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The toughness Research successful response and good adaptation to individual performance setbacks and challenges. In this study, the toughness of the field segmentation, the object is targeted at high school students to study the toughness of high school students learning. Not overlook another variable in the study of high school students learning toughness is the status of student learning, physiological state and the sum of the psychological state that is manifested by the students in the learning process, the toughness of the high school students learning and learning state structure theoretical assumptions and empirical research, and discussed the relationship between the two. Objective: To validate the high school students learning toughness contains positive cognitive, emotional regulation, behavioral characteristics and interpersonal support; learning state contains motivation, mood and attention; explore the relationship between high school students learning toughness and learning state. Method: the preparation of high school students to learn the the toughness questionnaire and high school students learning status questionnaire, select Henan Anyang City, Henan Anyang City, Henan Xinyang City, three middle-high school students for exploratory factor analysis of the data obtained and validation factor analysis, and to explore the relationship between high school students learning toughness and learning state. Analysis: (1) learning toughness and learning status exploratory factor analysis, learning toughness questionnaire freely extracted four factors with theoretical assumptions consistent with the total variance 53.746% the Cronbachα coefficient of .840, split-half reliability .756; been learning status questionnaire can be freely extracted three factors with theoretical assumptions consistent, 52.165% of the total variance the Cronbachα coefficient of .820, split-half reliability of .772, toughness and high school students learning to learn state verify The row factor analysis, get to learn toughness CMIN / DF = 2.236, CFI, TLI, GFI, AGFI maximum value of .932, the minimum is .905, RMSEA 0.055; learning state CMIN / DF = 2.174, CFI TLI, GFI, AGFI maximum value to .943, and the minimum value is .919, RMSEA = 0.056, indicating a good model fit. (2) high school students to learn the relationship between toughness and learning state analysis, the following findings: (1) high school students learning toughness and learning state correlation is extremely significant, the learning state high score and behavioral characteristics related to interpersonal support learning state high correlation learning the state total score and positive cognitive dimension is high correlation but significantly less than the other dimensions, related to to learn toughness Score with attention to high, not a high correlation with the other two dimensions. ② questionnaire data regression analysis showed that the learning state can effectively predict the level of learning toughness students consistent motivation, attention, mood state students solve the problems and difficulties encountered in the study have an important impact. ③ class cadre score significantly higher than non-students in learning toughness and learning state cadres. Conclusion: The questionnaire prepared in line with the requirements of the psychometric, closely related to high school students learning toughness and learning status, class cadre learning toughness and learning state score better than the non-class cadre, suggesting that the day-to-day teaching should pay attention to the cultivation of the class cadre.
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