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Session for NSSE “Veterans” Regional NSSE User’s Workshop October 2005 Shimon Sarraf, Research Analyst Center for Postsecondary Research, Indiana University Bloomington Overview “NESSIE”  A Quick Survey  Reports Reviewed  Benchmarks Explained  2005 NSSE Dataset Details  Future NSSE Developments  Discussion & Questions Goals  Two-way conversation  Share your experiences  Good preparation for Shimon’s second and third session A Quick Survey to Get Things Started….  Years of Participation in NSSE  Background of attendees The NSSE Reports: Respondent Characteristics  A quick snapshot of your institution  Data quality: Confirming if sample is representative  Response Rate and Sample Error 2005 NSSE Response Rates by Carnegie Classification 100 90 80 79 77 72 Response Rate (%) 70 58 60 53 49 50 39 40 36 33 32 30 20 17 16 14 10 7 3 0 Doc-Extensive Doc-Intensive Masters Mean Min Bac-Gen Max Bac-LA The NSSE Reports: Respondent Characteristics What is Sampling Error?  Assumes random sampling  An estimate of the margin likely to contain your "true" score, for example:  If 60% of your students reply "very often" and the sampling error is ± 5%, it is likely that the true value is between 55% and 65%.  More respondents --> smaller sampling error 2005 NSSE Sampling Error by Carnegie Classification 30 26 25 Sampling Error (%) 20 15 14 11 10 9 8 6 5 5 4 5 4 2 2 2 2 2 Doc-Extensive Doc-Intensive Masters Bac-Gen Bac-LA 0 Mean Min Max The NSSE Reports: Means Comparison NSSE 2005 Means Comparison Report NSSEville State University NSSEville Variable Means, statistical significance and effect sizes 1. Benchmark b. Asked questions in class or contributed to class discussions Made a class presentation Prepared two or more drafts of a paper or c. assignment before turning it in Worked on a paper or project that required d. integrating ideas or information from various sources Included diverse perspectives (different races, e. religions, genders, political beliefs, etc.) in class discussions or writing assignments Come to class without completing readings or f. assignments Worked with other students on projects during g. class Class CLQUEST CLPRESEN ACL ACL REWROPAP INTEGRAT DIVCLASS CLUNPREP CLASSGRP OCCGRP Put together ideas or concepts from different i. courses when completing assignments or during class discussions INTIDEAS Participated in a community-based project (e.g. k. service learning) as part of a regular course Mean Mean Sig a Master's Size b NSSE 2005 Effect Mean Sig a Size b Effect Mean Sig a Size b In your experience at your institution during the current school year, about how often have you done each of the following? 1=never, 2=sometimes, 3=often, 4=very often Worked with classmates outside of class to h. prepare class assignments Tutored or taught other students j. (paid or voluntary) Selected Peers Effect Academic and Intellectual Experiences a. NSSEville compared with: TUTOR COMMPROJ ACL ACL ACL ACL FY 2.71 2.55 *** .19 2.84 *** -.15 2.86 *** -.18 *** -.18 SR 3.02 2.82 *** .22 3.15 *** -.16 3.16 FY 2.24 1.95 *** .40 2.30 ** -.07 2.28 * .11 SR 2.66 2.57 2.93 *** -.32 2.88 *** -.26 FY 2.45 2.48 2.69 *** -.25 2.65 *** -.21 SR 2.32 2.32 2.55 *** -.24 2.51 *** -.20 FY 2.98 2.86 *** .15 3.08 *** -.13 3.08 *** -.12 SR 3.31 3.19 *** .15 3.36 3.37 * -.08 FY 2.75 2.65 *** .11 2.76 SR 2.74 2.64 * .11 2.83 ** -.11 2.83 ** -.11 FY 2.14 2.19 2.01 *** .17 2.03 *** .15 SR 2.31 2.28 2.05 *** .35 2.08 *** .31 FY 2.36 2.30 2.42 ** -.08 2.40 2.58 *** -.16 2.52 * -.09 SR 2.43 2.37 FY 2.41 2.34 SR 2.82 2.80 FY 2.60 2.49 * .07 * .08 *** .14 2.77 2.39 2.43 2.76 2.77 2.54 * .08 2.57 SR 2.89 2.88 2.91 2.93 FY 1.72 1.72 1.68 1.72 SR 1.86 1.87 1.90 1.94 * -.08 FY 1.39 1.40 1.56 *** -.21 1.54 *** -.19 SR 1.63 1.54 1.80 *** -.19 1.77 *** -.15 * .11 The NSSE Reports: Means Comparison What is Statistical Significance?  