Examination of Variables Related to NCLEXRN Janis A

Examination of Variables Related to NCLEX-RN Janis A. Franich, RN, BSN, CIC

Project • May 2008 ADN graduates • Identify predictors of students at risk for failure of NCLEX-RN • Develop an instrument to identify these students 2

Project Background • Scholarly project for MSN at Ferris State 3

Literature Search • Previous studies • Variables examined • Risk Appraisal Instrument 4

Student Variables Examined • Twenty-six variables • Demographics • Academic Performance • Standardized Test Results 5

Demographics • Age • Gender • Race Standardized Tests • NET • HESI 6

Academic Performance • • • Overall GPA Nursing GPA Number of C’s or lower in nursing courses Number of times readmitted Grades in all nursing program courses Grades in Biology 151 & 152 7

Statistical Analysis • SPSS • Statistician from U of M 8

Results • • 51 graduates tested – 6 failed 46 females – 5 males 44 White – 6 Black – 1 Hispanic 15 Transition Average Age – 33: Range 20 – 51 Ave. nursing GPA - 3. 23: Range 1. 81 -4. 0 Ave. first HESI score – 828: Range 6491064 9

Weak Correlation to NCLEX-RN 10

HESI • Valid & reliable • Analyzed correlations 11

Moderate Correlation to HESI 12

Moderate Correlation to HESI 13

Moderate Correlation to HESI 14

Weak Correlation to HESI 15

Weak Correlation to HESI 16

Race Variable • Small sample size • Interesting trends 17

Race Variable 18

Race Variable 19

Race Variable 20

200 Level Classes • Larger sample size • Evaluation of differences 21

2 nd Year Classes 22

2 nd Year Classes 23

2 nd Year Classes 24

Variables with no or one relationship • Gender – no correlations • NET reading – correlated to BIOL-151 • Transition/Advance standing – no correlations • Last HESI – correlated to NURS-205 25

Limitations • Sample size • Race & Gender • First year classes • NET test results • Students who failed 26

Recommendations • • • Data reveals trends Data insufficient to provide evidence Risk Appraisal Instrument Continue to collect & analyze data Additional data may reveal more trends Additional data may provide evidence upon which to base directions for change 27

THANK YOU 28