April 2004 // Volume 42 // Number 2 // Research in Brief // 2RIB2
Use Retrospective Surveys to Obtain Complete Data Sets and Measure Impact in Extension Programs
Abstract
The increasing emphasis on evaluation suggests that Extension
programs should use the most effective tools to measure impact. The project
reported here used a retrospective survey to: compare the retrospective survey
and pre/post survey in the number of incomplete responses and monitor participant
changes in nutrition, food safety, and resource management behaviors in a
Food Stamp Nutrition Education (FSNE) program. Results indicated that the
pre-post survey yielded incomplete data, with 16% of questions unanswered,
while 100% of questions were answered on the retrospective survey. All self-reported
nutrition, food safety, and resource management behaviors significantly increased.
Introduction
Demonstrating impact in Extension programs is necessary to maintain funding and ensure their continuation. Traditionally, pre/post surveys have been conducted to determine changes in participants' knowledge, behavior, attitude, or skills. However, evaluation with a pre/post format has two problems. The first is incomplete data sets, where either pre- or the post- only are filled out. The second problem is referred to as "response-shift bias," where participants overestimate their behaviors on the pre-survey and underestimate their behaviors on the post-survey due to a change in frame of reference.
These problems can be circumvented by using a retrospective survey. All data sets are complete because the individual completes the post/pre survey. Also, Howard, Ralph, Gulanick, Maxwell, Nance, and Gerber (1979) and Pratt, McGuigan, and Katzev (2002) have found that using a retrospective survey decreases the "response-shift bias" that occurs in pre/post surveys. Researchers have adapted retrospective surveys to determine changes in behavior of individuals in drug prevention and leadership development (Rhodes & Jason, 1987; Rohs, 1999); changes in attitudes toward individuals with HIV/AIDS (Riley & Greene, 1993), and changes in knowledge from taking a nutrition course (Rockwell & Kohn, 1989).
In Idaho, the Food Stamp Nutrition Education (FSNE) program, called the Extension Nutrition Program (ENP), switched from having participants complete a traditional EFNEP survey that had a pre-post format, which measured self-reported changes in nutrition, food safety, and resource management behaviors to the retrospective survey. The purpose of the project reported here was to determine if a retrospective survey decreased the number of incomplete responses and provided an effective measure of self-reported changes in nutrition, food safety, and resource management behaviors.
Methodology
Step I: Changing a Pre-Post Survey to a Retrospective Survey
To change the pre-post to a retrospective survey, two questions were asked for each behavior being measured. The first question was a post-test question because the participants were asked about their behavior after the program. The second question, the pre-test question, asked them about their behavior before the program (Rockwell & Kohn, 1989).
Figure 1 is an example of a question from the Retrospective Survey that has 5 choices. The choices were converted to a 5 point scale: 1 = do not do; 2 =seldom; 3 =sometimes; 4= most of the time; 5=always.
Do |
Seldom |
Sometimes |
Most of the time |
Always |
|
---|---|---|---|---|---|
1. After ENP how often do you now plan meals ahead of time? |
|||||
Before ENP how often did you plan meals ahead of time? |
Step II: Training on the Retrospective Survey
All of the Nutrition Advisors, paraprofessionals who conducted the ENP lessons and the surveys, were trained on how to administer the retrospective survey.
Step III: Implementing the Revised Questionnaire and Analyzing the data
The retrospective data analyzed for this study covered all FY2002 participants (N=346) who "graduated" from the program and completed at least six core lessons. The pre-post data analyzed for this study covered all FY2001 participants (N=220).
Data for analyses included: (1) the number of incomplete responses for the FY2001 pre- and post-test and the FY2002 retrospective survey; (2) Frequency of pre- and post-behaviors on the retrospective survey; and (3) Paired t-tests for the 15 retrospective survey questions, where subjects served as their own control. All t-tests were two-tailed, and df=345. A Bonferroni adjustment (Rimm, Hartz, Kalbfleisch, Anderson, & Hoffman, 1980) was made to control the experiment-wide error rate, and the level of significance was set at <0.003 (0.05/15).
