Questions related to Men
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?
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.
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?
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).
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:
- Rich Men
- Rich Women
- Poor Men
- 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
“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”.
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.
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.
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.
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.
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).
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?
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.
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]
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??
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.
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?
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?
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!
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
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.
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).
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
Conference Paper Conference Our ancestors the Gauls, the Slavs, the Dravidian...that Indo-Europeans came from North Western India and Central Asia. Best regards, Xavier Rouard
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.
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?
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.
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.
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.
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!
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?
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?
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 ..
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?
I am a student and the study I am appraising is to find out the barriers and facilitators of implementing evidence-based practice.
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.
- Dietary modifications
This project headquarters can be found at https://androgenhacker.com.
Please contribute any specific scientific research that may be helpful.
- David, RN, CCRN
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
Both Male and Female 57%
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,
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
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.
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.
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?
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?
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?
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
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
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?
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?.
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?
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.
#SARSvirus : Mostly females were infected.
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?
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?
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
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.
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.
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.
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?
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?
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!
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.
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.
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?
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!
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.
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.
For men experiencing domestic violence from women, what are their coping strategies?
Can I get research on violence against men?