NCRVE Home | Site Search | Product Search

<< >> Title Contents NCRVE Home

METHODS


The primary purpose of this study was to gain an understanding of how Tech Prep student outcomes were conceptualized (prioritized, grouped, and classified) by stakeholders actively involved in the implementation process. Because of the need to gain the perspectives of practitioners, concept mapping was chosen as the data collection method. Concept mapping is a structured conceptualization and statistical modeling procedure developed by Trochim (1989a). Concept mapping provides a means of articulating and structuring participant stakeholders' ideas in a visual form called--not surprisingly--concept maps.

Structured concept mapping is based on a three-phase model for conceptualizing program theory developed by Trochim and Linton (1986). This model suggests there are three general phases in conceptualizing program theory:

  1. Generating a conceptual domain out of thoughts, ideas, intuitions, theories, and problem statements.

  2. Structuring a conceptual domain by defining or estimating relationships between and among concepts.

  3. Representing the structured set of concepts in a conceptual domain verbally, pictorially, or mathematically.

Researchers have applied the concept mapping process in studies of planning, implementation, and evaluation; in basic and applied research; and in a variety of settings (Trochim, 1989a). Over the past several years, numerous papers and symposia utilizing concept mapping methodology have been presented at the annual meeting of the American Evaluation Association. (See Trochim [1989b] for a special issue of Evaluation and Program Planning on concept mapping.) Already the concept mapping process has been used to identify and conceptualize outcomes for vocational-technical education (Grayson, 1992) and Tech Prep (Roegge, Leach, & Brown, 1992), making it a logical methodology to apply to Tech Prep student outcomes.

Population and Sample

A first step of the concept mapping process is the selection of the participants for the study. Concept mapping studies generally use a purposive sampling method since the process depends on participants' knowledge and understanding of the particular domain or area being researched. Since this study is focused on conceptualizing outcomes for Tech Prep students, we chose to contact Tech Prep consortia affiliated with NCRVE's Urban Schools Network because of their extensive and shared involvement in the planning and implementation of Tech Prep in many of the nation's largest urban centers. The Tech Prep coordinators of the 30 sites involved in the Urban Schools Network in late 1994 and early 1995 were contacted by letter about the study. In addition to these sites, representatives of six sites providing mentors for the Urban Schools Network were invited to participate. Although a few of these would not be considered urban, the mentors who contributed to the study in these sites were persons who had been engaged in assisting Tech Prep planning and implementation in NCRVE's Urban Schools Network sites since its inception in 1992, providing them with a rich perspective on urban Tech Prep programs.

In a letter directed to the coordinators, the purpose of the study was explained, along with the basic requirements and procedures for concept mapping. A nomination form was included with the letter of invitation so that each coordinator could nominate an educator, student, and employer from his or her site who were actively involved and strongly committed to Tech Prep. (See Table 2 for a summary of stakeholder participant affiliations by site.)

Table 2
Summary of Stakeholder Participants by Site

Urban Schools Network Site

Educator
Student
Employer
Nashville, TN
X
X
X
Raleigh, NC
X
X
X
Oklahoma City, OK
X

X
Denver, CO
X
X

Oklahoma City, OK
X
X

St. Paul, MN
X


Milwaukee, WI
X
X
X
Omaha, NE
X
X
X
Washington, DC
X

X
Detroit, MI

X

Seattle, WA
X
X
X
Washington, DC
X
X
X
Houston, TX
X
X
X
Las Cruces, NM
X
X
X
Brooklyn, NY
X
X

Charlotte, NC
X

X
Philadelphia, PA
X

X
New Orleans, LA
X
X

Akron, OH
X
X
X
Indianapolis, IN
X

X
Mentor Sites
Portland, OR

X

X

X
Redwood City, CA
X
X

Austin, TX
X

X
Hamlet, NC
X
X
X
Palatine, IL
X

X
Leonardstown, MD

X
X
Total
24
18
19

After the letters had gone out and follow-up telephone calls had been made, a list of 86 stakeholder participants was assembled from the nominations received. Each person nominated for the study was contacted by mail, and all of the materials that needed to be completed were forwarded. Of all persons nominated, 61 returned the data collection instruments, providing a 72% response rate. These nominated persons represented 20 of the 30 NCRVE Urban Schools Network sites and all six mentor sites invited to participate in the study.

