Evaluating Training Programs: Kirkpatrick's 4 Levels

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The Kirkpatrick Model of Training Evaluation

Donald Kirkpartick has developed a very popular evaluation model that has been used since the late 1950s by the training community. The focus is on measuring four kinds of outcomes that should result from a highly effective training program.

Kirkpatrick’s model includes four levels or steps of outcome evaluation:

·       Level 1 Evaluation—Reaction

·       Level 2 Evaluation—Learning

·       Level 3 Evaluation—Behavior

·       Level 4 Evaluation—Results

I will discuss each of these steps in some detail, including how to design these evaluations.

Level 1—Reaction

Here your goal is to measure participants’ reactions to the training program. You should measure their reactions immediately after the program. Level one evaluation should not just include reactions toward the overall program (e.g., Did you like the program?); it should also include measurement of participants’ reactions or attitudes toward specific components of the program, such as the instructor, the topics, the presentation style, the schedule, audiovisuals, etc. Furthermore, each of these components can be further broken down into sub-components for evaluation (e.g., you can ask participants to evaluate specific characteristics of the instructor, the presentation, etc.). In short, level one evaluation is far more than just the measurement of overall customer satisfaction.

Learning (Level two outcomes) and transfer of learning (Level three outcomes) are unlikely to occur unless participants have positive attitudes toward the training program. Therefore, it is important to determine participants’ reactions to the training program. Also, positive reactions are important because managers are more likely to eliminate unpopular training programs. Finally, the measurement of specific aspects of the training program can provide important information about what aspects of the training program can be improved in the future.

Level 1 evaluation relies on the measurement of attitudes, usually through the use of a questionnaire. It is important to include closed-ended items (including rating scales) as well as open-ended items on your questionnaire. Here are two open-ended items that I like:

·       In your view, what were the three most important weaknesses of the program?

·       In your view, what were the three most important strengths of the program?

It is important to learn the weaknesses, as well as the strengths, in order to improve a program. Do not be afraid to ask about program weaknesses!

When having participants fill out questionnaires, it is best not to have them put their names on the instruments because of the advantages of anonymity over confidentiality. If they do not put their names on the instruments, you can assure anonymity and they may be more  likely to be more honest in their answers.

The following point applies to all four levels of Kirkpartick’s outcome evaluation, but I will only state it here: Evaluators should establish performance standards on the outcomes, when possible, so that the four steps in the logic of evaluation can be utilized and evaluative judgments can be made. Also, don’t forget Kirkpatrick’s last piece of advice to communicate the results because utilization of evaluation results will not happen without dissemination and communication.

Here are a few advantages of level one evaluation:

·       You will know how the participants felt about the training event.

·       It may point out content areas that trainees felt were missing from the training event.

·       It will tell you how engaged the participants felt by the training event.

·       It can provide information about overall participant reaction as well as participant feedback and evaluation of specific aspects of the training event.

·       Detailed level one evaluation can provide formative evaluation information that can be used to improve future versions of the training program (e.g., you can fix the things the participants disliked about the program and add the things they felt was missing).

Level 2—Learning

Here your goal is to determine what the training program participants learned during the training event. Because the training instructor should have specific learning objectives, one hopes to find clear learning outcomes. Learning outcomes can include changes in knowledge (e.g., What are the key differences between Windows 95 and Windows ME?), skills (Can the participant upload a new operating system to a computer), or attitudes (Have participants’ attitudes toward computers improved?). Some training events will emphasize knowledge, some will emphasize skills, some will emphasize attitudes, and some will emphasize multiple learning outcomes. The evaluation should focus on measuring what was covered in the training event (i.e., the learning objectives).

Level two evaluation should be done immediately after the training event to determine if participants gained the knowledge, skills, or attitudes. A couple of issues here are (a) how shall one measure knowledge, skills, and attitudes, and (b) what research design should be use to demonstrate improvement in level two outcomes?

