"You'll never get married. You're unlovable."
"You'll never get married. You're unlovable."
Factorial Designs: gone (cat)fishing
Repeated Measures: 50 first dates
Logistic Regression: the unfriendly ghost
KahootR
For anonymous voting 😎:
For non-anonymous voting 😁:
R is obviously the love of my life, but everyone laughs at me when I say that, so I'm searching for something else..
On my mission to find real life love, I've encountered 3 dilemmas I need your help with:
R is obviously the love of my life, but everyone laughs at me when I say that, so I'm searching for something else..
On my mission to find real life love, I've encountered 3 dilemmas I need your help with:
R is obviously the love of my life, but everyone laughs at me when I say that, so I'm searching for something else..
On my mission to find real life love, I've encountered 3 dilemmas I need your help with:
What's the best way to get dating app matches?
What's the best date to go on?
R is obviously the love of my life, but everyone laughs at me when I say that, so I'm searching for something else..
On my mission to find real life love, I've encountered 3 dilemmas I need your help with:
What's the best way to get dating app matches?
What's the best date to go on?
Why do I keep getting ghosted? [everybody say 'aww']
R is obviously the love of my life, but everyone laughs at me when I say that, so I'm searching for something else..
On my mission to find real life love, I've encountered 3 dilemmas I need your help with:
What's the best way to get dating app matches?
What's the best date to go on?
Why do I keep getting ghosted? [everybody say 'aww']
Dating apps have gained immense popularity in recent years, as they offer a convenient and accessible way for people to explore potential romantic relationships
The apps provide users with a platform to create a profile, often including information about themselves and photos
Users can then browse through other profiles, and based on their preferences, they can "match" with other users they find attractive or interesting
So my first super important life-changing research question is: how can I increase matches on my profile?!
From my observations of the world, I've noticed that profiles with a higher level of attractiveness tend to receive more matches...
So I conducted an experiment to investigate the two key components of a dating app profile: user information, and user photos
I asked 500 heterosexual men to view a dating app profile and provide a 'match rating' based on their level of interest in matching with the individual (scored from 1-10, higher score = higher interest)
From my observations of the world, I've noticed that profiles with a higher level of attractiveness tend to receive more matches...
So I conducted an experiment to investigate the two key components of a dating app profile: user information, and user photos
I asked 500 heterosexual men to view a dating app profile and provide a 'match rating' based on their level of interest in matching with the individual (scored from 1-10, higher score = higher interest)
Now for the important part:
Half of the participants saw an accurate user photo, the other half saw a photo that's been embellished to be more appealing 🐱🐟 - the photo condition
In each group of the photo condition, half of the participants saw an accurate user profile, and the other half saw a profile that's been enhanced to be more attractive to others 🐱🐟 - the profile condition
⏰ 7:30 AM: The alarm clock blares, signalling the start of another unremarkable day.
🚿 7:45 AM: Dragging myself out of bed, I have a quick shower to wake myself up, followed by the painting of my face to look more human.
☕️ 8:30 AM: Once ready, I run to the kitchen and grab a Poptart to eat on the go before I’m late to work.
🚗 8:30 AM: Joining the endless stream of traffic, I begin my mundane commute to work.
💼 9:00 AM - 5:00 PM: Work is a series of meetings, emails, teaching and routine tasks.
🥪 12:00 PM: Lunchtime arrives, and I’ve forgotten to make lunch in advance, so I hunt for the Oreos in my desk.
📚 5:30 PM: Finally, the workday is over, and I head home. No thrilling post-work adventures or glamorous social events, just the usual drive home.
🍔 6:30 PM: Dinner is a solo affair, with a microwaveable meal or something equally basic, just a humble dinner for one.
🛋 7:30 PM: The evening entertainment involves watching the same shows on Netflix over and over again. I also spend several hours mindlessly, and bitterly scrolling through social media.
💤 11:30 PM: As the night winds down, I go through my mundane bedtime routine. No luxurious pampering or elaborate rituals, just the usual washing, brushing and flossing.
🛌 12:00 PM: I crawl into bed, cry, and eventually fall asleep embracing the void.
⏰ 6:00 AM: The day begins with the soft melody of a chime, and I awaken in the comfort of my opulent mansion. Greeted by a picturesque view of the sunrise, I start my morning with a refreshing swim in my private pool or a session of yoga to centre my mind and body.
☕️ 7:30 AM: Savouring a gourmet breakfast prepared by my personal chef, I indulge in the finest delicacies from around the world. Whether it's fresh fruits from exotic lands or a sumptuous array of pastries, each bite is a delight for the senses.
