S-SOMAS Report
Overview
Background
S-SOMAS
The Research Process
Collecting Data
Analysis By Construct
Reporting Data
Using and Sharing Data
Next Steps
Demographics
Gender
Race
What is your race or origin?
This graph is in the works
Native Language
Select the language(s) in which you are fluent. Select all that apply.
assume the class is in English
Age
Class level
Which of the following best classifies you as a student?
Do we like the order of this one. Inlayed bars?
Have you successfully taken a statistics class before?
Average GPA
This graph is currenly being worked on
Pre Post plot
The problem with the GPA dual graph is that since we are categorizing gpa as a “numeric” with groups, such as a categorical variable, our formatting doesn’t quite work. we will need to reformat this graph in order to get it to plot.
Majors
Pick the field that best describes your major or intended major
This graph needs to be condensed. We should combine majors in order to get the quantitiy down. It will help the y axis be easier to read. waiting to see how we want to group them. Do we want to select only the top 5, top 10?
Items that need to be addressed
- major questions need to be grouped to make the y axis cleaner
- fix the x axis to percent properly
- add national to this graph
The graph above is being worked on. The next portion is to group the majors together to make the graph smaller.
Minors
If you have a minor, pick the field that best describes your minor.
Items that need to be addressed
- minor questions need to be grouped to make the y axis cleaner
- add national to this graph
Lots of None responses, do we want to keep this in the data. do we want to group them. ideas are welcome for this one.
Prepost plot
Items that need to be addressed
- Sort the values from highest to lowest
- Fix the scaling for each of the values as it doesnt scale for the values that are possible. (Goes to 100% when no value is above 50%)
- minor questions need to be grouped to make the y axis cleaner
Same comments as the last one
Why take
Which of the following best describes why you are taking this class? Select all that apply.
this is a second way we thought about labeling the bars. the count on the top and the percents on the bottom.
Constructs
Global
Histogram for the averages for each group of construct. Ie, The average for cost for CSUMB is centered around 5 and is skewed left.
## mapping: xintercept = ~(constructmean), colour = ~source, linetype = ~source
## geom_vline: na.rm = FALSE
## stat_identity: na.rm = FALSE
## position_identity
Gutt
AcadSC
This is a work in progress. We are currently working on getting the questions on the top of each graph.
Likert Table
these tables can also be used with the filter for the report type.
| varname | bottom | mean | top | sd |
|---|---|---|---|---|
| acadsc_post | 4.877082 | 4.870473 | 4.863864 | 0.7206149 |
| acadsc_pre | 4.983601 | 4.977394 | 4.971186 | 0.6768302 |
| attainment_post | 5.047629 | 5.038189 | 5.028750 | 1.0292032 |
| attainment_pre | 5.113639 | 5.105072 | 5.096505 | 0.9341093 |
| cost_post | 4.539620 | 4.533774 | 4.527929 | 0.6374078 |
