9' *l^Lr+ *> V.^ /fi i\ %,/ •«*S\\.. ** o -»bf ."X ^ '-^.^ oV^ K- ~^& 4 * v % *°^ "life ' ^°<* o 4- VV °+ •"»•.•* aO' V *.Vo« <^ a0 V ••^'* "> < • • • •• .**V ^\ .cr '♦. o • ••" * •?."?** a * ^ % , % «e. fc- "- '* ^v &. •v, "bv* .^jfl^'- "W --aia: *bf :jfl^'. ^o< «^^»: ^f ^°^ ^-v -His"; ^^ t ^ ^°/^<>- y*iiEv\ co*.jaji>o ^4Hk:\ /. fa cell on * i fiterveriiipi / /: _ : / _ _ t , + I t -_ .— r- ^^s«._ _ r _ ^ .. ys*. t s r y s.? / s J. s f / - - - - -- ee :EEr :=; eee: ;e: eeee ;e; eeee e; ee i I t 1 ......_. f ■ : It : : |: :t J |_ 1 1 .. 1 1 1 _ 1 _ _ 1 .. _ _ 1 L 1 . _ t _ .].t _t i _ _ r^ ^\ ^ Days Recording period: j/ocrt 1 to IUL.TI&, 50 Figure 4.— Attendance chart for hypothetical 6-month period with significant events indicated. 14 absenteeism policy statement. Then, ensure that the workers know exactly what these sanctions are and how they accrue. This has two purposes: first, it will help keep dissent down if the sanctions are applied, and second, it will inform workers as to what behaviors are not acceptable and the sanctions that will follow them. The latter may help reduce absenteeism by allowing miners to make an informed decision about the consequences of absenteeism. Premature use of negative sanctions can cause counter- productive behaviors. For example, workers who experience negative sanctions for absenteeism might be more prone to things like vandalism, sabotage, or slower work habits. Nicholson's (36) study suggests the increased use of negative sanctions for absenteeism may cause employees to find ways to circumvent the disciplinary system, leaving the overall rate of attendance unchanged. Just as it is important to avoid delivering sanctions too soon, it is also important that there be no delay between when a worker meets the criterion for disciplinary action and the administration of the negative sanction. For punishment to be effective it should be given out consistently and immediately after the transgressive behaviors. In order to be most effective, negative sanctions should be used only at times specified in the absence control policy, and used in a fair and consistent manner (for all occasions and for all workers). It is hoped that measures in an attendance promotion program will reduce the need to apply negative sanctions. In summary, this step is a prerequisite. It should be done even if there are currently no major absenteeism problems. Workers will know what is expected and should problems arise management will have recourse to act in a remediative manner. The policy statement should be precise and understandable. All workers should periodically be made aware of it. Specifi- cally, this policy statement should explain what types of absences are excusable and not excusable, procedures for reporting off, and consequences for violating the rules. Espe- cially during the initial phases, the absenteeism program is likely to undergo some changes as rules are added, deleted, or modified. Therefore, this stage should be viewed as a continu- ing process. In summary, it is recommended that the absence control program stage of stating the goals and absenteeism policy should include the following characteristics: • Involve supervisors and labor by utilizing a committee. • Goals should be beneficial to both the company and the employee. • Goal statements should include the reasons why good attendance is important (e.g., job security, reducing labor costs, safety, planning work, etc.). • The goal should be reasonably attainable to help ensure success. • State the specific level of attendance that has been targeted as the goal. DEVELOP AND IMPLEMENT ATTENDANCE PROMOTION PROGRAM The development and implementation of an attendance plan is the core stage. In order to engender a high level of support and acceptance for the program, it should attempt positive interventions before negative ones, and should inter- vene only to the extent necessary. Beyond this, it is difficult to formulate recommendations that have widespread applicabil- ity. In order to specify the particular details of a program for a specific mine site, one must take into consideration other characteristics of the company and the mine workforce. Several specific strategies for improving attendance were reviewed in the first half of this report. Depending on what the major causes of the absenteeism at a particular mine are, some of these strategies will be more effective than others. However, two of these strategies appear to be advisable for almost any mine experiencing high absenteeism because of low attendance motivation. These strategies are (1) supervisory interventions and (2) incentive programs. The components of each of these two strategies are presented. Supervisory Intervention Three major things immediate supervisors can do to help eliminate aberrant absenteeism are (1) publicly chart atten- dance, (2) treat absent workers in a just and reasonable manner, and (3) monitor and refer employees whose poor attendance may reflect off-the-job problems. The supervisor is the first line of defense against problem absenteeism. In order to perform these measures correctly, the supervisor should be given training on procedures for reducing absenteeism and should be given feedback on dealing with the employees. Giving a supervisor feedback requires periodic monitoring of the supervisor's behavior concerned with carry- ing out the three approaches to supervisory intervention. Publicly Chart Attendance A crew supervisor can be shown how to fill out one of the blank charts described in stage one. These charts should be filled out daily and publicly posted for the crew to see. Charts make it easier for individuals to see where they are with respect to company goals and policies. As previously mentioned, Miller (57) found that publicly posting each employee's atten- dance record significantly reduced absenteeism from 14 to 5.7 pet. Using this technique should be seen as a method of communicating information with the employees. The supervi- sors should refrain from making disparaging remarks about absences and use the graphic presentation only to help the workers see what is going on with respect to their absences. Figure 5 shows a record that can be very easy for a supervisor to fill out on a daily basis. The supervisor simply puts a mark across from the name of the employee on days worked. Alternatively, one might want to chart absences, i.e., the opposite of attendance. Figure 6 (based on absences) repre- sents a different method of portraying the data on which figure 5 is based. Because days of absence are much less numerous than days of attendance, individuals' absence patterns and frequencies are somewhat easier to see in figure 6 than in figure 5. Workers need to be informed about the nature of these charts. It should be made clear that these charts are not indexes of unexcused absenteeism. They are simply devices for looking at the patterns of attendance at the mine. The charts may help workers to realize where they are with respect to goals or positive or negative sanctions. These charts represent a different (less refined) level of analysis than the records kept by the mine office. For example, management records may categorize absences according to various reasons, while the supervisor is mainly interested in a count of people on the job. While more than 1 month may be displayed at a time, each chart produced by a supervisor should probably contain about 1 month's attendance data. Supervisors must consis- tently record attendance each day on the public chart. It takes 15 Daily attendance record H s s s s s s s s U <^nrr\y LO . X X X X X X X X X X X X X X X X X X X X 0^l C . X JLiyrxxLcL, W . X Idqss-^clQs Co . X X X X vorri, L/C . 