Магистратура
2021/2022
Введение в статистику и математику
Статус:
Курс адаптационный (Население и развитие / Population and development)
Направление:
38.04.04. Государственное и муниципальное управление
Кто читает:
Кафедра демографии
Где читается:
Факультет социальных наук
Когда читается:
1-й курс, 1 модуль
Формат изучения:
с онлайн-курсом
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Козлов Владимир Александрович
Прогр. обучения:
Население и развитие
Язык:
английский
Кредиты:
3
Контактные часы:
2
Course Syllabus
Abstract
This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles.