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Childcare - Science topic

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I have a dependent variable: childcare take up, with answers 1 or 0.
I have several other independent variables such as education level, household income, migration background, etc. I have dichotomized all of them. For example, observations with college education have been classified as 1, otherwise 0.
I would like to know which regression model would be the best to predict the childcare take up.
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For dichotomous dependent variables, you could use logistic regression.
However, I would discourage you from dichotomizing your independent variables (leave them in their original metric). Dichotomizing leads to a loss of information and can reduce statistical power. There is almost never a need to dichotomize variables from a statistical perspective because there are many statistical procedures available that can handle ordinal-polytomous and/or continuous (metrical, interval-scale) variables. When you type "dichotomizing continuous variables" into Google Scholar, you will find a large number of relevant references that explain why this is a bad idea.
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The participation of young scientists in obtaining external grants has become extremely important. One of the three criteria of the evaluating process in Poland is related to the number of external grants, both Polish and foreign, obtained by all departments. Databases collecting information on the number of funds obtained by individual people allow the formulation of various conclusions. Most young researchers have an administrative background, achievements in the form of publications and experience in cooperation with foreign countries. The constraints in the form of variables affecting young researchers could be categorized. Among the limitations, the following could be examined: additional working hours, the number of applications that were not approved, support from immediate superiors, the list of publications made before the application process, personal constraints (childcare, childcare leaves, long absences).
The hypothesis is related to the supposition that the greatest limitation is the closest environment in which the researcher works and the most significant constraint is the personal attitude that researchers have to the supervisor.
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I endorse your view point.
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Hi,
I am a postgraduate Human Resource Management student currently completing my dissertation. My research is focusing on the experiences of working mothers with flexible working. The research is solely quantitative and the data being collected is through a questionnaire with a 100 person sample.
I'm struggling with the type of quantitative research to use - the questionnaire asks questions like "with flexible working, what do you think could be the biggest career disadvantage as a working mother", "is the opportunity to work flexibly something that is important to you in a job role", "if you have worked/currently work flexibly, what impact do you feel that flexible working has had on your career", "before having children, did you have concerns about how having children could affect your career progression?" "did you find it difficult to arrange childcare upon your return to work?". Ending with statements that they can either strongly disagree or strongly agree with.
I was leaning towards descriptive research because I don't exactly have hypotheses in mind but rather wanted to discuss the findings like "x number of working mothers feel that x is the biggest career disadvantage for as a working mother" with visual graphs, and making comparisons like "those who stated they were single generally found it more difficult to arrange childcare and stated that the opportunity to work flexibly was important to them compared to x".
My question really is, for research like this is it appropriate to use descriptive research such as this?
Thank you
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Personally, as an examiner, I would not accept purely descriptive research for a dissertation, unless it was qualitative in nature. If you have included a number of Likert scales, then you could conduct exploratory factor analysis to see what factors unfold, then you could could conduct cross-tabulation (using t-tests, Anova, generalized linear model, etc.) with the other aforementioned questions (independent variables) to see if there are any significant differences. There are a number of very relevant YouTube videos that take you through the above step by step. You can also refer to Prof Gaskins's website http://statwiki.gaskination.com/index.php?title=Main_Page, which has much useful information and videos. However, having said all this, what you do ultimately depends on your research questions and objectives. Though, descriptive statistics has very little value in my personal opinion, since it merely describes the sample, which means one can generally not "statistically" draw valid conclusions from the results that can be generalized.
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Hello, I'm doing a multiple logistic regression, both backward and forward LR come up with the same independent variables that are statistically significant (as attached, Forward LR). I have no problem including age, gender, and gadgetownedbychild in the model. However, one of the dummy variables (childcare(3)) is statistically significant but not other dummy variables within the childcare independent variable. Do I include that dummy variable to continue the steps to determine multicollinearity, interaction etc until the final model or not? If it can be included, how do I go about it? I find it difficult since this variable (childcare) has 5 options, unlike the other 3 which have 2 options only. Thanks.
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You should not decide on inclusion/exclusion of variables by their statistical significance.
