PsychTests.com. advancing psychology and technology
|
|
- Peregrine Griffin
- 6 years ago
- Views:
Transcription
1 PsychTests.com tel fax CP Normandie PO Box l Montreal, Quebec l H3M 3E8 contact@psychtests.com advancing psychology and technology Psychometric Report Career Motivation Test
2 Description: An 82-item test assessing career motivation. Low scores indicate that that particular motivator is not important to the test-taker; high scores indicate that the motivator is important. The test yields sixteen sub-scores: 1. Achievement: measures the desire to reach goals or to rise to challenges at work. 2. Balanced lifestyle: evaluates the desire to keep work and private life separate; to reserve time and energy for private life. 3. Change and Variety: assesses the desire to avoid routine, to have new challenges and tasks on a regular basis. 4. Creativity: measures the need to be free to think creatively, to create new and original ideas, and to think outside the box. 5. Financial reward: assesses the motivation to obtain money and other rewards in order to live desired lifestyle. 6. Identity and purpose: assesses the desire to achieve a sense of meaning from one s profession, to be defined by profession. 7. Improvement: measures the drive to help others, to work for a meaningful cause. 8. Independence: evaluates the need to be self-sufficient and to make own decis about work and have a sense of personal control over outcome. 9. Inspiration: measures the desire to inspire others through creative means or by setting a good example and mentoring others. 10. Learning: measures the desire to learn new things through profession, to grow intellectually in the process of working. 11. Mobility: assess the motivation to have opportunities to relocate or travel through work, experiencing new places. 12. Power: measures the motivation to obtain power in the decision making process, to take a leadership position, and to have an influence over other people. 13. Recognition and appreciation: assesses the desire to achieve recognition and to be appreciated by others (especially employer and co-workers) for professional contribution. 14. Social factors: evaluates the need to work with others and to feel like part of an organization. 15. Stability: measures the need for security and the need for stable employment, along with longterm benefits. 16. Status: measures the need to achieve status and respect as a result of particular Reference: St. Jean, T., Tidman, L., Jerabek, I. (2001). Career Motivation Test. Queendom.com Sample Size: 1067 Sample Description: The sample used in this study includes men and women, aged 13 to 63, who took the test on Queendom.com website. Number of quest: 82 Copyright Plumeus Inc
3 Descriptive Statistics See Annex 1 for Descriptive statistics Copyright Plumeus Inc
4 Distribution for the Career Motivation Test The distribution of the scores is shown in red; the normal curve is represented by the black line. The scores are displayed on the x-axis. The y-axis corresponds to the number of respondents who fall into the relevant score range. 300 Achievement Frequency Std. Dev = Mean = 54.6 N = Achievement Copyright Plumeus Inc
5 Balanced lifestyle Frequency Std. Dev = Mean = 48.2 N = Balanced lifestyle 200 Change and Variety 100 Frequency Std. Dev = Mean = 49.4 N = Change and Variety Copyright Plumeus Inc
6 300 Creativity Frequency Std. Dev = Mean = 53.2 N = Creativity Financial Reward Frequency Std. Dev = Mean = 45.9 N = Financial Reward Copyright Plumeus Inc
7 300 Identity and Purpose Frequency Std. Dev = Mean = 44.8 N = Identity and Purpose 300 Improvement Frequency Std. Dev = Mean = 46.8 N = Improvement Copyright Plumeus Inc
8 300 Independence Frequency Std. Dev = Mean = 59.5 N = Independence 300 Inspiration Frequency Std. Dev = Mean = 61.0 N = Inspiration Copyright Plumeus Inc
9 300 Learning Frequency Std. Dev = Mean = 61.5 N = Learning Mobility Frequency Std. Dev = Mean = 35.1 N = Mobility Copyright Plumeus Inc
10 400 Power Frequency Std. Dev = Mean = 34.5 N = Power 300 Recognition and Appreciation Frequency Std. Dev = Mean = 41.8 N = Recognition and Appreciation Copyright Plumeus Inc
11 300 Social Factors Frequency Std. Dev = Mean = 38.1 N = Social Factors Stability Frequency Std. Dev = Mean = 33.2 N = Stability Copyright Plumeus Inc
12 Status Frequency Std. Dev = Mean = 29.6 N = Status Copyright Plumeus Inc
13 Reliability and Internal Consistency Sub 1: Achievement (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 2: Balanced Lifestyle (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 3 : Change and Variety (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 4: Creativity (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Copyright Plumeus Inc
