Science topics: Counseling PsychologyMen
Science topic

Men - Science topic

Human adult males as cultural, psychological, sociological, political, and economic entities.
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There is in fact a Point-of-Care test for T. vaginalis, but it works only for women. What about a POC test for both women and men? What is the extent of the need?
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There is a POC test for women and men available: https://pubmed.ncbi.nlm.nih.gov/28684611/
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Gender relations in the Mediterranean region are a kaleidoscope of overlapping social, economic and cultural roles, spread across a diverse multitude of countries and communities. The European Mediterranean countries have distinct social patterns and gender norms, which differ from the MENA Mediterranean countries, for example. Additionally, the political climate in the region also determines how women and men are able to access and leverage sustainable development opportunities to be able to cope with climate risks, and achieve social and environmental co-benefits.
The degree to which people are affected by climate change impacts is partly a function of their social status, gender, poverty, power and access to and control over resources. Despite the international community’s increasing acknowledgement of the differential experiences and skills women and men bring to development and environmental sustainability efforts, women still have lesser economic, political and legal clout and are hence less able to cope with—and are more exposed to—the adverse effects of the changing climate.
Detrimental effects of climate change can be felt in the short-term through natural hazards, such as landslides, floods and hurricanes; and in the long-term, through more gradual degradation of the environment. The adverse effects of these events are already felt in many areas, including in relation to, inter alia, agriculture and food security; biodiversity and ecosystems; water resources; human health; human settlements and migration patterns; and energy, transport and industry.
In many of these contexts, women are more vulnerable to the effects of climate change than men—primarily as they constitute the majority of the world’s poor and are more dependent for their livelihood on natural resources that are threatened by climate change. Furthermore, they face social, economic and political barriers that limit their coping capacity.
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Thank you.
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The Monkeypox is a viral zoonosis with symptoms similar to those seen in the past in smallpox patients. According to WHO Monkeypox is usually a self-limited disease with the symptoms lasting from 2 to 4 weeks, but severe cases can occur. Recently, the case fatality ratio has been around 3–6%. The association with transmission is more limited to cases related to homosexual patients, can it be a more limited spectrum indication? In this way, the public health advice for gay, bisexual and other men who have sex with men is the main point to be addressed? Or should we learn more from other Monkeybox outbreaks? Should the care applied to the COVID-19 pandemic be useful in this case, for example? It's something new (at least for the current variant) and one that has caused great distress especially after the traumatic worst phase of the COVID-19 pandemic. The WHO recommendations have been assertive and very coherent, therefore, in the progress of current studies we should have more answers, but the question for simple discussion remains in the air: Is Monkeypox outbreak that dangerous or is there not enough data yet?
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Monkeypox virus is much less contagious than the circulating strains of coronavirus, and it is less deadly than COVID-19. The case fatality rate during the current international outbreak is less than one death for every 1,000 adult cases, which is lower than the percentage of unvaccinated people who die after getting COVID-19. Also, existing vaccines will be able to help slow the spread of monkeypox in high-risk populations if problems with limited supplies can be resolved.
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So A is a further version of B, and people said, "If you did B, why not A"
Example: "If you decide to pay for her meal, why not just pay for her everything?"
It sounds like straw men and slippery slope, but I don't think they are either.
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Because we are dealing with informal logic, fallaciousness will depend on context and is therefore a matter of pragmatics. If you regard the question and accompanying example as a kind of enthymeme then it will be possible to make explicit the tacit assumptions that make the argument valid; that is basically what you're doing with your third option.
I had said "on the face of it, fastening and telling are disjoint properties", which leaves open the possibility that more might be said. It would be interesting if you could repair your original example with a redescription that would make fastening and telling come out as instances of a property such that one of them amounts to more or less of it than the other.
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In psychological research, I am interested in testing the possible moderating function of some variables - including gender - on the relation between X and Y.
I have collected data from 100 heterosexual couples - same data for the men and for the women. The couples are also identifiable.
I am not interested in the dyadic aspect of the associations between the variables. Can I just check for moderation among my 200 respondents using hierarchal regression or Process ignoring the fact that there is indeed a relationship between the men and the women? Or must I take this fact into consideration in some manner?
If at all possible I would like not to complicate matters with the APIM methodology (or some other dyadic analysis) which I am not fluent with but to use the statistical tools that I am familiar with (ANOVA, regression, Process).
Thanks!
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You should not ignore the fact that there are dependencies arising from the dyadic nature of your design. Treating the couples as if they were independent observations would very likely bias your statistical inference (tests of significance etc.)
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Is there any scale recommendation to detect Sexual Predator or Paedophilia abnormality, especially in men?
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No conozco, averiguaré
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I am trying to perform a two-way ANOVA using SPSS with Sex (M/F) and Social Status (Rich/Poor) as factors to see if these groups are statistically different on physical attraction (this is a hypothetical example, not the real case). Here are the groups:
  1. Rich Men
  2. Rich Women
  3. Poor Men
  4. Poor Women
The result shows that the means of all four groups are different. How can I tell if these differences in means are statistically significant? Please note, the main variables of Sex and Social Status are not significant, but their interaction is significant. Can I run a post hoc comparison on these four groups? When I run Tukey, it gives an error that "post hoc tests will not be performed for this factor because there are fewer than three groups." Thanks
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Mohib Rehman, if you want to compare the four groups, you can alternatively create a categorical variable including these four groups through a recoding procedure based on the combination of sex and social status. You can then regress physical attraction on this categorical variable. The way you do it is that you run three regressions for each of which you use a different level of your categorical variable as a reference group. That should provide you with all the pairwise comparisons you need. Bear in mind that these comparisons will be considered liberal. Thus, you may also consider applying an adjustment.
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“Women are in back seated in their family in south Asian countries due to extreme gender stratification and men take the opportunity to control them using their male dominant rural culture. Rural men enjoy their muscle power over their women to prove their supremacy. Violence against women (VAW) starts from the family and women are in silence in most of the cases to avoid further familial disharmony as they have no place to go without any earning opportunity. Empowerment can inspire them more to find their own identity to protect themselves by raising their voices against the violence”.
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Empowerment of women can rid them of spousal violence, but not all empowered women can stop domestic violence even by showing resistance against abusive husbands. In the Indian sub-continent, patriarchy excludes any protesting women socially. Thus it silences abused women.
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Could you please explain what test is to be done.. t-test or ANOVA
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Depression Anxiety and stress are all latent variables. Multi-group analysis in CFA to make sure the scales are invariant across the groups. Then independent sample t-tests to check differences.
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I have started observing resting VO2 (ml/min) and wondering its clinical application? Can it be used as an indicator of certain cardiac problems?If yes, which one? What is a low resting VO2 indicator of?
I have found some papers stating how normal population values range between 250-350 and obese between 350-450. One study reported cardiac patients range values 100-450 demonstrating extra large intra-subject variability. Large scale studies have shown that resting Vo2 declines with age, increases with weight,
height, and body surface area, and is lower in women than men.
