Learning objectives
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Identify complex problems in the sphere of nursing and obstetric care and apply the practical procedure of research to them, including the collection, processing and checking of data using appropriate statistical means.
Prerequisites
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Course unit content
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19911 – Research methods (Unit 1) Credits: 1.5 – 12 hours <br />
Prof. William Cantarelli <br />
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19912 – Research Methods (Unit 2) Credits: 1.5 – 12 hours <br />
Prof. William Cantarelli <br />
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Educational goals: <br />
- Become proficient in the analysis of the evolution of the various levels of nursing research and research in nursing <br />
- Develop the capacity to identify the complex problems related to nursing and obstetric care, formulate hypotheses and aims on the basis of which to define the practical procedures related to nursing and obstetrics research <br />
- Develop the capacity to perform a critical analysis of international nursing/obstetrics literature with a view to defining the efficacy of the care provided. <br />
- Use investigative tools to study phenomena related to nursing and obstetric care in the various professional spheres in which they are practised <br />
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Course syllabus: <br />
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Nursing and obstetrics research fields <br />
The research process and ethical problems in nursing and obstetrics research <br />
Planning a research project <br />
Identification and definition of the problem <br />
The application of conceptual models and theories <br />
pratice-based evidence <br />
Formulation of the hypotheses and research questions <br />
Sample selection <br />
Measuring principles <br />
Data collection methods <br />
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19 913 – Statistics for Experimental and Technological Research <br />
21945 – Medical Statistics <br />
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Prof. Giuseppe Pedrazzi <br />
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Syllabus: : <br />
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Introduction: medical statistics and related disciplines. Logic and statistical planning. <br />
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Overview of combinatorial analysis: permutations, arrangements, combinations. Applications. <br />
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Overview of probability analysis : probability of simple and compound events, Bayes theorem. <br />
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Odds.Odds ratios. Likelihood ratios. Applications. <br />
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Probability distributions : binomial distribution, Poisson distribution, normal and standard normal distribution. Tables and their use. <br />
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How to summarise the data. Units of measure. Measurements of position, order and variation. Indices of central tendency, mean median, mode. Indices of variabilità, variance, standard deviation, CV. Percentile and their use. <br />
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General principles of statistical inference. Sampling distribution. Hypotheses and hypothesis tests. I and II type errors. Power of a test and operating curve. Parametric test : Student t-test, an overview of analysis of variance. Non-parametric test: Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Friedman test, median test, Chi-square test, Fisher’s exact test. <br />
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Linear regression and correlation. <br />
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Overview of multivariate statistics: Main components. Discriminant analysis. Cluster analysis <br />
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19764 – Computer Science and Statistics laboratory <br />
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Prof. Maurizio Agosti <br />
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With the ''Laboratory of Computer Science Applied to Statistics'' (LIAS) Students have the opportunity to consolidate and deepen that statistical knowledge which, in the professional scenario, will enable them to tackle and resolve both simple and complex problems. <br />
They will be provided with the most suitable and widely used computer tools for the creation and application of the most effective support algorithms, with particular emphasis on the use of Excel spreadsheets?. <br />
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The LIAS interactive activities will be mainly focused on the following 9 chapters: <br />
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LIAS - CHAPTER. 1 <br />
Purposes of statistical methods <br />
The sample <br />
Types of variables <br />
The frequency histogram and probability distribution <br />
Mean and Median <br />
Dispersion parameters <br />
Degrees of freedom <br />
Standard normal distribution <br />
Sources of variability and sampling <br />
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LIAS – CHAPTER 2 <br />
Variability of the means: standard error <br />
Hypotheses and statistical tests <br />
Student’s “t” test <br />
Distribution <br />
Independent and paired samples <br />
Confidence limits of the mean <br />
Size of sample <br />
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LIAS – CHAPTER 3 <br />
Analysis of variance <br />
Multiple comparisons <br />
Bonferroni criterion <br />
-Newman-Keuls test <br />
Analysis of variance applied to complex experimental designs <br />
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LIAS - CHAPTER 4 <br />
Regression <br />
Requirements of the dependent variable <br />
Slope and Intercept, estimate of parameters, standard errors and significance tests <br />
Analysis of variance applied to regression <br />
Confidence limits of a forecast <br />
Parallelism test <br />
Non linear relationships <br />
Correlation coefficient, standard error and significant test <br />
Determination coefficient <br />
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LIAS - CHAPTER 5 <br />
Chi-square <br />
Goodness-of-fit test <br />
Symmetry test <br />
2x2 table <br />
mxn table <br />
Continuity correction <br />
Fisher exact test <br />
McNemar’s test <br />
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LIAS – CHAPTER 6 <br />
Binominal distribution <br />
Standard deviation of a proportion <br />
Poisson distribution <br />
Assortments <br />
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LIAS – CHAPTER 7 <br />
Probability and likelihood <br />
Bayes theorem <br />
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LIAS – CHAPTER 8 <br />
Non-parametric statistics <br />
Kendall correlation <br />
Spearman correlation <br />
Mann-Whitney test <br />
Wilcoxon test <br />
Kruskal-Wallis test <br />
Friedman test <br />
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LIAS – CHAPTER 9 <br />
Multivariate statistics <br />
Relationships between subjects and relationships between variables <br />
Sun-ray-plot <br />
Draftsman plot <br />
Main components <br />
Discriminant analysis <br />
Group analysis <br />
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Full programme
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Bibliography
Lecture notes <br />
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Stanton A. Glantz Statistica per discipline Bio-mediche ed. McGraw-Hill <br />
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Sidney Siegel, N. John Castellan Jr. Statistica non parametrica ed. McGraw-Hill <br />
James A.Fain, La ricerca infermieristica: leggerla, comprenderla e applicarla, Milano,McGraw-Hill Companies, srl Publishing Group Italia, 2004, trad. it. di: Reading, Understanding, and Applying Research. A test and Workbook, 2ndedition (the first nine chapters) <br />
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Kenneth D.Bailey, Metodi della ricerca sociale,Bologna, ed. Il Mulino, 1985, trad. it. di Methods of Social Research, New York</st1:state>, The Free Press, 1982. Edizione italiana a cura di Maurizio Rossi. <br />
(The first five chapters)
Teaching methods
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Assessment methods and criteria
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Other information
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