The relationship between day care and primary caregiving parents working during early childhood is difficult to determine and highly contentious, bundled in as it obviously is with social issues and political battles. Harvey's study is an admirable attempt at shedding some light on these issues, but as is often the case in social sciences, confounding variables make it extremely difficult to tell how valid the study's conclusions are and how generalizable the data might be…
The study found minimal, though barely statistically significant, influences, but these factors were paradoxical: Working more hours was associated with some cognitive development and academic scores before 9 and 7, respectively, but failed to have an effect afterwards and did not have any effect on behavior problems, compliance or self-esteem. The study also included that early parent employment was beneficial for single mothers or lower-income families due to raised income. Though not strictly a confounding variable, it is important to note that the study assumes the factual world where these women were employed. While the study compares to similar mothers who aren't employed, the assumption is problematic. Might employment have been the best possible option for these mothers? It is wholly possible that, in a counter-factual world where these particular women weren't working, their children's outcomes would have been the same or worse. One possible confounding variable might be aging and the school system. It's likely that the fact that negative effects stopped after age 9 has to do not with working or not working but with increased independence at that age in the first place. ...
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(“Correlational Methods (M5C) Essay Example | Topics and Well Written Essays - 500 words”, n.d.)
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(Correlational Methods (M5C) Essay Example | Topics and Well Written Essays - 500 Words)
“Correlational Methods (M5C) Essay Example | Topics and Well Written Essays - 500 Words”, n.d. https://studentshare.net/other/17031-correlational-methods.
Elizabeth Harvey's analysis of correlation between early-childhood parental employment and health indices finds complex results, but the difficulty is that there are many confounding variables that may explain her correlations. Harvey finds that, in general, the benefit of income tends to exceed the cost of parents being out of the home, and that in most categories children are not affected by early employment, with the exception of academic and cognitive development scores before ages 7 and 9.
Aside from setting the parameter of including only those who either presently or formerly held a firefighter status, it was not clear how the sampling of subjects was done. Four different assessment tools were used to measure the personality and job satisfaction: Cattell’s 16 PF, the Job Descriptive Index, the Balanced Inventory of Desirable Responding, and the Positive and Negative Affectivity Scale.
A 4-page questionnaire, consisted of four parts, was administered on a sample, selected by block randomization technique, from businesses and civic organizations in Maryland's Wicomico and Worcester Counties and undergraduate classes in management at Salisbury State University.
The paper tells that a strong linear correlation between variables does not equate to causality. To maintain relevance, correlation coefficients should only be utilized on two quantitative variables. As the correlation between two variables approach non-linearity, the correlation coefficient becomes smaller and the sign changes from positive to negative until it reaches zero.
hree probable results that come out of the correlation research methodology and they are: Positive Correlation, Negative Correlation and No Correlation. The measurement for the strength of the correlation is correlation coefficient and it can range from -1.00 to +1.00.
isions that would benefit their new-born children and follow instructions for the child’s care and treatment had any relationship with the probability that the mother would enroll her child in programs for healthcare that they were eligible for. They found that there did seem
study is to look at the relationship between the regularity of family meals, as well as BMI among female and male adolescents, while controlling for likely confounding causes related to BMI, for instance snack-food eating, adolescents age, and parental education. The research