The Effect Of Measuring Device Measures On Students From Texas A & M Psychology Class

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Introduction Our report focused on students from Texas A&M Psychology class where each was asked to rate their self-esteem level. We have looked at two terms; reliability and validity which were used in the Rosenberg Self- Esteem Scale to help assess individuals’ self-esteem. According to the book Essentials of Statistics of Behavioral Science by authors Frederick J. Gravetter and Larry B. Wallnau (2014) they define reliability as how consistent a study or measuring device is. A measurement is said to be reliable or consistent if the measurement can produce similar results if used again in similar circumstances. Along with that they define validity as an indication of whether the measuring device measures what it claims to. An example of…show more content…
Without reliability and validity it would be very difficult to decide which research should be trusted and which should be completely disregarded. The main goal of this report was to assess reliability and validity through the Rosenberg Self Esteem Scale where participants rated their level of self-esteem from 1-7. A 1 indicated that they “strongly disagree” and a 7 indicating that they “strongly agree” with that trait. Along with this we used Cronbachs alpha to indicate the consistency within the scale. Method Participants at Texas A&M University (N=33) were asked to report their age, which ranged from 19 to 28years of age and their gender. Twenty-five of the participants were female while the remaining eight were males. The average age of participants that was frequently reported was 20 years (SD=1.97). A total of 10 items were recorded (Appendix A, Appendix B, Appendix C, Appendix D, Appendix E, Appendix F, Appendix G, Appendix H, Appendix I, Appendix J). Each student was asked to write which trait they felt related to how they felt about themselves. For this section we used Rosenberg Self-Esteem Scale, where a 7 point Likert scale was used, a 1 indicated that they “strongly disagree” and a 7 indicating that they “strongly agree” with that trait. Throughout this report there were 5 out of the 10 traits that were reverse coded which refers to 'flipping ' the category values (i.e. 1 becomes 7, 2 becomes 6, 3 becomes 5.,etc.).
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