قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| البحث التفسيري× | اختبار الفرضيات البحثية× | |
|---|---|---|
| المجال | تصميم البحث | تصميم البحث |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1960s–1980s (codified in behavioral and social science methodology) | Early 20th century (Fisher 1925; Neyman–Pearson 1933) |
| صاحب الطريقة≠ | Formalized by Earl Babbie and Fred Kerlinger among others | Karl Pearson, Ronald A. Fisher, Jerzy Neyman, Egon Pearson |
| النوع≠ | Non-experimental quantitative research design | Quantitative confirmatory research design |
| المصدر التأسيسي≠ | 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 |
| الأسماء البديلة | analytical research, causal research, explanatory study, explanatory quantitative research | hypothetico-deductive research, confirmatory quantitative research, null hypothesis significance testing, NHST design |
| ذات صلة≠ | 5 | 4 |
| الملخص≠ | 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. |
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