My experience, in some hand confirms this info. However, i did not have subjects going under 350. Didn't matter if moderately active or obese and sedentary,men and women, etc., they all had values between 350-500. Even pulmonary patient were at 300-400. Pro athletes, on the other hand, were much higher. Their values range was between 450-800.
Is there some lower limit that we can say that this person could potentially had some cardiac problems? Like, for example < 250?
Is it not contradictory for obese to have such high values?
I know that there are other complementary measurements and evaluation to confirm cardiac problems, but I am talking about VO2 only now.
Thanks
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It could indicate physical weakness, but not a diagnosis of disease
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I'm currently writing a term paper on the appropriation of AAVE in queer culture (specifically by white gay men). While I have already accumulated a lot of material, I find it very hard to phrase my actual research question. My paper should only be about 2000 words long, so I think I have to narrow down my topic even more.
My hypothesis is that white gay men use features typically associated with AAVE to evoke the image of a "sassy black queen", so my first instinct was to phrase my question along the lines of "To what extent do white gay men use AAVE features to evoke a “fierce black woman” personality?", but I don't know whether that might already be taking away my hypothesis.
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Developing research questions
  1. Clear and focused. In other words, the question should clearly state what the writer needs to do.
  2. Not too broad and not too narrow. The question should have an appropriate scope.
  3. Not too easy to answer.
  4. Not too difficult to answer.
  5. Researchable.
  6. Analytical rather than descriptive.
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Of course, this does not mean that women were less intelligent than men. The culprit for this was the middle of the relationship toward women. Women were not allowed to go to school. 
They could go to school and acquire a university education only those women who have had the good fortune to be born in a rich family.
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Dear Ljubomir Jacić,
thank you for your attached discussion. I will look at them.
Regards with the best wishes
Mirjana
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Based on the recent publication by Bancroft et al.; is it time to break the mould and suggest targeted prostate cancer screening?
' In the IMPACT trial: After the first screening round, carriers of MSH2 and MSH6 pathogenic variants had a higher incidence of prostate cancer compared with age-matched non-carrier controls. These findings support the use of targeted PSA screening in these men to identify those with clinically significant prostate cancer.'
Should men with a germline BRCA mutation and a known Lynch syndrome be considered for PSA screening?
Early prostate cancer diagnosis has been shown to improve outcomes and reduce disease related mortality.
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PSA is still a good screening method in spite of the 10-15% of false negative cases. However, 90% of the population would be benefited by an early detection.
The fact that many patients have a high PSA value due to situations like prostatitis or benign prostate hypertrophy, does not change the value of screening based on the algorithm
1) PSA+DIGITAL RECTAL EXAM . IF SUSPICIOUS 2) MRI and/or transrectal ultrasound. IF SUSPICIOUS 3) NEEDLE BIOPSY.
The criteria used by many medical societies to disqualify PSA as a screening method is more influenced by economic reasons (excess of surgical procedures in some indolent tumors) than a real lack of ability for early diagnosis.
Finally, the most powerful screening method is that of PSA + digital exam + common sense of the physician.
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I want to analyze how the difference between men and women (dichotomous independent variable) in a dichotomous dependent variable (daily consumption vs. lesser consumption) has changed over the long-term (39 annually repeated cross-sectional surveys).
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T test for paired data (mean/proportions)
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In the Experimental study that included young boys and girls, the treatment is exercises, how do we control biases here?
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@Mazen, do you stratify to ensure you have an equal number of each gender?
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Your research is very interesting. I think that studying it in terms of gender also gives new results because the feelings of women and men are always radically different from each other. Expressions of crying, fear, and affection are observed differently in both sexes.
Have you done any separate research on gender issues related to your topic?
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Actually I will have to... Topic of my habilitation is Education of woman in the developing countries, way to improve the environment...
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Literature (Martineau, 1997; block, 2000, Kingdon, 2002) Suggests that there has been gender-based differentiated educational attainment with men achieving higher educational outcomes than women. Even the curriculum that has been provided is gender insensitive. This phenomenon still exists in most countries of sub-Saharan Africa.
In light of the above statement, identify and discuss eight factors that contribute to women's low educational attainment and contribute to their constrained career opportunities in different parts of Sub-Saharan Africa.
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Women are significantly more likely than male peers to experience disputes over research authorship, says a major global survey that suggests that difficulties in gaining credit for research may be slowing women’s careers...
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What is the Language that uses the most expressions of GALLANTRY in your treatment formulas?
The women Ovid [Pluvius Ovidius Naso 43 BC - 18 AD] addresses are "delicate" creatures, who deserve aesthetic care, who are entitled to the elegance of clothes and jewelry: but in the Poet's sights there are also men, the object of so much seductive attention: they too they must take care of themselves with the same attention: and load the dose, warning the puellae that: “Nec tamen indignum: it vobis cura placendi, cum comptos habeant saecula vestra viros ...”
GALLANTRY IN POMPEII [ITALY]
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We can have all the means of communication in the world, but nothing, nothing ever equals the human gaze (the language of the eyes)...Silence sometimes utters so many words that we can feel them without hearing any word, but as soon as we pay attention to someone's look...Unfortunately, the language of the eyes and the language of silence is understood only by those who have a pure heart and a delicate sense... Therefore, we must look for an angel because we are beginning to lack these qualities... With great regret...My sincere gratitude.
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Hi there,
I'm currently writing my dissertation and very stuck on the statistics. I aim to examine the change in carbohydrate oxidation experienced in men and women at high altitude and sea level. I aim to do this for 2 time points during exercise in each condition. I assume I am to perform a 2-way repeated measure ANOVA (in SPSS 26). Please can someone help me how to perform and interpret this statistical test? Thank you in advance.
What I am currently doing:
Adding each time point separately so for the first hour I am adding "time" as the within subject factor name and adding 2 levels, then clicking define. I then add the sea level 1 hour" and "hypoxia 1 hour" data in the within subjects variables box and add "gender" into the between subjects factors. Is this correct??
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Comparing the number of pre-published articles between March 15 and April 15, 2020 versus the same period the previous year, Frederickson (2020) observed an overall increase in the number of authors who submitted articles on arXiv servers and bioRxiv .. "I was surprised to see that there had been more pre-publications during the pandemic," admits the researcher. But this may be explained by the fact that a lot of administrative work has been suspended. There are fewer meetings, committees and travel times have also disappeared. ”
However, over the period observed, this increase is lower for women than for men. Between 2019 and 2020, the number of female authors increased by 2.7, compared with a jump of 6.4% for female authors. On the bioRxiv platform, the gap is less marked (+ 24% for women and + 26% for men) but the data used only takes into account the corresponding authors.
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Es difícil aumentar la productividad científica estando en casa atendiendo la familia. Se necesita organizar el horario del día para poder hacerlo y lo otro es q el proceso de revisión de los artículos por los expertos es muy lento y eso provoca q a veces en un año publicas los q enviaste el año anterior.
