Reliability Degree of Difficulty

Khalifatulloh Fielardh, 2013 Dynamics Of Students Self Regulated Learning Within Encological Multi User Virtual Environment Universitas Pendidikan Indonesia | repository.upi.edu

b. Reliability

Reliability refers to the consistency of test scores-that is, to how consistent they are from one measurement to another Gronlund, 1987:138. To measure this, researcher also used the software that was based on Kuder-Richardson formula 20 KR20, To measure this, researcher also used the software that was based on Kuder-Richardson formula 20 KR20, which is based on the proportion of correct and incorrect responses to each of the items on a test and the variance of the total scores Cohen et al., 2010:236.

c. Degree of Difficulty

Item difficulty or degree difficulty denotes the potential of a question to be answered correctly by the students Gronlund, 1991:123. The simple step to calculate this index is by using this following formula. After the index of discrimination was obtained, researcher interpreted the value by referring to the criterion Arikunto, 2009. d. Index of Discrimination Index of Discrimination or Item discriminability referred to the potential items in question to show differences between the groups of students Cohen et al., 2010:441. In this study the index of discrimination referred to the potential of the SCCP to differentiate students’ based on their understanding of the causal patterns in the ecosystem. The calculation within the software was based on this simple equation Cohen et al., 2010:442. 4. Results of Factor Analysis The factor analysis of MSLQ-B showed the MSLQ-B have a very high reliability Cronbach’s α= 0.918. It could also be reported that majority of test items are valid, some of the item were revised based on Judgment. While for the CAT, the reliability index was also high Cronbach’s α= 0.87. The validity analysis showed that all of the true-or-false questions were having a low significance; on the contrary all of the open-ended test-items are valid, except one. Khalifatulloh Fielardh, 2013 Dynamics Of Students Self Regulated Learning Within Encological Multi User Virtual Environment Universitas Pendidikan Indonesia | repository.upi.edu Some of the items r cal r table were used in this study, some of them were revised based on judgment 0r cal r table see detail in the Appendix A. 5. Research Instruments Table 3.1 presents instruments that are used in this study, along with their data source and the aim of its incorporation in the study. Table 3.1 Instruments of the Study Instrument Data Source Data Type Aim Motivated Strategy for Learning Questionnaire MSLQ-B Students quantitative Measure students’ self- assessment of their SRL Students’ Conceptual Under- standing of Causal Pattern in Ecosystem Achievement Test SCCP-E Students quantitative Measure students’ under-standing of causality. Self-Regulated Learning Worksheet Students qualitative→ quantitative Measure students’ SRL during intervention. Reflective Journal Students qualitative Obtain additional infor- mation of students’ SRL. Interview Teacher and students Obtain additional infor- mation of the intervention. Anecdotal field note Observation Cover information uncovered by other instruments.

a. Motivated Strategy for Learning Biology Questionnaire MSLQ-B