Helps you answer the question, “How likely is it that the difference between my average student and the average student at [comparison group] is due to chance?  Significance determined by standard alpha values of p<.05, .01, or .001 The NSSE Reports: Means Comparison  Potential problem: As N becomes large, almost everything becomes statistically significant  How do we identify truly significant differences?  This is a question of … practical significance The NSSE Reports: Means Comparison What is Effect Size?  Practical significance of the mean difference  ES=mean difference/standard deviation  .2 is often considered small, .5 moderate, and .8 large (but rare!)  For example, while the difference in the means is statistically significant, the difference is so nominal that it doesn’t warrant further attention The NSSE Reports: Detailed Statistics NSSE 2005 Detailed Statistics NSSEville State University First-Year Students Standard Error of the Mean a Selected Peers Master's NSSE 2005 NSSEville Selected Peers Master's NSSE 2005 NSSEville Selected Peers Master's NSSE 2005 Selected Peers Master's NSSE 2005 Selected Peers Master's NSSE 2005 NSSEville compared with: NSSEville Effect size d NSSEville compared with: NSSE 2005 Significance c Master's Number of respondents Selected Peers Mean, N, SEM, SD, p-value, effect size Standard deviation b NSSEville Mean CLQUEST 2.71 2.55 2.84 2.86 .02 .02 .01 .00 .82 .82 .84 .84 1,329 3,004 19,955 47,746 .000 .000 .000 .19 -.15 -.18 CLPRESEN 2.24 1.95 2.30 2.28 .02 .01 .01 .00 .77 .74 .78 .78 1,327 3,001 19,949 47,729 .000 .009 .133 .40 -.07 -.04 REWROPAP 2.45 2.48 2.69 2.65 .03 .02 .01 .00 .97 1.01 .97 .98 1,324 2,999 19,939 47,688 .371 .000 .000 -.03 -.25 -.21 INTEGRAT 2.98 2.86 3.08 3.08 .02 .02 .01 .00 .79 .84 .77 .78 1,324 2,999 19,933 47,691 .000 .000 .000 .15 -.13 -.12 DIVCLASS 2.75 2.65 2.76 2.77 .02 .02 .01 .00 .85 .89 .86 .87 1,326 2,998 19,932 47,678 .001 .841 .324 .11 -.01 -.03 CLUNPREP 2.14 2.19 2.01 2.03 .02 .01 .01 .00 .76 .79 .74 .74 1,324 2,994 19,911 47,644 .053 .000 .000 -.06 .17 .15 CLASSGRP 2.36 2.30 2.42 2.40 .02 .02 .01 .00 .81 .84 .81 .82 1,327 3,001 19,948 47,705 .031 .006 .071 .07 -.08 -.05 OCCGRP 2.41 2.34 2.39 2.43 .02 .02 .01 .00 .81 .86 .85 .85 1,327 3,002 19,948 47,718 .012 .304 .428 .08 .03 -.02 INTIDEAS 2.60 2.49 2.54 2.57 .02 .01 .01 .00 .79 .79 .79 .80 1,232 2,835 19,150 45,820 .000 .010 .191 .14 .08 .04 TUTOR 1.72 1.72 1.68 1.72 .02 .02 .01 .00 .82 .84 .83 .84 1,232 2,835 19,160 45,844 .991 .067 .787 .00 .05 .01 COMMPROJ 1.39 1.40 1.56 1.54 .02 .01 .01 .00 .73 .72 .82 .81 1,232 2,832 19,156 45,828 .573 .000 .000 -.02 -.21 -.19 ITACADEM 2.73 2.72 2.57 2.61 .03 .02 .01 .00 1.01 1.01 1.05 1.05 1,233 2,834 19,160 45,850 .846 .000 .000 .01 .15 .12 EMAIL 3.16 2.99 3.01 3.06 .02 .02 .01 .00 .80 .84 .85 .85 1,230 2,833 19,155 45,839 .000 .000 .000 .19 .17 .12 FACGRADE 2.54 2.43 2.62 2.62 .02 .02 .01 .00 .88 .87 .86 .86 1,232 2,835 19,158 45,834 .000 .004 .001 .13 -.09 -.09 FACPLANS 2.25 1.99 2.18 2.16 .02 .02 .01 .00 .85 .86 .89 .89 1,232 2,836 19,159 45,841 .000 .009 .001 .31 .08 .10 FACIDEAS 1.78 1.70 1.82 1.86 .02 .02 .01 .00 .82 .81 .85 .86 1,233 2,833 19,159 45,829 .004 .114 .003 .10 -.05 -.09 FACFEED 2.69 2.60 2.73 2.76 .02 .01 .01 .00 .75 .78 .80 .80 1,212 2,792 18,968 45,387 .000 .047 .001 .12 -.05 -.09 WORKHARD 2.55 2.46 2.64 2.63 .02 .02 .01 .00 .83 .86 .83 .84 1,210 2,795 18,964 45,391 .005 .000 .000 .10 -.11 -.10 FACOTHER 1.48 1.44 1.62 1.63 .02 .01 .01 .00 .76 .73 .84 .84 1,209 2,789 18,965 45,381 .150 .000 .000 .05 -.16 -.18 OOCIDEAS 2.62 2.68 2.69 2.73 .02 .02 .01 .00 .85 .87 .86 .86 1,211 2,792 18,960 45,380 .034 .006 .000 -.07 -.08 -.13 DIVRSTUD 2.52 2.71 2.52 2.60 .03 .02 .01 .00 1.03 1.00 1.01 1.02 1,212 2,790 18,956 45,366 .000 .969 .008 -.19 .00 -.08 DIFFSTU2 2.76 2.85 2.70 2.77 .03 .02 .01 .00 .96 .94 .97 .97 1,212 2,790 18,959 45,375 .009 .035 .726 -.09 .06 -.01 MEMORIZE 