Vertaile menetelmiä

	Pitkittäistutkimus ihmissuhteista	Pitkittäistutkimus	Suhteellisuuskysely
Tieteenala	Tutkimusasetelma	Tutkimusasetelma	Tutkimusasetelma
Menetelmäperhe	Process / pipeline	Process / pipeline	Process / pipeline
Syntyvuosi	1960s–1980s (formalized in panel and longitudinal survey literature)	Late 19th–early 20th century; methodologically codified through the 20th century	Mid-20th century onward (systematised ~1960s–1990s)
Kehittäjä	Classical survey methodology (Campbell & Stanley, 1963; Kessler & Greenberg, 1981)	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett	Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others
Tyyppi	Non-experimental quantitative design	Quantitative (or mixed) observational research design	Quantitative non-experimental survey design
Alkuperäislähde	Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. ISBN: 978-0195152968	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841	Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0073525748
Rinnakkaisnimet	longitudinal correlational survey, prospective relational survey, repeated-measures relational survey, panel relational survey	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study	correlational survey, associational survey, relationship survey design, relational descriptive survey
Liittyvät	3	4	4
Tiivistelmä	A longitudinal relational survey follows the same sample at two or more time points, collecting structured questionnaire data each wave and examining how the relationships among variables change, strengthen, weaken, or emerge across time. Unlike a cross-sectional relational survey that offers a single snapshot, this design captures temporal dynamics and allows researchers to test whether earlier measurements predict later outcomes, making it valuable for studying development, attitude change, and causal ordering.	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.	Relational survey research is a quantitative, non-experimental design that gathers structured self-report data from a sample and examines the statistical associations among two or more variables. Unlike purely descriptive surveys, which only characterise distributions, relational surveys ask whether and how strongly variables co-vary — providing evidence of relationships without manipulating conditions or establishing causation.