1 2 3 4 5 6 7 8 9 1 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 20 21 22 23 24 25 26 27 28 29 30 31 Month: Qgyn^^cca^ 19 85 Figure 6.— Same chart as figure 5, only with absences rather than attendance indicated. 17 only a few minutes, at most, for the supervisor to place a check or other mark in the appropriate box on the tally. This is one of the easiest interventions, involving only minor changes to existing procedures. It can also enhance the effectiveness of the other interventions. Therefore, it is one of the first things to consider in an attendance promotion program. Treating Employees Reasonably Supervisors should not attempt to punish the worker by word or deed. Every negative sanction should already be clearly stated in the policy statement from stage two. Attempts by supervisors to deliver punishments outside of the formal sanctions in this policy can have strong negative consequences and might lead to a more intractable absenteeism problem. However, communicating policy to the worker can be impor- tant. Supervisors must know how to warn of impending negative sanctions without the warning itself seeming like a punishment. One way to do this is to incorporate the warning into an expression of concern for the worker's welfare. This is a tricky point. The supervisor could appear to be threatening the employee when it is important that the supervisor be seen as giving information to help the employee do well at that mine. It is important, for the success of the attendance promotion program, that supervisors be properly trained as to how and when to give this sort of informative feedback. A supervisor who makes value judgments about a work- er's morals or personality is less likely to communicate as effectively as one who clearly states the consequences of the worker's behavior in a factual manner. A statement such as, "What is wrong with you? You have got to show up for work or you are going to lose your job, buddy" is loaded with negative meanings. It is actually a form of punishment, which is likely to cause a number of undesired reactions. A more emotionally neutral factual statement can communicate the same information and have a better effect e.g., "John, I am concerned about your attendance because the company rules only allow one more day of unexcused absence. I'd hate to lose you because you are a good worker, but I know that manage- ment strictly enforces the absenteeism policy. So make sure you don't miss any more work." This type of emotionally neutral informative feedback, if actually true, can be a step in the direction of clear information without alienating a worker. When the worker returns after an absence, the supervisor should first welcome the person back. Informative feedback should not be given until later at a time when the employee will be more receptive to this type of communication. Advise supervisors to give feedback before a negative sanction is applied, but not when the person first returns to work and not in the potentially embarrassing presence of fellow crew members. Monitor and Refer Employees For Problems Many times, a supervisor is confronted with a relatively small number of habitually absent miners. Habitual absentees are apt to be experiencing some type of off-the-job problems. Their absenteeism may be the result of alcoholism, drug abuse, emotional distress, or family related problems. In such cases, it may be helpful to both the employer and the employee if the individual gets appropriate counseling or some other type of assistance to help cope with the problem. It is important that persons with certain types of prob- lems, (e.g., alcoholism), be helped before their problem progresses to the point of being irreversible. Working daily with the employee, the supervisor is in a good position to spot employees with off-the-job problems affecting their work. Therefore, the immediate supervisor may be in the best position to initially refer employees for help. However, in order for supervisors to serve this function effectively, it is important that they receive appropriate training. One needs to avoid either (1) neglecting those who could be helped by referrals (and these people may often deny their problems) or (2) sending people for help who do not need it. Many agencies, offering EAP services, will provide training workshops on how to identify and refer employees with problems. See Campbell (7) and Goodman (//) for more information about employee assistance programs for coal miners. Summary Supervisors have a primary role because they work directly with the miners and because they are involved in virtually any intervention. Supervisors may need some training and feedback in order to properly carry out these recommendations. Recommendations for Publicly Charting Attendance: • Charts should be filled out daily. • Publicly post charts where the crew can see them. • Make it easy for the supervisor to fill out the chart. • Inform the miners that the charts are not to show unexcused absences, but to show how well they are doing. • A month's worth of data is an appropriate time frame for each chart. Recommendations for Giving Reasonable Feedback: • Set the tone i.e., why attendance is important. • Communicate honestly avoiding value judgments. • Do not add punishments to the ones present in absen- teeism policy. • When the worker returns after an absence the supervi- sor should first welcome the employee back. • Remind employees of impending negative sanctions before the sanctions are applied. • Advise workers with attendance problems in private not in front of fellow workers. Referring employees with personal problems Some miners are frequently absent because of personal problems that are unrelated to the job. In such cases, it may help both employee and employer if these miners receive counseling or other assistance. Many agencies offer training for supervisors on how to identify employees with personal problems and how to motivate them to seek appropriate help. Positive Incentives If a problem still exists, as indicated by the ongoing attendance recording activity, the next step in the attendance promotion program is to implement a positive incentive sys- tem. There are a few things to remember about a positive incentive program. First, a criterion for success should be established. Workers need to have specific information on what will earn them the reward. It is in the best interest of the company and the worker to not make this criterion too difficult. For example, if workers are encouraged to attend work when they are actually sick, they may become more ill or help spread the illness among the healthy part of the work force. Moreover, making the criterion for success too high will cause the system to be less effective. Positive incentive programs require careful planning. Pos- itive incentive programs can be easy to implement and effec- tive, but if they are not planned and used correctly they will fail and could even cause other problems to arise. See Goodman (72) for a discussion of common inadequacies in the design of incentive plans for miners. 