Slightly more educators participated in the study than students or employers, although the sample size for all three of the groups was sufficient. Concept mapping is conducted with a small group of experts who bring disparate, but informed perspectives. Trochim (1989a) reports that the group size for concept mapping typically ranges "from ten to twenty people" (p. 17), although concept maps can be conducted with groups of seventy-five or more. The rationale for keeping the group small, however, is that the primary goal of concept mapping is to obtain a deep understanding about how a particular group conceptualizes whatever complex phenomenon is being investigated. To do this, it is crucial to ensure the cooperation of all the participants in all phases of the concept mapping process, a process that can take each participant as much or more than two hours to complete the rating and sorting exercise. On the other hand, it is important to maintain a large enough sample to ensure disparate perspectives are represented when the concept maps are developed and interpreted. Given these parameters, the sample size for this study is optimal for determining the results for the subgroups as well as the aggregate group of all respondents.

Table 3 provides a profile of the three stakeholder participant groups. Briefly, representation by males and females is nearly equal in the study. There is not as equal a representation of other demographic characteristics (although the findings may be representative of the local consortia sites). The majority of participants are White/Caucasian and affiliated primarily with secondary vocational education. However, looking at the data closely gives a unique profile for each group.

Table 3
Profile of Stakeholder Participants

Stakeholder
Group


Gender

Race/Ethnicity
Primary
Affiliation
Major Responsibilities
Educators
(n=24)
Male 38%
Female 62%
African Amer. 28%
Hispanic 0%
Native Amer. 0%
White/Cauc. 64%
Asian Amer. 4%
UK 4%
Secondary 58%
Postsec. 29%
UK 13%
Vocational 54%

Academic 8%
Admin. 33%
UK 5%

Students
(n=18)
Male 39%
Female 61%
African Amer. 39%
Hispanic 11%
Native Amer. 0%
White/Cauc. 39%
Asian Amer. 0%
UK 11%
Secondary 39%
Postsec. 45%
UK 16%
--
Employers
(n=19)
Male 69%
Female 26%
UK 5%
African Amer. 5%
Hispanic 5%
Native Amer. 0%
White/Cauc. 85%
Asian Amer. 0%
UK 5%
--
Educ. Coor./
Director 42%
Owner/Bus.
Mgr. 32%
Public/CBO
Director 16%
Human Res.
Director 10%

Male 47%
Female 52%
UK 1%
African Amer. 25%
Hispanic 5%
Native Amer. 0%
White/Cauc. 63%
Asian Amer. 1%
UK 6%
Secondary 51%
Postsec. 35%
UK 14%

(Data for educators and students only)
Vocational 56%
Academic 8%
Admin. 32%
UK 4%
(Data for educators only)

Note: UK indicates unknown.

First, the demographic information collected from educators shows that the majority are female, White/Caucasian, and affiliated with secondary vocational education; slightly less than one-third are African American, affiliated with postsecondary education, and engaged in administration. Students, the second stakeholder group, are similar to educators in that most are female; however, the race/ethnicity and educational affiliation of students differ from educators. About one-half of the students are minority, either African American (39%) or Hispanic (11%), and nearly one-half are attending postsecondary education. The third group, employers, is dominated by males and Whites/Caucasians. About one-half of the employer group is comprised of persons working as corporate educational coordinators or human resource directors. Another one-third of the group is composed of independent business owners or business managers, and a smaller proportion is made up of persons working for public or community-based organizations (CBOs).

Instrumentation and Procedures

The materials mailed to participants in the concept mapping activity were developed and pilot tested by this researcher. Often, the generation of ideas for concept mapping is done by the participants themselves. However, sometimes it is not possible to gather the participants for a brainstorming session, so a list of ideas is generated from other sources. For this study, statements were obtained from the literature and related materials (e.g., legislation, policy documents, and instruments). Specifically, the Tech Prep and vocational education literature, legislation, and related documents were reviewed for outcomes statements (e.g., see Bragg, 1992; Hoachlander & Rahn, 1992; Hoachlander, Levesque, & Rahn, 1992; Key, 1994; McCaslin & Headley, 1993; O'Neil, 1976; Oregon Department of Education, n.d.; Oregon Department of Public Instruction, 1993; Pearce, Pease, Copa, & Beck, 1991; Peasley & McCaslin, 1995; Roegge et al., 1992; Secretary's Commission on Achieving Necessary Skills, 1991; Stecher et al., 1995).

