University Wisconsin Extension Logic Models

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As the reviews and table show, there have been quite a number of program evaluations over recent years, but the findings are quite variable and the question of whether driver education programs enhance or detract from safety remains highly controversial. Findings to support either side can be found, although the larger number of studies fall on the negative side. No one study design is perfect, and progress will likely develop on a “weight-of-evidence” basis over numerous studies of different types.

There are also many other questions that need to be considered. Do some types of driver education programs lead to better educational and safety outcomes than others? Can we identify which components of driver education programs do and do not work? Do programs meet their learning objectives? How can driver education programs be improved in order to yield safer young drivers? These questions have been left partially or completely unanswered. Methodological weaknesses have plagued past evaluations, and a lack of systematic research progress has held back the development of more effective programs.

Reviews of Driver Education Evaluations

In the last decade or so, quite a number of broad scholarly reviews of driver education evaluation have appeared; seemingly outnumbering the evaluation studies themselves (Christie 2001; Engström et al. 2003; Lonero et al. 1994, 1995; Mayhew and Simpson 1997; Mayhew, Simpson and Robinson 2002; McNeil in press; Nichols 2003; Siegrist 2003; Smiley, Lonero, and Chipman 2004; Woolley 2000). These reviews have usually addressed driver education in conjunction with other forms of driver instruction or graduated driver licensing (GDL). In addition to the broader scholarly/analytic reviews; two “systematic” reviews ( Roberts and Kwan 2004; Vernick et al. 1999 ) , and a single quantitative meta-analysis (Elvik & Vaa, 2004) have appeared.

In the most inclusive and detailed of the earlier reviews, Mayhew and Simpson (1997) set up a score card of findings: 7 studies showed a positive effect, 16 showed no effect, and about 7 others showed a negative safety effect. The authors, consistent with others reviewers, conclude that, on balance, the literature is negative toward driver education effectiveness.

The Elvik and Vaa meta-analysis is potentially the most interesting of all, but unfortunately, the only report on the meta-analysis is a very brief one in the 2004 edition of the Norwegian Handbook of Road Safety Measures, although it is available in English. The combined data of 16 studies indicated that driver education graduates have 1.9% fewer crashes per driver (confidence interval, -3.8%; 0%). The overall difference is borderline statistically significant, as the combined results had the power to detect a significant difference (α=.05) if the result would have been 2% (rather than 1.9%). Per kilometer driven graduates had 4% lower crash rate (6%; -2%). When the combined results were limited to the experimental studies, a different picture emerged. No difference per driver surfaced (+/- 4%). Per kilometer driven, graduates had 11% more crashes (+8%; +15%). The authors conclude that the combined evaluation results do not indicate that driver education reduces crashes over the first couple of years of driving.

All the earlier reviews were addressed to finding whether the evaluation literature suggests that driver education “works.” As part of their methodologically oriented review, Clinton and Lonero (2006a) categorized the earlier reviews and discussed critically the reviews’ conclusions and limitations. There is a strong trend toward systematic review, particularly in the health fields, but the often narrow orientation of this approach to research review seems to limit its applicability to driver education evaluation. The more conventional scholarly reviews vary greatly in scope and quality. Some point to ways to improve driver education, but they all failed to provide much critique of the evaluations, and they do not provide much guidance as to how evaluation research might be improved.

Improving Driver Education Evaluation

A serious lack of statistical and research design sophistication was evident in the early evaluation studies (Nichols 2003). Many of the later studies have used better designs and statistical methods. No perfect study exists. Even the “gold standard” random controlled trials have had weakness in terms of maintaining clean assignment of students to training conditions and clear comparisons between assigned groups.

In the mid-1980s, the OECD assessed the efficacy of road safety education programs and provided strategies for program development, implementation, and evaluation (OECD 1986). This report outlined issues of effectiveness for program planning and implementation, but its primary focus was evaluation. It was suggested that a program should be seen as effective if it does what it was intended to do, and that it is, therefore, very important to be explicit about educational objectives, which should include measures of intermediate effects and not be solely focused on collisions. Not much happened in response to the OECD’s astute directions.