18 The following example of a positive incentive system used by a mine to increase safety illustrates some problems that may arise. A mine provided expensive awards to each member of a crew if no one in the crew suffered a lost time accident for a year. As a result, for the first 6 months there was a reduction in accidents. However, the rate of accidents increased sharply during the second 6 months. Why might something like this occur? The first part of the year the whole crew might have been more vigilant and more inclined to watch out for each other. But as the year went on, it was inevitable that a few accidents were bound to occur. After an accident occurred to anyone on a crew, the opportu- nity to earn the reward was removed for the entire crew. As the year progressed more and more crews became eliminated from the available rewards. Thus, the overall impact the rewards had on motivating safe behavior dwindled to almost nothing by the end of the first 6 months. It was not because positive incentives did not work, but because the system was structured so that over time the rewards were no longer available to the majority of the workforce. Here are some suggestions to consider when designing a positive incentive program for attendance. Size and Timing of Rewards Most research has shown that small rewards given fre- quently have more effect than large rewards given after a long period of time (Malott (30), Morse (33), Sulzer-Azaroff (48)). This suggests that giving a small reward, like a sticker or five dollars, every 2 months for not missing more than 1 day is better than giving a watch or 50 dollars for perfect attendance over a year. In a positive incentive program, the criterion for success should be within reach and the rewards given promptly. For example, if perfect attendance is required for 6 months then this will have no effect on a person who misses work the second day of the program. Furthermore, this program will only impact the few workers with good attendance and not the general population of miners. A better program will have an effect on a wider range of employees. A good way to administer a positive incentive system is by granting a reward or privilege each month for last month's attendance. This short time span increases a worker's oppor- tunities to succeed. It encourages good attendance at the start of each new month. The rewards or privileges will work best if they are considered small tokens of appreciation, that is, things that workers will not feel too badly about if missed for 1 month. Choosing Criterion When setting the criterion for such a system, establish a baseline by counting days on the job over the preceding month or over the same time period a year ago and then use a slightly higher number of days as the goal. With this criterion, a chart of the total days on the job as seen in figure 7 can be useful. The chart in figure 7 has no data on the particular days when an employee is absent or on the job. The supervisor simply puts an "X" over the workers name if present that day. A criterion line is present to show if a worker achieves the goal for that month. By looking at the chart on any day a worker can see graphically how close he or she is to the goal by the spaces between the last "X" and the criterion line. This chart might be used in conjunction with the days actually attended as described in the discussion of supervisory intervention. In order for an incentive to effectively motivate, it is critical that employees have some amount of control over the performance required to attain the reward. Lawler (27) argues that the more control the employee has over achieving the performance level required to receive the reward, the greater is the reward's motivating power. Therefore, a positive incentive program that makes each employee's reward contingent on the basis of one's own attendance record will be more effective than a program that makes each employee's reward contingent on the basis of the overall crew's level of attendance. 8 Rewarding a high frequency of on the job behavior, with a bonus, may change the employee's focus from meeting a minimum acceptable standard to the goal of exemplary atten- dance. It will also eliminate some of the tricky evaluations of excused versus unexcused absences. Using frequency of atten- dance, with no other criterion, allows for the consistent administration of the program. Choosing Reward The type of reward used in the program will have a large impact on the outcome of the program. There is an important difference between the terms reward and reinforcer. The term reward has been used to indicate something offered or given for some service or attainment. The definition says nothing about the behavior one would be interested in increasing (in this case, attendance). A reward may be given to show gratitude for a job well done with no concern for future behavior. On the other hand, a reinforcer is a stimulus which increases future probability of the behaviors it follows. If a reward is given that does not increase attendance behavior (when it is appropriately applied) then that reward is not a reinforcer. If this happens, one should consider changing the reward to something that will increase the desired behavior. Here are three reasons why a particular reward may not function to reinforce a behavior. (1) Workers, who do not earn the reward, may tease the ones who do causing a loss of desire for the reward. 9 (2) Some miners may view the reward as a meaningless gratuity. A particular worker may just not value a reward even though others do. (3) After a person earns a particular reward, one may be satiated with that object and no longer desire it (e.g., if a person is not a collector, one can only use so many belt buckles). What are some of the rewards that could be used as reinforcers for good attendance? As mentioned before, small reinforcers given frequently have a larger impact on behavior than large reinforcers given infrequently. Here are some of the things that have been offered to employees us incentives for various achievements: stickers, patches, uuii caps, uclt buck- les, penknives, bonuses, public comrncnauuons, written com- mendations, certificates, and stock m i... ^umpany. Although all of these may be used as rewu.cj in positive incentive programs, privileges may serve betici ui lcmiorcers because satiation is not as much of a problem u-s-» a number of belt buckles may accumulate, but eacn wcck the right to ao something in a preferred way is used up,*. How might some of these privileges v>urk? One might, ior example, give an employee paid time on ai preierred times to reinforce good attendance. 