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I am interested in knowing if there is any research work exploring factors that may affect the way in which girls and boys (aged 9-12 yrs.) complete physical activity self-report measures (e.g., questionnaires). Do you know of any studies that indicate that girls record/adjust their subjective physical activity better (compared to device-measured physical activity) than boys?
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1. In children aged 7 to 10 years, there is a relationship between the accuracy of a simple motor response and testerone, which means that there are differences in the accuracy of reproduction of joint angles and amplitude of movement. After 10-11 years, boys will better memorize single movements faster.
2.After 10-11 years, differences in the level of manifestation of muscular endurance, absolute strength and speed-strength readiness. At the same time, movement is better retained in memory with an equal number of repetitions for which the most favorable age-related physiological period of development is now. If the number of hours of training is the same for boys and girls, then boys after 10-11 years old will remember faster and perform better motor tasks associated with the manifestation of muscular endurance, absolute strength, and speed-strength training than girls at the same age.
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Boys face with oedipus complex. For this, they do have man model like father. What if they do not have any man model and the boy live only with their mothers. I meant that the boy take model their mothers rather than fathers. (By the way, not sexually, i mean that psychologically and ideologically). If the fixation occurs, how we can deal it? What should we do if we face with people who have fixation like that? Is it possible that oedipus complex turn into electra complex in boys?
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A similar hypothesis was addressed by Freud in his essay on Leonardo da Vinci. In fact, there may be a deviation in development; on the other hand it would be improper to speak of Elcectra compelx since the relationship is still that of a male towards a single parent, in this case the mother. Certainly the question must be investigated, but the elements that can put a certain pressure on the subject's mind that have nothing to do with the contextual dimension but with fantasies that we could call phylogenetic must not be excluded. In particular, a real trauma is not necessary to psychically experience a trauma, just as it is not necessary to confront a severe father to experience a paternal complex where the father becomes a "great inquisitor". I would advise you in this regard to take a look again at the wise totem and taboo, where the matter is addressed.
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Hypothesis was that positive association between couples relationship satisfaction and health-related quality of life would be positively moderated by communication self efficacy with health professionals for men with localised prostate cancer. Results were non-significant, as my 100+ sample delivered very negatively skewed scores on both predictors, indicating they were very happy relationally and very confident in their ability to ask and listen to their medical team. This cannot be representative of the wider population of these men as per loads of other research, so am struglling to find rationale as to why my smple is not generalisable. BTW, recruitment was from an opt-in online research arm of a national prostate cancer foundation. Any observations, advice, contrary research supporting my finding would be most appreciated!
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Yes, it was a moderation with couples' relationship satisfaction as predictor, communication self efficacy as moderator and health-related qualiaty of life as outcome, so couples satifaction + communication efficacy + couple sat*communication = health-related QoL. Both of the independent variable are known to increase the quality of life for men with prostate cancer and if I had had a popularion representative sample intheory should have been significant. Danke fur die Antwort Manuel!
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I am doing an experiement testing if there are gender differences when performing under pressure.
This involves both men and women performing a task in a high pressure condition and a low pressure condition. How can I check for reliability for scores, all participants performed the task in both conditions once.
What should I do to check for reliability
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:(
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Dear All,
I am working on designing an gender based violence (GBV) program evaluation tool to measure frequency of violence against men and boys over time. But I could not find any resources on this. Any resource materials would highly recommended.
Thanks
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Thank you so much Theodora Gazi for useful resource links.
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Varicocelectomy leads to an improvement in semen parameters only in 60-70% of cases, and real fertility in 30-60% of cases (Abdel-Meguid et al., 2011, Samplaski et al., 2017, Almekaty et al., 2019).
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As for male reason, as for some female reasons or both, subfertile couples need to recognise the natural fertile window in every menstrual cycle. The best and cheapest method to reconnoitre it is the symptothermal method.
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I found a very interesting paper published on Academia by Premendra Priyadarshi https://www.academia.edu/34474584/Of_Mice_and_Men_DNA_Archaeological_and_Linguistic_correlation_of_the_two_linked_journeys_of_mice_and_men?email_work_card=view-paper and would be interested by your comments, as it shows that rats, mice and men migrated together between 20.000-10.000 years ago in link with the expansion of agriculture from India by two routes, a Northern one by Central Asia and Russia and a Southern one by Iran and Anatolia to France and tends to confirm my theory expressed in my papers and that Indo-Europeans came from North Western India and Central Asia. Best regards, Xavier Rouard
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Thanks for your support, best regards, Xavier
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I am researching on Domestic Violence Against Men and unable to find scales which can be used on Indian Population. Kindly provide with links or pdfs that i can use. I will be grateful for the same.
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The greatest domestic violence against men is also the earliest one: circumcision.
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At the age of 2-5, the understanding of boys lags far behind that of girls. How does K1~3 education understand and face such problems? Are there practical and theoretical research conclusions?
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اساليب التدريسالمتنوعة
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Hi
I'm on my third year of an Open University degree. I'm coming towards the end and now preparing to think about questions to use for my final essay.
The concepts this module have been around 'security, attachment and conduct'.
The question that I've come up with after much thought is:
'How do women navigate, react and conduct themselves with a perceived threat from men'
I feel it will give me the agency to show all the skills I've learnt over the past few years and it feels relevant to today. However I would hugely appreciate some tips, advice and constructive criticism from those more experienced than I.
Thank you in advance.
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Thank you so much P. Laure. I was hoping to expand on the idea of threat in the essay.
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I'm in a pickle regarding my research project analysis in SPSS.
I have constructed a questionnaire, measuring 6 different motivators for shopping* and I want to know if there is a difference between what motivates women and what motivates men.
My data of men vs women is uneven (there are more women than men).
I also have 6 different motivations that I want to see if men and women strongly agree or strongly disagree (5-point Likert scale) but since I only have 1 question per motivator then I can't compute the mean. Will this mean I can't do tests?
I've tried to do Chi-square, Mann-Whitney U, Ordinal regression, all came insignificant. Does it just simply mean that there is no differences between groups? Or is the fact that I only have 1 question per item causing an error as the values are whole numbers (from 1 to 5)?
Reading about all the tests and arguments about whether to use t-tests or not on a Likert scale is making my head spin! I hope you can provide some guidance.
I should also mention that at first I have looked at the median and IQR and found that 3 factors are stronger than others in motivating my sample to shop*, but now I need to see if there is a difference between genders and which motivator is the most influential for women and for men.
Thank you.
*example
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Justyna Cuglewska If the Chi-sqr test did not return a significant difference, I would presume there is no gender difference. I would definitely check if I could combine the six motivators to create a composite scale (as suggested by David Morgan).
However, I see that David Morse is suggesting logistic regression (though my opinion coincides with David Morgan that it won't make difference if the Chi-sqr test returns insignificant relation). Please run this and share your experience with us here, so that we could also learn something.
