Sign Up Now
Get instant access to over 1 million+ study documents
OR
Already registered? click here to login
By creating your account, you agree to our terms of service, privacy policy and student honor code.
SPSS
Study Description:
List the research question for the study. The researcher is interested in looking at whether or not an appraisal from a person's manager regarding their job performance affects the person's self-esteem as measures on a self-esteem appraisal survey (SEM). According to the vignette while the researcher has managers give either a positive rating or a negative rating; he/she has no pre-experimental hypotheses regarding of how these specific appraisals will affect self-esteem (other than appraisals may affect self-esteem) and therefore the directionality of positive or negative ratings does not appear to be important in terms of the hypothesis.
Ma = Mb (Here the researcher is interested in the change on a measure of self-esteem from pre-to post intervention). Note to Customer: I'm using M. To represent mean here; it would also be correct to use the variance of the groups).
H1: Ma ? Mb
Variables. The independent variable is the feedback from the manager (either positive or negative), an ordinal discrete variable (if we assume a direction from negative to positive, but it is treated as nominal in the analysis). The dependent variable is a score on a measure of self-esteem, particularly the change in the score on the measure of self-esteem (SEM) following the intervention. The dependent variable is a ratio level discreet variable (considering you can score 0 on it). An interesting note is that the IV has two levels (positive feedback or negative feedback, a between subjects variable), but according to the vignette the researcher is not hypothesizing that positive feedback will increase self-esteem or negative feedback will lower it. The researcher is only interested in whether or not feedback changes self-esteem from a pre-to post score.
4. There are 50 individuals...
The overall pre-SEM mean score is was 76.52 with a median of 74 (there were multiple modes). The range was 62-92. The standard deviation (8.12) indicates that scores were adequately distributed and the he skewness (.267; standard error .337) indicates a slight positive skew but that is insignificant (skew/standard error; Creswell, 2012). The post SEM score is a mean of 71.3, the median of 70, and a mode of 70 (basically a normal distribution) with a range of 42-98. The standard deviation is a bit larger meaning more dispersion in the distribution (13.93). There was a slight negative skew although this is not significant (skew = -.169: standard error, .337).
The pre-SEM score for the positive evaluation group indicated a mean of 78.08 and the median of 80 indicating a problem normal distribution. The range was 65 to 92. Standard deviation was 8.67 with skewness .146 (slightly positive but not significant; standard error = .464). The post-mean score for the positive group was 82.24 with a median of 83 and a standard deviation of 8.05 indicating a relatively normal distribution. The range was 69 to 98. Skewness was slightly positive (.233; standard error = .464) but not significant.
As the pre-SEM mean score for the negative group was 74.96 with the median of 74 and a standard deviation of 7.37 indicating a relatively normal distribution and could spread. The range was 62 to 90. Skewness was slightly positive (.257; standard error, .464) but not significant. The post mean for the negative group was 60.36 with the median of 61 and a standard deviation of 9.06. The minimum was 42 to 73 the skewness of -.645 (standard error, .464) indicating nonsignificant negative skew.
In summary the distributions were relatively normal for the overall pre -- and post-SEM scores and four the pre -- and post SEM scores in each specific intervention. Levene's test was not significant…
References
Creswell, J.W. (2012). Educational research (4th ed.). Boston: Pearson Education Inc.
Jackson, S.L. (2012).Research methods and statistics: A critical thinking approach (4th
ed).Belmont, CA: Wadsworth.
Runyon, R.P., Coleman, K.A., & Pittenger, D.J. (2000). Fundamentals of behavioral statistics
2%, female 5.1% CRKEVER - male 13.9%, female 8.6% HEREVER -- male .9%, female, .5% 5 H1: Females are more likely than males to have ever smoked a cigarette. This hypothesis is not supported by the data. In this sample, 34.7% of those who had ever tried a cigarette were male, while 32.3% of those who had ever tried a cigarette were female. H2: Males are more likely than females to have ever used cocaine. This hypothesis
SPSS Output Interpretation SPSS Output Intrpretation SPSS Output Summary-Use the study information and SPSS output file provided to answer the questions listed. Study Description: • Participants were assigned to a control group or a training group. The training group received 1 hour of training every day for one week. During the training, participants learned various techniques for decreasing their stress levels. All participants were given a life stress test to determine their current
standard? This research was permitted by the Human Rights Committee, the institutional assessment board of the Children's Hospital of Pittsburgh. There was conduction of a chart evaluation of three thousand a seven health administration visits to the Children's Hospital during a constant three-month period, from December 1, 2001, to February 28, 2002. The Patient visits were not included when the child's age was less than three months or when the
SPSS Data Analysis Does the number of average study hours per week during the semester accurately predict final exam grades? Independent variable: average number of study hours per week. Hours is continuous data because it can take on any value below 168 hours, which is the number of hours in a week. Even though the data is reported in integer form the 'hours' data is continuous. Hours data is quantitative, since it can be
Job Outing This research was done to identify any relationship to job satisfaction and a recent company outing to Camp Feel Good. Essentially, the manager is doing this experiment to determine how effective Camp Feel Good attendance is on employee's attitudes. u1= mean of employees who attended meeting and did not increase job satisfaction u0 = mean of employees who attended meeting and increased job satisfaction u1 > u0 Null: H0: u1 /
Research Caveat - Research surrounding undocumented workers can often be problematic and unreliable. Primarily this is due to the nature of the subject matter -- individual on both sides of the issue are unwilling to talk because of the volaltility of the subject, language barriers, legal issues, access issues, fear of anything that even remotely feels governmental, and the validity of responses. Briefly, we can view these issues and the