10 The question mignt arise, why should one give a worker time off when thai is what the 8 For some purposes (e.g., increasing productive , c .uu[j icvcl incentive plans for miners may be preferable to individual level pi_.._. uu^ Lontingencies m~, be useful where (1) the individual's level of pen. iumuu is hoi amenaolc 10 measurement, (2) good measures of the group's pei c ... .nance are rcauiiy available (e.g., the tonnage produced by face crews during « ..cck), and (,.>> icaniwork is. needed to accomplish the goal, as group incentives nuj iiiitt grouy uonns aooui the importance of productivity and cooperation. 9 Rothlesberger (43) landmark study at Western Eiecu'ic iiiuan-tes iiu» £ .oup norms can mitigate management's performance goals. 10 Indeed, Goodman's (10) study suggests that most miners place a mgn vaiue on paid time off. Most of those interviewed said they would rather have more time off than more money. Total days on the job 19 Attendance days X X X X X X X X X X X X X X X X X X X X H X X X X X X X X X X X X X X X X X X X X X 3 X X X X X X X X X X X X X X X X X X X X « X X X X X X X X X X X X X X X 8 SO <=0 S9 ^2 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X fe ©^ X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X « ■o Criterion "for bonus Workers M onth:£ asrujxx/x. &- Figure 7.— Attendance tally chart for the same period as figure 5. The horizontal line at 21 days indicates the criterion level. 20 program is trying to discourage? The answer is the purpose of the program is not merely to have higher attendance, but to have more predictable attendance so that absences can be planned for and will therefore not be as disruptive. Most managers want attendance patterns that help them achieve a higher level of production, efficiency, and better safety. If it is known in advance that a person will be off the job because of a bonus day, one has a better chance of getting an experienced replacement for the absent miner. One should make provisions to spell off workers who hold critical jobs. In this regard, days when absences are liable to be high anyway (e.g., hunting season, fishing season, or holiday seasons) may be designated as bonus days for exemplary attendance rates at other times of the year. Similarly, extended vacation periods or the right to leave work early, where feasible, can have a positive impact on attendance behavior. Finally, since everyone has different values and needs, miners might choose from a personal incentive menu. Points might be earned and later exchanged for any number of things or privileges according to the miner's own particular desires. Scheduling Reward It is also very important how the rewards are delivered and made available. In order for a reward to be an effective reinforcer of a high rate of attendance, the reward must be given contingent upon that behavior. This means if a bonus is used to increase attendance, then a high rate of attendance must first occur before the bonus is given. To ensure that a particular reward is contingent upon the desired behaviors, one must (1) be explicit in the criterion that will earn the reward and (2) give the reward soon after the behavior of interest. Giving rewards every day as the miner comes to work is not usually possible. But, some sort of indicator of progress toward the reward can be given immediately on a daily basis. This is one of the reasons the charts and graphs described above are of such importance. Every time a person comes to work a tick mark is placed above one's name and the progress toward the attendance goal that will earn a specified reward can be seen. Thus, charts or point systems can be used as small immediate consequences for desired behaviors. This helps to bridge the gap in time between behaviors and the receipt of rewards, and is important even if the time between behavior and reinforcement is only a week. The public display of attendance data can be a valuable aid to miners interested in meeting the established criterion. Anything that can be done to help them see progress toward their goal will be useful. Vacation days must be treated carefully when implement- ing a positive incentive program. Taking these days is certainly the miners' right, but a last-minute decision to take a vacation can be as disruptive as an unanticipated absence. To reduce this problem, a time criterion for vacation days can be established. Vacation days, if approved a specific period of time in advance, might be treated the same as a day on the job for the purposes of the incentive plan. Using this method, a vacation day not approved in advance would not count toward the good attendance bonus, although it would still officially be an excused absence. In a similar vein, an absence due to illness would also be considered to be an excused absence, but would not count toward the attendance bonus. This system would allow for vacation days, while keeping the integrity of the attendance incentive plan intact. After a positive incentive program is in effect it is important to look at the data for changes, which may not have been anticipated. It is impossible to know all of the ramifica- tions a priori for a particular site. In the examples given above, the total number of days of attendance was used as a criterion for earning the reward. Workers might start scheduling their absences around blocks of time so that they maximize the times they can earn the rewards. These unanticipated changes may or may not be useful to the mining operation. Therefore, when a program is established, first allow some time to let any imposed variability in the rates of attendance stabilize. Then, examine the data carefully for unanticipated changes in atten- dance patterns. Adjustments may need to be made to the system if these unanticipated changes are counterproductive. There are several design aspects to consider when incor- porating positive incentives into the absence control program: • Design the system to help you reach the attendance goals you want. Establish a specific criterion of success for earning the reward. • Find a baseline by looking at the data from last month or the same time period a year ago. • A system that rewards small, but significant gains is more likely to succeed than one which attempts to get perfect attendance. • Use small rewards frequently, say on a monthly basis. • In order to provide for some immediate reinforcement, use charts to show daily attendance. • If a reward is given that does not increase attendance then that reward is not a reinforcer for attendance. Change it to something that will increase attendance. • Using unadjusted attendance rates helps remove ambi- guities about the meaning of the numbers. This allows