💼 9:00 AM: With a sharp mind and a heart full of ambition, I dive into the world of business. From my luxurious home office or in the bustling heart of the city, I make strategic decisions, connect with visionary partners, and lead my empire to even greater heights.
🏞 12:30 PM: Noon calls for an exquisite luncheon with friends, family, or esteemed colleagues. We gather in an exclusive dining venue or a Michelin-starred restaurant, where culinary delights and captivating conversations flow.
🚁 2:00 PM: Stepping onto the helipad of my high-rise building, I embark on an aerial adventure, soaring above the city's skyline. The breathtaking views remind me of the endless possibilities life has to offer.
🏛 4:00 PM: As the afternoon sun graces the city, I indulge in my passion for art and culture. Whether it's visiting an art gallery, attending a private exhibition, or supporting a philanthropic cause, I embrace the beauty that enriches the world.
🛍 6:00 PM: What better way to unwind than with a little retail therapy? I explore exclusive boutiques and flagship stores, surrounded by opulent choices that reflect my discerning taste.
🌅 8:00 PM: Evenings are for enchanting moments, whether hosting an extravagant dinner party at my mansion or indulging in a candlelit affair at a world-class restaurant. Every sip and every bite is an exquisite symphony of flavours.
🎭 10:00 PM: As the moon rises, the night comes alive with entertainment. I attend exclusive events, dazzling parties, or indulge in a private screening of a movie at my very own home theatre.
🌌 12:00 AM: As the clock strikes midnight, I retire to my luxurious sanctuary, reflecting on the day's grand experiences. Drifting off to sleep, I know that tomorrow holds even more captivating opportunities and a chance to make the world a more beautiful place.
Effect | df | MSE | F | ges | p.value |
---|---|---|---|---|---|
photo | 1, 496 | 0.54 | 4637.66 * | .903 | <.001 |
profile | 1, 496 | 0.54 | 2020.82 * | .803 | <.001 |
photo:profile | 1, 496 | 0.54 | 203.16 * | .291 | <.001 |
photo | profile | emmean | SE | df | lower.CL | upper.CL |
---|---|---|---|---|---|---|
accurate | accurate | 1.59 | 0.07 | 496 | 1.46 | 1.72 |
catfish | accurate | 7.00 | 0.07 | 496 | 6.87 | 7.13 |
accurate | catfish | 5.48 | 0.07 | 496 | 5.35 | 5.61 |
catfish | catfish | 9.02 | 0.07 | 496 | 8.89 | 9.15 |
Effect | df | MSE | F | ges | p.value |
---|---|---|---|---|---|
photo | 1, 496 | 0.54 | 4637.66 * | .903 | <.001 |
profile | 1, 496 | 0.54 | 2020.82 * | .803 | <.001 |
photo:profile | 1, 496 | 0.54 | 203.16 * | .291 | <.001 |
photo | profile | emmean | SE | df | lower.CL | upper.CL |
---|---|---|---|---|---|---|
accurate | accurate | 1.59 | 0.07 | 496 | 1.46 | 1.72 |
catfish | accurate | 7.00 | 0.07 | 496 | 6.87 | 7.13 |
accurate | catfish | 5.48 | 0.07 | 496 | 5.35 | 5.61 |
catfish | catfish | 9.02 | 0.07 | 496 | 8.89 | 9.15 |
OK so now that we've decided being a super catfish is the best way to get matches, let's think about what type of date would be the most successful in finding me love!
