StudentsReview ™ :: Top Social Work School Ranking

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Best Social Work Programs

Careers in Social Work: Social Work Salary, Satisfaction, Unemployment, Social Work Salary Trend
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From Surveys Matching: Social Work

Cedarville University
B+ 7.6
Brigham Young University - Provo
B 7.2
Catholic University of America
B 7.2
Brescia University
B 7.1
Olivet Nazarene University
B 7.0
Texas State University
B 7.0
Florida State University
B 7.0
Michigan State University
B- 6.5
Governors State University  
B- 6.4
Wheelock College
B- 6.4
Warren Wilson College
B- 6.4
New York University
B- 6.3
University of Nevada - Las Vegas
B- 6.3
University of North Carolina - Wilmington
B- 6.2
Eastern Michigan University
B- 6.1
Harding University
B- 6.0
Abilene Christian University
B- 6.0
Western Connecticut State University
B- 6.0
Manchester University
B- 5.9
Elizabethtown College
B- 5.9
Oral Roberts University
B- 5.8
University of Tennessee - Knoxville
B- 5.8
Saint Leo University  
C+ 5.7
California State University - Long Beach
C+ 5.6
Northeastern University
C+ 5.5
Western Carolina University
C+ 5.5
Atlantic Union College
C+ 5.5
Asbury University
C+ 5.5
Arizona State University - Tempe
C+ 5.3
Edinboro University of Pennsylvania
C+ 5.3
University of Pittsburgh - Johnstown
C+ 5.1
Marist College
C 5.0
Portland State University
C 5.0
Nyack College
C 4.8
Weber State University
C 4.7
Salve Regina University
C 4.7
West Virginia University
C 4.6
Gannon University
C 4.6
Southern Connecticut State University
C 4.5
Morgan State University
C 4.4
California State University - Los Angeles
C 4.3
Monmouth University
C 4.3
Pensacola Christian College
C- 4.1
Saint Mary's College
C- 4.1
Alabama A & M University
C- 3.6
Cleveland State University
D+ 3.4
Salem State University
D+ 3.3
Aurora University
D+ 3.0
Florida International University
D+ 3.0
Mount Saint Mary College
D+ 3.0


About this College Ranking

Removing bad surveys
    Student Surveys are filtered of duplicate and “invalid” surveys prior to ranking.  Invalid surveys are those that are not self-consistent, reflecting a corrupting effect on the data, either accidental or with intent.  We have found that certain inclined students survey their “competing” schools, giving artificially bad (or good of their own school) reviews.  While we do not wish to point any fingers, we have been able to link up several groupings of falsified data with admissions staff at some universities. 
    5,000 valid surveys were analyzed statistically, and a gaussian matrix was created to model the survey patterns within and between surveys. 
We can now identify those surveys that: vary too little, vary too much, have fields that do not covary properly, or are inconsistent.  (i.e.  rating the university as an A for friendliness, but then complaining either about the people or the social life).  In addition, a rule-base system was created to identify duplicates and model trends of surveys from the same machine. 
This allows us to be able to identify if a person is falsifying many surveys.  FFT analysis is employed to determine the “data content” of each survey as well, providing more information for modeling. 
    The resulting filter, correlation matrix, and survey model is applied uniformly to all surveys.  Out of 7,500 undergraduate student surveys, 483 surveys were rendered invalid.  Inspection of the invalid surveys revealed a failure rate of 5%.  (24 of the 483 surveys were actually “good",2.5).

How is rank computed?

    The generic quick answer is that it is the average of student opinion ratings minus “variability of score”.  The “variability of score” is larger for low numbers of surveys, meaning that that school's ranking position is less trustably high or low.  Strict statistical variance is not instructive here because 'variance' is computed within a group of surveys — with only 1 survey, there is no variance.

The 'Variability' function decreases with the size of the sample set, applied equally to all institutions, making it an acceptably fair accounting form.  After 5 surveys, the variability of score drops to less than .3; after 10 surveys, it is less than .1.  After 20 surveys, there no significant variability in position.  Essentially, each school's score converges to a position as the number of surveys increases.

More specifically, Rank is computed by multiplying the importance of each variable selected by that variable and adding together.  The average of all matching surveys for a particular school is then taken.  From this, a 'variability' is computed — this is based upon the number of surveys.  If there is only 1 survey, and it ranks a school at a 10, then 1 more survey could come in, ranking a '0', which would give the school average a 5 (10/(1+1) = 5).  This is the lowest that the school 'could' be — given 1 more survey.  So this 'variability' is subtracted from the overall score, reducing it.  In this manner, schools that have more surveys have a more believable average than school with only 1 survey. 


Social Work Major unemployment rate

_Social WorkAll Majors
Minimum Wage%8%4
All Others%83%88
More: Unemployment for all Majors *** not counting stay at home parents *** not counting those currently in grad school

Are things going well in Social Work?

Going Well%81
Not Going Well%19
More: All Majors Satisfaction ??? This is a social "life satisfaction" question. Overall, would people who graduated with a degree in Social Work say that their life is going well? It could be interpreted in terms of stress, salary, long hours, future prospects, etc. *** not counting those currently in grad school

Graduates who stayed in Social Work

Still in Field%66
Got out%34
More: All Majors Still in field ??? A high "got out" percentage can be interpreted a couple of ways -- for instance, perhaps the major is a great stepping stone to becoming a totally different career -- like a doctor. Or perhaps the jobs one gets with the major just aren't that great. *** not counting those currently in grad school

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