First, let’s talk about the measurement of level two outcomes. Knowledge is typically measured using already available or instructor constructed achievement tests (i.e., tests designed to measure the degree of learning that has taken place). In the training environment, these tests are usually criterion-referenced. Note that norm-referenced tests are traditional standardized tests that are constructed to maximize individual differences and to allow comparison of individuals to an external norming group. A normal curve often characterizes the performance distribution of the norming group. In contrast, criterion-referenced tests are constructed to determine whether learners have mastered one or more learning objectives and these tests include a cutoff point (pass/fail). The results of criterion-referenced tests often take the form of a negatively skewed curve, where the vast majority of the learners have reached or surpassed the criterion or cut-off point (i.e., the point at which one must reach in order to pass the test) and only a few learners have lower scores. In constructing a criterion-referenced test, you should develop a pool of items potentially measuring the content, have a panel of experts examine the items, pilot test the selected items, and analyze each item for item difficulty (i.e., the percentage of people who answer the item correctly), item discrimination (i.e., the high performers should be more likely to get the item correct than low performers if it is a good item), and distractor effectiveness (are the distractors working well?). Eliminate items with poor performance on difficulty (i.e., items that are too hard or too simple), discrimination (i.e., items that the low/less knowledgeable performers are more likely to get correct than the high/knowledgeable performers), and items whose distractors do not work well (e.g., an item where all incorrect responses are for only one distractor). 

Skills typically require some kind of motor or manual response on the examinee’s part, or some kind of manipulation; therefore, a performance test is used. A performance test is just a test that requires the test taker to create a product or demonstrate a process. Obviously the goal is to determine whether each person can perform the skills they have been taught in the training event. For example, if the learning objective was to learn to make repairs to computers, a performance test would be required to determine whether a person can install a power supply or a computer chip in a computer. If the learning objective was to learn how to make effective public speeches, the participants would need to be evaluated on actual speeches that they give to the group. Some performance elements can be included on  traditional paper-and-pencil tests (e.g., essay writing, drawing skills, etc.). In the training environment, performance tests are likely to be criterion-referenced (i.e., participants’ scores are compared to a cutoff point).

Attitudes are measured with questionnaires similar to the questionnaires described for level one evaluation. You will typically have the participants give their ratings for various items (responding with Strongly Agree, Agree, Neutral, Disagree, or Strongly Disagree or with other rating scales), and you should include some open-ended items to allow participants to respond in their own words (e.g., How do you feel about diversity in the workplace?). 

Second, Kirkpartick also briefly discusses the issue of research design. He suggests that you include a control group in your design when possible, and he briefly mentions using a pretest measure when possible.

To give you a better idea of the design issues here, I will review several experimental research designs. For more information on these designs, go to Johnson/Christensen’s Educational Research and/or read about them in the lectures on the homepage for our textbook (at http://www.coe.usouthal.edu/bset/Faculty/BJohnson/Homepage/Supporting/textbook.htm)

Visual Depiction                  

 of the Design                                 Design Name                       

-------------------------------------------------------------------------

     

          X       O₂               Posttest-only nonequivalent

                   O₄               control group design

-------------------------------------------------------------------------

O₁    X       O₂               One-group pretest-posttest design

-------------------------------------------------------------------------

O₁     X       O₂               Pretest-posttest nonequivalent

----------------                control group design

O₃               O₄

-------------------------------------------------------------------------

R  O₁    X     O₂             Randomized pretest-posttest

R  O₃             O₄               control group design  (Note: this

design has random assignment to

groups)

-------------------------------------------------------------------------

O₁ O₂ O₃ O₄  X  O₅ O₆ O₇ O₈   Interrupted time-series design

-------------------------------------------------------------------------

Here is the basic logic of analysis for each of the designs just listed. The counterfactual, discussed in an earlier lecture, is estimated slightly differently in some of these designs, which means that the comparison may be different from design to design. Generally, you will check each of the following comparisons for practical significance.