2.96 2.88 2.90 2.85 .02 .02 .01 .00 .83 .86 .87 .88 1,207 2,781 18,859 45,096 .013 .016 .000 .08 .07 .12 ANALYZE 3.12 3.05 3.04 3.09 .02 .01 .01 .00 .74 .76 .79 .78 1,207 2,781 18,849 45,068 .004 .000 .113 .10 .11 .05 SYNTHESZ 2.82 2.81 2.81 2.87 .02 .02 .01 .00 .80 .84 .84 .84 1,206 2,779 18,835 45,049 .714 .628 .065 .01 .01 -.05 EVALUATE 2.78 2.74 2.82 2.84 .02 .02 .01 .00 .83 .86 .85 .85 1,207 2,783 18,838 45,064 .136 .100 .020 .05 -.05 -.07 APPLYING 2.99 2.95 2.96 2.99 .02 .02 .01 .00 .81 .86 .85 .85 1,206 2,783 18,847 45,074 .198 .172 .873 .04 .04 .00 READASGN 3.47 3.32 3.23 3.31 .03 .02 .01 .00 .97 .89 .96 .97 1,197 2,771 18,754 44,895 .000 .000 .000 .16 .25 .16 The NSSE Reports: Detailed Statistics What are Confidence Intervals?  CI = Mean +/- 2SEM  Multiplying the SEM by 2 creates a margin around the sample mean that is 95% likely to contain the true population mean.  More respondents smaller standard error of the mean (SEM), more precise estimate  Higher standard deviation greater SEM, less precise estimate The NSSE Reports: Frequency Distributions Counts and percentages for each response option The NSSE Reports: Frequency Distributions Tip: Consider merging response options to create dichotomous variables (1/0)  Frequently = often + very often  Substantial = quite a bit + very much The NSSE Reports: New Features  Selected Peer Group  Including or Excluding your targeted oversample 5 Benchmarks of Effective Educational Practice Level of Academic Challenge Active and Collaborative Learning Student Faculty Interaction Enriching Educational Experiences Supportive Campus Environment Level of Academic Challenge  Challenging intellectual and creative work is central to student learning and collegiate quality.  Institutions promote high levels of achievement by setting high expectations for student performance.  11 items include:  Preparing for class  Reading and writing  Using higher-order thinking skills  Institutional environment emphasizes academic work Active and Collaborative Learning  Students learn more when they are more intensely involved in their education.  Collaborating with others prepares students to handle practical, real-world problems.  7 items include:  Asking questions in class  Making presentations  Working with other students on projects  Discussing ideas from readings or classes with others Student Interactions with Faculty  Interacting with faculty show students first-hand how to think about and solve practical problems.  Teachers become role models and mentors for learning.  6 items include:  Discussing assignments with a professor  Talking about career plans with faculty member or advisor  Getting prompt feedback on academic performance  Working with a faculty member on a research project Enriching Educational Experiences  Students need learning opportunities that complement the goals of the academic program.  Provide opportunities to integrate and apply knowledge.  11 items include:  Experiencing diversity  Using technology  Participating in internships  Culminating senior experience Supportive Campus Environment  Students perform better and are more satisfied at colleges that are committed to their success.  Does institution cultivate positive working and social relationships among different groups on campus?  6 items include:  Helping students achieve academically  Helping students cope with non-academic responsibilities  Quality of relationship between student and peers, faculty, and administrative personnel Benchmarks of Effective Educational Practice How are benchmark scores calculated? 1. Items are converted to a 100-point scale: [(response value – 1)/(total # of response values – 1)]*100 2. Part-time students' scores are adjusted on four Academic Challenge items. 3. Student-level scores are created for each group of items by taking the mean, as long as 3/5ths of the items were answered. 