| cost_pre | 4.550188 | 4.545141 | 4.540093 | 0.5503365 |
| difficulty_post | 4.044184 | 4.036088 | 4.027992 | 0.8827293 |
| difficulty_pre | 4.027220 | 4.020042 | 4.012864 | 0.7826693 |
| difficultyme_post | 4.012724 | 4.004733 | 3.996741 | 0.8713759 |
| difficultyme_pre | 3.989844 | 3.982605 | 3.975367 | 0.7892319 |
| expectancy_post | 5.165846 | 5.157261 | 5.148675 | 0.9361384 |
| expectancy_pre | 4.961329 | 4.953408 | 4.945487 | 0.8636900 |
| gbeliefs_post | NA | NaN | NA | NA |
| gbeliefs_pre | NA | NaN | NA | NA |
| global_post | NA | NaN | NA | NA |
| global_pre | NA | NaN | NA | NA |
| goals_post | 4.016495 | 4.006336 | 3.996177 | 1.1076620 |
| goals_pre | 3.854538 | 3.845135 | 3.835732 | 1.0252169 |
| intenj_post | 4.323077 | 4.317080 | 4.311083 | 0.6538697 |
| intenj_pre | 4.487228 | 4.482058 | 4.476887 | 0.5637848 |
| utility_post | 4.501774 | 4.495324 | 4.488875 | 0.7032566 |
| utility_pre | 4.547077 | 4.541702 | 4.536327 | 0.5860088 |
| varname | bottom | mean | top | sd |
|---|---|---|---|---|
| acad_sc_1_post | 3.468320 | 3.462674 | 3.457029 | 1.507794 |
| acad_sc_1_pre | 3.418761 | 3.413374 | 3.407987 | 1.438851 |
| acad_sc_10_post | 5.200125 | 5.195242 | 5.190359 | 1.304134 |
| acad_sc_10_pre | 5.472427 | 5.467848 | 5.463270 | 1.222822 |
| acad_sc_4_post | 5.227427 | 5.222496 | 5.217565 | 1.316947 |
| acad_sc_4_pre | 5.523570 | 5.518987 | 5.514405 | 1.223925 |
| acad_sc_5_post | 5.075559 | 5.071370 | 5.067181 | 1.118875 |
| acad_sc_5_pre | 5.141341 | 5.137354 | 5.133368 | 1.064782 |
| acad_sc_6_post | 5.115499 | 5.110747 | 5.105994 | 1.269204 |
| acad_sc_6_pre | 5.157759 | 5.153066 | 5.148374 | 1.253347 |
| acad_sc_7_post | 5.214783 | 5.210353 | 5.205923 | 1.183129 |
| acad_sc_7_pre | 5.387416 | 5.383173 | 5.378930 | 1.133198 |
| acad_sc_9_post | 4.848903 | 4.843443 | 4.837982 | 1.458504 |
| acad_sc_9_pre | 4.772431 | 4.766971 | 4.761510 | 1.458465 |
| attain_3_post | 4.990292 | 4.985222 | 4.980151 | 1.354178 |
| attain_3_pre | 5.002107 | 4.997471 | 4.992835 | 1.238099 |
| attain_4_post | 5.019741 | 5.014778 | 5.009816 | 1.325353 |
| attain_4_pre | 5.070588 | 5.065790 | 5.060991 | 1.281504 |
| attain_5_post | 5.123921 | 5.119048 | 5.114174 | 1.301582 |
| attain_5_pre | 5.243159 | 5.238602 | 5.234045 | 1.217089 |
| attain_6_post | 4.466969 | 4.461034 | 4.455098 | 1.585261 |
| attain_6_pre | 4.554383 | 4.548632 | 4.542881 | 1.535990 |
| attain_7_post | 5.416386 | 5.411813 | 5.407240 | 1.221479 |
| attain_7_pre | 5.521441 | 5.516962 | 5.512483 | 1.196326 |
| attain_8_post | 5.323533 | 5.318853 | 5.314172 | 1.250091 |
| attain_8_pre | 5.450179 | 5.446021 | 5.441864 | 1.110411 |
| attain_9_post | 4.945031 | 4.940066 | 4.935100 | 1.326249 |
| attain_9_pre | 4.909912 | 4.905098 | 4.900285 | 1.285537 |
| cost_1_post | 4.513275 | 4.508224 | 4.503172 | 1.349262 |
| cost_1_pre | 4.341729 | 4.337045 | 4.332360 | 1.251132 |
| cost_10_post | 5.082865 | 5.078125 | 5.073385 | 1.266075 |
| cost_10_pre | 5.242536 | 5.238360 | 5.234184 | 1.115309 |
| cost_2_post | 4.038836 | 4.033607 | 4.028378 | 1.396592 |
| cost_2_pre | 3.778272 | 3.773394 | 3.768516 | 1.302924 |
