Self-Concept And Academic Attitude Among Undergraduates of The Faculty of Agriculture, Forestry and Wildlife Resource Management, University of Calabar

@article{1710869,
      author = {Eni Lawrence Ikpi},
      title = {Self-Concept And Academic Attitude Among Undergraduates of The Faculty of Agriculture, Forestry and Wildlife Resource Management, University of Calabar},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {7},
      pages = {586-593},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710869.pdf},
      abstract = {The study examined Self-Concept and Academic Attitude Among Undergraduates of the Faculty of Agriculture, Forestry and Wildlife Resource Management, University of Calabar. 
Research questions and hypotheses
 Three research questions and corresponding null hypotheses were formulated to guide. 
Research design
The study employs an ex-post facto design, which is a systematic empirical inquiry where the researcher does not have direct control over the independent variables. This design is suitable for examining the effects of variables that have already occurred and cannot be manipulated by the researcher.
Population and Sampling
The population of the study consists of 631 undergraduates in the Faculty of Agriculture, Forestry, and Wildlife Resource Management at the University of Calabar. A sample of 334 respondents was selected using stratified sampling and Taro Yamane's sample size determination formula.
Data Collection Instrument
A researcher-developed questionnaire, the "Self-Concept and Academic Attitude Questionnaire" (SC&AAQ), was used for data collection. The questionnaire's validity was established through expert scrutiny, and its reliability was assessed using Cronbach's alpha, with indices ranging from 0.81 to 0.83.
Data Analysis
The study will employ both descriptive and inferential statistics to analyze the data. Descriptive statistics will include mean and standard deviation, while inferential statistics will involve simple and multiple regression analyses. All hypotheses will be tested at a significance level of 0.05.
Findings 
i.	Physical self-concept significantly predicts academic attitude of undergraduates.
ii.	Social concept significantly predicts academic attitude of undergraduates.
iii.	Economic self-concept significantly predicts academic attitude of undergraduates.
Recommendations
Teachers should help students with poor social self-concept by recommending them for counselling. This disposition will encourage students to open up and share their academic challenges with them for necessary assistance},
      keywords = {Self-Concept, Academic, Attitude & Agriculture},
      month = {January},
  }