Home Resumé Ph.D. Studies

A Paper Presented in Partial Fulfillment Of the Requirements for

RM501 Survey of Research Methodology

Capella University, September, 2001

By D.L. Jackson

CRITIQUE OF RESEARCH ARTICLES

 (Note: Changes suggested by the course tutor will be added later in October, 2001.)

Introduction

A problem for novice researchers is that published papers can be intimidating in the sense that their format and vocabulary may be difficult to comprehend. This would seem particularly relevant for social science students whose own work may reflect a more qualitative approach to research problems. Case studies, questionnaires, surveys, and interviews are a more common feature within their learning programs while statistical tests are used, more frequently, for other subject areas. Sadly, in addition to not feeling comfortable with qualitative terminology, they may feel a need to defend their choice of research design should they choose a qualitative format.

However, the author of this paper believes that the option of either format should be open to all subject areas and that researchers should not need to defend their methodology except in terms of defining its relevance. To judge qualitative research as "better" than quantitative is, in this author's opinion, shortsighted. It would be far better for researchers to adopt the most appropriate design and then to do it well. It may be that the issue is not a qualitative vs. quantitative issue but more of a good vs. bad research problem that is, unfortunately, more easily noticed in a qualitative report. It is hoped that the critique of the following article will enable the author to become more familiar with terminology and in distinguishing good from bad research.

Critique of Articles

Article 1. Citation: De Beer, M. & Visser, D., (March, 1998). Comparability of the paper-and-pencil and computerized adaptive versions of the General Scholastic Aptitude Test (GSAT) senior, South African Journal of Psychology, 28(1), 21-28.

Article Summary: A computerized adaptive test was constructed from two existing parallel paper-and-pencil versions of the General Scholastic Aptitude Test (GSAT) Senior. Achievement in the GSAT computerized adaptive test was compared to achievement in one form of the GSAT paper-and-pencil test. In computerized adaptive testing the program tailors each test to the examinee's ability level. Based on a statistical method known as Item Response Theory (IRT), the program interactively selects test items which are at the appropriate difficulty level for the individual being tested, thereby allowing a considerable reduction in test length without forfeiting measurement accuracy. The study was undertaken to investigate the equivalence of results obtained with three versions of the GSAT: A paper-and-pencil version, a standard computerized version, and a computerized adaptive version. The standard computerized GSAT was included to study the effects of computerization apart from adaptive testing. The results indicate that achievement in the paper-and-pencil GSAT and the standard computerized version of the GSAT were not equivalent because the examinees performed better in the paper-and-pencil version of the GSAT than in the standard computerized version of the GSAT. Following this investigation, certain adjustments were made to the CAT version of the GSAT. Firstly, the linear adjustments that gave the best results when compared to the paper-and-pencil version, were incorporated into the program software of the CAT, thereby ensuring that scores obtained with CAT version are equivalent to paper-and-pencil scores.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 2. Citation: Ponsoda, V., Julio, O., Rodriguez, M.S., & Revuelta, J., (1999). The effects of test difficulty manipulation in computerized adaptive testing and self-adapted testing, Applied Measurement in Education, 12(2), 167-185.

Article Summary: One aim of this work is to gather new data and to carry out a new CAT (computerized adapted test) versus SAT (self-adapted test) comparison for estimated ability, standard error of estimated ability, posttest anxiety, and testing time. Previous woks were concerned with an efficiency comparison between SAT and CAT, so that time spent on choice of item difficulty was including in testing time. The testing time variable in this study excludes time spent on difficulty choices, and allows us to compare time invested in answering the item only, under both SAT and CAT conditions. Any differences appearing may be due to the psychological processes involved in responding to the type of test in question. A second aim is to check the effects of the number of items passed on proficiency and anxiety measures. To achieve a different number of items passed, easy and difficult versions of each type of test were needed as no previous manipulation has been carried out in SATs. One of the aims of this work was to study the motivational and psychometric effects of changing test difficulty in SATs an din CATs. The mean number of items passed was higher in the ECAT and ESTA conditions, as compared to DCAT and DSAT, respectively. This means that tests differing in difficulty were obtained, despite procedural differences. The study did not find clear positive SAT effects on ability and state anxiety. Ability and posttest anxiety correlations did not show the expected pattern, as stronger correlations have been found in the two easy conditions, rather than in the CATs. Suggestions for future research were suggested.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 3. Citation: Eggen, T.J.H.M. & Straetmans, G.J.J.M., (October, 2000). Computerized adaptive testing for classifying examinees into three categories, Educational and Psychological Measurement, 60(5), 713-734.

