השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מחקר תיאורי חתך× | מחקר תיאורי× | מחקר אורך× | מחקר סקר× | |
|---|---|---|---|---|
| תחום | תכנון מחקר | תכנון מחקר | תכנון מחקר | תכנון מחקר |
| משפחה | Process / pipeline | Process / pipeline | Process / pipeline | Process / pipeline |
| שנת המקור≠ | Mid-20th century (1950s–1970s, widespread codification) | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s | Late 19th–early 20th century; methodologically codified through the 20th century | Late 19th century; methodologically systematised 1940s–1960s |
| הוגה השיטה≠ | Rooted in survey methodology traditions; formalized in epidemiology and social science research design texts of the mid-20th century | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| סוג≠ | Quantitative observational research design | Non-experimental quantitative research design | Quantitative (or mixed) observational research design | Quantitative (and mixed) non-experimental design |
| מקור מכונן≠ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | 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 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| כינויים | cross-sectional survey, descriptive cross-sectional study, prevalence study, one-shot descriptive survey | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study | survey methodology, questionnaire research, survey design, survey study |
| קשורות≠ | 3 | 3 | 4 | 4 |
| תקציר≠ | Cross-sectional descriptive research collects data from a population or sample at a single point in time to portray the current distribution of characteristics, attitudes, behaviors, or conditions. It answers 'what is happening now?' questions without manipulating variables or following participants over time. Widely used in epidemiology, education, psychology, and the social sciences, it is the foundation for prevalence estimates, needs assessments, and baseline profiling. | Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences. | 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. | Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences. |
| ScholarGateמערך נתונים ↗ |
|
|
|
|