Secondary school mathematics and entrance into the STEM professions: a longitudinal study

International Journal of STEM Education

Table 1 Distribution by the predictor variables

			N	%	Total
Demographic characteristics	Gender	Male	238,797	44.7%	534,587
	Gender	Female	295,790	55.3%	534,587
	Ethnicity	Jewish	431,908	82.7%	522,160
	Ethnicity	Arabic	90,252	17.3%	522,160
Secondary school	Mathematics level	Elementary	251,569	52.1%	482,606
		Standard	137,060	28.4%
		Advanced	93,977	19.5%
	Mathematics success	Excellent	104,061	26.3%	396,233
		Good	97,627	24.6%
		Intermediate	135,842	34.3%
		Low/fail	58,703	14.8%
	Major field of study	STEM	257,051	48.1%	534,590
	Major field of study	non-STEM	277,539	51.9%	534,590
	STEM major success	Excellent	43,284	20.0%	215,931
		Good	66,717	30.9%
		Intermediate	88,577	41.0%
		Low/fail	17,353	8.0%
First year in higher education	Field of study	STEM	92,245	29.9%	308,005
First year in higher education	Field of study	non-STEM	215,760	70.1%	308,005
Bachelor's degree	Field of study	STEM	68,995	28.1%	245,113
Bachelor's degree	Field of study	non-STEM	176,118	71.9%	245,113

The total N is not similar in relation to all predictor variables, since a) as some variables explored have missing data, percentages were calculated based on valid data, b) for the variables relating to higher education, data are based on two base populations, each reflects different sample size (see elaboration on the participants section)