B000286 - PSYCHOMETRY

italian

italian

Introductive Statistics for the Behavioral Sciences: research methods, data analysis, sampling and measurement theory. Graphical and numerical presentations for univariate and bivariate data. Introduction to probability theory and inferential statistics: probability distributions, sampling distributions, confidence intervals, hypothesis testing for bivariate data.

Introductive Statistics for the Behavioral Sciences: research methods, data analysis, sampling and measurement theory. Graphical and numerical presentations for univariate and bivariate data. Introduction to probability theory and inferential statistics: probability distributions, sampling distributions, confidence intervals, hypothesis testing for bivariate data.

Primi, C. & Chiesi, F. (2005). Introduzione alla Psicometria. Laterza, Bari.
Pedon, A & Gnisci, A. (2004). Metodologia della ricerca in psicologia. Il Mulino, Bologna (Cap. 2, 4, 5, 6).
Exercise books (optional):
Chiesi, F. & Primi, C. (2010). Applicazioni di Psicometria, Seid, Firenze.
Areni, A, Scalisi, T.G. & Bosco, A. (2005). Esercitazioni di Psicometria. Masson, Milano.

RECOMMENDED BOOKS:
Primi, C. & Chiesi, F. (2005). Introduzione alla Psicometria. Laterza, Bari.
Pedon, A & Gnisci, A. (2004). Metodologia della ricerca in psicologia. Il Mulino, Bologna (Cap. 2, 4, 5, 6).
Exercise books (optional):
Chiesi, F. & Primi, C. (2011). Applicazioni di Psicometria, Seid, Firenze.
Areni, A, Scalisi, T.G. & Bosco, A. (2005). Esercitazioni di Psicometria. Masson, Milano.

This course offers an introduction to measurement in Psychology: the concept of variable and levels of measurement are explained, the different way to gather data are presented, and how to prepare a matrix of data is illustrated.
Moreover, this course is designed to give students theoretical and practical knowledge of the descriptive statistics which allow them to construct frequency distribution, to measure and interpreter the measures of central tendency and variability, to standardize data, and to construct and to read graphs.
It's a further aim of the course to introduce students to the fundamental principles of probability theory, to probability distribution and sampling distributions. Students will also learn the logic of hypothesis testing and the confidence intervals.
Finally, it's our aim to ensure that students acquire the competence to report the results of descriptive and inferential statistic analyses.

The course offers an introduction to measurement in Psychology: the concept of variable and levels of measurement are explained, the different way to gather data are presented, and how to arrange a data matrix is illustrated.
Moreover, the course is designed to give students theoretical and practical knowledge of the descriptive statistics which allow them to construct frequency distribution, to take measures of central tendency and variability, to standardize data, to construct and read graphs.
It's a further aim of the course to introduce students to the basic principles of probability theory, to the mainly employed probability and sampling distributions. Then, starting from these prerequisites, hypothesis testing and confidence intervals are taught.
Finally, the course aims to ensure that students acquire the competence to report the results of descriptive and inferential statistic analyses.

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Psychological literature offers the framework to introduce statistic theoretical issues, that is statistics topics are presented through examples taken from different research area in psychology. Moreover, paper and pencil exercises (framed with psychological contents) are presented for each theoretical issues.

Psychological literature offers the framework to introduce statistic theoretical issues, that is statistics topics are presented through examples taken from different research area in psychology. Moreover, paper and pencil exercises (framed with psychological contents) are presented for each theoretical issues.

no one

none

It consists of a written task and an oral exam. In the written task is presented a matrix of data that students should use to solve some exercises, and some open-ended questions. Oral exam is allowed only for students who have passed the written exam.

It consists of a written task and an oral exam. In the written task is presented a matrix of data that students should use to solve some exercises, and some open-ended questions. Oral exam is allowed only for students who have passed the written exam.

Research and Measurement
Research in psychology and statistics in psychology research
Measurement and scale of measurement
The structure of an Experiment
Frequency Distributions
Frequencies, cumulative frequencies, relative frequencies and percentages
Frequency tables
Graphs of frequency distribution
Measures of Central Tendency
The Mean, the Median, and the Mode
Comparing the Mean, the Median and the Mode
Measures of Variability
Measures of variability based on deviations
Measures of relative Standing
Standard Scores
Quartiles, Deciles, Percentiles
Probability
Basic concepts in probability
Theoretical distribution
The binomial distribution
The normal distribution
Sampling Distribution
The distribution of sample mean
The distribution of differences between two sample means
The distribution of a mean difference
Statistical inference
The logic of Hypothesis Testing
Confidence Intervals
Parametric Tests for One sample
z-test for a sample mean
t-test for a sample mean
Parametric tests for two samples
t-test for a difference between means: A between-subjects test
t-test for a mean difference: A within-subjects test
Association: Contingency and Correlation
Using 2 to measure the association between categorical variables
A measure of the strength of a relationship between metric variables: Pearson's Product-Moment Correlation

• Research and Measurement
o Research in psychology and statistics in psychology research
o Measurement and scale of measurement
o The structure of an Experiment
• Frequency Distributions
o Frequencies, cumulative frequencies, relative frequencies and percentages
o Frequency tables
o Graphs of frequency distribution
• Measures of Central Tendency
o The Mean, the Median, and the Mode
o Comparing the Mean, the Median and the Mode
• Measures of Variability
o Measures of variability based on deviations
• Measures of relative Standing
o Standard Scores
o Quartiles, Deciles, Percentiles
• Probability
o Basic concepts in probability
• Theoretical distribution
o The binomial distribution
o The normal distribution
• Sampling Distribution
o The distribution of sample mean
o The distribution of differences between two sample means
o The distribution of a mean difference
• Statistical inference
o The Hypothesis Testing
o Confidence Intervals
• Parametric Tests for One sample
o z-test for a sample mean
o t-test for a sample mean
• Parametric tests for two samples
o t-test for a difference between means: A between-subjects test
o t-test for a mean difference: A within-subjects test
• Association: Contingency and Correlation
o Using 2 to measure the association between categorical variables
o A measure of the strength of a relationship between metric variables: Pearson's Product-Moment Correlation