4. Institutional benchmarks are the weighted averages of the student-level scores. Benchmark Report Level of Academic Challenge Level of Academic Challenge Items: 75 Preparing for class (studying, reading, writing, rehearsing, etc. related to academic program) Number of assigned textbooks, books, or book-length packs of course readings 65 Benchmark Scores Challenging intellectual and creative work is central to student learning and collegiate quality. Colleges and universities promote high levels of student achievement by emphasizing the importance of academic effort and setting high expectations for student performance Number of written papers or reports of 20 pages or more; number of written papers or reports of between 5 and 19 pages; and number of written papers or reports of fewer than 5 pages 55 Coursework emphasizing analysis of the basic elements of an idea, experience or theory 45 Nesseville Coursework emphasizing synthesis and organizing of ideas, Consortium Carnegie National information, or experiences into new, more complex interpretations and relationships 35First-Year 52.5 52.4 25Senior 56.3 55.6 First-Year Senior Nesseville 52.5 56.3 Consortium 52.4 55.6 Carnegie 51.8 54.9 National 53.4 57.0 51.8 53.4 Coursework emphasizing the making of judgments about the value of information, arguments, or methods 57.0 Coursework54.9 emphasizing application of theories or concepts to practical problems or in new situations Working harder than you thought you could to meet an instructor's standards or expectations Campus environment emphasizing time studying and on academic work Benchmarks of Effective Educational Practice Benchmark recalculation reports (04 & 05):  Driven by new calculation process that began for the 04 administration  Multi-year Comparisons  EEE: not comparable because of response set change  SFI: comparable by removing “research” item Benchmarks of Effective Educational Practice Institutions can use the student-level scores to:  Investigate what groups are more engaged than others on your campus.  Institutional subgroups (i.e., programs, departments)  Student sub-groups (i.e., gender, race)  Incorporate scale scores into predictive models of student outcomes (retention, g.p.a., satisfaction) Measurement Scales Satisfaction General Satisfaction Satisfaction plus Quality of Campus Relationships Campus Environment Environmental Emphases Quality of Campus Relationships Gains Factors Personal/Social General Education Practical Competence Deep Learning Activities  Higher-Order Learning activities that require students to utilize higher levels of mental activity than those required for rote memorization (2b,c,d,e)  Integrative Learning activities that require integrating acquired knowledge, skills, and competencies into a meaningful whole (1d,e,i,p,t)  Reflective Learning activities that ask students to explore their experiences of learning to better understand how they learn NSSE Scalelets  Course Challenge  Varied Experiences  Writing  Information Technology  Active Learning  Diversity  Collaborative Learning  Support for Student Success  Course Interaction  Out-of-Class Interaction  Gains (academic, personal, vocational)  Interpersonal Environment 2005 NSSE Dataset Details What do you need to know to match your Institutional Report numbers?  “smpl05” (sampling type)  use 1 (base sample), 2 (standard oversample), 3 (requested oversample) values…  and 4 (targeted oversample) if “targetos” equals 1  “inelig”  exclude all ineligible respondents  use those with values of 1 for “inelig” Future Developments  Customized Report Engine  Archiving of reports and datasets online  Integrating new Carnegie classification  NSSE Knowledge Base Discussion and Comments Shimon Sarraf Research Analyst Indiana University Center for Postsecondary Research 1900 East 10th Street Eigenmann Hall, Suite 419 Bloomington, IN 47406 Ph: 812-856-2169 [email protected] www.nsse.iub.edu