| 1. Cluster individual items into logical categories that represent important course objectives or instructional components.
Items that comprise the course-evaluation instrument could be arranged so that the stated objectives of the course and similar objectives are clustered into separate sections. Alternatively, items pertaining to each of the three key components of instruction could be grouped together in separate sections, namely:
| (a) |
course planning and design (e.g., questions pertaining to overall course organization and clarity of course objectives); |
| (b) |
classroom instruction (e.g., items pertaining to in-class teaching, such as clarity and organization of lectures or instructional presentations); and |
| (c) |
evaluation of student performance (e.g., items pertaining to the fairness of tests, assignments, grading practices, and the quality of feedback provided by the instructor). |
A healthy balance of questions pertaining to both course content (topics and subtopics) and instructional process (in-class and out-of-class learning activities) could also be included and clustered together on the evaluation form.
A major advantage of this organizational strategy is that the separate sections or categories can function as signposts or retrieval cues for the designers of the survey, ensuring that the items selected for inclusion in the instrument reflect a well-balanced sample of the major course dimensions that affect the quality of the students' learning experience.
Another advantage of grouping items under section headings is that they can function as cues or signals to students completing the instrument that there are distinct dimensions to the course. This may help them to discriminate among important components of course effectiveness, thereby increasing the likelihood that they will assess them independently.
Lastly, partitioning the instrument into separate sections that reflect separate course dimensions should help to reduce the risk of a general "halo effect," i.e., the tendency for a student to complete the evaluation instrument by giving each item the same positive or negative score (such as all 1s or 5s).
2. Provide a rating scale that allows five-to-seven choice points or response options.
There is research evidence which suggests that fewer than five choices reduces the instrument's ability to discriminate between satisfied and dissatisfied respondents, and more than seven rating-scale options adds nothing to the instrument's discriminability (Cashin, 1990).
3. If possible, do not include neutral, "don't know," or "not sure" as a response option.
This alternative could generate misleading results because it may be used as an "escape route" by students who do have strong opinions but are reluctant to offer them (Arreola, 1983).
4. Include items that ask students to report their behavior.
Astin (1991) suggests a taxonomy for classifying types of data that may be collected in the assessment process, which includes two broad categories:
| (a) |
psychological data reflecting students' internal states, and |
| (b) |
behavioral data reflecting students' activities. |
Traditionally, student course evaluations have focused almost exclusively on the gathering of psychological data (student perceptions or opinions). However, given that one of the major goals of most new-student seminars is to increase students' actual use of campus services and student involvement in campus life (Barefoot & Fidler, 1996), items which generate behavioral data pertaining to use of campus services, or frequency of participation in co-curricular activities, should also be included on the evaluation instrument.
5. Ask for comments and leave space for them after each question.
Written comments often serve to clarify or elucidate numerical ratings, and instructors frequently report that written comments are most useful for course-improvement purposes, especially if such comments are specific (Seldin, 1992). As Jacobi (1991) points out, "The typical survey consists of a majority of closed-ended items, with limited opportunities for open-ended responses. This format does not encourage students to explore their attitudes, feelings, or experiences in depth and therefore may provide incomplete information about why students think, feel, or behave in a particular manner" (p. 196).
Allowing students to write comments with respect to each individual item, rather than restricting them to the usual "general comments" section at the very end of the evaluation form, should also serve to increase the specificity of students' written remarks and, consequently, their utility for course or program improvement.
6. Include at least two global items on the evaluation instrument pertaining to overall course effectiveness or course impact.
The following statements illustrate global items that are useful for summative evaluation:
| (a) |
I would rate the overall quality of this course as: (poor) - (excellent).
comments:
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| (b) |
I would rate the general usefulness of this course as: (very low) - (very high).
comments:
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| (c) |
I would recommend this course to other first-year students: (strongly agree) - (strongly disagree).
comments:
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Responses to these global items can provide an effective and convenient summary or summative snapshot of students' overall evaluation of the course that can be readily used in program assessment reports. Research has repeatedly shown that these global ratings are more predictive of student learning than student ratings given to individual survey items pertaining to specific aspects or dimensions of course instruction (Braskamp & Ory, 1994; Centra, 1993; Cohen, 1986). As Cashin (1990) puts it, global items function "like a final course grade" (p. 2).
Abrami (1989) argues further, "it does make conceptual and empirical sense to make summative decisions about teaching using a unidimensional [global] rating. This choice then frees us to recognize that the particular characteristics of effective teaching vary across instructors" (p. 227). Thus, ratings on such unidimensional or global items may be used to make summative (overall) assessments of the course or instructor. In contrast, it is not a valid practice to add up student ratings for all individual items on the questionnaire and then simply average them in order to obtain an overall evaluation of the course. This procedure not only is inefficient, it is also an ineffective index of overall course satisfaction because it gratuitously assumes that each individual item carries equal weight in shaping the students' overall evaluation of the course.
