/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 95 Does cuddling after sex help boo... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Does cuddling after sex help boost sexual and relationship satisfaction? A study \(^{55}\) involving 335 participants involved in romantic relationships found that people who reported more time spent on cuddling and affection after sex were more satisfied with their sex lives and relationships. This fact held true for both men and women. The average amount of time spent cuddling after sex was 15 minutes, and time spent on after sex affection was more strongly associated with sexual and relationship satisfaction than time spent on either foreplay or sex itself. (a) Is this an observational study or a randomized experiment? (b) Can we conclude that spending more time on affection after sex increases sexual and relationship satisfaction? (c) A headline for an article \(^{56}\) describing this study was titled "To Spoon or Not to Spoon? AfterSex Affection Boosts Sexual and Relationship Satisfaction." Does the study support this title? (d) The title of the scientific article in which the study was originally published is "Post sex affectionate exchanges promote sexual and relationship satisfaction." Does the study support this title?

Short Answer

Expert verified
(a) It is an observational study.\n(b) No, we can't definitively conclude that spending more time on affection after sex increases satisfaction due to potential confounding variables.\n(c) The study does show an association but doesn't support the cause-effect conclusion implied in the headline.\n(d) The study does show an association which can be interpreted as 'promotions', thus it's more in line with the findings, but still not completely clear-cut.

Step by step solution

01

Identify the Nature of the Study

An observational study is one where researchers simply observe the subject without manipulating any variables, while a randomized experiment involves manipulation of one or more variables to see the effect on the subjects. In this study, there was no manipulation of variables - the researchers simply gathered information about participants' reported satisfaction levels and their duration of cuddling time. So this is an observational study.
02

Evaluate Cause-Effect Relationship

With observational studies, we can find associations between variables but we cannot definitively prove a cause-effect relationship. This is due to the possible presence of confounding variables that hasn't been accounted for. Therefore, we can't conclusively say that spending more time on affection after sex increases satisfaction. However, the study does show a positive association between the two factors.
03

Assess the Article Headline

The headline 'To Spoon or Not to Spoon? AfterSex Affection Boosts Sexual and Relationship Satisfaction' implies a cause-effect relationship, whereas the study only shows an association. Although the headline is not incorrect, it may not accurately represent the study's findings and could potentially mislead readers.
04

Assess the Scientific Article Title

The title of the scientific article, 'Post sex affectionate exchanges promote sexual and relationship satisfaction' is more guarded in implying a cause-effect relationship. Promote in this context can mean either cause or simply associated, so it's more accurate than the previous headline, but still open to interpretation.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Causal Relationship
Understanding causal relationships in studies is critical for interpreting results accurately. A causal relationship implies that one event is the result of the occurrence of another event; simply put, there is a cause and effect. For instance, if we were to say that more cuddling after sex leads to higher sexual and relationship satisfaction, we are suggesting a causal link between these behaviors and feelings of satisfaction.

Causality is not easy to establish, however, especially in observational studies, like the one involving the 335 participants who reported on their cuddling habits. Since the participants were not assigned randomly to conditions of differing cuddling times—which would have been a randomized experiment—researchers can only point out a correlation or association, not a definitive cause-and-effect relationship. As a result, while we might observe that more cuddling is associated with greater satisfaction, we cannot confidently say that one causes the other without further, controlled research.
Confounding Variables
When examining studies, we often come across the term confounding variables. These are factors other than the independent variable in a study that could cause the observed effect. In the study cited above, a confounding variable might be the participants' overall emotional connection with their partner, which isn't directly measured or controlled. These variables can lead to mistaken conclusions about cause and effect relationships.

To minimize the impact of confounding variables, researchers might use control groups, random assignment, or statistical controls. However, in the cuddling study, which is an observational study, the presence of unmeasured confounding variables means that we should be cautious in interpreting the connection between post-sex affection and satisfaction as causal. This highlights the importance of designing experiments carefully to ensure that any conclusions about causality are well-supported.
Sexual and Relationship Satisfaction
The concepts of sexual and relationship satisfaction refer to an individual's contentment with the sexual and relational aspects of their romantic partnerships. In the cuddling study, higher satisfaction levels could be influenced by various factors such as duration and quality of the relationship, communication skills, and individual expectations. It is also worth considering that satisfaction is deeply personal and subjective; what satisfies one person in a relationship might not satisfy another.

The study findings indicate that there is a positive association between time spent cuddling and increased satisfaction. But is cuddling simply a part of an already satisfied relationship, or does it actively contribute to satisfaction? Here's where a randomized experiment would be handy. By manipulating the cuddling time across different couples and examining the effects on satisfaction, we could start to address the question of causality more directly. Until then, while we can recognize the importance of after-sex affection, we should be careful not to overstate its impact without more definitive evidence.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The ability to recognize and interpret facial expressions is key to successful human interaction. Could this ability be compromised by sleep deprivation? A 2015 study \(^{58}\) took 18 healthy young adult volunteers and exposed them to 70 images of facial expressions, ranging from friendly to threatening. They were each shown images both after a full night of sleep and after sleep deprivation ( 24 hours of being awake), and whether each individual got a full night of sleep or was kept awake first was randomly determined. The study found that people were much worse at recognizing facial expressions after they had been kept awake. (a) What are the explanatory and response variables? (b) Is this an observational study or a randomized experiment? If it is a randomized experiment, is it a randomized comparative experiment or a matched pairs experiment? (c) Can we conclude that missing a night of sleep hinders the ability to recognize facial expressions? Why or why not? (d) In addition, for the people who had slept, the study found a strong positive association between quality of Rapid Eye Movement (REM) sleep and ability to recognize facial expressions. Can we conclude that better quality of REM sleep improves ability to recognize facial expressions? Why or why not?

A 2014 headline reads "Sitting Is the New Smoking: Ways a Sedentary Lifestyle is Killing You," 12 and explains the mounting evidence for ways in which sitting is bad for you. A more recent large 2015 study \(^{53}\) contributed to this evidence by following 69,260 men and 77,462 women and finding that for women, those who spent more leisure time sitting were significantly more likely to get cancer. (a) What are the explanatory and response variables for the 2015 study? (b) Is the 2015 study an observational study or a randomized experiment? (c) Can we conclude from the 2015 study that spending more leisure time sitting causes cancer in women? Why or why not? (d) Can we conclude from the 2015 study that spending more leisure time sitting does not cause cancer in women?

For the 2015 Intel Science Fair, two brothers in high school recruited 47 of their classmates to take part in a two-stage study. Participants had to read two different passages and then answer questions on them, and each person's score was recorded for each of the two tests. There were no distractions for one of the passages, but participants received text messages while they read the other passage. Participants scored significantly worse when distracted by incoming texts. Participants were also asked if they thought they were good at multitasking (yes or no) but "even students who were confident of their abilities did just as poorly on the test while texting." 15 (a) What are the cases? (b) What are the variables? Is each variable categorical or quantitative? (c) If we create a dataset of the information with cases as rows and variables as columns, how many rows and how many columns would the dataset have?

Describe the sample and describe a reasonable population. The Nielsen Corporation attaches databoxes to televisions in 1000 households throughout the US to monitor what shows are being watched and produce the Nielsen Ratings for television.

A relationship between two variables is described. In each case, we can think of one variable as helping to explain the other. Identify the explanatory variable and the response variable. Blood alcohol content (BAC) and number of alcoholic drinks consumed

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.