An attempt was also made to draw ideas from the education reform literature such as the Project 2061 report published by the American Association for the Advancement of Science in 1989; the Curriculum and Evaluation Standards for School Mathematics also published in 1989; and the Standards Project for English/Literature Arts sponsored by the Center for the Study of Reading at the University of Illinois, the International Reading Association, and the National Council of Teachers of English. Other sources reporting academic outcomes were reviewed as well, including Kulm and Malcom (1991); Steffy (1993); and White (1994). In addition, planning documents and reports submitted by the NCRVE Urban Schools Network sites were reviewed for specific outcomes statements (e.g., NCRVE, 1993).

Pilot Testing the Instruments and Data Collection Procedures

The literature review resulted in the generation of a large number of potential student outcomes that were narrowed to 118 outcomes statements for pilot testing. A draft of the instrument containing 118 statements was distributed to six experts who had extensive knowledge of Tech Prep implementation and/or outcomes assessment. A draft of the instrument titled the "Tech Prep Student Outcomes Rating Form" directed the experts to rate the priority they would give each statement on a scale of 1 for "very low priority" to 5 for "very high priority." The statements were also given separately on index cards, and the experts were asked to sort them into piles that contained similar ideas. Each expert then labeled each pile of cards and recorded it on the "Card Sort Summary Sheet." They then packaged all of the completed instruments together and returned them in a pre-addressed, postage-paid envelope to the University of Illinois site for analysis and interpretation.

After conducting the concept mapping procedure, the experts also provided suggestions for improving the clarity and content of the statements. These suggestions were made verbally and/or in writing. The experts were also asked to help reduce the number of statements to a smaller number because of restrictions of the computer program for no more than 98 statements total. However, although the experts offered valuable comments regarding the content of statements, most did not eliminate statements. Consequently, the number of statements was reduced from 118 to 98 by randomly eliminating 20 statements. A list of the final 98 items contained in the "Tech Prep Student Outcomes Rating Form" is provided in Table 4. (See Appendix B for a list of the 98 outcomes statements categorized according to their predominant location in the literature.)

