incl. @betsylevyp): https://t.co/2mthYnETPD] Of the two, I think the … | 0 |
| 1638070421776990208 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Human behavior is key point to tap for business success and marketing as per their desire. As human … | 0 |
| 1636738426920738817 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas And I'll add a third point -- everything should be reported in an appendix, so that the reader can re-evaluate and make up … | 0 |
| 1636738242643886081 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas Second is the distinction between horizontal and vertical differentiation. When there is a clear quality difference, we should use the better methods. But … | 0 |
| 1636737854440108035 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas I think there are two parts here. First, it depends a lot on the generalizability goals of the research. Narrow "existence proof" claims … | 0 |
| 1636667523029508099 | @danielmabuse @RafMBatista @OlegUrminsky @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas In the end we will never know if in this specific instance your biases got the better of you, or if you … | 0 |
| 1636667125342298113 | @RafMBatista @OlegUrminsky @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas Any scientist is free to do exactly what you described (and sometimes, they have no other option). But they did not severely test … | 0 |
Top 10 Tweets nach Likes
| ID | Text | Like count |
|---|---|---|
| 1638325186939310081 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Congrats looking forward to engage… | 2 |
| 1638202997770698753 | @ianhussey @JohnSakaluk @maltoesermalte @betsylevyp The author's statement implies that they don't understand either (a) how little thought participants put into responding to survey questions or (b) how much of the … | 2 |
| 1638070421776990208 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Human behavior is key point to tap for business success and marketing as per their desire. As human … | 2 |
| 1636738426920738817 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas And I'll add a third point -- everything should be reported in an appendix, so that the reader can re-evaluate and make up … | 2 |
| 1636667523029508099 | @danielmabuse @RafMBatista @OlegUrminsky @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas In the end we will never know if in this specific instance your biases got the better of you, or if you … | 2 |
| 1636665636645380096 | I get that this is a charitable interpretation of what happens in empirical research, but I'm especially curious about selective reporting *given* non-random selection of measures & paradigms cc: @OlegUrminsky … | 2 |
| 1638197877070520320 | @ianhussey @maltoesermalte @AaronCharlton Yeah, or check out others. Recent from same lab: https://t.co/dbQHc70OSL. Recent (and triple badger) from a different group (incl. @betsylevyp): https://t.co/2mthYnETPD] Of the two, I think the … | 1 |
| 1636738242643886081 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas Second is the distinction between horizontal and vertical differentiation. When there is a clear quality difference, we should use the better methods. But … | 1 |
| 1636737854440108035 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas I think there are two parts here. First, it depends a lot on the generalizability goals of the research. Narrow "existence proof" claims … | 1 |
| 1636666952558034945 | @RafMBatista @OlegUrminsky @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas I would say that as long as it is in your interest to report some weights rather than others, you will selectively … | 1 |
Top verwendete Sprachen
Top 10 Hashtags
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @betsylevyp | 13 |
| @uri_sohn | 8 |
| @jpsimmon | 8 |
| @m_sendhil | 8 |
| @alexoimas | 8 |
| @rafmbatista | 7 |
| @lakens | 5 |
| @olegurminsky | 5 |
| @maltoesermalte | 3 |
| @mhallsworth | 2 |
Wortwolke der Tweets
Benötigen Sie individuelle Twitter-Datenanalyse?
Erhalten Sie detaillierte Einblicke zu jedem Stichwort, Hashtag oder Konto mit twtData.
Jetzt starten