Prior to last semester, we were focusing on parent involvement and the ideology behind this concept is to see how involved a parent would contribute in their child’s life. The research and method of this study clearly state how children learn how to interact within the social norms of society by just simply understanding cognitive, social, and self-awareness. A child usually observes from the household in which they start off by being around their family or guardianship for the majority of their entire life. There is a reasonable explanation that poverty could be a major aspect of why parents for the most part show less affection towards their children which can easily determine the mutual relationship for both to have some issues. The reader should be able to understand the concept of how statistics will focus more on the numerical data of the result from the five family fun activities which were
After spending a lot of time last semester focusing more on the methods and research behind the hypothesis of parent involvement. The small portion of the data consists of only 11 participants who exactly contribute to this fun activity project. This made the data more difficult to analyze because of the small data size so in order to pursue a more convenient data had to duplicate it. The key concept from this study on parent involvement should elaborate on how a parent who values more time with their child would lead to positive outcomes such as socializing with peers, self-awareness and building up cognitive skills. The whole purpose is to determine rather or not children face certain life choices at an early stage basic on their social interaction from home which can contribute to fitting into society.
This family fun activity codebook had a variety of different activities that are filled with a questionnaire that deals with parent involvement. There is a mixture of dependent and independent variables throughout the entire codebook. The codebook will have three levels of measurement which are nominal, ordinal, and interval/ratio. A nominal scale is simply a naming scale where the variable is simply named or labeled with no specific order such as “do you like to read?” yes or no. An ordinal scale has all its variables in a specific order beyond just naming them such as “how often do you go outside?” never, sometimes, often, daily. Then interval scale offers labels, orders, as well as the specific intervals between variable options and ratios, dwelling on all of the characteristics of a numerical scale question such as ” on a scale of 0-10 how are you feeling today?”
This semester in my statistics class we used RStudio and Spss to help interpret most of our data from the family fun activity responses from the participants. RStudio is a free source used as a programming language for statistical computing and graphics. The way RStudio work is simply to import data, then transform data like codes or equations, basic statistics, and plotting data distribution. Chapter 3 for my statistics class is the measure of central tendency which deals with the calculation for finding the mean, median, and mode to analyze data. In statistics how to find the mode is usually the number that shows up the most. For example 20, 21, 30, 20, 22, 20 , 21, 20 the answers will be 20. The mode is the only measure of central tendency appropriate for nominal-level variables. The median is used to determine from a numerical group of data which number is in the middle. For example 3,4,6,8,12,15,17 in the number in the middle would be 8. This distribution is appropriate for ordinal or interval level data. The mean is the average of all the numbers in a set of data by adding them all up and dividing by how many numbers there are. For example 15+12+13+11=51/4=12.75. The center of gravity of distribution is appropriate for interval/level data. Spss is statistical software that is used to interpret data management, advanced analytics, and other types of programming.