Table 4
Final List of Tech Prep Student Outcomes

Student Outcome Statements

1. create meaning from messages communicated through listening
2. understand nonverbal communication
3. make academic progress on grade level
4. communicate ideas and emotions through the fine arts (e.g., art, music, dance)
5. demonstrate consistent, respectful, and caring behavior
6. apply basic algebra and geometry to solve technical and work-related problems
7. organize information through the development and use of classification rules and systems
8. recognize the need for lifelong learning to enhance skills and learn new skills
9. adapt to emerging technology and adjust to changing work environments
10. exercise leadership in a variety of situations
11. apply knowledge, skills, and learning strategies to career and life choices
12. get along with a variety of people
13. use appropriate and relevant scientific methods to solve specific problems in real-life situations
14. participate as a member of a team
15. show good working relationships with superiors and coworkers in an occupational role
16. evaluate others' performance and provide feedback
17. serve clients/customers
18. teach others new skills
19. resolve conflict based on divergent interests and perspectives
20. know how to give and take instructions
21. appreciate the diversity of values and cultural differences among people
22. complete secondary school
23. expand own knowledge by making connections with new and unfamiliar knowledge, skills, and experiences
24. communicate ideas by quantifying with whole, rational, real, and/or complex numbers
25. plan and work together in meetings
26. demonstrate oral and verbal proficiency in technical communication (reports, policies, procedures)
27. appreciate own and others' artistic products and performances
28. apply group problem-solving strategies
29. use computers and other electronic technology to gather, organize, manipulate, and present information
30. communicate ideas and information through writing
31. demonstrate self-control and self-discipline
32. earn college credit in high school
33. know employer expectations for job performance
34. know how social, organizational, and technological systems work
35. demonstrate the ability to be adaptable and flexible
36. make a successful transition from education to employment
37. make ethical decisions
38. know own abilities, strengths, and weaknesses
39. maintain good physical, mental, and emotional health
40. apply logical reasoning to develop solutions to complex problems
41. select, use, and maintain appropriate tools, information, materials, and equipment
42. build own self-esteem
43. demonstrate motivation to learn
44. use initiative, imagination, and creativity
45. demonstrate a positive attitude toward school
46. attend school regularly
47. communicate ideas and information through speaking
48. demonstrate an ability to calculate through ratios, proportions, and percentages
49. complete postsecondary school
50. construct meaning through reading for information, literary experience, and to perform a task
51. use critical thinking skills in a variety of situations
52. use models and scales to explain or predict the organization, function, and behavior of objects, materials, and living things
53. use division, multiplication, addition, and subtraction with real numbers, decimals, fractions, integers, roots, and powers
54. achieve and maintain employability in a high-wage job
55. articulate personal values and beliefs as they relate to a particular occupation
56. use scientific methods to acquire information, plan investigations, use scientific tools, and communicate results
57. be critically aware of social issues involved in a field of interest
58. know the history of a particular occupation
59. observe, analyze, and interpret human behaviors to acquire a better understanding of self, families, and other human relationships
60. make a smooth transition from secondary to postsecondary education
61. recognize and apply the democratic principles of justice, equality, responsibility, choice, and freedom
62. use the metric system and convert between metrics and traditional systems
63. recognize the geographic interaction between people and their surroundings and make responsible decisions for the environment
64. design, maintain, and improve systems
65. monitor and correct own performance
66. use goal-relevant activities, rank them, and allocate time for them
67. recognize varying forms of government and address issues of importance to citizens in a democracy
68. be dependable and punctual
69. enter postsecondary programs without remediation
70. prepare and use budgets, make forecasts, keep records, and make adjustments to meet objectives
71. use decision-making processes to make informed choices among options
72. use research tools to locate sources of information and ideas relevant to a specific need or problem
73. show appropriate personal appearance and attitude
74. acquire, store, allocate, and use materials and space efficiently
75. have awareness of and interest in technical careers
76. be honest and demonstrate integrity
77. achieve certification of mastery in an occupation
78. apply the English language correctly (spelling, grammar, structure)
79. apply appropriate safety and environmental measures
80. develop and follow through on individual career plans and goals
81. be loyal to an employer
82. gain experience in all aspects of an industry
83. prepare and follow schedules, and manage time efficiently
84. work under tension or pressure
85. work without close supervision
86. demonstrate awareness of workforce and societal trends
87. understand the relationships between theory and practice in a technical area
88. participate in work-based learning experiences
89. succeed in the transition from secondary or postsecondary education to a 4-year college
90. recognize and apply quality standards
91. understand the norms and values of the work culture
92. understand how technology affects quality of life
93. apply advanced algebra, analytic geometry, and/or calculus to solve technical and work-related problems
94. read and create charts, tables, and graphs
95. prepare for direct participation in the democratic process
96. understand the principles of competition, cooperation, and leadership in a work environment
97. understand and communicate in a second language
98. recognize differences and commonalities in the human experience through productions, performances, or interpretations

Data Collection, Analysis, and Interpretation

Using the nominations made by the NCRVE Urban Schools Network coordinators, letters and data collection instruments were mailed to all the persons nominated. These included the Tech Prep Student Outcomes Rating Form, the 98 index cards containing each student outcome statement, the Card Sort Summary Sheet, and a Background Form. All stakeholder participants were asked to complete the instruments within seven to ten days. Although many of the stakeholders did respond quickly, extensive follow-up was conducted via mail and telephone to obtain responses from the 61 respondents.

To assist with interpretation of the data, preliminary results of the study were presented to a small group of NCRVE Urban Schools Network participants at the March, 1995 meeting of that group in Washington, DC. At that meeting, various concept maps were presented to the participants who were asked to assist in labeling the maps and suggesting alternative interpretations of their meanings. This interpretation session was helpful in determining how the stakeholder participants were likely to interpret the final results. It was also helpful in determining how to represent the concept maps visually and verbally in this concept paper.

As completed concept mapping materials were returned, data from the rating and sort forms were entered into the concept mapping computer program called "The Concept System" (Trochim, 1989a). This program was used to aggregate the sort and rate data provided by the stakeholder participants. It "uses a combination of multidimensional scaling (MDS) and cluster analysis techniques to represent conceptual domains underlying the data" (Caracelli & Riggin, 1994, p. 142). Information from the Background Form was compiled into a spreadsheet program. One map was generated to represent the collective view of all stakeholder participants. Additional maps were generated to represent the perspectives of the three stakeholder groups of educators, students, and employers. Further information about the computation and interpretation of these maps is presented in the next section.


<< >> Title Contents NCRVE Home
NCRVE Home | Site Search | Product Search