·       For the posttest-only nonequivalent control group design you compare the two posttest means (i.e., O₂ with O₄)

·       For the one-group pretest-posttest design you compare the pretest mean with the posttest mean (i.e., O₂ with O₁)

·       For the pretest-posttest nonequivalent control group design you compare the change in the experimental group (O₂ minus O₁) with the change in the control group (O₄ minus O₃)

·       For the randomized pretest-posttest control group design you compare the change in the experimental group (O₂ minus O₁) with the change in the control group (O₄ minus O₃). The word “randomized” in the title of this design means that the participants must be randomly assigned to the groups, which “equates” the groups on extraneous variables.

·       For the interrupted time-series design, you compare the baseline series results (O₁ O₂ O₃ O₄) with the experimental series results (O₅ O₆ O₇ O₈), looking for differences in slope and differences in level of outcome.

Note that the posttest-only nonequivalent control group design is by far the weakest of the designs shown above (because you have no idea what group differences existed before the intervention), and the strongest design is the randomized pretest-posttest control group design because the groups are formed through random assignment (which makes the groups probabilistically equal on all known and unknown extraneous variables).

With the above review of the commonly used research designs, Kirkpartick’s discussion of designs should make a little more sense. Kirkpartick tends to take a very pragmatic stance toward design, claiming that one should use the best design possible, but, at the same time, one should also consider what is cost effective and practical to use in the organization undergoing evaluation. He believes that some data are virtually always better than no data at all. 

Here are few advantages of level two evaluation:

·       Demonstrating participant learning should help trainers in promoting their training program.

·       Knowledge of level two evaluation can help in interpreting the results of level three evaluation (e.g., if level three results do not occur, it may because of workplace factors and not because of any flaw in the training program).

·       Detailed level two evaluation can provide formative evaluation information that can be used to improve future versions of the training program (e.g., you may find certain learning objectives that are not being met).

Level 3—Behavior

Here your goal is to find out if training program participants change their on-the-job-behavior (OJB) as a result of their having attended and participated in the training program. If the behavior change does not occur, you also want to find out why the change did not occur. The level three question is, Did the training have a positive effect on job performance? Level three evaluation specifically involves measuring the transfer of knowledge, skills, and attitudes from the training context to the workplace. 

Remember that level one and level two outcomes are still important because participants generally need to react positively to the training program (level 1 outcome) and they need to learn the material (level 2 outcome) if they are going to be motivated and able to apply what they have learned when they return to their jobs.

Learning is likely to transfer only if the conditions in the work setting are favorable for transfer. In addition, there are obviously many things that trainers can do to increase the likelihood of transfer. In other words, transfer is affected by “training factors” before trainees go back to their workplace as well as “workplace factors” that operate in their workplace when they return. Here are two sets of factors that make transfer more likely to occur:

A. These are some factors in the training program or event that can help facilitate transfer of learning:

·       The training or learning environment or context or culture is made to be similar to the actual work environment or context or culture of the organization (this is called situated learning). Learning that takes place in “authentic” contexts is more likely to by used later.

·       Provide real world examples and actual experience performing and practicing the behaviors.

·       Make sure trainees understand the general principles behind the behaviors (called “transfer through principles”).

·       Explain the importance and applicability of the future on-the-job behaviors (i.e., motivate the trainees)

B. These are some factors in the receiving organization that can help facilitate transfer of learning:

·       The organizational culture and climate support change.

·       The participant’s direct supervisor and others with whom he or she works support and/or facilitate the participant’s new behaviors through direct extrinsic rewards such as help, encouragement, praise, increased freedom and responsibility, pay increases, and recognition.

·       The participant gains intrinsic reinforcement from applying his or her new knowledge, skills, or attitudes (i.e., he or she likes what was learned and enjoys performing the new related behaviors).

