Weaknesses Of Using Secondary Analysis

The first variable considered is Location, a categorical variable. The three subcategories are Urban, Suburban and Rural. The frequency distribution and pie chart are included. Measures of central tendency and descriptive statistics are not calculated due to the categorical nature of the variable.

1. For the following scores, find the mean, median, and the mode. Which would be the most appropriate measure for this data set?

1. For the following scores, find the mean, median, and the mode. Which would be the most appropriate measure for this data set?

A group of 300 people were surveyed. Their marital status was recorded along with answers to several questions. One question asked was whether “Friends and social life” or “Job or primary activity” contributes most to their general well-being. The results from this question appear in the table below.

1. The table below presents data for a sample of people who completed a religious survey.

A frequency distribution table is used for arranging data values and counting the number of time each value appears in a dataset. They can be used for both qualitative and quantitative variables. For this data pool I decided to use the subjects’ marital status because it is a qualitative, nominal level variable. (Polit, 23)

The quantitative subjective data is collated and organised into forms of a line graph, table values, and the calculation of mean and median data to determine if there’s any form of deviation of data. This will prove if there’s a linear or non-linear relationship between the data and test if there’s any similarities between the data values and/or the overall skew of the graphs. The outliers will be also added onto these graphs and will be compared towards each other recognising if there is a similarity or contrast in data and in relationships between both of the data. This will determine if the hypothesis of “family size has an

5. Using IBM® SPSS® software, conduct a frequency analysis on the gender and marital status variables. From the output, identify the following:

Secondary data using existing data, as related to new data that is being gathered or have been recently gathered. Information already exist on the topics that are being studied. In quantitative approaches, it is this knowledge that assists one with finding the hypothesis to be examined in the new research. It opens the door for the researcher to further explore and generate new questions for the study. This also allows the researcher to find gaps in the research process. Secondary data sources can be acquired via the

The information gathered helps provide updates and changing patterns, needs of health, it helps to identify the changing communication trends and practices in the health community (HINTS). The respondents are 18 and over. HINTS in 2007-2008 had 7,700 respondents; the respondents were chosen from a cross-sectional, stratified random sampling (HINTS 2007). HINTS accomplished this by two methods of random sampling, one sample was obtained using Address Based Sampling (ABS) through the mail, and the other method that was used was from Random Digital Dialing (RDD) and telephone interviews (HINTS2007). I will compare three variables from the HINTS dataset; gender, age of respondents, and marital status. Gender is being used as an independent nominal variable. Gender is being evaluated with the GENERN variable, the respondents were asked, “Are you male or female?” the values being used were 1.00 for males and 2.00 for females. Age is also being looked at, the AGEGRPA is the variable that took the respondents age groups and recoded them into four levels. Marriage status is being used as a dependent nominal variable, marriage status is what I am most interested, the other variables are being used to explain why the respondents their marital status. The marital variable in the HINTS data set is HD06MARTITALSTATU, the respondents were asked, “What is your marital status? Would you say...married, living as married, divorced, widowed, separated, or single, never been

Growing up, I had never heard of foster care. I did not know anyone who had been in foster care and I only knew of one person in high school who lived in a home with abusive parents. I was friends with a handful of people who had been adopted, but was ignorant to the fact that their adoption potentially impacted them on a daily basis and in every area of their life. The first time I had a real glimpse into the world of abused and neglected children was in 2005 when I was a senior in high school and took a trip with my church to Peru. I visited an orphanage and spent several days playing with the children who lived there. I did not know it at the time, but that experience sparked my journey into the field of social work. I attended Hope College, a liberal arts Christian college in Western Michigan. I knew that I wanted to go into a helping profession and declared social work as my major my Sophomore year. I chose social work over other degrees such as sociology or education because I knew that I wanted to work directly with children and families to help them change and improve their lives. I studied hard and was fortunate enough to be offered a full time internship at Casa Central in Chicago, IL. Casa Central was a private child welfare agency working primarily with Spanish-speaking clients. My world view broadened as I came

The strategy of secondary analysis was chosen for this research because it is cheap and timely in comparison to other forms of research. Using data collected by other reliable sources increases the validity of secondary data analysis research.

Edgar Allan Poe is a master at creating suspenseful horror stories that keep the audience entertained. Like any other stories, his include a conflict and a resolution, but his ability to take the reader on a journey with him through his literature and make us feel a certain mood makes him a unique writer with his own style. “The Tell Tale Heart” and “The Cask of Amontillado”, short stories by Poe, have similar ways of creating the mood which leads us to feel the way we do throughout the story. The use of the first person narrator perspective, the different settings within each story, and the time it takes to reach the climax are major factors that contribute to the mood.

In reviewing Supply Chain Integration, the first article “Arcs of supply chain integration” by P. Childerhouse and D.R. Towill (2011), introduces the five alternative arcs of supply chain integration adapted from the original source by Frohlich and Westbrook (2001). Following the introduction, a classification of the arcs is presented as ordered with the least integrated being inward facing and the most integrated described as outward facing. Childerhouse and Towill further analyzes Frohlich and Westbrook 's theory with the application of “statistical testing using site based data output over [an] 8-year supply chain study integration” (2011, p. 7442). Through this application it would aim to achieve the following objectives: (1) Verify the link between breadth of supply chain integration and supply chain performance, (2) assess the uptake of supply chain integration in practice, and (3) investigate whether some integration states are more common than others (Childerhouse and Towill, 2011). In addition, Childerhouse and Towill would further test all results against Frohlich and Westbrook 's original concept, of the ‘arcs of integration’ as a benchmark to their research.

They can also measure this through sending out a survey to customers who did not accept the organizations quote. Survey questions can include reasons for the quote being rejected, such as cost, quote turnaround time, and delivery lead time. One of the major advantages of primary data is that it can be “more specific to the problem being studied” (Kerin, R.A., Hartley, S.W., Berkowitz, E.N., and Rudelius, W., 2006) and one of the main disadvantages is the cost associated and time associated with collection. So what is the difference between primary and secondary research?