Сравнение методов

	Объяснительное исследование	Исследование с проверкой гипотез
Область	Дизайн исследования	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	1960s–1980s (codified in behavioral and social science methodology)	Early 20th century (Fisher 1925; Neyman–Pearson 1933)
Автор метода	Formalized by Earl Babbie and Fred Kerlinger among others	Karl Pearson, Ronald A. Fisher, Jerzy Neyman, Egon Pearson
Тип	Non-experimental quantitative research design	Quantitative confirmatory research design
Основополагающий источник	Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417559	Kerlinger, F. N., & Lee, H. B. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417603
Другие названия	analytical research, causal research, explanatory study, explanatory quantitative research	hypothetico-deductive research, confirmatory quantitative research, null hypothesis significance testing, NHST design
Связанные	5	4
Сводка	Explanatory research is a non-experimental quantitative research design that goes beyond describing a phenomenon to identifying why it occurs — examining the relationships or mechanisms that account for observed patterns. Rooted in positivist social science methodology, it uses theory-driven hypotheses and statistical analysis to test whether specific variables explain variation in an outcome, without necessarily manipulating those variables.	Hypothesis testing research is a quantitative design in which the investigator derives one or more explicit, falsifiable propositions from theory, translates them into a null hypothesis (H0) and an alternative hypothesis (H1), collects empirical data, and then applies an inferential statistical test to decide whether the evidence is sufficient to reject H0. The approach is the dominant paradigm for confirmatory science across the social, behavioral, health, and natural sciences.