·       The participant has the opportunity to use his or her new knowledge or skills on the job.

So how does one design a level three evaluation? Here are Kirkpartick’s recommendations:

1. Use a control group if possible. That is, use the strongest design that is feasible.

2. Allow time for the behavior change to take place.

3. Evaluate both before and after the program if practical. Again, use the strongest design that is feasible.

4. Survey and/or interview one or more of the following: trainees, their immediate

supervisor, their subordinates, and others who often observe their behavior. The more the evidence, the better.

5. Get 100 percent response or a sampling.

6. Repeat the evaluation at appropriate times.

7. Consider cost versus benefits.

Level three is often harder than level one and level two evaluation because behavior changes at the workplace are often harder to measure than reaction and learning directly after the training event. You must give the behavior time to transfer and collect data at the workplace.

Probably the most common design used for level three evaluation is the one-group pretest-posttest design (i.e., get a baseline measure of the behavior you plan on training, train the participants, and then measure the participants’ behavior again after the training). If you are able to include a control group, you will be able to use the pretest-posttest nonequivalent control group design (i.e., in addition to measuring the training participants before and after the training, you also find a set of similar people, who do not undergo training for the control group, and you measure these control group participants’ behavior before and after the training program). Earlier (above) I showed the comparisons you make for the different designs during data analysis.

In the one-group pretest-posttest design the estimate of the counterfactual (i.e., what would have happened to the participants if they had not participated in the training) is the participants’ pretest measure. In the pretest-posttest nonequivalent control group design, the estimate of the counterfactual is the change taking place in the control group. Remember: you want the change in the training group to be greater than the counterfactual change.

Note that it would be really nice to be able to use the randomized pretest-posttest control group design; however, usually, random assignment to the training and nontraining groups will not be feasible.

Kirkpartick also discusses another popular design for measuring transfer of learning (i.e., for measuring level three outcomes). He never labels the approach, but it is formally called the retrospective survey design. He points out that you can survey (using questionnaires or interviews) the training participants, the participants’ supervisors or managers, and the participants’ subordinates. The design is called a “retrospective” design because you are asking the participants (or the others) to think back (i.e., in retrospect) to their behavior before the training program and then compare it to their current level of behavior, and, finally, to decide if the behavior has changed. You should ask for specific examples behavior changes. You can also use the retrospective survey design with the training participants’ managers and subordinates, asking them if the participant’s behavior has changed. The more corroboration you get across the different sources, the stronger the evidence of transfer.

The retrospective survey design is generally is a weaker design than the experimental designs discussed earlier because the actual pretest behavior is not measured directly. However, the retrospective survey can still provide useful and sometimes convincing data. Kirkpatrick speaks highly of the retrospective design, probably because it is so simple to carry out and because it tends to be cost effective (i.e., it doesn’t cost a lot of money to administer questionnaires).  

Here are a few advantages of level three evaluation:

·       Provides measurement of actual behavior on the job, rather than only measuring or demonstrating positive reaction and/or learning. This is important because you want to have actual on-the-job results from the training program.

·       Level three outcomes are required for level four outcomes (i.e., they are the intervening variables or factors that lead to level four outcomes); therefore, it is good news when level three outcomes are found.

·       Most level three outcomes are intrinsically useful, even if level four outcomes (i.e., final organizational or business results) are never fully demonstrated (e.g., it is useful to have managers who are effective listeners and supportive, or employees who know how to do basic work on their computers, or employees who act respectfully toward employees from different ethnic or cultural groups).

·       In many situations, evidence of level one outcomes, level two outcomes, and level three outcomes will be sufficient evidence of the merit and usefulness of a training program. This is especially true when all of these provide evidence of positive results of the training program.