Inclusion of global items on the evaluation instrument not only provides a valid snapshot of course effectiveness, it also allows for the examination of relationships between students' overall course ratings and their ratings on individual items pertaining to specific course dimensions. The inclusion of both global and specific items could reveal those specific aspects or dimensions of the course that carry the most weight in determining students' overall perceptions and their overall level of satisfaction with the course, and may also represent key target areas for course improvement.
7. Include an open-ended question asking for written comments about the course's strengths and weaknesses, and how the latter may be improved or rectified.
Such questions can often provide useful information about students' general reaction to the course as well as specific suggestions for course improvement. For example, in a new-student seminar, students could be asked to provide a written response to a question that asks them to "describe a major change (if any) in their approach to the college experience that resulted from their participation in the course." Or, students could be asked, "Was there anything important to learn about being a successful student that was not addressed in the course?" The written responses to these questions provided by students in separate class sections could be aggregated and their content analyzed to identify recurrent themes or response categories. (This is an example of how qualitative data can be gathered simultaneously along with the usual quantitative data generated by student-ratings instruments.)
8. Provide some space at the end of the evaluation form so that individual instructors can add their own questions (Seldin, 1993)
This practice enables instructors to assess specific instructional practices that are unique to their own course. Also, this option should serve to give instructors some sense of personal control or ownership of the evaluation instrument that, in turn, may increase their motivation to use the results in a constructive fashion.
9. Give students the opportunity to suggest questions that they think should be included on the evaluation form.
This opportunity could be cued by a prompt at the end of the evaluation form, such as, "Suggested Questions for Future Evaluations." This practice has three major advantages:
| (a) |
It may identify student perspectives and concerns that the evaluation form failed to address,
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| (b) |
It shows respect for student input, and |
| (c) |
It gives students some sense of control or ownership of the evaluation process.
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| 1. Report both the central tendency and variability of students' course ratings.
Two key descriptive statistics can effectively summarize student ratings:
| (a) |
Mean (average) rating per item, which summarizes the central tendency of student ratings, and |
| (b) |
standard deviation (SD) per item, which summarizes the variation or spread of student ratings for each item. Theall and Franklin (1991) succinctly capture the meaning and significance of including standard deviation in the analysis and summary of students' course ratings |
In addition to computing the means and SDs for student ratings received by individual instructors in their own course sections, these statistics can also be computed for all class sections combined, thereby allowing individual instructors to compare the mean and SD score for ratings in their own section with the composite mean and standard deviation calculated for all sections. Computing section-specific and across-section (composite) means and SDs for each item on the evaluation instrument also allow for the application of statistical tests to detect significant differences between the instructor's section-specific ratings and the average rating of all course sections combined. The results of these significance tests could provide valuable information that can be used diagnose instructional improvement. For instance, if an instructor's rating on an item is significantly below the collective mean for that item, it may suggest to the instructor that this is one aspect of his instruction that needs closer attention and further development. In contrast, if an instructor's mean rating on a given item is significantly above the overall mean for all course sections on that item, then this discrepancy suggests an instructional strength with respect to that particular course characteristic. What the instructor is doing to garner such a comparatively high rating might be identified and shared with other faculty who are teaching the course.
2. The identification and sharing of strategies for instructional improvement should be an essential component of course assessment, and it is a form of feedback that has been commonly ignored or overlooked when student ratings are used to evaluate college courses (Stevens, 1987; Cohen, 1990).
As Stevens contends, "The instructor must learn how to design and implement alternative instructional procedures in response to feedback, which means that a coherent system of instructional resources must be easily available to the instructor. Without such a system, the instructor may be unable to gain the knowledge or support that is necessary to effect change" (1987, p. 37).
One non-threatening way to provide course instructors with specific strategies for instructional improvement is to create opportunities for instructors to share concrete teaching practices that have worked for them. Strategies could be solicited specifically for each item on the evaluation form and a compendium of item-specific strategies could then be sent to all instructors-ideally, at the same time they receive the results of their course evaluations. In this fashion, instructors are not only provided with a descriptive summary of student-evaluation results, but also with a prescriptive summary of specific strategies about what they can do to improve their instructional performance with respect to each item on the evaluation instrument. Moreover, involving course instructors in the development and construction of these strategies serves to
| (a) |
actively engage them in the quest to improve course instruction,
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| (b) |
treats them like responsible agents (rather than passive pawns) in the assessment process.
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| (c) |
increases their sense of ownership or control of the course-evaluation process, and
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As Paul Dressel recommends, "Evaluation done with or for those involved in a program is psychologically more acceptable than evaluation done to them" (1976, p. 5).
The importance of providing specific teaching-improvement feedback to course instructors is underscored by research indicating that
| (a) |
instructors prefer feedback that is specific and focused on concrete teaching behaviors (Murray, 1987; Brinko, 1993), and
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| (b) |
specific feedback is more effective for helping recipients understand their evaluation results and for helping them to improve their instructional performance (Goldschmid, 1978; Brinko, 1993).