Results
Number of Incomplete Responses
As indicated earlier, one of the problems associated with the pre-post survey was the number of incomplete responses that occurred when people completed this survey. Table 1 lists the percentage of incomplete responses of the pre-post survey and the retrospective survey. The percentage of incomplete responses for the pre-survey was 16% and for the post-survey was 15.6%. In contrast, there were 0.0% incomplete responses with participants who completed the retrospective survey.
Percentage of Incomplete Responses |
|||
---|---|---|---|
Survey |
N |
Pre |
Post |
Pre-Post Survey FY2001 |
220 |
16.0% |
15.6% |
Retrospective Survey FY2002 |
346 |
0.0% |
0.0% |
Changes in Behaviors
Results from the retrospective survey in Table 2 indicate that frequency of positive behaviors increased, negative behaviors decreased, and participants significantly improved (p<0.000) in all 15 behaviors.Frequencies for positive behaviors were combined from the "most of the time" and "always" categories, and negative behavior frequencies were combined from the "do not do" and "seldom" categories.
Behavior Frequencies |
Mean Behavior Scores |
|||||
---|---|---|---|---|---|---|
Positive Behaviors |
Pre (Most of the Time + Always) |
Post (Most of the Time + Always) |
Change in frequency |
Pre |
Post |
p |
Resource Management |
||||||
Plan Meals |
19.4 |
64.2 |
44.8 |
2.41 |
3.76 |
0.000 |
Compare prices |
48.6 |
85.5 |
36.9 |
3.22 |
4.38 |
0.000 |
Use grocery list |
38.4 |
77.7 |
39.3 |
2.90 |
4.13 |
0.000 |
Spending plan |
23.4 |
65.0 |
41.6 |
2.35 |
3.86 |
0.000 |
Emergency money |
27.8 |
61.8 |
34.0 |
2.48 |
3.65 |
0.000 |
Nutrition |
||||||
Read labels |
16.8 |
59.6 |
42.8 |
2.10 |
3.67 |
0.000 |
Eat low fat |
22.0 |
60.2 |
38.2 |
2.60 |
3.67 |
0.000 |
Eat vegetables |
22.6 |
70.8 |
48.2 |
2.66 |
3.84 |
0.000 |
Eat fruit |
22.3 |
66.7 |
44.4 |
2.59 |
3.75 |
0.000 |
Food Safety |
||||||
Wash utensils |
83.8 |
97.7 |
13.9 |
4.37 |
4.86 |
0.000 |
Cook meat |
84.1 |
97.7 |
13.6 |
4.46 |
4.91 |
0.000 |
Hand washing |
89.6 |
99.1 |
9.5 |
4.59 |
4.96 |
0.000 |
Exercise |
54.1 |
80.9 |
26.8 |
3.60 |
4.22 |
0.000 |
Negative Behaviors |
Pre (Do not do + seldom) |
Post (Do not do + seldom) |
Change in frequency |
Pre |
Post |
p |
Run out of food |
50.9 |
83.5 |
32.6 |
2.48 |
1.69 |
0.000 |
Thaw meat |
47.1 |
85.5 |
50.6 |
2.60 |
1.56 |
0.000 |
Participant ratings showed that all resource management, nutrition, and food safety mean behaviors significantly (p<0.00) improved. After attending ENP, there was a 34 - 44.8% increase in participants who indicated that they most of the time/always planned meals, compared prices, used grocery lists, used a spending plan, and had emergency money set aside and a 32.7% decrease in the number of participants who said they did not or seldom ran out of food.
Nutrition mean behaviors increased by 38.2 - 48.2%. After attending ENP, participants reported that they most of the time or always read food labels and ate low fat items, fruits and vegetables.
Food safety mean behaviors increased by 9.5 - 13.6%. After attending ENP, participants reported that they most of the time or always washed utensils, cooked meat thoroughly and washed their hands. Also, there was a 50.6% decrease in participants who said that they seldom or did not thaw their meat on the counter.
Discussion
Using a Retrospective Survey
The results from this study indicate that a retrospective survey can be used to measure the behavior changes that occur in participants of an FSNE program. This evaluation tool was tested on a large representative sample (N=346) of individuals graduating from a FSNE program. Results showed the retrospective approach to be successful in a number of ways.
