Table 2 Research hypotheses and constructs they measure
From: An information theory approach to hypothesis testing in criminological research
Construct | Hypotheses |
|---|---|
Discretionary places | H1. Street robberies in Milwaukee are likely to be clustered around drinking places (DP), liquor stores (LS) and places of amusement/recreation (AR) H2. Commercial robberies in Milwaukee are likely to be clustered around drinking places (DP), liquor stores (LS) and places of amusement/recreation (AR) |
Ordinary places | H3. Street robberies in Milwaukee are likely to be clustered around drug stores (DS), grocery stores (GS) and service stations (SS) H4. Commercial robberies in Milwaukee are likely to be clustered around drug stores (DS), grocery stores (GS) and service stations (SS) |
Age-crime curve | H5. Street robberies in Milwaukee are likely to be clustered in census tracts with higher percent of the population between ages 18–21 and ages 22–29 H6. Commercial robberies in Milwaukee are likely to be clustered in census tracts with higher percent of the population between ages 18–21 and ages 22–29 |
Social disadvantage | H7. Street robberies in Milwaukee are likely to be clustered in census tracts with higher percent of the population below poverty and renter occupied H8. Commercial robberies in Milwaukee are likely to be clustered in census tracts with higher percent of the population below poverty and renter occupied |