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The reality is most heneious mass shooters, terrorists, random killers, drug business owners, violence creators, oppressors, war creators, rapists are men. Painfully still, our society is anti-feminism. Why men hate women, rape women, do violence against women and do not recognize the caregiving and reproductive role of women? Women are bringing life into the world and raising the children, how do men forget that in their daily lives? It is taking my whole life's energy to understand and learn how to challenge patriarchy. I am getting more curious to know the history of patriarchy, capitalism, religion and rape culture. Any suggestion for any important reading?
N.B: Feminism is not "male-bashing" or "man-hating". We need to learn how to challenge institutionalized, systematic oppression, we need to make a movement to end sexism.
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There's a great deal of literature around how to make lay counselling more accessible and acceptable to women in LMICs (range covering community-based care, humanitarian approaches and within maternal mental health) but I've been having a hard time finding similar evidence for targeted male counselling.
There is (some peer-reviewed and largely grey) evidence of low help-seeking levels and acceptability for mental health counselling when it comes to men from disadvantaged socio-economic settings in LMIC. Proposed reasons cover a wide gamut of potential factors including stigma pertaining to masculinity, accessibility of timing due to work burden etc, with little on considerations for content of approach.
My question is - If one was to co-produce such an approach, targeted to men (varying ages), where could one find preliminary evidence of what works for this group?
Would appreciate any leads!
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Is there a typical range in the power spectrum that each person has in the individual brain areas (19 electrodes, 10-20 system) and frequency bands (theta, alpha, beta gamma) during a rest measurement? Moreover, are there any researched differences between men and women in the resting activity in the power spectrum, again specifically for the brain areas and frequency bands?
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Thanks, Johanna. We were recording EEG power spectrum in Schizophrenics in 1985-86 on a seismographic analyzer by Nihon Kodon company. I am interested to see what results you get..
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In my study about gender inequalities, I want to add a measure of men's derogation. In a nutshell, I want to assess attitudes towards men and see whether this can be predicted by other factors that I will analyse.
One way of doing this would be by presenting participants with bipolar adjectives and ask them to rate a generic man on each of them. However, I cannot use this in this particular study as I already have a scale with bipolar adjectives in the questionnaire, which could have an impact on subsequent responses, and, most importantly, because there's too much overlap with gender stereotypes.
Does anyone want to share ideas on how to measure attitudes towards men in a different way?
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Alexander Osherenko and Katie Madeline Wyndzen thank you both so much for taking interest in my question! It is nice to be supported by more experienced researchers.
To answer your questions, I want to see whether there are differences in the way men are perceived or treated. One thing that would be interesting to look at, for instance, is how stupid is the average man according to the participant.
Since the moment I posted this question, I found two more acceptable ways of measuring what I want to measure, so I will list them here, and hopefully, they will make my point more clear.
One way would be using the same assessment they used in Stephan et al. (2000). They presented participants with a list of evaluative or emotional reactions toward men, which included terms like hostility, superiority, disliking and so on and participants had to indicate the degree to which they felt these reactions to men on a 10-points scale.
Another way would be using Glick and Fiske's subscale of Hostility Towards Men, from the Ambivalence Towards Men Inventory (Glick & Fiske, 1999). This contains items like "Men act like babies when they are sick" or "Men have no morals in what they would do to get sex". To me, this scale tackles the complementary gender stereotypes about men more than it does with hostility per se, but as Madeline pointed out, stereotypes and derogation go hand in hand and it can be difficult to draw a line between them.
Now, I hope I made my point more clear than it was, and please let me know what you think. Thanks again for the responses.
Glick, P., & Fiske, S. T. (1999). The ambivalence toward men inventory: Differentiating hostile and benevolent beliefs about men. Psychology of women quarterly, 23(3), 519-536.
Stephan, C. W., Stephan, W. C., Demitrakis, K. M., Yamada, A. M., & Clason, D. L. (2000). Women's Attitudes Toward Men An Integrated Threat Theory Approach. Psychology of women Quarterly, 24(1), 63-73.
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During climate change women and men perform different roles to combat the climatic events
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What role do men and women play to combat climate change? The negative role that men and women play to combat climate change, several times, is partly due to their ignorance, missing information and misinformation.
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That is depends on mTOR pathway
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At the level of individuals with scientific and professional responsibility? Information specialist, media men, professors and researchers
Enterprise level? School, university .. At the community level? Family, associations ..
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In the area of information acquisition four steps are recognized :1. Identifying one's information needs 2. Accessing the information 3. Evaluating it and 4. Utilizing it. Now your question falls squarely on the third step according to this conceptual thinking. What you do with the information you access before using it is very important. One must evaluate the information carefully before deciding to use. In my view this is the most important step in which people need training, awareness creation and critical thinking skills to guard against falling victim to information -pollution.
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Dear Colleagues
We found too hard to cure a teenage boy infected by tinea corporis in his arms ( photos shown below). Many systemic and topical antifungal agents were applied against this disease but his health hasn't improved. Could you please recommend any drugs or even the most relevant references to eliminate this infection?
Thank you
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Among various options, topical terbinafine for 4 weeks appears to be the treatment of choice for limited disease (tinea corporis/cruris/pedis). For more extensive disease, the choice is less clear. Both terbinafine (250–500 mg/day for 2–6 weeks) and itraconazole (100–200 mg/day for 2–4 weeks) appear to be effective.
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I am a student and the study I am appraising is to find out the barriers and facilitators of implementing evidence-based practice.
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Is it reasonable to have 1.6% men? If not, then you have a sampling bias issue. The other issue is sample size. If you have 125 surveys, and 2 of them were men, then there is not much you can conclude about the men. It might be better to indicate in the methods that there were few men (as expected) and with such a small sample these data were removed from subsequent analysis. I might put in a short results paragraph describing these unusual cases. You have more options if the number of surveys from men can be considered a valid sample.
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I've started a project with a goal of teaching men to increase testosterone levels naturally. TRT is standard treatment after all lifestyle factors have been addressed.
The aim is to establish a framework of lifestyle optimization strategies.
For example:
- Sleep
- Dietary modifications
- Exercise
This project headquarters can be found at https://androgenhacker.com.
Please contribute any specific scientific research that may be helpful.
- David, RN, CCRN
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Banihani SA. Ginger and Testosterone. Biomolecules 2018;8:119. https://www.mdpi.com/2218-273X/8/4/119/htm
Banihani SA. Testosterone in males as enhanced by onion (Allium Cepa L.). Biomolecules 2019;9:75. https://www.mdpi.com/2218-273X/9/2/75/htm
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More than 100 million people worldwide have Type 2 diabetes, and in many parts of the world, men have higher rates of the condition than women.
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Low testosterone levels in men can increase e visceral fat deposition, leading to increased type 2 diabetes.
