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Independent Worksheet # 1: A review of Introductory Statistics (including t-test and correlation)

Briefly, the study involves middle grade teachers. The schools where the data were collected are of two types: Type A schools use teaming as the instructional model. That is, content teachers (math, English, Science, etc.) work together in teams for instructional purposes. Type B schools do not use teaming. The core purpose of the study is to see if this difference in instructional format affects Self-Efficacy. The student collected data on two types of self-efficacy: Collective Self-Efficacy and Personal Self-Efficacy. Collective Self-Efficacy is the teacher's perception that the school and the teachers in the school are effective and competent. Personal Self-Efficacy is the teacher's perception of her or his own competence and effectiveness.

Descriptive statistics for Collective Self-Efficacy and Personal Self-Efficacy are presented in Table 1. For both scales the minimum score is 20 and the maximum score is 100.

Table 1a: Descriptive Statistics for Collective and Personal Self-Efficacy

 

Collective Self-Efficacy

Personal Self-Efficacy

N

 

110

110

Mean

56.5047

61.3818

Median

57.0000

61.5000

Mode

59.00

81.00

Std. Deviation

6.74659

12.61278

Variance

45.516

159.082

Skewness

-.854

.173

Kurtosis

.803

-.995

 

 

 

At-test comparing Collective Self-Efficacy and Personal Self-Efficacy was computed. For this analysis t = 4.25, p = .000, partial eta squared = .055.

Differences between male teachers and female teachers were computed. These results are presented in Table 2.

Table 2a: Means and Standard Deviations for Collective and Personal Self-Efficacy by Gender

 

Gender

N

Mean

Std. Deviation

Collective Self-Efficacy

Male

28

55.7500

7.59934

Female

82

56.8205

6.47622

Personal Self-Efficacy

Male

28

59.4643

10.08292

Female

82

63.8395

13.32240

Table 2b: Results of t-tests for Collective and Personal Self-Efficacy by Gender

 

t-test

df

Sig. (2-tailed)

Partial Eta Squared

Collective

Self-Efficacy

 

-.716

108

.476

.003

Personal

Self-Efficacy

 

-2.35

108

.015

.041

Results for teachers who do or do not work in teams are presented in Table 3:

Table 3a: Means and Standard Deviations for Collective and Personal Self-Efficacy by Team Membership

 

 

N

Mean

Std. Deviation

Collective Self-Efficacy

Team

86

56.5244

6.74624

Non-Team

24

56.8750

6.67450

Personal Self-Efficacy

Team

86

64.6353

12.39417

Non-Team

24

57.4167

12.84664

Table 3b: Results of t-tests for Team Membership

 

t-test

df

Sig. (2-tailed)

Partial eta squared

Collective

Self-Efficacy

 

-.224

108

.823

.001

Personal

Self-Efficacy

 

2.807

108

.004

.061

Correlations between various demographic variables and Collective and Personal Self-Efficacy are presented in Table 4:

Table 4: Correlations

 

 

Collective Self-Efficacy

Personal Self-Efficacy

Gender

Pearson Correlation

.070

.283*

Sig. (2-tailed)

.476

.015

N

106

109

Years

Teaching

Pearson Correlation

.248*

.216*

Sig. (2-tailed)

.014

.032

N

97

99

Degree

Pearson Correlation

.028

.117

Sig. (2-tailed)

.775

.225

N

107

110

Years in District

Pearson Correlation

.175

.140

Sig. (2-tailed)

.082

.162

N

99

101

Years in Building

Pearson Correlation

-.033

-.134

Sig. (2-tailed)

.751

.185

N

97

99

Years in Current Position

Pearson Correlation

-.036

-.135

Sig. (2-tailed)

.725

.184

N

97

99

*. Correlation is significant at the 0.05 level (2-tailed).

 

Note: Gender is scored where Males = 1 and Females = 2

Degree is scored where Bachelor's = 1; Master's = 2 and Doctorate = 3

Questions:

Q1: How would you describe this study in terms of its design? (That is, is this experimental research? If so, what kind of experiment? Is it correlational? Is it a mixed methods study? Etc.)

Q2: Does it appear that Collective Self-Efficacy and Personal Self-Efficacy are normally distributed?

Q3: Looking at the data in Table 1a, are there any issues you see that might warrant investigation in terms of the data?

Q4: What kind of t-test was used to compare Collective Self-Efficacy and Personal Self-Efficacy (the sentence after Table 1a). What does the result indicate?

Q5: What kind of t-test was used for the data in Table 2b? Interpret what these data show.

Q6: What kind of t-test was used for the data in Table 3b? Interpret what these data show.

Q7: Interpret the results of the correlations (Table 4).

Q8: Looking at the results presented, do you think the student will be happy? (That's a strange way of saying: do you think the data make any sense.)

Applied Statistics, Statistics

  • Category:- Applied Statistics
  • Reference No.:- M91965142

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