for a more consistent administration of the program. • Some possible rewards that could be used as reinforcers for good attendance include: stickers, patches, ball caps, belt buckles, penknives, public commendations, written commen- dations, certificates, stock in the company, money, and privileges. • Privileges, like paid time off, have the advantage that they must be earned anew each month. RECYCLE The last stage in this program is to recycle. Recycling means to look at what is happening and evaluate the effective- ness of the program. If goals are not being met or if unex- pected counterproductive behaviors have emerged, then changes need to be made. If goals are on target then make sure that the supervisory staff keeps administering the program consistently. This stage of the program is important since it will help the attendance promotion program to evolve to fit particular needs of specific sites. It will also help maintain gains from the intervention. If an absenteeism committee was formed, it should be involved in this recycling and evaluation process. To recycle, take an in-depth look at the entire system, the policies, absenteeism problem, goals, data, and views of workers. Go back to stage one and check each stage to see if anything can be improved. In order to get a more thorough analysis of what is going on with respect to the absenteeism program, one might perform a linear modeling procedure. For details on the specifics of such a procedure see the appendix to this report. In this in-depth review one should look at some critical questions. For example: Have positive changes occurred due to interventions? Can more gains be realized? Is the system being followed by supervisors? If the answer to the last question is yes then reward the supervisors. If the supervisors are not following the system then consider these suggestions. First, if the supervisors are not effective get them to be consistent with the program. For example, set up a system to monitor their behavior and reward 21 the supervisors for staying with the plan. Second, find out if the goals are reasonable. The goals may not be stated in terms of benefit for the organization and the worker. In the latter case, review the goals and make sure they are reasonable. However, if these supervisors, who are not following the attendance program's procedures, are effective in promoting the type of attendance desired then consider incorporating their practices into the formal program. In any case, involve the supervisors in the decisions about the policies. Other questions worth looking at include: Is the data being collected relevant? Does it measure a critical element of the goal? Does the type of data display help one see gains? Is it easy for the supervisors to collect and display data? Is the system working with some populations or crews and not with others? If so, why? Are the rewards in the positive incentive program functioning as reinforcers for high attendance rates? Are rewards being conferred appropriately for the system to work effectively? The system should be recycled on a regular basis. If anomalies start to show up in the daily recording and display then the system should be recycled to head off a possible problem. About 3 months after any change to the system, recycle to see the effects of these efforts. If things are working, one should still recycle through the program on an annual basis. This will ensure gains are maintained and the system is working. For the most effective use of the program, ensure that it is applied consistently and allowed to undergo adaptive changes when it is recycled. The following considerations are recommended as part of the recycling phase of the absence control program: • Recycling means to evaluate the program and correct any problems. • Recycling is important since it helps the program adapt to fit the needs of the particular site, and it helps maintain the gains. • Recycle on a regular basis: 1. If the daily recording of attendance data shows a potential problem. 2. About 3 months after a change to the system. 3. If things are working, recycle through the program on an annual basis. This will ensure that the system is consistently applied and keeps working properly. SUMMARY AND CONCLUSIONS The major determinants of job attendance appear to vary significantly from one group of miners to another. Therefore, before adopting a plan for increasing attendance at a particu- lar mine site, one should try to identify the major reasons for absenteeism at that mine. Three general areas for improving attendance are improving employment procedures; overcoming problems that make employees unable to attend work; and increasing employees' motivation to attend work. With regard to employment procedures, research suggests that employers should attempt to review prospective mine employees' past attendance records before making a hiring decision. It may also be advisable to give prospective mine employees a realistic job preview before offering them employ- ment, especially if they are to work underground. When employees are unable to attend work, it is usually because they are experiencing one of the following: a physical or mental health problem, an injury, or a transportation problem. It has been estimated that from one-half to two- thirds of all absenteeism is due to illnesses. In order to reduce the amount of time lost because of miners illnesses, employers should consider providing miners with information about the importance of good health and how to achieve it. It may also be advisable to offer certain types of medical services (e.g., influenza vaccinations). Mental health problems can often be dealt with successfully by referring troubled employees to an EAR To reduce the amount of time lost because of work- related injuries, one should attempt to find out what is causing them, and then take appropriate countermeasures to prevent them. Employers who wish to increase mine employees' motiva- tion to attend work should consider doing the following: give supervisors training on how they should respond to employee's absences; give miners periodic training on the company's policies concerning absenteeism and how good attendance is necessary for the mine to be operated in a safe and profitable manner; post attendance information; enrich (redesign) jobs to increase employee involvement; provide some remuneration for unused sick leave, and provide incentives (both rewards and negative sanctions) that are based on job attendance. A program for improving miners' attendance was de- scribed that has the following four stages: (1) measure and display data, (2) state goals and absenteeism policy, (3) develop and implement attendance promotion program, and (4) recycle. The first stage, measure and display attendance data, was described as a prerequisite to any of the other stages. It is a continuous process during the entire program. The next stage, stating the goals and the absenteeism policy, is considered important as it informs workers of what is expected and of