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Hi,
We are analyzing data and have found the following finding. The results show that men and women hold equal responsibilities for many aspects of forest management and decision making in the home.
For some variables, men dominate and for some women dominate.
How can we interpret these results?
Below is an example of one of the tables of results.
Table 6: Earning income from household activities
Male 42%
Female 57%
Both Male and Female 57%
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As suggeste by our colleague Emmanuel Murray, we need more research information and details to be able to help: (1) what is your reserch domain?; what is (are) your resaerch question(s); (3) what are the expected finding goals?. Then we really need a context - demographic, social, economic, cultural, etc. - in order to evaluate any gender possible finding or interpretation.
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I found a reference to your project and I'm hoping you might have come across some findings and evidence that could explain this phenomenon beyond the usual 'Women leave their careers to form families' and 'Women come back from that in Part Time, which is not seen as valid for higher level management'.
My theory is that women do take time out for their families and thus tend to be older by the time they reach the career step where higher management begins. Men at this step are 45+ women are 50+. In addition, it appears that 50+ women are often not taken seriously while men who are 45+ (or even 50+) are taken especially seriously. At least this is my observation in the Tech / IT Industry. I'd love to know, if this is true outside my observations and if it's true beyond the tech/IT industry and beyond Germany. Did you come across or generate any stats? Do you know any other researchers on this topic?
Thanks for your time,
Anne Stahl
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In think we need to separate them into two aspects - physical aging, and 'taken seriously' or intellectual aging (which probably is respecting a person's opinion due his/her wisdom and experience). Both these aspects even though segregated, have strong interdependencies. While physical aging generally has negative connotations intellectual aging is seen as positive. Physical aging effect on women is taken more negatively than for men, and is so irrespective of the industry. Meanwhile, intellectual aging is driven by expertise and experience over years of effort/service, and the difference between men and women on this aspect are significant in younger years but tend to diminish with age. Intellectual aging is a valued asset in knowledge-based industries. Some cultural variations might be there due to matriarchal or patriarchal based societies e.g. in West vs East, but I think intellectual aging tends to reduce significantly the gender disparities across most societies and industries, and acts as a great leveler. Hence can we say physical age is positively correlated to intellectual age, which in turn is negatively correlated to gender discrimination? (probably that's the hypothesis to test!)
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My question is about logistic regression.
Why the same variable would be a significant predictor and sometimes not?
For example, I have an outcome (obtained mammogram at least once ) when I added spousal support variable along with other variables , which are annual income, residency for men and women, and age, spousal is significant predictor? please, see the attachment picture one.
However, when I added spousal support along with other or same variables, spousal support become insignificant predictor. Please, see the attachment, picture two
May you help me to understand this concept, and if there is any articles or videos for further reading.
Thank you so much
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Sir, did you run post hoc analysis. Sometimes, the aggregate variable category impacts dependent aggregate variable category but we really didn't know whether within category which component has significant impact and which has none. So post hoc analysis may help you out with this I guess.
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Hi,
I am wondering if someone can direct me to an ion implantation forum
My specific query is:
I am learning the SRIM software for simulating ion implantation process. I am however, not finding in the screen (where we give inputs like implanted ions, target to be implanted and its depth, the implantation energy etc.) the option to feed in the value of the implant dose. The spatial distribution of implanted ions in Monte Carlo Simulation apparently is invariant of the dose. The result displays the ion concentration per unit dose, and one can in principle get the absolute concentration by multiplying that output (I men the ion concentration per unit dose) by the actual dose that is used. Things are fine up to this.
The problem is arising in case of sequential implantation recipe with varied energy and dose [a common practice in semiconductor device industry]. One can change the energy halfway during simulation, but changing dose is still not possible. And if we ignore the change of the dose, which dose value should I multiply the final output parameter with?
Please feel free to write if you have some idea or know of some literature / video / another forum. Which might have it. Thanks in advance and really appreciate your help.
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I see your question was asked some months ago, I hope you have found a solution. I have spent much time working with SDTrimSP, which utilizes TRIDYN principles but focuses on modeling surface sputtering
In SDTrimSP you can specify fluence (ion/cm2), energy, molecular beams, etc.
After one simulation, you can extract the depth profile and implant another ion species into the new medium.
In SRIM each implant is a single simulation (because you can only select one ion), you need to string multiple simulations together with a spreadsheet or perhaps python code to get your end result.
If you want to continue using SRIM as your first pass at modeling your implants, I would consider doing the first implant, extracting the depth profile through the ion ranges file and calculating the new density for several "slabs" by multiplying the vertical axis by the fluence for that step. I would then build the updated target in a few layers for a simple slab analysis (bottom left of SRIM GUI). I would then repeat for the rest of your system. If you are working with less than 1E15 ions/cm2 per successive implant, this should give you a good approximation. If you are working upwards of 1E16, significant error may be induced due to highly dynamic sputtering. SRIM can account for sputtering, but it can be challenging to model.
Again, because you are in semiconductor manufacturing, the 4 published tutorials are very useful found in the SRIM file directory.
Let me know if you have any specific questions.
See the following paper for information regarding sputtering for the 3 simulations mentioned in this thread:
Josh
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Previous literature suggests that lower socioeconomic status (SES) men
through higher family sociodemographic pressure and lower capacity of stress control,
compared to higher SES men, are more likely to suffer from poorer subjective physical
health (SPH). Using a random cross-sectional survey of 1650 young adult men aged 20–50
from rural Bangladesh we examine whether lower SES, compared to middle and higher
SES, is significantly associated with poorer SPH, after controlling for family demographicpsychological
conditions. Result indicates that lower SES men with higher family
sociodemographic pressure, economic hardship, family stress and lower psychological
resources in comparison to middle and higher SES men are most likely to suffer from
poorer SPH. Further result suggests that SES is significantly associated with both poorer
and poor SPH, but when family demographic-psychological conditions are controlled, a
significant association of lower education, lower job status with day-laboring and income
only with poorer SPH remains constant. This association appears attributable to all family
demographic-psychological mechanisms except early marriage.
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If you consider higher SES eventually implies less time invested in work related activities, higher SES could mean more time to invest in leisure, exercise and other health related activities. Healthy food tends to cost more than the alternative, unless you have the means (economic and knowledge) to cook your own healthy/balanced meals
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I want to explore if there is a gender difference in a correlation between two ordinal items. I have calculated spearman rho within gender for the items, but I now need to test if the correlation coefficient is different between men and woman. Is there a way I can do this in SPSS?
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SPSS has an option split file. Once you have split the file for gender then it will give separate results for male and female, but finding whether they differ will still be a subjective matter. Using gender as a dummy to run regression will be more appropriate.
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I believe the statement: "Controlling greed in the face of unrestricted profit opportunities" as a definition for Business Ethics was attributed to Peter Drucker.
I was recently reading about the two men (brothers) in Tennesee in the USA who stockpiled over 17,000 hand sanitizers, accused of price gouging and how they were 'forced' to donate them.