| cost_3_post | 4.259528 | 4.253903 | 4.248278 | 1.502340 |
| cost_3_pre | 4.410794 | 4.405761 | 4.400727 | 1.344422 |
| cost_4_post | 4.689350 | 4.684167 | 4.678985 | 1.384112 |
| cost_4_pre | 4.768536 | 4.763931 | 4.759327 | 1.229802 |
| cost_5_post | 4.969661 | 4.964754 | 4.959847 | 1.310488 |
| cost_5_pre | 5.104537 | 5.100304 | 5.096071 | 1.130631 |
| cost_6_post | 4.827058 | 4.822131 | 4.817205 | 1.315773 |
| cost_6_pre | 4.893484 | 4.889114 | 4.884744 | 1.167075 |
| cost_7_post | 3.674035 | 3.668036 | 3.662037 | 1.602292 |
| cost_7_pre | 3.454608 | 3.449062 | 3.443517 | 1.481141 |
| cost_9_post | 4.787105 | 4.782072 | 4.777040 | 1.344169 |
| cost_9_pre | 4.954268 | 4.949924 | 4.945580 | 1.160248 |
| difficulty_3_me_post | 4.029841 | 4.023809 | 4.017778 | 1.610950 |
| difficulty_3_me_pre | 4.078676 | 4.073381 | 4.068085 | 1.414278 |
| difficulty_3_post | 4.207845 | 4.201970 | 4.196096 | 1.569092 |
| difficulty_3_pre | 4.211938 | 4.206792 | 4.201645 | 1.374505 |
| difficulty_4_post | 3.924776 | 3.918852 | 3.912929 | 1.582038 |
| difficulty_4_pre | 3.961684 | 3.956434 | 3.951183 | 1.402383 |
| difficulty_6_me_post | 3.908800 | 3.903120 | 3.897440 | 1.516973 |
| difficulty_6_me_pre | 3.910593 | 3.905364 | 3.900136 | 1.396434 |
| difficulty_6_post | 4.063916 | 4.058244 | 4.052573 | 1.514805 |
| difficulty_6_pre | 4.062786 | 4.057692 | 4.052599 | 1.360458 |
| difficulty_7_me_post | 4.068125 | 4.062449 | 4.056772 | 1.516156 |
| difficulty_7_me_pre | 3.901256 | 3.896307 | 3.891359 | 1.321678 |
| difficulty_7_post | 3.962036 | 3.956450 | 3.950864 | 1.491944 |
| difficulty_7_pre | 3.770489 | 3.765688 | 3.760888 | 1.282109 |
| difficulty_8_me_post | 4.037164 | 4.031199 | 4.025234 | 1.593128 |
| difficulty_8_me_pre | 4.061028 | 4.055668 | 4.050308 | 1.431628 |
| difficulty_8_post | 4.201533 | 4.195563 | 4.189593 | 1.594464 |
| difficulty_8_pre | 4.299772 | 4.294566 | 4.289359 | 1.390508 |
| expectancy_1_post | 4.842373 | 4.837438 | 4.832504 | 1.317917 |
| expectancy_1_pre | 4.400417 | 4.395549 | 4.390681 | 1.300242 |
| expectancy_2_post | 5.141537 | 5.137335 | 5.133134 | 1.122191 |
| expectancy_2_pre | 4.988331 | 4.984328 | 4.980324 | 1.069302 |
| expectancy_3_post | 5.307952 | 5.303777 | 5.299601 | 1.115220 |
| expectancy_3_pre | 5.041073 | 5.037000 | 5.032926 | 1.087990 |
| expectancy_4_post | 5.230463 | 5.225966 | 5.221468 | 1.201308 |
| expectancy_4_pre | 4.997598 | 4.992915 | 4.988232 | 1.250802 |
| expectancy_6_post | 5.284849 | 5.280687 | 5.276525 | 1.111596 |
| expectancy_6_pre | 5.361276 | 5.357468 | 5.353661 | 1.016985 |
| g_beliefs_1_post | 3.193585 | 3.188216 | 3.182847 | 1.433971 |
| g_beliefs_1_pre | 3.113338 | 3.108367 | 3.103396 | 1.327718 |
| g_beliefs_2_post | 5.026460 | 5.021259 | 5.016059 | 1.388946 |
| g_beliefs_2_pre | 5.033664 | 5.028759 | 5.023854 | 1.309955 |
| g_beliefs_3_post | 2.530357 | 2.525756 | 2.521156 | 1.228727 |
| g_beliefs_3_pre | 2.518742 | 2.514372 | 2.510003 | 1.167016 |
| global_1_post | 4.740916 | 4.735582 | 4.730249 | 1.424477 |
| global_1_pre | 4.978322 | 4.973300 | 4.968278 | 1.341337 |
