“…When used in conjunction with district and program variables, other researchers have discovered wide‐ranging influence from political variables in their regression models. Through their efforts, scholars have analyzed the total amount of funds received (Anagnoson, 1980; Carsey & Rundquist, 1999; Copeland & Meier, 1984; Ray, 1980b; Ritt, 1976; Strom, 1975), examined the amount of funds received from different agencies (Gist & Hill, 1984; Ritt, 1976; Ray, 1980a; Rich, 1989) and within different categories of programs (Bickers & Stein, 2000; Copeland & Meier, 1984; Johnston, 1978), studied the size of the cities (Dye & Hurley, 1978; Friedland & Wong, 1983; Gist & Hill, 1984; Rich, 1989; Saltzstein, 1977), and counted the number of projects awarded (Gist & Hill, 1984; Hooton, 2001). In the end, the influence of political variables, e.g., committee assignment and majority party status, may be advantageous when pursuing federal money.…”