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Researchers can easily work from home, however during the COVID-19 lockdown remote-work was accompanied by an increase of childcare responsibilities.
This question is for all South Africans who remote-worked and cared for children during the lockdown. We have created a 15-minute survey regarding your experience balancing remote-work and childcare during the South African COVID-19 lockdown:
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Hi,
I am currently doing a systematic review with meta-analysis inquiries of very heterogeneous literature (different barriers to childcare access, from very different nature with very different measures).
I tried to do a funnel plot of quantitative results and it looks like the one joined with my post. We can see it is very asymmetrical with a lot of values on the top of the pyramid.
What can I conclude from that (-if any conclusion is to be made-)? Could this very strange pattern be due to the substantial heterogeneity of the underlying evidence? Actually, I am not even sure that doing a funnel plot makes sense in this case.
Thanks in advance so much for helping
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Based on the funnel plot alone, I would interpret substantial asymmetry. You can perhaps make more sense of the asymmetry in a quantitative way by trying Egger test or trim-and-fill sensitivity test, among others. You must also correlate the clustering of the outcome points at the top. Do the studies really have similar sample sizes, similar dispersion even in the face of different sample sizes, among others? As most of them are at the top of the plot, it appears that their standard errors are relatively small, and standard errors are affected by both standard deviations and sample size.
Regarding your concern that you are "not even sure that doing a funnel plot makes sense in this case," I would even go further: considering the substantial heterogeneity in the results, which you have foreshadowed as being likely due to differences in barriers, are you confident that doing a single pooling/meta-analytic activity makes sense? You should strongly think of (1) doing separate pooling activities based on narrower/more specific criteria for each pooling or (2) doing a systematic review without a meta-analysis, i.e., mainly or primarily a qualitative synthesis.
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My research question is: do parents with low SES have a higher chance to send their child to a lower quality daycare service?
Data have been gathered among parents (>3000) whose child attended a childcare service. The quality of the daycare has been judged by independent experts (so there is 1 score for each daycare service; we have about 300 daycare services). So while parents differ in terms of social background characteristics, when they send their child to the same daycare the quality score is identical.
What would be the best way to analyse these data and answer my research question:
Should I aggregate the background characteristics to the group level (but it seems to me that this will not answer the type of question I want to answer)
Should I disaggregate the quality score and run a simple regression (but then I do not take into account the clustering in my data).
Thanks for sharing your thoughts!
Best regards,
Bram
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You need macromicro models! :)
In that technique you can use the group level construct as the dependent variable.
Croon, M. A., & van Veldhoven, M. J. P. M. (2007). Predicting group-level outcome variables from variables measured at the individual level: A latent variable multilevel model. Psychological Methods, 12(1), 45–57. https://doi.org/10.1037/1082-989X.12.1.45
Foster-Johnson, L., & Kromrey, J. D. (2018). Predicting group-level outcome variables: An empirical comparison of analysis strategies. Behavior Research Methods, 50(6), 2461–2479. https://doi.org/10.3758/s13428-018-1025-8
Becker, D., Breustedt, W., & Zuber, C. I. (2018). Surpassing Simple Aggregation: Advanced Strategies for Analyzing Contextual-Level Outcomes in Multilevel Models. Methods, data, 31 Pages. https://doi.org/10.12758/MDA.2017.05
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Interesting discussion on giving care to children! Does GDP/economic growth mean everything to a country? When we blindly pursue this target what are the negative by-products we get? Until very recently, we were targetting cognitive skills development of our children. But now the focus has started to shift to whole-person/holistic/ whole-brain-child development. Similarly, it is not just the GDP figure that matters but developing sustainable societies. "However 39 per cent of the women who reported childcare as the main barrier to work also confessed that they actually preferred to look after their children. Shock, horror." "The child is hardwired to its mother's smell, and the sound of her voice. The mother becomes responsive to her infant's face, its vocalisations and its touch. Because a child needs to be attached to someone to survive, evolution has led it to be programmed from before birth to attach to a caregiver as soon as it hits the deck. But this evolutionary necessity does not suit the modern world. It does not suit the neo-liberal world view of economic growth as the key driver of all actions and public policy."