14 Sub 5: Financial Reward (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 6: Identity and Purpose (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 7: Improvement (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 8: Independence (N=6) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Copyright Plumeus Inc
15 Sub 9: Inspiration (N=6) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 10 : Learning (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 11: Mobility (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 12: Power (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Copyright Plumeus Inc
16 Sub 13: Recognition (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 14: Social Factors (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 15: Stability (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Sub 16: Status (N=5) Inter-Item Consistency Cronbach's Coefficient Alpha: Split-Half Reliability Spearman-Brown formula: Guttman s formula: Copyright Plumeus Inc
17 Criterion and Construct Validity 1. Relathip between position and career motivation: Question #1: What is your position? VALUE="1">Senior VALUE= 1 "2">Other VALUE= 1 "3">Professional VALUE= 1 "4">Technical VALUE= 1 "5">Sales VALUE= 1 "6">Administrative VALUE= 1 "7">Other Employed VALUE= 1 "8">Homemaker/Full-time parent VALUE= 1 "9">Student VALUE= 1 "10">Retired VALUE= 1 "13">Not Employed - Handicapped VALUE= 1 "12">Not Employed - Volunteer worker VALUE= 1 "11">Unemployed ANOVA F Sig. Achievement Balanced Lifestyle Change and Variety Creativity Financial Reward Identity and Purpose Improvement Independence Inspiration Learning Mobility Power Recognition and Appreciation Social Factors Stability Status Copyright Plumeus Inc
18 a) Achievement motivation and position: Significant differences in achievement motivation were found among groups of subjects who work in different posit. People who work in senior management posit scored significantly higher on achievement motivation than all other groups except for homemakers, students, and unemployed. Students scored significantly higher than people in administrative and technical posit. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < 0.05 ACHIEVEMENT SCORE AS A FUNCTION OF POSITION Mean of Achievement Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
19 b) Balanced lifestyle motivation and position: Significant differences in balanced lifestyle motivation were found among groups of subjects who work in different posit. People who work in senior management posit scored significantly lower on balanced lifestyle motivation than all other groups except for homemakers, students, and technical posit. Students scored significantly lower than people in administrative and technical posit. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < 0.05 BALANCED LIFESTYLE SCORE AS A FUNCTION OF POSITION 60 Mean of Balanced Lifestyle Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
20 c) Change and variety motivation and position: Significant differences in change and variety motivation were found among groups of subjects who work in different posit. People who work in senior management posit scored significantly higher on change and variety motivation than students, Others, and people who work in administrative posit. People who work in other management posit and professional posit scored significantly higher than administrative employees and students. Students scored significantly lower than people in administrative and technical posit. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < 0.05 CHANGE AND VARIETY SCORE AS A FUNCTION OF POSITION 60 Mean of Change and Variety Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
21 d) Creativity motivation and position: Significant differences in creativity motivation were found among groups of subjects who work in different posit. Students and homemakers scored significantly lower on creativity motivation than all other groups except for sales and unemployed. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < EMOTIONAL INSIGHT AS A FUNCTION OF HAPPINESS SELF-RATING Mean of Creativity Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
22 e) Improvement motivation and position: Significant differences in improvement motivation were found among groups of subjects who work in different posit. Senior managers scored significantly lower on improvement motivation than professionals, homemakers, students, and the other employed. Sales people scored significantly lower than Others. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < 0.05 IMOVEMENT MOTIVATION AS A FUNCTION OF POSITION Mean of Improvement Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