Article Summary: The objective of this study was to explore the possibilities for using computerized adaptive testing in situations in which examinees are to be classified into one of three categories. Testing algorithms with two different statistical computation procedures are described and evaluated. The first computation procedure is based on statistical testing and the other on statistical estimation. Item selection methods based on maximum information considering content and exposure control are considered. The measurement quality of the proposed testing algorithms is reported. The results of the study are that a reduction of at least 22% in the mean number of items can be expected in a computerized adaptive test compared to an existing paper-and-pencil placement test. Furthermore, statistical testing is a promising alternative to statistical estimation. Finally, it is concluded that imposing constraints on the maximum information selection strategy does not negatively affect the quality of the testing algorithms.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 4. Citation: Lloyd, D., & Martin, J.G., (March, 1996). The introduction of computer-based testing on an engineering technology course, Assessment & Evaluation in Higher Education, 21(1), 83-91.

Article Summary: The authors indicate that lecturers are exploring the possibility of using non-traditional methods in some aspects of their work to deal with the increasing number of students along with the concurrent reduction of resources. One possibility is to apply new technology in the assessment of students. This paper presents a controlled comparison between traditional paper-based tests and those using a computer. It concludes that the new technique is acceptable to students and produces results with no deterioration in their validity and has great potential for using staff time in other areas rather than in assessment.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 5. Citation: Desai, M.S., (December, 2000). A field experiment: Instructor-based training vs. computer-based training, Journal of Instructional Psychology, 27(4), 239-244.

Article Summary: This article evaluates the impact of instructor-based training vs computer-based training. One of the major issues of end-user computing is training individuals to use it effectively and so the researchers have looked at key variables such as training support, delivery, techniques, and individual differences that can be manipulated to enhance the training program. The findings indicated that the major differences between IBT and CBT subjects were attributed to the performance, enrollment for the classes, motivation and general attitude toward training method, and satisfaction with the facility.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 6. Citation: Brown, K.G., (Summer, 2001). Using computers to deliver training: Which employees learn and why? Personnel Psychology, 54(2), 271-297.

Article Summary: Note: This paper was adapted from the author's doctoral dissertation. The author states that computer delivered training typically offers learners more control over their instruction. In learner-controlled environments, learner choices regarding practice level, time on task, and attention are expected to be critical determinants of training effectiveness. To examine the effect of learner choices in computer based training, a study was conducted with 78 employees taking an Intranet-delivered training course. Learner choices were assessed and predicted with goal orientation (mastery and performance) and learning self-efficacy, as well as age, education, and computer experience Results indicated considerable variability among trainees in practice level and time on task, which both predict knowledge gain. performance orientation interacted with learning self-efficacy to determine practice level, and mastery orientation had an unexpected negative effect. Implications for the use of computers to deliver training and for future research were discussed.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 7. Citation: Barab, S.A., Young, M.F., & Wang, J., (1999). The effects of navigational and generative activities in hypertext learning on problem solving and comprehension, International Journal of Instructional Media, 26(3), 283-310.

Article Summary: The study examined learning while using a linear text, navigational hypertext, or a generative hypertext system. In one experiment, students were assigned either the linear or navigational hypertexts and expected to learn the information to solve a posed problem, while students in the second experiment learning the information to pass a reading comprehension test. In the third experiment, the effect of carrying out generative activities on problem solving and reading comprehension was examined. The results indicated that the number of generative activities explaining a significant amount of the variance in problem-solving and reading comprehension scores.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 8. Citation: Brownlee, J., Purdie, N., & Boulton-Lewis, G., (April, 2001). Changing epistemological beliefs in pre-service teacher education students, Teaching in Higher Education, 6(2), 247-269.