Level 4—Results

Here your goal is to find out if the training program led to final results, especially business results that contribute to the “bottom line” (i.e., business profits). Level four outcomes are not limited return on training investment (ROI). Level four outcomes can include other major results that contribute to the well functioning of an organization. Level four includes any outcome that most people would agree is “good for the business.” Level four outcomes are either changes in financial outcomes (such as positive ROI or increased profits) or changes in variables that should have a relatively direct effect on financial outcomes at some point in the future.

Here are some examples of different kinds of level four outcomes:

·       Improved quality of work.

·       Higher productivity.

·       Reduction in turnover.

·       Reduction in scrap rate (i.e., less wasted resources).

·       Improved quality of work life.

·       Improved human relations (e.g., improved vertical and horizontal communication)

·       Increased sales.

·       Fewer grievances.

·       Lower absenteeism.

·       Higher worker morale.

·       Fewer accidents.

·       Greater job satisfaction.

·       Increased profits.

Here are Kirkpartick’s recommendations for level four evaluation:

1. Use a control group if practical. In other words, use the strongest experimental design that is feasible.

2. Allow time for results to be achieved. In other words, many level four outcomes will take some time to occur.

3. Measure both before and after the program if practical. Again, use the strongest experimental design that is feasible.

4. Repeat the measurement at appropriate times. Repeated measurement (e.g., using the time-series design) can provide data on the long term pattern of results.

5. Consider costs versus benefits. You may not want to perform a level four evaluation if the costs of that evaluation are high in comparison to the potential benefits or impacts of the training program.

Level four evaluation is difficult in the sense that it is quite difficult to establish firm evidence that a training program was the key or only source that produced the level four outcomes. For example, time has to elapse after the training program in order for these outcomes to occur. Other factors may also occur during that time period. Second, it is hard to isolate the effect of the training program because there are usually many additional causal variables operating on the level four outcome variables (i.e., the training event is just one of many potential causes). Level four outcomes are often more distal outcomes, rather than proximal outcomes of a training program. For these reasons, the evidence obtained from level four evaluation is usually weaker than the evidence obtained from lower level evaluations, especially levels one and two which are relatively easy to document.

For an example of distal, level four outcomes (increased productivity and profits) here is a potential outcome line that ends with the level four results:

Program à Reactions à Learning à Behavior à Productivity à Increased profits.

Level four outcomes tend to fall far down outcome lines, which means that many intervening factors must take place in order for the level four outcomes to take place. This means that we should not be overly optimistic in expecting large level four outcomes from  single training programs.

In general, we should try to develop an impact theory to help us to understand the operation of level four outcomes. If you really want a training program to have a positive level four outcome, it is probably wise to make the training program a component of a larger organizational performance program package that is designed to produce level four changes.

A common design for documenting level four outcomes is the interrupted time-series design, although the other experimental designs with control groups are also frequently called for, depending on the kinds of outcomes you want to measure. For example, some data are frequently recorded at regular intervals (sales, turnover, accidents) making these variables easy to measure over time forming time-series data (you just have to get these secondary data). Other level four results will be more difficult to obtain because pre-training data may not be available (e.g., data on worker morale, quality of work life, improved communication). If pre-training data are not routinely recorded, you will have to make sure the data are recorded at least once before the training event is implemented. If the data are recorded multiple times before the training event, the interrupted time-series design may be used. If data are recorded only once before the training event, the one group pretest-posttest design is possible, or, even better, the pretest-posttest nonequivalent control group design may be feasible.

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Related link - http://www.wa.gov/esd/training/toolbox/tg_kirkpatrick.htm

Quiz Links from Psychology

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Guide Notes on Raymond Catell Factor Analysis

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"But psychology is a more tricky field, in which even outstanding authorities have been known to run in circles, 'describing things which everyone knows in language which no one understands."

Essential Points about Raymond Catell

(Structured-Based Systems Theory)

1) With his background in chemistry, Catell hoped that factor analysis would lead psychology to  its own periodic table of the elements.

2) Specification equations - formulas that specify the ways in which traits are weighted in relation to given situations and then combined to predict behavior

3) Person's trait vary from one situation to another which he called trait loading

4) Structure-Based Systems Theory set of traits that guide behavior, but can be modified by complex interactions with the culture and situations.

5) Factor Analysis - technique designed to simplify a complex set of data by accounting for them in terms of underlying factors, usually fewer in number than the original number of variables in the original data set.

R technique - form of factor analysis used to infer underlying source traits in large subject populations.

P technique - form of factor analysis that permits assessment of the unique trait structure of an individual.

6) Structure of Personality

Surface - observable trait that is controlled by an underlying source trait.

Source - underlying characteristic inferred from the intercorrelations among a number of measured variables, or surface traits.

Traits - relatively permanent and broad reaction tendencies that serve as the building blocks of personality; traits initiate and guide behavior.

Ability traits - crystallized intelligence and fluid intelligence

constitutional - traits determined by biology.
environmental - mold - traits determined by experience.
ability - skills that enable individuals to cope effectively with problems posed by the environment.
temperament - innate tendencies to react to the environment in particular ways; includes such variables as the person’s moodiness, excitability, and activity level.

Dynamic traits - ergs (instinct, biological, primary needs) and meta-ergs (sentiment and attitude), characteristics that embrace people’s motives and interests.

Dynamic lattice - organized system of traits within human personality. 

Subsidiation - process involving the interrelatedness of traits within the dynamic lattice or organizational structure of personality; attitudes are dependent on sentiments; sentiments are dependent on ergs. 

7) Three kinds of data for comprehensive sampling, to capture the full range of personality dimensions:

Life data (or L-data), which involves collecting data from the individual’s natural, everyday life behaviors, measuring their characteristic behavior patterns in the real world. This could range from number of traffic accidents or number of parties attended each month, to grade point average in school or number of illnesses or divorces.

Experimental data (or T-data), objective tests,  which involves reactions to standardized experimental situations created in a lab where a subject’s behavior can be objectively observed and measured.

Questionnaire data (or Q-data), self-rating questionnaire, which involves responses based on introspection by the individual about their own behavior and feelings. He found that this kind of direct questioning often measured subtle internal states and viewpoints that might be hard to see or measure in external behavior.

Image source - http://withfriendship.com/images/g/31654/16-Personality-Factors-pic.jpg

8) Developed Tests:  16 Personality Factor Questionnaire for adults, the Adolescent Personality Questionnaire, and the Children’s Personality Questionnaire.

Sixteen Personality Factor Test - factor-analytically derived questionnaire designed to measure the primary or basic underlying traits of personality.

Clinical Analysis Questionnaire - test designed to measure normal and deviant personality traits; includes the 16 PF traits and 12 other psychopathological traits.

9) Three kinds of learning 

1) Classical conditioning - type of learning in which a stimulus that is originally incapable of evoking a response becomes capable of evoking it after continued pairing of this stimulus with one that naturally produces the response.

2) Instrumental conditioning - type of learning in which the presentation of a rewarding or punishing stimulus is made contingent on the occurrence of a response or behavior; also known as operant conditioning.

3) Structured Learning/ integration learning - type of learning in which people utilize their reasoning abilities and value systems to maximize the attainment of long-range goals.

Strengths

• introduced the most sophisticated technique of analyzing personality (factor analysis)
• emphasized group study rather than  study of individuals
• developed syntality - collecting large amount of data from a single subject  or group over a long period of time

Weaknesses

• people's behavior is determined by their group's affiliations
• complicated research technique 
• criticised by some group for his approach of quantifying human attributes

Trivia:

Cattell adhered to a mixture of eugenics and theology, which he eventually named Beyondism and proposed as "a new morality from science". Beyondism is based on the premise that groups, like individuals, evolve based on survival of the fittest.

"genthanasia," in which the former (failing groups) would be "phased out" by the latter (successful groups) through "educational and birth control measures"—that is, by segregating them and preventing their reproduction.