| global_2_post | 4.648473 | 4.643500 | 4.638526 | 1.328452 |
| global_2_pre | 4.556322 | 4.551411 | 4.546501 | 1.311487 |
| global_3_post | 4.192847 | 4.187398 | 4.181949 | 1.455337 |
| global_3_pre | 4.340535 | 4.335350 | 4.330166 | 1.384648 |
| global_4_post | 4.875893 | 4.870704 | 4.865514 | 1.386010 |
| global_4_pre | 4.879995 | 4.875063 | 4.870131 | 1.317342 |
| global_5_post | 3.563797 | 3.557283 | 3.550769 | 1.739715 |
| global_5_pre | 3.665532 | 3.659274 | 3.653016 | 1.671401 |
| goals_1_post | 3.711251 | 3.705496 | 3.699742 | 1.536975 |
| goals_1_pre | 3.498452 | 3.492893 | 3.487334 | 1.484711 |
| goals_10_post | 4.354704 | 4.349467 | 4.344229 | 1.398782 |
| goals_10_pre | 4.231952 | 4.226950 | 4.221949 | 1.335758 |
| goals_4_post | 3.312773 | 3.306557 | 3.300342 | 1.660067 |
| goals_4_pre | 3.013980 | 3.008097 | 3.002214 | 1.571240 |
| goals_6_post | 4.437830 | 4.432787 | 4.427744 | 1.346916 |
| goals_6_pre | 4.300397 | 4.295397 | 4.290397 | 1.335343 |
| goals_7_post | 3.818443 | 3.812654 | 3.806865 | 1.546240 |
| goals_7_pre | 3.676154 | 3.670380 | 3.664606 | 1.542117 |
| goals_9_post | 4.439543 | 4.434210 | 4.428878 | 1.424286 |
| goals_9_pre | 4.387646 | 4.382472 | 4.377298 | 1.381992 |
| int_enj_1_post | 4.408475 | 4.402789 | 4.397103 | 1.518693 |
| int_enj_1_pre | 4.889901 | 4.885063 | 4.880226 | 1.291957 |
| int_enj_2_post | 3.916961 | 3.911330 | 3.905699 | 1.503877 |
| int_enj_2_pre | 3.872587 | 3.867580 | 3.862573 | 1.337176 |
| int_enj_3_post | 4.512037 | 4.506557 | 4.501078 | 1.463515 |
| int_enj_3_pre | 4.551523 | 4.546559 | 4.541595 | 1.325832 |
| int_enj_6_post | 4.613123 | 4.607875 | 4.602628 | 1.401549 |
| int_enj_6_pre | 4.873473 | 4.868661 | 4.863850 | 1.285083 |
| int_enj_7_post | 4.764870 | 4.759442 | 4.754013 | 1.449936 |
| int_enj_7_pre | 5.075095 | 5.070309 | 5.065522 | 1.278368 |
| int_enj_8_post | 3.729543 | 3.723684 | 3.717825 | 1.564829 |
| int_enj_8_pre | 3.646315 | 3.641376 | 3.636437 | 1.319186 |
| utility_1_post | 4.456741 | 4.451189 | 4.445638 | 1.482754 |
| utility_1_pre | 4.496442 | 4.491148 | 4.485854 | 1.413873 |
| utility_2_post | 4.832585 | 4.827445 | 4.822304 | 1.372834 |
| utility_2_pre | 4.916010 | 4.911437 | 4.906865 | 1.221226 |
| utility_3_post | 4.757763 | 4.752256 | 4.746749 | 1.470895 |
| utility_3_pre | 4.914527 | 4.909413 | 4.904299 | 1.365911 |
| utility_4_post | 5.046846 | 5.041803 | 5.036761 | 1.346727 |
| utility_4_pre | 5.138220 | 5.133536 | 5.128851 | 1.251062 |
| utility_5_post | 3.347322 | 3.341523 | 3.335724 | 1.548819 |
| utility_5_pre | 3.154964 | 3.149646 | 3.144328 | 1.420228 |
| utility_6_post | 2.805702 | 2.800000 | 2.794298 | 1.522918 |
| utility_6_pre | 2.630875 | 2.625506 | 2.620137 | 1.433924 |
| utility_7_post | 5.082292 | 5.077112 | 5.071933 | 1.383325 |
| utility_7_pre | 5.258315 | 5.253799 | 5.249284 | 1.206051 |
| utility_8_post | 5.158347 | 5.153530 | 5.148713 | 1.286517 |
| utility_8_pre | 5.331975 | 5.327769 | 5.323563 | 1.123364 |
| utility_9_post | 5.024582 | 5.019704 | 5.014827 | 1.302777 |
| utility_9_pre | 5.082411 | 5.077935 | 5.073460 | 1.195349 |
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