impending changes. This information can positively impact attendance and can help the rest of the program to succeed. During this stage, goals are set with respect to attendance. The absenteeism policy statement should be precise and understandable. It should explain what absences are excusable, the procedures for reporting off, and the negative sanctions for violating the rules. Developing and implementing an attendance promotion program is the stage where attendance improvement strategies are tried. Two strategies that appear to hold much promise for improving miners' attendance motivation are (1) supervisory interventions and (2) incentive programs. An immediate supervisor can facilitate better attendance by: publicly charting attendance, treating absent workers reasonably, and referring employees who may have off-the-job problems. A positive incentive program needs to have a criterion for success, which is within reach. In establishing this criterion, it helps to review attendance rates during prior time periods. Small rewards given frequently will have more effect than large rewards given after a long period of time. Rewards should be chosen that will reinforce attendance. Charts can be used to help bridge the gap in time between behaviors and the receipt of rewards. The last stage in this program is to recycle. Recycling means to evaluate the effectiveness of the program and make needed changes. The system should be recycled on an annual basis unless changes are made to the system or some irregu- larities in the data suggest a problem is developing. Recycling will ensure that the system is working as planned, the program is tailored to the specific needs of the mine, and gains are maintained. 22 REFERENCES 1. Adkins, J. Absenteeism: A Perspective on the Problem and Suggestions for Solutions. Min. Congr. J. Aug. 1980, pp. 19-23. 2. Allen, S. G. An Empirical Model of Work Attendance. Rev. Econ. Stats, v. 63, 1981, pp. 77-87. 3. Arvey, R., and J. Ivancevich. Punishment in Organizations: A Review, Propositions, and Research Suggestions. Acad. Manage. Rev., 1980, v. 5, No. 4, pp. 123-132. 4. Baum, J. Effectiveness of an Attendance Control Policy in Reducing Chronic Absenteeism. Personnel Psych., v. 31, 1978, pp. 71-81. 5. Breaugh, J. A. Predicting Absenteeism From Prior Absenteeism and Work Attitudes. J. Appl. Psychol., v. 66, 1981, pp. 555-560. 6. Bureau of National Affairs, Inc. (Washington, DC) Job Absence and Turnover Control. Personnel Policies Forum Surv. 132, Oct. 1981, 68 pp. 7. Campbell, N. 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BuMines OFR 73-86, 1986, 234 pp.; NTIS PB 86-277089. 12. Examination of the Design of Bonus Plans in Under- ground Mining. Paper in Human Engineering and Human Resource Management in Mining. Proceedings: Bureau of Mines Technology Transfer Seminar, Pittsburgh, PA, July 7-8, 1987; St. Louis, MO, July 15-16, 1987; and San Francisco, CA, July 21-22, 1987; comp. by Staff, Bureau of Mines. BuMines IC 9145, 1987, pp. 106-116. 13. Goodman, P. S., and E. Lawler. New Forms of Work Organi- zation in the United States. Intl. Labor Org. (Geneva, Switzerland) Monograph 1977, 17 pp.; available from R. H. Peters, Bureau of Mines, Pittsburgh, PA. 14. Harvey, B., J. Rogers, and J. Schultze. Sick Pay Versus Well Pay: An Analysis of the Impact of Rewarding Employees for Being on the Job. Public Personnel Manage. J., v. 12, 1983, pp. 218-224. 15. Hedges, J. N. Absence From Work — A Look at Some National Data. Mon. Labor Rev., v. 96, July 1973, pp. 24-30. 16. Unscheduled Absence From Work — An Update. Mon. Labor Rev., v. 98, Aug. 1975, pp. 36-39. 17 Absence From Work — Measuring the Hours Lost. Mon. Labor Rev., v. 100, Oct. 1977, pp. 16-23. 18. Hejda, S., J. Smola, and J. Masek. Influence of Physiological Vitamin C Allowances on the Health Status of Miners. Rev. Czech. Med., v. 22, No. 2, 1976, pp. 90-97. 19. Kanugo, R. Work Alienation: An Integrative Approach. Prae- ger, 1982, 200 pp. 20. Katz, D., and R. Kahn. The Social Psychology of Organiza- tions. Wiley, 2d ed., 1978, 838 pp. 21. Keller, R. T. Predicting Absenteeism From Prior Absenteeism, Attitudinal Factors, and Nonattitudinal Factors. J. Appl. Psychol., v. 68, No. 3, 1983, pp. 536-540. 22. Kempen, R. Absenteeism and Tardiness. Ch. in Handbook of Organizational Behavior Management, ed. by L. Fredericksen. Wiley, 1982, pp. 15-29. 23. Kempen, R., and R. Hall. Reduction of Industrial Absenteeism: Results of a Behavioral Approach. J. Organizational Behavior Man- age., v. 1, 1977, pp. 89-98. 24. Kopelman, R., G. Schneller, and J. Silver. Parkinson's Law and Absenteeism: A Program to Rein in Sick Leave Costs. Personnel Administrator, v. 26, No. 5, 1981, pp. 57-64. 25. Kuzmits, F. The Impact of a Legalistic Control Policy on Selected Measures of Absenteeism Behavior. Ch. in the Eastern Academy of Management Proceedings of the Eighteenth Annual Meeting, ed. by R. Kilmann and M. Jelinek. Acad. Management (Binghamton, NY), 1981, pp. 65-75. 26. Latham, G., and N. Napier. Practical Ways to Increase Em- ployee Attendance. Ch. in Absenteeism, ed. by P. Goodman and R. Atkin. Jossy-Bass, 1984, pp. 322-359. 27. Lawler, E. Pay and Organizational Development. Addison- Wesley, 1981, 253 pp. 28. Leigh, J. Unionization and Absenteeism. Appl. Economics, v. 16, No. 1, 1984, pp. 147-157. 29. Leon, C. Employed But Not at Work: A Review of Unpaid Absences. Mon. Labor Rev., v. 104, 1981, pp. 18-22. 30. Malott, R. W. Contingency Management, Or How To Get Things To Be The Way They Should. Ch. in An Introduction to Behavior Modification, ed. by R. W. Malott, K. Ritterby, and E. L. C. Wolf. Behaviordelia, Inc., 1977, pp. 6-1—6-17. 31. Miller, L. M. Behavior Management: The New Science of Managing People at Work. Wiley, 1978, 233 pp. 32. Miner, J. B., and J. F. Brewer. The Management of Ineffective Performance. Ch. in Handbook of Industrial and Organizational Psychology, ed. by M. D. Dunnette. Rand McNally, 1976, pp. 995-1029. 33. Morse, W. H. Intermittent Reinforcement. Ch. in Operant Behavior Areas of Research and Application, ed. by W. K. Honig. Prentice-Hall, 1966, pp. 52-108. 34. National Academy of Sciences (Natl. Res. Council). Toward Safer Underground Coal Mines. Natl. Acad. Press, 1982, 190 pp. 35. Neter, J., W. Wasserman, and M. H. Kutner. Applied Linear Regression Models. Irwin, 1983, 547 pp. 36. Nicholson, N. Management Sanctions and Absence Control. Human Relations, 1976, v. 29, No. 2, pp. 139-151. 37. Pedalino, E., and V. Gamboa. Behavior Modification and Absenteeism: Intervention in One Industrial Setting. J. Appl. Psych., v. 59, 1974, pp. 694-698. 38. Peters, R. Activities and Objects Most Commonly Associated With Underground Coal Miners' Back Injuries. Paper in Back Inju- ries. Proceedings: Bureau of Mines Technology Transfer Symposia, Pittsburgh, PA, August 9, 1983, and Reno, NV, August 15, 1983, comp. by J. Peay. BuMines IC 8948, 1983, pp. 23-31. 