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Normally mother's love has to be a barrier before work due to her basic commitment to her children.But it seems that mothers in modern time are divided between home ,family and work.Ultimately they sacrifice family to work.Hence devotion almost dies.This effects the raising of her children.They actually lose the basic sensitivity, emotional relationship and become more practical and self-centred.Eventually we have hard people!
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What do you think is the style of leadership among directors of childcare centers? how does it relate to the child readiness to school?
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servant leadership
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I need help with a project I am working on that I am not sure what exact statistics test I should use or what my range of values need to be.
Working title of practicum project:
“A Time to Heal “Attendance of educational classes for oncology patients in Broward, Palm Beach, Martin and St Lucie Counties.
Question 1
Answer Yes or No
Does your practicum project involve the collection of data using a survey instrument?
yes
If you have a practicum project that involves the collection of data via a survey, you will need to estimate the number needed for responses. Keep in mind that this is a target for statistically validity - you may or may not reach this target, but it is a goal to emphasize the strength of your eventual results, and you need to be able to explain the statistical validity of the analysis associated with your project based on the number of data points analyzed. There are several websites available to determine an appropriate sample size, such as:
· Sample Size Calculator by (Raosoft) – see a screenshot of this site at the end of this form
If you answered “Yes” to the question above regarding using a survey instrument,
how many responses to your survey are you targeting, and why?
Target Number of Responses
Justification
Out of 245 patients we are trying to get at least 150 responses
To get a 5% margin error and a 95% confidence level the population size should be 245 with a response distribution of 50%, the recommended sample size should be 150
📷
Question 2
Answer Yes or No
Does your practicum project involve the use of secondary data?
no
If you answered “Yes” to the question above regarding using secondary data,
describe the dataset source below.
Question 3
Answer Yes or No
Does your practicum project involve the use of variables (from a survey, database, dataset, etc.)?
yes
If you answered “Yes” to the question above regarding using data variables,
list the variables, variable types, and range of values below.
(add additional rows as needed)
Variable Name
Variable Type
(e.g., categorical, continuous, dichotomous, etc.)
Range of Values
Attendance- dependent variable
Continues variable
Sociodemographic -independent variable
Gender (categorical), county(categorical), age(categorical), diagnosis (categorical)
Barriers independent variable (10)
Dichotomous variable types are: Scheduled class time, uncomfortable in a group setting, lack of transportation, lack of childcare, prefer not to return to the place of treatment, worried about the class being depressive/negative, language barrier, employment status, other.
Question 4
Answer Yes or No
Does your practicum project involve a research hypothesis?
If you answered “Yes” to the question above regarding a research hypothesis,
state the null and alternative hypotheses below.
Research Question: How does a patient’s attendance increase and how can we gain an understanding of individual patient perceptions of their unique barriers to the attendance to educational classes and consideration of patients' preferences on what topics to include in the educational classes?
Null Hypothesis
Alternative Hypothesis
Increasing patient’s attendance and their barrier to attending classes is not significantly related to either the scheduled class times, lack of transportation, lack of childcare, avoidance of negative emotions, prefer not to return to the place of treatment, language barrier, employment status, other and/or number of patients with a specific cancer diagnosis, age, gender and county.
Increasing patient’s attendance and their barrier to attending classes is significantly related to either the scheduled class times, lack of transportation, lack of childcare, avoidance of negative emotions, prefer not to return to the place of treatment, language barrier, employment status, other and/or number of patients with a specific cancer diagnosis, age, gender and county.
Question 5
Answer Yes or No
Does your practicum project involve analysis where you must identify independent and dependent variables?
no
If you answered “Yes” to the question above regarding independent/dependent variables,
state these below.
Independent Variable(s)
Dependent Variable(s)
Question 6
Answer Yes or No
Does your practicum project involve analysis using one or more statistical tests?
yes
If you have a practicum project that involves the use of statistical tests, you will need to be able to explain the statistical tests selected for your project and the strength of your final results based on these choices. There are many websites available to determine appropriate statistical tests (see a screenshot of one site at the end of this form).
If you answered “Yes” to the question above regarding using one or more statistical tests,
what tests are you using for which variables, and why?
