K Knowledge HF-D7.2-002 cross-sector 11 umiejętności
Basic statistical interpretation
Knows and interprets basic statistical concepts such as spread, correlation, confidence interval and significance and states what an outcome does and does not show.
W jaki sposób serwis hrmforce to mierzy
- Metoda oceny
- Knowledge test · rho 0.40 (SD 0.13)
- hrmforce narzędzie
- Ability Scan, Knowledge test (client-specific)
- Kompetencje (50-ramowe)
- Judgment
- Możliwość szkolenia
- high
- Prognoza popytu na lata 2026–2030
- rising
Test of declarative job knowledge, usually assembled per client.
Kotwice behawioralne
| Poziom | Zachowanie na tym poziomie |
|---|---|
| N1 Guided | Reads mean, spread and counts correctly from a table and checks what a percentage exactly represents. works under supervision and follows instruction · routine, one variable at a time · own task |
| N3 Proficient | Interprets correlations, confidence intervals and significance in a report and points out where cause and effect are not established. sets own approach and seeks input proactively · several variables, some ambiguity · own team or process |
| N5 Leading | Reviews the statistical basis of organisation wide decisions and trains others in the correct interpretation of results. sets the standard and the policy · strategic, under high uncertainty · organisation, value chain or profession |
N2 i N4 celowo nie zostały przypisane do konkretnych punktów odniesienia. Oceniający umieszczają je pomiędzy punktami odniesienia, zgodnie z konwencją O*NET.
Podstawowe umiejętności
Umiejętności te dziedziczą ścieżkę oceny oraz punkty odniesienia behawioralne tej konstrukcji.
| T | Umiejętności | Definicja | Prognoza popytu na lata 2026–2030 |
|---|---|---|---|
| K | Interpreting correlation Correlation | Explains what strength and direction of an association mean and why association does not prove causation. | rising |
| K | Explaining confidence intervals Confidence interval | Explains which uncertainty an interval around an estimate expresses and what its width says about the sample. | rising |
| K | Understanding significance and p values p value · Statistical significance | Explains what a p value does and does not say and why significant is not the same as important. | rising |
| K | Assessing effect size Effect size | Assesses how large a found difference is in practice using measures such as Cohens d and explained variance. | rising |
| K | Interpreting measures of spread Standard deviation · Variance | Reads standard deviation, variance and range and states what the spread says about the group. | stable |
| K | Choosing mean or median Central tendency | Chooses between mean, median and mode based on distribution and outliers and justifies that choice. | stable |
| K | Distinguishing levels of measurement Levels of measurement | Distinguishes nominal, ordinal and interval data and chooses matching operations and charts accordingly. | stable |
| K | Recognising distributions Distributions | Recognises normal, skewed and bimodal distributions in a histogram and states consequences for the analysis choice. | stable |
| K | Distinguishing sample and population Sampling | Explains how a sample is drawn and when outcomes do or do not generalise to the population. | stable |
| K | Separating causation from association Causal inference | Names confounders, selection effects and reverse causation as explanations alongside an observed relationship. | rising |
| K | Reading percentages and index figures Percentages | Works with percentage change, percentage points and index figures and avoids common calculation and interpretation errors. | stable |