Article Summary: A teaching program designed to foster the reflection on and development of epistemological beliefs was implements with 29 pre-service graduate teacher education students in Australia. As part of the year long teaching program, students were required to reflect on the content of an educational psychology unit in relation to the epistemological beliefs. The students were interviewed at the beginning and conclusion of the teaching program. The questionnaire used was designed to measure beliefs about knowing. The results of both the quantitative and qualitative data analysis indicated that the group of students engaged in the teaching program experienced more grown in epistemological beliefs. Certainly, the success of the teaching program has implications for how teacher educators develop learning environments.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 9. Citation: Welch, M., (November/December, 2000). Descriptive analysis of team teaching in two elementary classrooms: A formative experimental approach, Remedial & Special Education 21(6), 366-377.

Article Summary: This article reports the results of a descriptive analysis of team teaching in two classrooms. The study employed a relatively new approach to field based research, referred to as formative experiments, to conduct formative and summative evaluation procedures. Results of quantitative and qualitative analyses to assess student outcomes, teaching procedures, and teacher impressions are presented. Descriptive information regarding planning time, type of instructional format of team teaching, student groupings, and follow-up evaluation time was obtained through weekly teacher logs. Focus groups and written teacher comments provided information regarding teacher satisfaction of the team-teaching experience. Performance of typical students and students with learning disabilities on curriculum-based assessment measures given pre-and post team teaching suggest academic gains in reading and spelling for all students.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

This implies that team teaching could have a positive impact on all students' performance in inclusive settings. These results appear to support the study by Self, Benning, Marston, and Magnusson (1991) that also incorporated curriculum-based assessment to measure students reading skills before and after teach teaching. However, it is not possible to discern whether student achievement in this study would have occurred anyway, without team teaching, as no comparison group was utilized. (p. 371)

Article 10. Citation: Reeves, J., (August, 2000). Tracking the links between pupil attainment and development planning, School Leadership & Management, 20(3), 315-333.

Article Summary: The study was part of a more extensive research project commissioned by the Scottish Office Education Department in 1994 called the Improving School Effectiveness Project. The project gathered extensive quantitative and other data on 80 schools and qualitative data on a subset of 24 schools. The research brief for the study was to examine the theme of development planning within the context of the overall project. The article tracks through the development of a set of associations between the value-added attainment results of 12 primary and 12 secondary schools and some characteristics of their approach to development and features of their culture and organization.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 11. Citation: Retalis, S., Psaromiligkos, Y., & Avgeriou, P., (2000). Web engineering: New discipline, new educational challenges, Information Services & Use, 20(2/3), 95-109.

Article Summary: Sophisticated applications are being deployed in increasing numbers on the WWW without having been developed according to appropriate methodologies and quality standards. The main reason for this ad hoc development philosophy is the lack of specialized training/education on the web engineering subject domain. This discipline is new and has recently started getting the attention of researchers, developers, and of the major players in the web-based application development market and training market. There is now justifiable and increasing concern about he manner in which students and lifelong learners are well educated and trained in this new discipline. It's also only one year ago that few universities have started providing courses on this discipline and offer seminars to lifelong learners. The Department of Electrical and computer Engineering at National Technical University of Athens began offering a one semester course called "Internet Publishing". In this paper, an overview of the course, its web-enriched delivery method as well as the quantitative and qualitative results extracted after the completion f the evaluation study in 1999-2000.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Article 12. Citation: Dominguez, P.S., & Ridley, D.R., (March, 2001). Assessing distance education courses and discipline differences in their effectiveness, Journal of Instructional Psychology, 28(1), 15-20.

Article Summary: This study illustrated a new, "parsimonious" (p. 15) model that investigators interested in distance education can use to ask meaningful questions about the relative quality of distance education courses. The approach removed the emphasis from student-level data and placed it upon course-based data. Sample data comparing online and traditional higher education courses covering nine disciplines were reported. These data revealed that preparation for advanced courses was statistically equivalent whether the course prerequisites were online courses or their traditional classroom counterparts. The article further explored the usefulness of this framework for identifying a significant discipline-related difference in the relative effectiveness of online and traditional prerequisites as preparation for advanced courses.