Statistical Test
Justification
The binary logistic regression model parameters will be used with the Wald Chi-Square statistical test.
Wald test can be used to test the association between the independent variables (predictors) and the criterion variable (dependent) variable. A Wald test can be used in a great variety of different models including models for dichotomous variables and models for continuous variables and way to find out if explanatory variables in a model are significant.
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If you keep you our outcome variable i.e. Attendance variable as continuous variable then follow Khaled Almaz advice. but if you want to convert your contiuous outcome variables into categorical variable then you can perform chi-square test and logistic regression.
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If you are a police officer, teacher, nurse, occupational therapist, fire fighter, social worker, doctor, accountant, administrator, youth worker, childcare worker, auditor, paramedic, HR officer, procurement officer, solicitor or have any other role in the Welsh public service your help would be very much appreciated!
I’m a research student at the University of South Wales studying a doctorate in business administration. My area of interest is the relationship between self-awareness and leader effectiveness and how this changes across different job levels across the Welsh public service.
I'm looking for anyone who is employed in any of the Welsh public service organisations to help me with my study.  It would involve completing a quick questionnaire which would take a maximum of 15 minutes.  
Please drop me a line and I'll send you a link to the questionnaire
Thank you
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am not living in Kenya.thanks
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I am looking for leadership and managment potential in adults, when they are applying for an entry level childcare position. Help me find a leadership test that I can use screening potential employees.
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Check the following reference Please.. it might's assist you in your question …
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Are there any researches about preschool childcare in Latin America? Next year I plan to start a project about preschool childcare systems in different countries and their influence on the economic development. There are a lot of information about the Asian and European countries and few articles about Latin America.
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An interesting reference:
Early Childhood Education and Development in Latin America
R Mejía-Arauz, G Quiñones - International Handbook of Early Childhood …, 2018 - Springer
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Looking for recent research that supports multi-age groupings  in schools and opinions of recent theorists on the subject. 
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I've been reseaching multi-age groupings in creches (0-3) and pre-school (3-6) in Portugal through some case-studies. The evidence is that there is evidence for both the younger and the older children but it is important to put in place some pedagogic and organizational features. Do you read portuguese? I attach a Lilian Katz text that I still find interesting and other english papers.
Cheers,
Asunção
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Consider a situaltion: an adult child has her/his own chidlren needing childcare. This adult child regularly gets assistance from her/his parents in form of granparental childcare. Do you know any empirical studies about intra-familial payment for grandparental assistance (compensation, monetary reward for childcare)?
I have found some information, e.g. in Folk (1994) or in Wheelock and Jones (2002), but I am particulary interested in contemporary European statistics (especially, Germany).
I would be very thankful for your help!
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Hi Nataliya, now I understand.  These are provocative questions and now I have a frame of reference.
I will post here if I find any documents.  Thank you.  Jan Vinita White, PhD, Gerontologist. 
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I am developing a study on affectivity in childcare hospitalized unaccompanied. This study aims to explore and understand the determinants and specificities of affection in caring for hospitalized children unaccompanied. Currently, this aspect is of ulmost importance given the socio-economic context that Portuguese has deteriorated, and that has led to an increase of hospitalized children unaccompanied by people affectively significant. It is crucial to explore the human-affective relationship in nursing practice in pediatric settings.
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Plus this article to relate.
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Our research group is attempting to prioritize key observable behaviors taking place in childcare settings. Which child or adult behaviors are essential to the measurement of promotion of "healthful eating" during mealtime or outside of mealtime? Healthful eating would be not only obesity prevention, but general good health across multiple domains including physical, emotional, social, etc.
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I made my son (age 12 at the time) read nutrition journal articles, but we're a house full of geeks. On the rare occasions that we out, my kids ask the server for the restaurant's nutrition data!
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I am looking for an observation instrument applicable for children in the age of 2-4 years
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We developed the Play Observation Scale quite some time ago. This observational taxonomy assesses the child's frequency of exploratory behavior. You may access it on my lab web-site: http://www.rubin-lab.umd.edu/CodingSchemes/POS%20Coding%20Scheme%202001.pdf