While the pre-post method resulted in approximately 16% incomplete responses in both surveys, there were no incomplete responses for the retrospective survey. Reasons why the number of incomplete responses was higher in the pre-post surveys include:
-
The participant may not have had a clear understanding of what the pre-survey was asking them and therefore chose not to answer the question (Howard, Ralph, Gulanick, Maxwell, Nancy & Gerber, 1979);
-
Post-survey questions may not have been answered because participants may have felt that they already answered these questions (in the pre-test) and;
-
Participants may have felt that the post-survey took up valuable time that could be better spent on their class (Marshak, deSilvva, & Silberstein, 1998).
In contrast, when the retrospective surveys were conducted at the end of the core classes, participants may have had a better understanding of these questions and therefore were more willing to spend the time to make sure the survey was filled out completely.
Participants completing the retrospective survey reported that they significantly changed their resource management, nutrition, and food safety behaviors. Kempson, Palmer-Keenan, Sadani, Ridlen, & Rosato (2002) found that before individuals in low socioeconomic groups can change nutrition and food safety behaviors, they must not be food insecure, i.e., they must have "a ready availability of nutritionally adequate and safe foods and an assured ability to acquire acceptable foods in socially acceptable ways" (Anderson, 1990).
It is estimated that 11% of the households in the U.S. are food insecure, and Idaho is above the national average at 13% (Nord, Andrews, & Carlson, 2002). Therefore, some of the first classes covered in the FSNE program focus on resource management skills.
The resource management behaviors are practiced by a much higher percentage of ENP participants when compared to national statistics, which show that that approximately 50% reported that they plan meals (Food Marketing Institute, 2000), 21% do cost comparison, and 12% buy only those items on their grocery list (Food Marketing Institute, 2002). However, even after the ENP classes on resource management, approximately 17% of participants indicated they ran out of food, which is similar to the national average of 16% of food insecure individuals (Nord, Andrews, & Winicki, 2002).
Seven out of 10 Americans believe eating healthfully is too complicated (Dinkins, 2000). The improvement in eating habits of ENP participants could be related to the classes that focused on teaching participants how to apply this information in order to improve their dietary quality.
Also, the most recent Continuing Survey of Food Intake by Individuals (CSFII) indicates that low-income adults are interested in consuming more fruits and vegetables and less fat (USDA, 1998). It is estimated that the average American consumes 1.5 servings of fruit and 3.3 servings of vegetables daily (USDA, 1998). The ENP nutrition classes were effective in increasing fruit and vegetable intake of ENP participants to 2 - 3 or more servings per day. Research by Marion Neuhoser and colleagues (1999) indicates that many individuals use food labels to decrease their fat intake, and this behavior may have been linked to the increased consumption of low-fat food items.
Rusin, Orosz-Coughlin, & Gerba (1998) found that the kitchen environment was more heavily contaminated with bacteria than the bathroom. The food safety behaviors covered in the ENP focus on sanitation practices in the kitchen. Proper food handling practices can prevent cases of foodborne disease (EPA, USDA, DHHS, 1997).
Schoenborn and Barnes (2002) found that 43% of adults living below the poverty level reported participating in physical activity. This is a little lower than the 50% of ENP participants that reported being physically active.
A limitation of this study was that all of the data collected was self-reported and participants may have reported what they thought we wanted to hear, instead of what really occurred. Even though it is impossible to eliminate all bias in a study, the retrospective survey ensures that individuals evaluate their pre-post behaviors using the same frame of reference.
In this study, a retrospective survey was used to measure changes in behavior after completing six core lessons. However, because many Extension programs consist of a single lesson, the post/pre format could be used to develop a questionnaire that participants complete at the end of the lesson to determine impact of the lesson.
Implications
In summary, the study reported here showed that a retrospective survey has three positive benefits. The first two benefits are that it gets rid of incomplete data sets and wasted data sets that usually occur in pre-post tests. The third benefit is that it is an effective way to measure self-reported behavior change.
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