Restrictive Eugenics - program to reduce the birth rate of the mentally handicapped; Cattell advocated this program in the  belief that such individuals are a costly burden to society and slow its evolutionary growth.

Creative Eugenics - program designed to increase the birth rate of more intelligent people in the belief that such individuals will develop sounder ethical values and contributes more to society’s well being. 

Image source http://ecx.images-amazon.com/images/I/418KiM82PkL.jpg

Sources, References and Related Links:

Personality, Delia Limpingco and Geraldine Tria, 3e

Personality Theory and Research, Lawrence Pervin and Oliver John

Theories of Personality, Richard M. Ryckman, 8e 

https://en.wikipedia.org/wiki/Raymond_Cattell

Guide Notes on Hans Eysenck: Three-Factor Theory

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Hans Jürgen Eysenck (/ˈaɪzɛŋk/; 4 March 1916 – 4 September 1997) was apsychologist born in Germany, who spent his professional career in Great Britain. 
He is best remembered for his work on intelligence and personality, though 
he worked in a wide range of areas. At the time of his death, Eysenck was the 
living psychologist most frequently cited in science journals.^[1]

Essential Points about Hans Eysenck

"people are above all else individuals"

Personality determines a person's  unique adjustment to the environment through a more or less stable and enduring organization of: 

• character (will)
• temperament (emotion)
• intellect (cognition)
• physique (bio-physiological make-up) 

1) Humans possess not only consciousness but self-consciousness as well.

2) Humans are able to evaluate their performance and to render reliable reports concerning their attitudes, temperaments, needs, interests and behaviors

3) He emphasized on individual differences and genetic factors of personality, where traits and factors are largely inherited and have strong genetic and biological components

4) He made use of hyphothetico-deductive approach to extract three bipolar factors - extraversion/introversion, neuroticism/stability, psychoticism/superego

5) To be useful personality must predict behavior.

6) Hierarchical Model of Personality

• Type/Super Traits
• Trait Level
• Habitual Responses
• Specific Response Level

Image source - http://www.integratedsociopsychology.net/wpimages/wp26905862_05_1a.jpg

7) Basic Dimensions of Temperament

• Extroversion/Introversion (differences on the cortical arousal level)
• Stability/Instability
• Psychoticism

Image Source - http://www.simplypsychology.org/Eysenck-traits.jpg

8) Eysenck with others developed several Psychometric measures - Maudsley Medical Questionnaire, Eysenck Personality Inventory (EPI), Eysenck Personality Questionnaire (EPQ),  Sensation Seeking Scale (developed in conjunction with Marvin Zuckerman), and Eysenck Personality Profiler (EPP).

9) He also investigated on the relationship between personality and diseases.

10) On Psychopathology and behavior change - Eysenck believes that a person develops neurotic symptoms because of the joint action of a biological system and because of experiences that contribute to the learning of strong emotional reactions to fear-producing stimuli. Majority of neurotic patients have a a high neuroticism and low extraversion scores.

- Criminals and antisocial persons have high neuroticism, high extraversion, and high psychoticism scores

Strengths

• the theory is well substanstiated with empirical data and the use of statistical techniques
• construction of test in assessing normal and abnormal phenomena

Weaknesses

• did not make use of an explicit and independent categorization
• the focus is on biological basis of personality  but no emphasis on its differential impact of various situations on people

Image source - http://image.slidesharecdn.com/eysenckthreepersonalitytraittheory-130312063234-phpapp01/95/eysenck-three-personality-trait-theory-1-638.jpg?cb=1363088032

Sources, References and Related Links:

Personality, Delia Limpingco and Geraldine Tria, 3e

Theories of Personality, Jess Feist and Gregory Feist, 6e

Personality Theory and Research, Lawrence Pervin and Oliver John

https://en.wikipedia.org/wiki/Hans_Eysenck