Step 1. The Problem

Step 2. Literature Review

Step 3. Theoretical or Conceptual Framework

Step 4. Research Variables

Step 5. Hypotheses

Step 6. Sampling

Step 7. Research Design

Step 8. Data Collection Methods

Step 9. Data Analysis

Step 10. Interpretation and Discussion of the Findings

Summary

While evaluating these 12 articles, the author was surprised at the lack of clarity within several of the studies. For example, several studies (Desai, 2000; Welch, 2000) did not appear to link their discussion of the results with the original research objectives. Other studies (De Beer, 1998; Eggen, 2000; Lloyd, 1996; Ponsoda, 1999) did not appear to handle the data in a matter conducive to successful statistical analysis. It was, in fact, disappointing to see that several authors (Brownlee, 2001; De Beer, 1998; Desai, 2000; Lloyd, 1996) made broad-based generalizations not based on the results of their own studies. Other studies appeared to excel in certain areas while skipping over the details of the study, such as an adequate description of the design itself. One problematic area appeared to be the sample size which, in many cases (Barab, 1999; De Beer, 1998; Eggen, 2000; Lloyd, 1996; Ponsoda, 1999; Retalis, 2000; Welch, 2000), appeared far to small to have been of any value. As the author mentioned in the introduction to this paper, one purpose was to evaluate both qualitative and quantitative research studies. It was discomforting to see the lack of specific text analysis in the qualitative studies (Barab, 1999; Brownlee, 2001; Retalis, 2000; Welch, 2000). In fact, most of those studies were said to be of a combination "qualitative and quantitative" design as if to provide legitimacy to their own work. Another problematic area concerned the validity and reliability measures of statistic tests. Most authors (De Beer, 1998; Ponsoda, 1999) never mentioned some of the critical terms that would have helped to establish the reliability of the study as a whole.

Bibliography

Barab, S.A., Young, M.F., & Wang, J., (1999). The effects of navigational and generative activities in hypertext learning on problem solving and comprehension, International Journal of Instructional Media, 26(3), 283-310.

Brown, K.G., (Summer, 2001). Using computers to deliver training: Which employees learn and why? Personnel Psychology, 54(2), 271-297.

Brownlee, J., Purdie, N., & Boulton-Lewis, G., (April, 2001). Changing epistemological beliefs in pre-service teacher education students, Teaching in Higher Education, 6(2), 247-269.

De Beer, M. & Visser, D., (March, 1998). Comparability of the paper-and-pencil and computerized adaptive versions of the General Scholastic Aptitude Test (GSAT) senior, South African Journal of Psychology, 28(1), 21-28.

Desai, M.S., (December, 2000). A field experiment: Instructor-based training vs. computer-based training, Journal of Instructional Psychology, 27(4), 239-244.

Dominguez, P.S., & Ridley, D.R., (March, 2001). Assessing distance education courses and discipline differences in their effectiveness, Journal of Instructional Psychology, 28(1), 15-20.

Eggen, T.J.H.M. & Straetmans, G.J.J.M., (October, 2000). Computerized adaptive testing for classifying examinees into three categories, Educational and Psychological Measurement, 60(5), 713-734.

Lloyd, D., & Martin, J.G., (March, 1996). The introduction of computer-based testing on an engineering technology course, Assessment & Evaluation in Higher Education, 21(1), 83-91.

Ponsoda, V., Julio, O., Rodriguez, M.S., & Revuelta, J., (1999). The effects of test difficulty manipulation in computerized adaptive testing and self-adapted testing, Applied Measurement in Education, 12(2), 167-185.

Reeves, J., (August, 2000). Tracking the links between pupil attainment and development planning, School Leadership & Management, 20(3), 315-333.

Retalis, S., Psaromiligkos, Y., & Avgeriou, P., (2000). Web engineering: New discipline, new educational challenges, Information Services & Use, 20(2/3), 95-109.

Welch, M., (November/December, 2000). Descriptive analysis of team teaching in two elementary classrooms: A formative experimental approach, Remedial & Special Education 21(6), 366-377.

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