For this next experiment, I went on multiple dates (10) with 50 participants, and got them to rate their 'dating interest' in me after each date
Every participant did every date type, which was counterbalanced
Dating interested was measured on a scale from 1-10, a high score = more interest
Effect | df | MSE | F | ges | p.value |
---|---|---|---|---|---|
date_type | 6.64, 3311.39 | 0.93 | 5048.18 * | .901 | <.001 |
date_type | emmean | SE | df | lower.CL | upper.CL |
---|---|---|---|---|---|
drinks | 2.99 | 0.05 | 499 | 2.88 | 3.09 |
cinema | 2.02 | 0.03 | 499 | 1.96 | 2.08 |
bowling | 2.95 | 0.03 | 499 | 2.89 | 3.01 |
rave | 5.50 | 0.02 | 499 | 5.46 | 5.55 |
funeral | 4.02 | 0.03 | 499 | 3.96 | 4.09 |
parents_dinner | 1.49 | 0.02 | 499 | 1.44 | 1.53 |
R_conference | 8.02 | 0.03 | 499 | 7.95 | 8.08 |
maldives_holiday | 8.99 | 0.03 | 499 | 8.93 | 9.05 |
friends_wedding | 3.93 | 0.06 | 499 | 3.82 | 4.04 |
skydiving | 7.45 | 0.04 | 499 | 7.37 | 7.53 |
term | contrast | null.value | estimate | std.error | df | conf.low | conf.high | statistic | adj.p.value |
---|---|---|---|---|---|---|---|---|---|
date_type | drinks - cinema | 0 | 0.972 | 0.060 | 499 | 0.774 | 1.170 | 16.134 | 0.000 |
date_type | drinks - bowling | 0 | 0.034 | 0.062 | 499 | -0.171 | 0.239 | 0.545 | 0.586 |
date_type | drinks - rave | 0 | -2.514 | 0.057 | 499 | -2.702 | -2.326 | -43.935 | 0.000 |
date_type | drinks - funeral | 0 | -1.036 | 0.064 | 499 | -1.247 | -0.825 | -16.114 | 0.000 |
date_type | drinks - parents_dinner | 0 | 1.500 | 0.059 | 499 | 1.305 | 1.695 | 25.214 | 0.000 |
date_type | drinks - R_conference | 0 | -5.028 | 0.064 | 499 | -5.238 | -4.818 | -78.576 | 0.000 |
date_type | drinks - maldives_holiday | 0 | -6.002 | 0.061 | 499 | -6.204 | -5.800 | -97.628 | 0.000 |
date_type | drinks - friends_wedding | 0 | -0.940 | 0.074 | 499 | -1.183 | -0.697 | -12.712 | 0.000 |
date_type | drinks - skydiving | 0 | -4.462 | 0.067 | 499 | -4.681 | -4.243 | -66.888 | 0.000 |
date_type | cinema - bowling | 0 | -0.938 | 0.045 | 499 | -1.086 | -0.790 | -20.848 | 0.000 |
date_type | cinema - rave | 0 | -3.486 | 0.037 | 499 | -3.607 | -3.365 | -94.586 | 0.000 |
date_type | cinema - funeral | 0 | -2.008 | 0.043 | 499 | -2.149 | -1.867 | -46.565 | 0.000 |
date_type | cinema - parents_dinner | 0 | 0.528 | 0.037 | 499 | 0.408 | 0.648 | 14.418 | 0.000 |
date_type | cinema - R_conference | 0 | -6.000 | 0.044 | 499 | -6.144 | -5.856 | -136.794 | 0.000 |
date_type | cinema - maldives_holiday | 0 | -6.974 | 0.044 | 499 | -7.118 | -6.830 | -158.890 | 0.000 |
date_type | cinema - friends_wedding | 0 | -1.912 | 0.061 | 499 | -2.114 | -1.710 | -31.115 | 0.000 |
date_type | cinema - skydiving | 0 | -5.434 | 0.054 | 499 | -5.610 | -5.258 | -101.238 | 0.000 |
date_type | bowling - rave | 0 | -2.548 | 0.039 | 499 | -2.675 | -2.421 | -66.001 | 0.000 |
date_type | bowling - funeral | 0 | -1.070 | 0.043 | 499 | -1.211 | -0.929 | -24.905 | 0.000 |
date_type | bowling - parents_dinner | 0 | 1.466 | 0.039 | 499 | 1.337 | 1.595 | 37.348 | 0.000 |
date_type | bowling - R_conference | 0 | -5.062 | 0.045 | 499 | -5.208 | -4.916 | -113.637 | 0.000 |
date_type | bowling - maldives_holiday | 0 | -6.036 | 0.043 | 499 | -6.177 | -5.895 | -140.673 | 0.000 |
date_type | bowling - friends_wedding | 0 | -0.974 | 0.063 | 499 | -1.180 | -0.768 | -15.473 | 0.000 |
date_type | bowling - skydiving | 0 | -4.496 | 0.054 | 499 | -4.673 | -4.319 | -83.406 | 0.000 |
date_type | rave - funeral | 0 | 1.478 | 0.040 | 499 | 1.347 | 1.609 | 36.970 | 0.000 |
date_type | rave - parents_dinner | 0 | 4.014 | 0.031 | 499 | 3.912 | 4.116 | 128.646 | 0.000 |
date_type | rave - R_conference | 0 | -2.514 | 0.039 | 499 | -2.641 | -2.387 | -64.855 | 0.000 |
date_type | rave - maldives_holiday | 0 | -3.488 | 0.039 | 499 | -3.617 | -3.359 | -88.572 | 0.000 |
date_type | rave - friends_wedding | 0 | 1.574 | 0.060 | 499 | 1.379 | 1.769 | 26.409 | 0.000 |