Is it possible to be a successful wealthy capitalist without being greedy? Can I become a billionaire without greed? In the words of Gorden Gecko: "Greed is good". Is it?
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Also controlling the negative impact on environment in the face of profit opportunities
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We believe in oparin haldane concept, RNA world hypothesis, and off course big bang, it's all science. But some of the people other than science completely discard this. And then comes intersection between the two sets of individuals, group of those men who tries to maintain the balance between two thoughts. What do you believe is there some way to know the most fundamental question? Does we can create living functional cell from water and gases in the lab? Or still we are waiting for expansion of root quantum biology?
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When you believe in 'creationism', there is no need to pose scientific questions at all. God did that for all deists! Creationism is not science, it is a belief which does not require - by definition - corroboration by experiments or models. If however you want to know more about the origins of life or the origin of species, the increasing knowledge on molecular self-assembly (MSA) is not bad to start with, as well as Evolution Theory.
Since the serendipitous event that led to the first synthesis of a molecule by the hands of humans in 1826, the creation of molecular matter depended for 150 years on linking together molecules from other molecular building blocks with the help of strong covalent bonds. The advent of supra-molecular chemistry in the last decades of the 20th century has provided chemists with a wealth of new possibilities to synthesize molecular structures and materials that are held together by relatively weak, non-covalent interactions, such as hydrogen bonding, π–π stacking, electrostatic and van der Waals interactions. Using nature as a source of inspiration, the creation of even more complex supra-molecular architectures has recently become possible by applying the concept of hierarchical self-assembly, i.e. the non-covalent organization of molecules and macromolecules which takes places over distinct multiple levels, in which the assembly processes gradually decrease in strength.
There is no need for God or some supernatural entity at all in Evolution theory, nor in the self-aggregation of complex molecules.
Some people depicted Darwin as a chimpanzee. The response of Darwin to this was: "I will perform scientific research in the field of biological evolution and do not make statements on research in theology. I expect theologists or deists not to make statements on Evolution Theory or MSA, either".
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The literature regarding gender and the distribution of personality traits ( Big five personality traits model as a reference,; McCrae & Costa) are pretty clear. Women score higher on traits such as agreeableness and openness for example. There are some examples in the literature regarding why there is a difference between men and women in terms of personality traits. However how does sociological factors such as the influence asserted by the individuals belonging to social group, ethnic group, culture etc. Can we say that women across the spectrum are more agreeable or open and men are less agreeable according the the big five personality traits model (McCrae & Costa 1985 etc) or are there other markers that also influence out traits...can it be that in some cultures women are less agreeable than men for example or do you think the big five model and the distribution of traits in terms of a gender perspective is universal? Are there any identifiable research gaps in your view? Best wishes Henrik
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Personality variations between men and women have a more heritability and socio-cultural basis than gender in particular. Cultural changes are very long-term, therefore the dynamics of personality variations are unhurried and steady.
Among four recent twin studies, the mean percentage for heritability was calculated for each personality and it was concluded that heritability influenced the five factors broadly. The self-report measures were as follows: openness to experience was estimated to have a 57% genetic influence, extra-version 54%, conscientiousness 49%, neuroticism 48%, and agreeableness 42%.
Refer to the study below:
Bouchard TJ, McGue M (January 2003). "Genetic and environmental influences on human psychological differences". Journal of Neurobiology. 54 (1): 4–45. doi:10.1002/neu.10160.
Also, differences in the magnitude of sex differences between more or less developed world regions were due to differences between men, not women, in these respective regions. That is, men in highly developed world regions were less neurotic, extra-vert, conscientious and agreeable compared to men in less developed world regions. Women, on the other hand tended not to differ in personality traits across regions.
Refer to the study below:
Schmitt DP, Realo A, Voracek M, Allik J (January 2008). "Why can't a man be more like a woman? Sex differences in Big Five personality traits across 55 cultures". Journal of Personality and Social Psychology. 94 (1): 168–182. doi:10.1037/0022-3514.94.1.168.
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I gave an article to a men, and hw published the article without giving my contribution and giving proper name of mine.
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you can prove that by showing which one of you have the whole data and check the date of files it will show who has the older work also if you did any of plagiarism test you can add that . but most likely the data you collected is the major reference for that .
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It depends…
I really don’t have a preference working with men or with women. I guess I’ve been lucky in that we are all mature, respectful, and actually kind of fun to be around.
I dont think the gender matter its more about their work ethic and personality.
Some women can be great and some can be a nightmare to work with, the same applies to men.
So i don’t see how I could just choose one gender over the other.
#prefer #women #men #working #respectful #personality #donna #uomo #lavoro #Randieri #Intellisystem #IntellisystemTechnologies
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It makes no difference
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Women and men are created with various advantages and disadvantages. Is there really a difference between men and women in doing research and developing science?
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Dear all researchers,
Thank you very much for your reply and valuable contributions.
Best regards,
Nazar
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There seems to be sparse literature on men being victims of violence in a dating relationship compared to the abundance of studies on men being perpetrators of violence against women in a dating relationship in Africa. Does it mean that African men in dating relationships are not being abused by their partners?.
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Thank you for your honest response@Victoria Blinkhorn. You have nailed this issue. I must say too that you have an outstanding profile here, keep doing what is good for humanity.
v
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Willett WC, M.D., David S. Ludwig DS, in an article titled ‘Milk and Health’ published in ‘N Engl J Med 2020; 382:644-654 opined that "Among men, milk intake during adolescence was linearly associated with a 9% greater risk of hip fracture later in life for every additional glass consumed per day. No association with the risk of hip fracture was seen among women." What could be the possible explanations?
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Thanks Jabbar Mohammed for your interest in the topic.
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MERS-COV: Two-thirds (68%) of infected cases are men and case fatality rate is high in men as well.
2019-nCoV: In this regard epidemiology findings till date are almost similar to that of #MERS. Two-thirds of fatalities are in males.
Why Men?
#SARSvirus : Mostly females were infected.
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The gender susceptibility of COVID-19 might be associated with the consumption of tobacco and smoking rate which is mainly much higher in men rather than women as it is found in several research. As smoking and tobacco consumption leads to the several respiratory diseases. This condition may be responsible for mild to severe symptoms of respiratory infection as virus primarily affects Respiratory organs.
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The average normal body temperature is generally accepted as 98.6°F (37°C). From various scientific studies, we now know that body temperature fluctuates as much as 0.5 F (0.2 C) throughout the day; that young people generally stay warmer than elderly people; and that women tend to maintain a higher temperature than men, depending on where they are in their menstrual cycles.
As per some of the recent studies, The ideal body temperature may no longer be 98.6 F. another factor is the accuracy of the device used; which may effected due to various things like ambient temperature, source emissivity, reflections, etc.
So then what is the meaning of temperature screening alone at most of the entry and exit points?