With notable exceptions, such as the DeKalb experiment, Dreyer and Janke’s 1979 experimental study, and Gregersen’s 1994 survey study, most evaluations have failed to look at intermediate outcomes. Lacking information on what the students have or have not learned, directions for program improvement are left unclear. Most existing evaluations leave many unanswered questions regarding:

  • Logical links between curricula and young drivers’ needs;
  • Theories explaining how a program is expected to achieve safer driving;
  • The quality, comprehensibility, and usability of curriculum products;
  • How well and how consistently the instructional processes actually deliver the intended learning; and
  • Which learning and behavioral outcomes result, or fail to result, from the training.

Tracking of learning outcomes is an area where programs could easily build in ongoing evaluation. Knowledge and attitude measures at the beginning and end of the course and at later intervals would help keep contact with graduates and provide feedback for continuous improvement of curriculum and delivery.

Exposure differences are too often ignored in driver education evaluation. In general, simple differences in the amount of driving (exposure to risk) account for much of the differences in crash rates between groups of drivers (Chipman 1982). Qualitative exposure differences, such presence of passengers and trip purposes, also represent different collision risks for young drivers (Preusser 1996; Preusser, Ferguson, and Williams 1997; Williams, 2003).

A key implication of the evaluation literature is that there is no perfect method for evaluation of beginner driver education. A broader and more systematic evaluation approach is needed, which includes various study designs, a wide range of output and outcome measures, and a variety of carefully planned comparisons. Perhaps it is time the “gold standard” title is passed along to comprehensive, systematic evaluation that includes various approaches to developing the whole picture of program effects and improving programs.

The final implication of past evaluations of driver education is how little they have contributed to developing and improving the programs. What has occurred has been very unsystematic; no study seemed to relate to or build upon earlier studies. Even credible positive findings, such as those of Dreyer and Janke (1979), were not been followed up. Scientific knowledge usually develops through systematic replication of research, but that has not yet happened in driver education research. Earlier thinking, including that behind the DeKalb project, seemed to favor a single massive development effort to achieve driver education’s safety goals in a one big step. More recently, however, researchers and theorists have emphasized the importance of incrementally building knowledge gains and other intermediate effects, (Lonero et al. 1994; Woolley 2000), as well as continuously developing and improving programs. Keskinen et al. wrote: “We have decided … that the development of driver education will take place in short steps, with constant evaluations of the results and trying to avoid solutions which are thought to be final” (1998, p. 382).

Support for new and more systematic evaluation research has been made available. Projects are being undertaken at the National Highway Traffic Safety Administration (NHTSA). Under funding from the AAA Foundation for Traffic Safety and the National Center for Injury Prevention and Control of the Centers for Disease Control, Northport Associates and the Traffic Injury Research Foundation are implementing a program of ongoing, related and systematic evaluations of a number of driver education programs during 2007-2009. The program initially focuses on three jurisdictions – Michigan, Oregon and Manitoba, with other sites intended to be added as broader financial support is found for the Large Scale Evaluation of Driver Education (LSEDE).

Summary and Conclusions

Reviewers of the evaluation literature have typically concluded that beginner driver education has yet to demonstrate clear success in improving the safety of new drivers who receive it, or of youth on a population basis. A few studies have shown positive effects, and not only poorly designed studies. Keys to long-term effectiveness of driver education, if it is to make a net contribution to safety, are likely to be astute evaluation and continuous improvement of program content, delivery, organization, regulation and coordination with other healthy influences.

If driver education is to achieve success in its demanding mission, it needs to be more firmly based, on the one hand, in sound research and theory concerning young driver skills, behavior, motivation, and risk, and on the other in the principles of effective behavior change. Program evaluation is critical for more effective program development in the future, but its limitations in the past must be recognized and corrected for a beneficial effect. A more comprehensive approach to evaluation needs to address program theory, products, processes, and management.

Evaluating intermediate outcomes – changes in behavior, knowledge, attitudes, and exposure to risk – is also required. Intermediate measures should continue during the follow-up period if we are to have a clear picture of the effects of the program and the reasons for them. Meeting the ultimate goal of reducing novice drivers’ serious crashes will also require better management the linkage of driver education with parental and community influences, graduated licensing, and other behavioral influences such as incentives and disincentives. The increasing need, vigorous development in public and private programs, clearer guidelines for evaluation, and support for more systematic, ongoing evaluation research all point toward data-driven development of better driver education programs and ultimately improved safety outcomes.

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