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¶ … injuries that consequent from playing football.
Descriptive research design
A descriptive research design is conducted by observing the life of the group or individual without influencing it in any way.
The way I would conduct this design is a) statement of the problem, to wit: players experience injuries during training and competition. I would like to categorize and specify the specific injuries received. (b) Identification of information needed to solve the problem. -- In this case, I would need to observe one or more football teams that are training or involving themselves in competitive projects. (c) Identification of target population and decision of sampling procedure -- My target population will be a certain age of football players (as part of endeavor to ascertain that confounding variables are omitted). The age may likely be 18-22. I will select from ten or more college football teams. Sample will be convenience. (d) Design of procedure for information...
I will speak to coaches regarding description and incidence of accidents. I will conduct focus groups, and interview participants. More to the point of the methodology, I will closely observe the playing during training and competition myself for a certain prolonged period of time (perhaps two years) during periods when accidents are supposedly more apt to occur and record the characteristics of occurred accidents. (e) Collection of information will be gathered by observation, recording, and writing. (f) Analysis of information will be conducted by close assessment and, perhaps, by one or more objective assistants who will help observe / decode information / interviewed. (e) Generalizations will follow form the observation.
Explanatory research design
Descriptive seeks to explain what is going on. Explanatory asks: why is it going on. Here, focus will be shifted…
Source
Breakwell, G.M., Hammond, S., & Fife-Schaw, C. (2007). Research methods in psychology. Sage, USA
Predictive research design.
Descriptive Epidemiology: Future ConsiderationsTopic 1: Descriptive epidemiology offers clinicians a look at the bigger picture of how disease manifests because it creates a way of arranging and assessing data in order to �understand variations in disease frequency geographically and over time, and how disease (or health) varies among people based on a host of personal characteristics (person, place, and time)� (bu.edu). As a result of these methods, it provides clinicians
Introduction The business taken into account for the analysis is Google, Inc. The primary data being collected is on Google and on different mobile applications to evaluate the validity of whether the latter are becoming more significant and popular compared to Google. In this case, the independent variable is percentage of internet usage on Google for every period. Basically, the metric taken into consideration is the percentage of time spent on
statistics statistics and inferential statistics. Descriptive statistics and inferential statistics are used for different types of designs. For example, correlational studies will utilize descriptive statistics to measure a set of data's central tendency along with the way variables vary and relate to one another. A Pearson r would be a type of descriptive statistics test conducted to evaluate the strength of the relationship or if there relation goes in any
Epidemiology Descriptive Epidemiology Case Study The United States has a growing diabetic population, some have called it an epidemic, due to many factors that have become normalized for the country's citizens. People eat an increasingly poor diet, do not exercise as they should and have jobs that grow more sedentary with each passing year. It is difficult to name a single factor that is more damaging, but it would seem that people
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collects sample data from 2001 households across the United States to evaluate the attributes of the participants. The total number of 50 variables are used to identify the data attributes, however, three discrete variables and three continuous variables are selected to evaluate the relationships. The selected discrete variables are Number of Children, Number of cars and Mail Buyer. However, the selected continuous variables are Athletic Dimension, Length of residence,