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# Question: After reading the article “HESI Exams An Overview of Reliability and Validity”, discuss the psychometrics of the instrument and determine......

12 Feb 2024,4:03 PM

1. Reading Assignment (20 points): Read Chapter 11 ,“Tests for Comparing Group Means: Part I” in the Textbook Statistics for Evidence-based Practice in Nursing  (2017).  Also complete the lesson plan by reading the articles and watching the videos.

1.  After reading the article “HESI Exams An Overview of Reliability and Validity”, discuss the psychometrics of the instrument and determine if it is a good choice as a reliable and valid predictor tool for a medical surgical course.

To test the reliability of the HESI Exam before administration, a Kuder Richardson Formula 20 was used. This formula can only be applied to dichotomously scored data, meaning the response to an item or task is always scored as either correct or incorrect. Test for validity is an ongoing process. Content validity refers to the test items' effectiveness in measuring students' basic nursing knowledge and skills.

1. After reading the article “An integrative review of the use and outcomes of HESI testing in baccalaureate nursing programs answer the following questions:
1. Summarize predictor variables as identified by various authors in the integrative review as being beneficial to BSN students.
2.  After reading the article do you think that remediation would be beneficial in improving HESI scores in Dr. Koestler’s medical-surgical class?
3. Write a null hypothesis and directional hypothesis, in there proper formats,  to test your assumption prior to analyzing the data.

1.  SPSS Assignment (80 points)
1. Perform a descriptive analysis of the sample.

Descriptives

 Descriptive Statistics N Minimum Maximum Mean Std. Deviation Version 1 HESI 35 58.22 99.42 79.1243 10.83923 At Least 75% of HESI Packet Completed 33 .00 1.00 .3636 .48850 Version 2 HESI 35 55.43 94.12 78.4066 11.06854 Gender 35 1.00 2.00 1.9143 .28403 Valid N (listwise) 33

1. Perform an dependent t-test in SPSS and test the null hypothesis that you wrote prior to analysis of the data.  Specifically investigate whether completing the remediation improved the Final Exam HESI Scores in the medical surgical class.

The mean for remediation completion was .36 and the standard deviation was .49. After completing the remediation, the mean for the final exam hesi score was 78.0 with a standard deviation of 11.2.

1. Report the “t” value and degrees of freedom

T value is -40.764 and df is 32.

1. Write your findings in APA format

1. Include a cut & paste of the output in this assignment

T-Test

 Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 At Least 75% of HESI Packet Completed .3636 33 .48850 .08504 Version 2 HESI 78.0088 33 11.15226 1.94136

 Paired Samples Correlations N Correlation Significance One-Sided p Two-Sided p Pair 1 At Least 75% of HESI Packet Completed & Version 2 HESI 33 .448 .004 .009

 Paired Samples Test Paired Differences t df Significance Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference One-Sided p Two-Sided p Lower Upper Pair 1 At Least 75% of HESI Packet Completed - Version 2 HESI -77.64515 10.94192 1.90474 -81.52499 -73.76531 -40.764 32 <.001 <.001

 Paired Samples Effect Sizes Standardizera Point Estimate 95% Confidence Interval Lower Upper Pair 1 At Least 75% of HESI Packet Completed - Version 2 HESI Cohen's d 10.94192 -7.096 -8.855 -5.329 Hedges' correction 11.20700 -6.928 -8.646 -5.203 a. The denominator used in estimating the effect sizes. Cohen's d uses the sample standard deviation of the mean difference. Hedges' correction uses the sample standard deviation of the mean difference, plus a correction factor.

1. Perform a dependent t-test for the variables PreHESI Score and Final Exam HESI Score.  Analyze the data output
1. Report the mean and standard deviation and determine if they are significantly different
2. Report the “t” value and degrees of freedom
3. Write your findings in APA format
4. Include a cut & paste of the output in this assignment

T-Test

 Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Version 1 HESI 79.1243 35 10.83923 1.83216 Version 2 HESI 78.4066 35 11.06854 1.87093

 Paired Samples Correlations N Correlation Significance One-Sided p Two-Sided p Pair 1 Version 1 HESI & Version 2 HESI 35 .380 .012 .024

 Paired Samples Test Paired Differences t df Significance Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference One-Sided p Two-Sided p Lower Upper Pair 1 Version 1 HESI - Version 2 HESI .71771 12.19945 2.06208 -3.47294 4.90837 .348 34 .365 .730
 Paired Samples Effect Sizes Standardizera Point Estimate 95% Confidence Interval Lower Upper Pair 1 Version 1 HESI - Version 2 HESI Cohen's d 12.19945 .059 -.273 .390 Hedges' correction 12.47706 .058 -.267 .381 a. The denominator used in estimating the effect sizes. Cohen's d uses the sample standard deviation of the mean difference. Hedges' correction uses the sample standard deviation of the mean difference, plus a correction factor.

1. Create a Stem & Leaf graph of the output data

Explore

 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Version 1 HESI 35 100.0% 0 0.0% 35 100.0% Version 2 HESI 35 100.0% 0 0.0% 35 100.0%

Version 1 HESI

Version 1 HESI Stem-and-Leaf Plot

Frequency    Stem &  Leaf

1.00        5 .  8

3.00        6 .  344

5.00        6 .  56888

3.00        7 .  133

7.00        7 .  5677889

6.00        8 .  001122

3.00        8 .  799

4.00        9 .  1122

3.00        9 .  789

Stem width:     10.00

Each leaf:        1 case(s)

Version 2 HESI

Version 2 HESI Stem-and-Leaf Plot

Frequency    Stem &  Leaf

3.00        5 .  589

3.00        6 .  033

2.00        6 .  58

3.00        7 .  333

7.00        7 .  5567889

6.00        8 .  002233

4.00        8 .  5569

7.00        9 .  0012334

Stem width:     10.00

Each leaf:        1 case(s)

1.  Perform an independent t-test and test the hypothesis that there is no difference between male and female final HESI Scores. Report your findings in terms of differences in grades.

T-Test

 Group Statistics Gender N Mean Std. Deviation Std. Error Mean Version 2 HESI Male 3 83.7133 4.97826 2.87420 Female 32 77.9091 11.39250 2.01393

 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t df Significance Mean Difference Std. Error Difference 95% Confidence Interval of the Difference One-Sided p Two-Sided p Lower Upper Version 2 HESI Equal variances assumed 2.188 .149 .865 33 .197 .393 5.80427 6.70811 -7.84348 19.45202 Equal variances not assumed 1.654 4.378 .084 .167 5.80427 3.50955 -3.61688 15.22542

 Independent Samples Effect Sizes Standardizera Point Estimate 95% Confidence Interval Lower Upper Version 2 HESI Cohen's d 11.10968 .522 -.672 1.709 Hedges' correction 11.37041 .510 -.656 1.669 Glass's delta 11.39250 .509 -.685 1.696 a. The denominator used in estimating the effect sizes. Cohen's d uses the pooled standard deviation. Hedges' correction uses the pooled standard deviation, plus a correction factor. Glass's delta uses the sample standard deviation of the control (i.e., the second) group.

1.  Submit your output by the due date

https://apaxresearchers.com/storage/files/2024/02/12/9667-C5K_16_02_25_anintegrativereviewoftheuseandoutcomesofhesitestinginbaccalaureatenursingprograms.pdf

https://apaxresearchers.com/storage/files/2024/02/12/9667-gqj_16_02_42_hesiexamsreliabilityandvalidity.pdf

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