39. Peters, R. H., and R. F. Randolph. Causes of Coal Miner Absenteeism. BuMines IC 9161, 1987, 45 pp. 40. Peters, R., and L. Schaffer. Field Tests of a Model Health and Safety Program for the Mining Industry. BuMines IC 9075, 1986, 36 pp. 41. Rosen, H., and J. Turner. Effectiveness of Two Orientation Approaches in Hard-Core Unemployed Turnover and Absenteeism. J. Appl. Psych., v. 55, 1971, pp. 296-301. 42. Rosenthal, R. Arbitral Standards for Absentee Discharge. Labor Law J., v. 23, No. 1, 1979, pp. 732-740. 43. Rothlesberger, F. and Dickson, W. Management and the Worker. Harvard Univ. Press, 1939, 348 pp. 44. Scheflen, K., E. Lawler, and J. Hackman. Long Term Impacts of Employee Participation in the Development of Pay Incentive Plans: A Field Experiment Revisited. J. Appl. Psych., v. 55, 1971, pp. 182-186. 45. Seatter, W. More Effective Control of Absenteeism. Personnel, v. 38, 1961, pp. 16-29. 46. Steers, R., and S. Rhodes. Knowledge and Speculation About Absenteeism. Ch. in Absenteeism, ed. by P. Goodman and R. Atkin. Jossy-Bass, 1984, pp. 229-275. 47. Major Influences on Employee Attendance: A Process Model. J. Appl. Psych., v. 63, No. 4, 1978, pp. 391-407. 48. Sulzer-Azaroff, B. Behavioral Approaches to Occupational Health and Safety. Ch. in Handbook of Organizational Behavior Management, ed. by L. W. Fredericksen. Wiley, 1982, pp. 505-538. 23 49. Taylor, D. Absent Workers and Lost Work Hours, May 1978. Mon. Labor Rev., v. 102, Aug. 1979, pp. 49-52. 50. Theodore Barry and Associates. Industrial Engineering Study of Hazards Associated With Underground Coal Mine Production. Vol- ume 1 , Analysis of Underground Hazards and Fatal Accidents (con- tract SOI 10601). BuMines OFR 4(l)-72, 1971, 298 pp.; NTIS PB 207 226. 51. U.S. Bureau of Labor Statistics (Dep. Labor). Supplement to the Current Population Survey, May 1985. Unpublished study, 30 pp., 1986; available upon request from Bruce Kline, U.S. Bureau of Labor Statistics, Washington, DC. 52. Supplement to the Current Population Survey, May 1980. Unpublished study, 27 pp., 1981; available upon request from Bruce Kline, U.S. Bureau of Labor Statistics, Washington, DC. 53. U.S. Mine Safety and Health Administration (Dep. Labor). Injury Experience in Coal Mining. Dep. Labor IR 1182, 1986, 382 pp. 54. Wanous, J. P. Organizational Entry: Recruitment, Selection, and Socialization of Newcomers. Addison- Wesley, 1980, 267 pp. 55. Weisberg, S. Applied Linear Regression. Wiley, 1985, 324 pp. 56. Wexley, K., and W. Nemeroff. Effectiveness of Positive Rein- forcement and Goal Setting as Methods of Management Development. J. Appl. Psych., v. 60, 1975, pp. 446-450. 57. Wilkinson, J. If There's a Cure for Absenteeism, it's Something that Money Can't Buy. Coal Age, Nov. 1976, pp. 79-82. 24 APPENDIX.— LINEAR MODELING: STATISTICAL ATTENDANCE MANAGEMENT TOOL This report has detailed several methods that can be used to improve attendance. Aside from theoretical assurances that these methods ought to work, a manager also needs to have tools for objectively assessing the effectiveness of a specific implementation in a specific mining situation. An obvious first approach might be to implement a new program (e.g., atten- dance bonuses) and compare the attendance rates before and after the change. If the rates after the change are higher, the implementation has been effective. Likewise, if rates are the same or worse, the program has been ineffective. Unfortunately, this simple approach has several potential flaws. First, it doesn't account for other things that may affect attendance. Second, even if all of the things known to affect attendance could be accounted for, there are still random fluctuations over time. This becomes a problem in evaluating a small change in attendance rates. Was the change significant and likely to persist, or was it nothing more than an ordinary random fluctuation? An effective and relatively simple way to address these problems is to use statistical modeling techniques drawn from management science. This approach has been shown to be an effective way to manage a mining crew's productivity (P), 1 and it can be readily adapted to managing attendance. The method is actually simpler than it sounds. It is merely a way to simultaneously assess the relative influences of all of the 1 Italic numbers in parentheses refer to items in the list of references preceding the appendix. factors likely to influence an important outcome (e.g., produc- tion, accidents, or attendance). For instance, figure A-l shows a hypothetical mine's attendance patterns over about 6 months (128 days). As indicated on the graph, several significant events occurred during this period. Hunting season was open during part of the period, and there was also a heavy snowstorm that overlapped part of the hunting season. The management at this mine had instituted a new incentive program designed to improve attendance about 1 month into the period and would like to know how well it worked. As the graph shows, attendance rates under the new plan were sometimes higher and sometimes lower than before. As you might expect, the lowest points were during hunting season and the snowstorm because, as this report has previ- ously shown, off-the-job recreation and transportation prob- lems are two frequent causes of absenteeism. SETTING UP DATA Two types of data are used for this modeling approach: data on inputs and outputs. In this case, the output data is simply the number of miners working on a given day. The inputs are factors that are expected to affect overall atten- dance. The choice of data to include as inputs should be guided in part by the discussion at the beginning of this report concerning motivational and ability factors that have been shown to cause absences. Not only should the input data be DAILY ATTENDANCE 120 110 100 - 70 - 60 KEY Actual Predicted New bonus plan Hunting season J I I L J I I L 10 20 30 40 50 60 70 80 90 100 110 120 DAY Figure A-1.— Daily mine attendance fluctuations for statistical attendance modeling example. 25 plausibly linked to absenteeism, it should also be readily available and easy to measure. Table A-l shows the types of data that can be used and some suggested sources. For the best results, several variables should be selected from the list to measure miners motivation to attend as well as their perceived ability to attend. Table A-1 .