השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח שונות חד-כיווני× | מודל משוואות מבניות (SEM)× | |
|---|---|---|
| תחום | סטטיסטיקה | סטטיסטיקה |
| משפחה≠ | Hypothesis test | Latent structure |
| שנת המקור≠ | 1925 | 1970 |
| הוגה השיטה≠ | Ronald A. Fisher | Karl Jöreskog (LISREL framework, 1970s) |
| סוג≠ | Parametric mean comparison | Latent variable / causal modeling |
| מקור מכונן≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ | Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540 |
| כינויים | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA | Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling |
| קשורות≠ | 4 | 5 |
| תקציר≠ | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. | Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences. |
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