قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| بحث الاتجاه× | بحث طولي× | |
|---|---|---|
| المجال | تصميم البحث | تصميم البحث |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | Mid-20th century (formalised in social science methodology ~1950s–1960s) | Late 19th–early 20th century; methodologically codified through the 20th century |
| صاحب الطريقة≠ | Earl Babbie and survey research tradition | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| النوع≠ | Quantitative longitudinal research design | Quantitative (or mixed) observational research design |
| المصدر التأسيسي≠ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| الأسماء البديلة | trend study, trend survey, longitudinal trend study, time-series survey | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| ذات صلة | 4 | 4 |
| الملخص≠ | Trend research is a longitudinal quantitative design that tracks changes in a characteristic of a general population over time by surveying different, independently drawn samples at two or more time points. Unlike panel studies, the same individuals are not followed; rather, each wave draws a fresh sample from the same population, allowing researchers to detect population-level shifts in attitudes, behaviours, or conditions while avoiding the attrition and panel conditioning problems of repeated-measures designs. | Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time. |
| ScholarGateمجموعة البيانات ↗ |
|
|