Height and Basketball players

Find a journal article about height and basketball players and follow the next 12 questions.Fundamentals1.Describe the main reason for the study.Normally thetopic sentence
2.What type of study is it? (pick one)a. Experiment(assignedtreatments)b. Observational(observed, notreatments)
3.Identify the Explanatory and Response Variablesa.Label each as quantitative (numerical) orqualitative (categorical)numerical= a number (anything that can have decimals or it makes sense to take anaverage of)categorical= groups (groupings that do not have an order to them (colors, majors, etc…))Explanatory:Treatments orthe thing they think is responsible for the changeResponse:What is being measured inthe studySubjects4.Describe the population (who can the results beextended out to?)Lookfor inclusion and exclusion criteria.5.What type of sampling was used?Alot of volunteer sampling occurs, especially with medical studies. Occasionallythere is more than one scheme in a study.6.Are there any potential sources of bias in thesample?Thinkabout groups that were excluded either accidentally or on purpose. Hint:Volunteer samples are ALWAYS biased.Data Collection7.Was the study prospective or retrospective?Prospective =future – got the participants and then measured the data (record what you’lleat for breakfast tomorrow)Retrospective= past – data point already occurred then put the participant in the study(what did you eat for breakfast yesterday)
8.Were the subjects randomized to treatments? Ifso, how?Onlyapplies if it is an experiment. Look for key words like blocks or simple randomsample9.What results are presented? (only list a few foreach category)a.Descriptive StatisticsSummaries of the dataincluding: means, medians, standard deviations, ranges, proportionsb.Inferential StatisticsHypothesistests, “p-value”, confidence intervals, chi-square, z-test, proportion test,ANOVA.
10.Are there any Confounding or lurking variablesthat could impact the results?Confounding =measured in the study. Different level for treatment groups, impacts resultsLurkingvariable = not measured in the study. Different level for treatment groups,impacts results.Favoriteexample is socioeconomic status. Impacts where you live, what resources youhave available, and general lifestyle.
11.What were the final conclusions?
Based on the explanatoryand response variables, what are the findings? Did it works, under whichconditions?Reflection12.What aspects of the study could be improved orincluded for next time?Opinionquestion. Often discussed by the author in the limitations section of thepaper.
Cannot be any of the following journals:Effect of scaling basket height for young basketball players during the competition: seeking out positive sport experiences.Body height of elite basketball players: Do taller basketball teams rank better at the FIBA World Cup?The influence of basic body and hand anthropometry on the results of different throwing tests in young handball and basketball playersSport for tallBr Med J (Clin Res Ed) 1983 Khosla, T. (1983, September 10). Sport for tall. The BMJ. Retrieved November 29, 2021, from https://www.bmj.com/content/287/6394/736.short.