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We are completing a systematic review and meta analysis on the accuracy of non-contact thermometers and thermal imaging. The pooled sensitivity and specificity for detecting fever (against a gold standard like core body temperature measurement with thermometer) is around 65% and 90% respectively in the preliminary analysis.
This means that as compared to clinical thermometry, 35 cases in 100 cases of fever would be missed, which as such is not a good measure for any screening test. However, this is only for screening fever or high body temperature. The other issue is use of antipyretics which can lead to normal temperature measurement even in febrile patients(after popping a pill). It is also worth noting that the best sensitivity and specificity comes from studies in which the factors known to have an influence on the measurement (like distance from target site, type of instrument, expertise of the operator, ideal ambient temperature) have been accounted for. However in real-life setting that may be difficult to emulate. For e.g ensuring a fixed distance of 1 m and all measurements done by an experience person may be difficult. The high specificity is again misleading. Not all patients with fever will be due to COVID-19 and physical toil before temperature measurement may lead to detection of 'fever'.
Taking all this in account, it may be reasonable to say that use of temperature screening by NCIT etc is not an ideal tool for COVID screening.
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It is generally accepted that women leaders are good communicators than men. Consequently, it is accepted (or assumed) that they are good instructional leaders than male school leaders. Do these assertions hold water in a developing country context?
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In the developing countries, mostly the females are hired for KG (Kindergarten) up till primary classes because the males do not regard it good to teach in the junior classes. One reason for female dominance is because of the abundance of graduated females which may not be able to strive for higher studies ends up with marriage and find no other reasonable job than ending up with teaching.
Another reason is the stereotypical mindset that females shall not endeavour for a site job among males. Also kids are more connected with mothers, so female teachers naturally appears to be their mothers in school and females find it easier to show more attention towards their students as their own kids.
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Urinary tract infection (UTI) is one of the most important
common infections in worldwide . Older women and
children are the most infected with this infection ]. Urinary
tract infection is broadly define as an infection of the urinary
system and may involve the lower urinary tract or the upper
urinary tract or both . Multi-drug resistance pathogenic
bacteria such as E. coli and K. pneumoniae are the main
pathogens cause urinary tract infection . The presence of
pathogenic bacteria in the urine of an individual without
symptoms of urinary tract infections is defined as a
symptomatic bacteriuria . Asymptomatic bacteriuria is
generally not recommended in all times only during in some
cases such as in pregnancy and at preoperative of men before
urological procedure.
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I am developing research on the amount of data mobile phone user consume by specific application and by demographics for use in a variety of other studies. For example, there are estimates of data uses by application. Facetime is estimated to consume 200 MB of data per hour. Netflix, 1G per hour and iMessages are approximately 1 KB per message sent or received.
There doesn't seem to be an authoritative source for this type of data and I'm seeking this or someone to recommend a research method. I am also willing to sponsor such research.
The result would a definitive data dictionary. Examples of result would be such as:
iMessaging consumes approximately 1KB of data per message on iPhones. For men or women, ages 25 or younger, users engage in 16.4 sessions per day. These session last an average of 3 minutes each and consist of an exchange of 15 messages consuming 16.2 KB of data.
In the 25 45 age group, sessions drop to 9.2 per day with each session lasting only 48 second. On average men in this age group are less engaged in these sessions sending 4 message per session vs. 7 message received.
A comparison of messaging app shows similar behavior across all platforms. Certain platforms perform more efficiently than others. Data indicates:
iMessaging - 1K per message sent, 1 K per message received (All iPhones)
FaceChat - 2.6 K per message sent, and 1.2 K per message received.
NewChat - 10 K per message sent and 14 K per message received (Full color mode is default)
NewSMS - .2K per message sent and .001 per message received (however high latency)
Methods, Published data, or willing researchers are sought.
Thank you
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Dear Ben Levitan,
The statistical analysis of the data traffic by the mobile users are available at the network operation centers of the mobile networks possessed by the operators of the these networks. The type of traffic and its duration are acquired and stored in data bases. They are used to develop the networks and to build new networks.
Otherwise there are traffic analyzers that can be used to analyse the traffic for each users. In this case you need to select a representative samples of the users.
Best wishes
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Does anyone know the possible etiology of a premature arrest of root formation of maxillary second premolars (bilaterally) in a 16 y.o. boy without any apparent systemic and local conditioning factor? the teeth remain under occlusion, open apex and root formed at 1/2-2/3. neighbors teeth show complete root formation.
thank you
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Interesting. Do you have serial radiographs when these teeth started formation. Sometimes they are delayed, hence delayed development.
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Currently I'm writing my thesis about products positioning of an existing product to a new market (Los Angeles).
The product that I am writing my thesis is a Dutch cosmetic facial spray mist and a body spray made of gold, cashmere and vitamins. The products are not yet in los Angeles. The product can be used before makeup and after makeup as a setting spray. The target group of the products are men and women who are interesting in cosmetics and have an income of between 2000 and 3500 euros.
I am now working on a research method for my thesis. I read in the literature of positioning that I need to do first an interview with current clients of the products and after that I have to do a survey in the new market.
I am thinking of doing interviews.I am not sure if I am able to do only an interview with people in los Angeles about their perception on the facial spray mist they use. There are approximately 10 million people in Los Angeles.
Do you think that I should follow the literature? Or I can do the interview with 25 people or how many people I should interview and how representative will the sample be of the larger target group (10 million people) ?
Thanks you in advance.
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Hello Twessy,
I agree with David L Morgan 's suggestion that you'd be better off restricting your inquiry principally to the qualitative side. Focus group or individual interview methods seem quite plausible, especially for a product as yet unknown to the potential informants. It's possible that a technique like correspondence analysis might be useful, if your goals include trying to determine the degree to which specific products in this market are perceived, relative to one another.
That said, though Los Angeles has in excess of 12 million persons, only a subset will fall into your target demographic of: (a) cosmetic users who would/do incorporate a facial spray; and (b) have the targeted income range. So, in all likelihood, no matter what your study ended up including, you'd have to screen participants (especially for qualitative approaches, so that you didn't waste your time collecting their information).
Good luck with completing your thesis!
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One of the most striking differences that has emerged so far is in the death rates of men and women.
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1. The immune response throughout life to vaccines and infections is typically more aggressive and more effective in females compared to males.
2.women have two X chromosomes, whereas men have only one – which is important when it comes a coronavirus. “In particular, the protein by which viruses such as coronavirus are sensed is encoded on the X chromosome. this protein is expressed at twice the dose on many immune cells in females compared to males, and the immune response to coronavirus is therefore amplified in females.
3.There are important behavioural differences between the sexes, for example in smoking, which affect the level of pre-existing disease such as heart disease, chronic lung disease and cancer.
4. Job and work, men are often hit harder than women in terms of unemployment. This is because more men work in industries that are closely tied to economic cycles – such as construction and manufacturing. Women, conversely, dominate more in industries not tied to such cycles, such as healthcare and
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Ornaments especially give beauty to girls and ladies. Now a days, boys and men are also wearing ornaments. Ornaments also resemble the status symbol in society. Are ornaments necessary and important for human being?