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As Wilson (1986) concluded following his extensive research on the effects of teaching consultation for improving instructors' course evaluations: "Items on which the greatest number of faculty showed statistically important change were those for which the suggestions were most concrete, specific and behavioral" (p. 209).
3. To maximize the opportunity for instructors to make instructional improvements while the course is still in progress, it is recommended that course evaluations be administered at midterm to obtain early feedback.
Cohen (1980) conducted a meta-analysis of 17 studies on the effectiveness of student-rating feedback for improving course instruction. He found that receiving feedback from student ratings during the first half of the semester was positively correlated with instructional improvement-as measured by the difference in student ratings received at midterms (before feedback was received), and ratings received at the end of the semester (after midterm feedback had been received). These findings are consistent with those reported by Murray and Smith (1989), who found that graduate teaching assistants in three different disciplines who received instructional feedback at midterms displayed higher pre-to post-test gains in student ratings than a control group of teaching assistants who did not receive midterm feedback.
Course instructors could initiate this early-feedback process if they administer student evaluations at midterm and then compare these results with those obtained at the end of the course-after some instructional change was made in response to students' midterm feedback. Thus, pre-midterm to post-midterm gain in students ratings may be attributed to the particular instructional change that was implemented during the second half of the course. This is an example of the type of "classroom research" which has been strongly endorsed as a legitimate form of faculty scholarship (Boyer, 1991) and which serves to integrate educational research with instructional practice (Cross & Angelo, 1988).
Click here for additional information regarding the timing of evaluation administration and its impact on students.
4. Compare evaluations to those provided for other first-year courses to gain a reference point for interpreting student perceptions of the course.
To ensure a fair basis of comparison and a valid reference point, compare student evaluations of the course with other courses of similar class size (e.g., a first-year course in English composition) because there is some evidence that class size can influence student ratings, with smaller classes tending to receive slightly higher average ratings than larger classes (Cashin, 1988; Feldman, 1984).
Also, depending on whether the course is required or an elective, it should be compared with other first-semester courses that have the same required or elective status, because research suggests that required courses tend to receive lower student ratings than elective courses (Braskamp & Ory, 1994; Marsh & Dunkin, 1992).
5. Surveys or questionnaires could also be used to obtain a different type of comparative perspective on the course-the retrospective perceptions of course alumni.
For example, new-student seminars often emphasizes lifelong-learning and life-adjustment skills, so it might be revealing to assess how upper-division students or college alumni, reflecting back on the course, would respond to the following questions posed to them on a course survey:
| (a) |
Do you view the seminar differently now than you did when you were a first-year student?
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| (b) |
What aspect of the seminar is most memorable or has had the most long-lasting impact on you?
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| (c) |
Do you still use any ideas or skills acquired during the new-student seminar in your educational, professional, or personal life? |
6. Administer the course-evaluation instrument to students before the class begins and re-administer it at course completion to gain perspective on student changes in attitude or behavior between the start and finish of the course.
To assess change in students' attitudes, reported behaviors, or academic-skill performance between the beginning and end of the course, student responses given at the end of the course can be compared to those given before the course begins. This pre/post design can be created by administering an evaluation instrument, or selected items therefrom, to students on the first day of class so these responses can be used as a baseline (pre-test) against which their post-course (post-test) responses can be compared.
To increase the likelihood that pre- to post-course changes in student attitudes or behavior can be attributed to the course, rather than to personal maturation over time or to the college experience in general, students' pre- and post-course responses could be compared with the responses provided by other first-year students (at the beginning and end of the same semester) who do not participate in the course.
Applying a pre/post design to both course participants (treatment group) and non-participants (control group) provides two bases of comparison for assessing course impact:
| (a) |
between-groups (treatment-control) comparison, and |
| (b) |
between points-in-time (longitudinal) comparison |
Adding a control group of non-participants to the pre/post design creates a more powerful research design that can increase the probability and validity of drawing causal (cause-effect) inferences about course impact on student behavior or attitudes because it controls for the confounding effects of pre- to post-course change that may simply occur to maturation. As Pascarella and Terenzini (1991) point out with respect to the impact of college on students,
[In] the simple pretest-postest longitudinal design, the same panel or sample of students is followed over a specified period of time and measured on the same instrument. The students are essentially their own control group, and the difference between mean freshman and senior scores on some measure of interest is used as an estimate of college. Unfortunately, such mean changes may reflect not only the influence of college but also the effects of confounding noncollege influences. The most troublesome confounding variable associated with simple longitudinal panel designs having no control group is that of age or maturation (p. 661).
If the pre/post design includes a sample of first-year students of the same age who do not experience the course, this group they may serve as an effective control for the confounding effects of maturation, thereby creating a viable methodological tool for assessing the potential causal influence of a first-year course on student outcomes.
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