—Suggested sources of data for statistical attendance control Variable name Attendance motivation: Overall satisfaction Examples of data sources Supervisors' daily report: Equipment downtime, working conditions. Periodic interviews. Grievances. Amount paid in incentives. Shift rotation schedule. Desire to avoid income loss Local unemployment rate. Mining industry employment. Desire to perform off-the-job Day of the week. activities Closeness to holiday. Hunting season. Job involvement Periodic interviews. Distributive justice Do. Attendance norms Do. Personal work ethic Do. Perceived ability to attend: Transportation problems Storms. Transportation strikes. Health status Miners' age. Availability-use of health programs. Safety Accident records. Supervisors' daily report: safety conditions, roof-rib-floor problems, gas. For this example, only three variables were selected; implementation of an attendance bonus plan, hunting season, and delays owing to machine downtime. All three of these variables are aspects of a miner's motivation to attend work. The attendance bonus should increase the attractiveness of coming to work while excessive equipment downtime has been shown to be a common source of frustration that reduces the attractiveness of work. Hunting is a popular activity in many mine communities and reduces attendance by drawing miners away from work. Hence, our three variables represent a motivational pull towards attendance (bonus), a push away from attendance (delays), and a pull away from attendance (hunting). In real applications, several additional variables should be added, particularly from the list of ability factors (transportation problems, health, and safety). ESTIMATING MODEL The statistical technique used to model the effects of the input variables on attendance is called multiple linear regres- sion. Even a simple regression involves such a large number of calculations that it has only become a practical tool with the advent of modern computers. Fortunately, regression software is readily and inexpensively available for even the smallest popular personal computers. The analysis for this example was performed on a microcomputer using the popular Lotus 1-2-3 2 general purpose spreadsheet software, although doz- ens of other programs would have worked just as well. 2 Reference to specific products does not imply endorsement by the Bureau of Mines. In any regression program, the analyst must define the input variables (sometimes called independent variables) as well as the daily attendance (the dependent variable, in this case). The regression then determines a mathematical function of input variables that best fits their relationship to the dependent variable. Table A-2 shows how the information on inputs and attendance for a 125 -day period at the hypothetical mine were tabulated in preparation for the analysis. The attendance numbers were entered into a column with parallel columns for the three input variables. The input variables for the bonus plan and hunting season take on values of either 1 or 0. This is a numbering system that should be used when dealing with conditions that either exist or do not exist. For instance, there either is a bonus plan (with this condition coded as 1) or there is not (coded as 0). Variables that can take on a range of values, such as minutes of machine delay, should be used directly. Likewise, the bonus variable could be coded as the amount of money offered (if it is a cash bonus system) so that several levels of bonuses could be compared. INTERPRETING RESULTS Among the output from the regression program (fig. A-2) are two types of numbers that are of particular importance. First, the R 2 (R-squared) is a number between and 1 that indicates how strongly the input and output variables are related. An R 2 of 1 indicates a perfect correlation and reflects no detectable correlation. In actual practice, higher numbers for R 2 are better, but it is unlikely that any model based on actual data will approach a value of 1. A good rule of thumb for an attendance model is to attain an R 2 of 0.5 or greater. The model calculated in our example achieved a relatively high R 2 of 0.64 indicating that the input variables accounted for 64 pet of the variation in attendance. The second group of numbers to use from the regression output are the regression coefficients. There will be one of these numbers for each of the input variables and they indicate the independent effects of changes in the input variable on attendance. In the hypothetical example, the coefficients for the bonus plan, hunting season, and machine delays were approximately 11, - 18, and -0.03 respectively. This indicates that the bonus plan actually resulted in an increase in atten- dance of 1 1 miners per day and that the hunting season and machine delays had the expected negative effects on atten- dance. The beneficial impact of the bonus plan might have been obscured by the other fluctuations in attendance if a more simple analysis had been performed. The average attendance for the period after the new plan was instituted had increased by approximately seven miners per day. It is quite obvious that the effect was diminished by the well-known effects of hunting season and machine delays, but the use of the model shows more precisely how large these effects were. The coefficient for the bonus plan indicates that it actually seems to have resulted in improved attendance of 1 1 miners per day. The difference between attendance improvements of 7 or 11 miners may be significant enough to affect a judgement of the value of the bonus plan. This modeling approach can provide the manager with better, more accurate information about attendance — information that can lead to better attendance management decisions. This appendix has only scratched the surface of possible applications of statistical modeling to attendance. For a more complete discussion of applied regression, a number of basic textbooks are available (e.g., 35 and 55). 26 Table A-2.— Data used in attendance modeling example Day Attendance Bonus plan Hunting season Machine delay Day Bonus Hunting Attendance plan season Machine delay 1 91 84 64 96 1 79 2 76 84 65 102 1 68 3 83 103 66 91 1 67 4 90 75 67 100 1 107 5 75 65 68 97 1 101 6 89 83 69 94 1 74 7 92 111 70 86 1 101 8 85 89 71 87 1 69 9 76 103 72 93 1 91 10 88 77 73 69 89 11 79 69 74 79 94 12 82 113 75 82 103 13 79 76 78 102 97 65 82 76 77 78 79 80 81 83 67 72 85 72 76 69 14 77 80 15 80 66 16 91 72 17 76 100 18 75 120 19 87 111 72 82 83 84 71 114 20 77 116 21 85 74 84 76 98 22 85 77 85 66 119 23 98 65 86 79 97 24 96 73 87 75 116 25 96 105 88 77 117 26 88 75 89 78 95 27 97 105 90 82 100 28 101 76 91 82 107 29 87 93 92 81 71 30 91 104 93 74 100 31 94 78 94 66 71 32 95 87 95 66 103 33 97 74 96 102 1 104 34 88 70 97 89 1 105 35 100 72 98 91 1 87 36 94 113 99 94 1 103 37 88 90 100 102 1 93 38 94 92 65 74 101 91 1 1 93 39 102 92 116 40 88 116 103 92 1 114 41 97 70 104 98 1 84 42 91 85 76 113 105 91 1 1 72 43 106 101 101 44 ... 95 96 111 66 107 83 1 1 113 45 108 86 104 46 99 67 109 95 1 85 47 ... 103 89 77 83 110 89 1 1 77 48 111 86 115 49 97 104 112 95 99 50 102 96 113 87 107 51 102 77 114 84 79 52 89 83 115 98 88 53 93 100 116 97 1 100 54 103 74 117 89 98 55 97 95 118 87 76 56 97 85 119 90 108 57 97 90 120 91 77 58 87 70 121 95 82 59 96 110 122 90 104 60 97 o 69 123 89 119 61 96 o 79 124 83 112 62 98 o 97 125 101 113 63 90 82 27 Average before change: 82.64 Average after change: 89.57 Average difference: 6.94 Regression Output: Constant 84.87452 Std Err of Y Est 5.547504 R Squared 0.637926 No. of Observations 125 Degrees of Freedom 121 X Coefficient(s) Std Err of Coef. 11.01826143 -17.6424 -0.02605 1.341325900 1.327857 0.031116 Figure A-2.— Computer output from regression analysis of example data. 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