Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Investigación cuantitativa exploratoria× | Investigación por Encuestas× | |
|---|---|---|
| Campo | Diseño de investigación | Diseño de investigación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | Mid-20th century (codified in social research methods texts c. 1950s–1970s) | Late 19th century; methodologically systematised 1940s–1960s |
| Autor original≠ | Earl Babbie; John Creswell (systematic codification in social science methods) | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Tipo≠ | Non-experimental quantitative research design | Quantitative (and mixed) non-experimental design |
| Fuente seminal≠ | Babbie, E. (2021). The Practice of Social Research (15th ed.). Cengage Learning. ISBN: 978-0357360767 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Alias | quantitative exploratory design, exploratory survey research, initial quantitative investigation, preliminary quantitative study | survey methodology, questionnaire research, survey design, survey study |
| Relacionados | 4 | 4 |
| Resumen≠ | Exploratory quantitative research is a non-experimental design used when a phenomenon is insufficiently understood to support formal hypothesis testing. The researcher collects numerical data — typically through surveys, structured observation, or existing records — to describe distributions, detect patterns, and generate hypotheses that more targeted confirmatory studies can subsequently test. It occupies the first stage of a cumulative quantitative research programme. | 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. |
| ScholarGateConjunto de datos ↗ |
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