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Nice question
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Is it enough to explain the differences in FGIDs between men and women by studying the biological factors only? or we have to consider other factors such as socioeconomic and environmental factors?
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For my final year dissertation I am comparing imitation patterns among 2 year olds and 3 year olds. My IVs are age and gender DV is level of imitation. My hypotheses are that a) 3 year olds will over-imitate more than 2 year olds and b) girls will have higher imitation levels than boys. I am not sure what kind of design that falls under (stuck between correlation or quasi?) Thanks in advance!
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A lot depends on whether you dependent variable is interval level or not. If so, you can use a 2-way Analysis of Variance to examine whether there is a "main effect" for each of your independent variables, as well as whether there is an interaction between them. (In your case, an interval variable might be something like counts of how often imitation occurs.)
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in my opnion of course, i agree with the society where person fight to be the best and get better work and position for archievent. one example is the fact that in Spain the public charges should be ocupated by women and men alike, and i dont want that men and women alike rule me, i want that the best persons rule me indifferently they being men or women.
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meritocracy dignifies hard work, motivates the worker and provides a platform for better standards and exellency.
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Women are more likely to have iodine deficiency than men?
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I think that.
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Dear all,
I hope you can give me your opinion about this.
I have to test the following relationships (see attached image):
X1 to X4 are my main independent variables; they cannot be measured directly, but consist of the antecedents variables e1 to e8. Basically, I want to see the direct effect of X1-X2-X3-X4 (basically e1 to e8) on the dependent variable Y.
After that, I want to test if and how two moderators variables ( X5 and X6, both categorical, specifically male/female and individualist/collectivist) affect these relationships.
What I want to see, after the main direct relationships, is comparing these relationships between different groups (e.g. effect of X1 (e1-e2) on Y comparing the men sample vs women sample; individualist sample vs collectivist sample; men vs women only in the individualist sample; etc.).
I have some experience with multiple regression; however, looking for some information, I found that many analysis with similar conceptual model use SEM to test these relationships.
What is your opinion about it? What would be the best method?
Thank you in advance for any help.
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Naveed Hasan , thanks a lot for your help. Really appreciate that!
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What are some of the roles family members and significant others play in the abuse of men?
Can I get research on violence against men?
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hi i have you participants to interview on this subject if you want, they are willing to talk to you. :)
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I am trying to see if there is a relationship between personality traits and level of support for vigilantism using survey data. All the survey responses are likert scale and I am not sure what test would be best.
An example question for the independent variable: Here are a number of personality traits that may or may not apply to you. Please let me know the extent to which you agree or disagree that these traits describe you. You should rate the extent to which the pair of traits applies to you, even if one characteristic applies more strongly than the
other. - Critical, quarrelsome (strongly agree, agree, neither agree nor disagree, disagree, strongly disagree)
An example question for the dependent variable: A group of villagers spots three men illegally harvesting rosewood in the bush. They gather their weapons to confront the men about the crime. During the confrontation tempers flare and the rosewood harvesters are killed. - Thanks to people like the villagers, at least something is done about crime. (strongly agree, agree, neither agree nor disagree, disagree, strongly disagree)
I am going to use R to conduct the analysis so any coding advice is appreciated!
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Leedy, Paul D., and Jeanne Ellis Ormond. 2016. Practical Research: Planning and Design. 11th ed., Global. Boston, MA: Pearson.
page 163
"Although rating scales and rubrics might yield numbers, a researcher can't necessarily add the results of different scales together. For one thing, rating scales sometimes yield ordinal data rather than interval data, precluding even such simple mathemetical calulations as addition and subtraction."
page 110 under "Nominal Scales"
Appropriate statical analyses: mode, percentage, chi-square test
page 111 under "Ordinal Scales"
The following are in addition to statistics used for nominal data.
"We can also determine the median, or halfway point, in a set of data. We can use percentile rank to identify the relative position of any item or individual in a group. We can determine the extent of the realtionship between two characterics by means of Spearman's rank order correlation."
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I am currently writing a proposal for a pre:post test where schoolchildren will be participating in an open day showcasing diversity in nursing roles. The faculty will be 50/50 male female hoping To attract more young men into nursing. I will primarily measure if the open day has changed the likelihood of choosing nursing as a career and also specifically look at the amount of males say the would apply to nursing.
any advice on questionnaire design and data analysis would be appreciate.
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Regarding research design: I prefer to choose A Quazi experimental nonequivalent control group pretest–posttest design, While in data analysis: use Descriptive statistics, Pearson correlation, and independent sample t. test. I think that you will have a great study. which is new in the nursing discipline. Good Luck
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A few months ago I heard on the radio and later found on the Internet information that supposedly aspirin may increase the risk of developing melanoma in men. This does not apply to women. At the same time aspirin has a huge number of positive properties. Thus, even if it is prescribed by a doctor, should men take aspirin as a preventive measure against thrombosis or for other reasons? Or is it better to refrain from it? The information available to me seems contradictory.
I would really appreciate an expert clarification.
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Men who take daily aspirin for more than a year have a significantly increased risk of developing malignant melanoma.
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For men experiencing domestic violence from women, what are their coping strategies?
Can I get research on violence against men?
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It depends on thye culture. Belief systems are the products of one's environment. If one has been trained by one's culture that, because they are male, to report themsleves being abused and ask for help is wrong, they have to learn to live with that abuse. They may have learned a victim response from growing up and from their own family so start there with the coping strategies they use. They won't initially understand why but those natural methods will seem normal to them so they will gravitate toward them.
If they don't have a reference point, it becomes a problem-solving exercise. They have to hide the loss of self-respect, the loss of identity, and the lack of knowing what steps to take. Depending on their resources, they will choose to either accept the pain and self-medicate their way through it, adopt a strategy such as sports, or adopt workaholism where they will be given the compensating praise at work for being so dedicated while that masks the failure they are at home.
The method they choose is a complicated game of balancing the scales and dependent on their extrinsic or intrinsic motivations. If they are motivated from outside themselves they will allow others to provide their direction. If they are motivated from within they will decide based on their own conclusions. The question often comes down to what they think being a man is and how they compare to that definition.
With female victims we have a population where their resources and their physical safety can be immediately controlled by the male. With male victims there are different sorts of factors because the DV against them is typically not the same - more financial and psychological than physical. To answer your question you need to look at both same-gender and different-gender relationships as well mas the various power and control systems representing the socioeconomic classes they belong to. It isn't as simple as "men" or "women" victims. It also isn't as simple as calling every problem between two people "domestic violence". There is "violence" and there is "abuse" and that is a major problem with the entire subject. Everything gets thrown into a single pot and simplified down to the point where even the label doesn't do the subject justice. You need to refine the question. Thanks.