date_type | rave - skydiving | 0 | -1.948 | 0.050 | 499 | -2.111 | -1.785 | -39.247 | 0.000 |
date_type | funeral - parents_dinner | 0 | 2.536 | 0.039 | 499 | 2.408 | 2.664 | 64.782 | 0.000 |
date_type | funeral - R_conference | 0 | -3.992 | 0.046 | 499 | -4.143 | -3.841 | -86.780 | 0.000 |
date_type | funeral - maldives_holiday | 0 | -4.966 | 0.045 | 499 | -5.113 | -4.819 | -110.664 | 0.000 |
date_type | funeral - friends_wedding | 0 | 0.096 | 0.066 | 499 | -0.120 | 0.312 | 1.460 | 0.290 |
date_type | funeral - skydiving | 0 | -3.426 | 0.055 | 499 | -3.605 | -3.247 | -62.644 | 0.000 |
date_type | parents_dinner - R_conference | 0 | -6.528 | 0.038 | 499 | -6.653 | -6.403 | -170.766 | 0.000 |
date_type | parents_dinner - maldives_holiday | 0 | -7.502 | 0.038 | 499 | -7.626 | -7.378 | -197.773 | 0.000 |
date_type | parents_dinner - friends_wedding | 0 | -2.440 | 0.060 | 499 | -2.635 | -2.245 | -40.964 | 0.000 |
date_type | parents_dinner - skydiving | 0 | -5.962 | 0.048 | 499 | -6.118 | -5.806 | -125.366 | 0.000 |
date_type | R_conference - maldives_holiday | 0 | -0.974 | 0.047 | 499 | -1.128 | -0.820 | -20.770 | 0.000 |
date_type | R_conference - friends_wedding | 0 | 4.088 | 0.064 | 499 | 3.879 | 4.297 | 64.248 | 0.000 |
date_type | R_conference - skydiving | 0 | 0.566 | 0.054 | 499 | 0.389 | 0.743 | 10.516 | 0.000 |
date_type | maldives_holiday - friends_wedding | 0 | 5.062 | 0.063 | 499 | 4.854 | 5.270 | 79.914 | 0.000 |
date_type | maldives_holiday - skydiving | 0 | 1.540 | 0.055 | 499 | 1.360 | 1.720 | 28.085 | 0.000 |
date_type | friends_wedding - skydiving | 0 | -3.522 | 0.068 | 499 | -3.746 | -3.298 | -51.459 | 0.000 |
Ghosting is a phenomenon that often takes place within the realm of dating and has become increasingly common in the era of digital communication
Ghosting can have various negative effects on the ghostee, both emotionally and psychologically 😢
So, in the quest to become a ghostbuster, I'm researching predictors of being ghosted (or not) to save people (me) from an unwanted fright (more therapy)
For our final experiment, I went on dates with 500 participants, and categorised the outcome of those dates into: ghosted vs not ghosted based on whether we spoke again after the date
I collected the participants' fear of commitment score (1-5, higher score = more fear), and whether I talked about R on the date (R talk or no R talk)
term | estimate | std.error | statistic | p.value | conf.low | conf.high |
---|---|---|---|---|---|---|
(Intercept) | 1.050 | 0.367 | 0.134 | 0.893 | 0.510 | 2.164 |
commitment_fear | 0.945 | 0.115 | -0.488 | 0.625 | 0.753 | 1.185 |
talk_typeR_talk | 0.717 | 0.488 | -0.681 | 0.496 | 0.275 | 1.868 |
commitment_fear:talk_typeR_talk | 1.172 | 0.150 | 1.058 | 0.290 | 0.874 | 1.575 |
term | estimate | std.error | statistic | p.value | conf.low | conf.high |
---|---|---|---|---|---|---|
(Intercept) | 1.050 | 0.367 | 0.134 | 0.893 | 0.510 | 2.164 |
commitment_fear | 0.945 | 0.115 | -0.488 | 0.625 | 0.753 | 1.185 |
talk_typeR_talk | 0.717 | 0.488 | -0.681 | 0.496 | 0.275 | 1.868 |
commitment_fear:talk_typeR_talk | 1.172 | 0.150 | 1.058 | 0.290 | 0.874 | 1.575 |
Catfishing is the way to go
Catfishing is the way to go
The best date you can go on is a holiday to the Maldives, closely followed by attending an R conference
It doesn't matter if you go to a funeral, or to a friend's wedding, both are pretty average...
But dinner with parents is the worst overall!
Catfishing is the way to go
The best date you can go on is a holiday to the Maldives, closely followed by attending an R conference
It doesn't matter if you go to a funeral, or to a friend's wedding, both are pretty average...
But dinner with parents is the worst overall!
& we still don't know what increases the likelihood of being ghosted... dissertation project anyone?? 😀
*all data are fictional, dating success may vary!
"You'll never get married. You're unlovable."
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