23 f) Independence motivation and position: Significant differences in independence motivation were found among groups of subjects who work in different posit. Senior managers scored significantly higher on independence motivation than all other groups except for professionals and sales people. Both professionals and sales people scored significantly higher than administrative, other employed, homemakers, and students. In addition, sales people were significantly more motivated by independence than technical people. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < Mean of Independence Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
24 g) Mobility motivation and position Significant differences in mobility motivation were found among groups of subjects who work in different posit. People who work in administrative posit scored significantly lower than people in all other posit except for homemakers and Others. Students scored significantly higher than professionals, people in other management posit and people in administrative posit. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < 0.01 MOBILITY MOTIVATION AS A FUNCTION OF POSITION Mean of Mobility Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
25 h) Power motivation and position: Significant differences in power motivation were found among groups of subjects who work in different posit. People who work in senior management posit scored significantly higher than workers in all other posit. Homemakers scored significantly lower than all other groups, with the exception of people in administrative posit and Others. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < POWER MOTIVATION AS A FUNCTION OF POSITION Mean of Power Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
26 i) Recognition and appreciation motivation and position: Significant differences in recognition and appreciation motivation were found among groups of subjects who work in different posit. People who work in senior management posit scored significantly lower than people in other management, technical, sales and administrative posit. People in administrative posit also scored significantly higher than people in other management posit, professionals and students. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < 0.05 RECOGNITION AND APECIATION MOTIVATION AS A FUNCTION OF POSITION Mean of Recognition and Appreciation Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
27 j) Stability motivation and position: Significant differences in stability motivation and position were found among groups of subjects who work in different posit. People in administrative posit scored significantly higher than people in senior management posit, other management posit, professionals and sales people. Technical people, Others, and students scored higher than senior managers and the unemployed. Technical people and students also scored higher than professionals. See Annex 3 for a table showing multiple comparisons. F (9,604) = p < STABILITY MOTIVATION AS A FUNCTION OF POSITION Mean of Stability Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
28 k) Status motivation and position: Significant differences in status motivation were found among groups of subjects who work in different posit. People in administrative posit scored significantly lower than people in senior management posit, technical posit, professionals, sales people, and students. Other managers scored significantly lower than people in senior management posit and students. See Annex 3 for a table showing multiple comparisons. F (9,49490) = p < 0.05 STATUS MOTIVATION AS A FUNCTION OF POSITION Mean of Status Senior Sales Technical Professional Other Administrative Other Employed Student Homemaker/Full-time Unemployed What is your position? Copyright Plumeus Inc
29 3. Relathip between field of work and career motivation. Question #2: What field do you work in? VALUE="1">Advertising & VALUE= 2">Aerospace & VALUE= 3">Agriculture VALUE= 4">Airlines VALUE= 5">Automotive VALUE= 6">Chemicals VALUE= 7">Computers VALUE= 8">Electronics & VALUE= 9">Energy & Utilities VALUE= 10">Financial VALUE= 11">Food & VALUE= 12">Healthcare VALUE= 13">Industrial Goods & VALUE= 14">Internet & Online VALUE= 15">Media & VALUE= 16">Pharmaceuticals VALUE= 17">Professional VALUE= 18">Real Estate VALUE= 19">Retail VALUE= 20">Telecommunicat VALUE= 21">Transportation VALUE= 22">I don't work VALUE= 23">Education VALUE= 24">Information VALUE= 25">Travel & Leisure VALUE= 26">Social VALUE= 27">Construction Note: Groups 3, 4, 5, 6, 9, 14, 16, 25 and 27 were excluded from the analyses due to small sample size. Copyright Plumeus Inc
30 ANOVA F Sig. Achievement Balanced lifestyle Change and Variety Creativity Financial Reward Identity and Purpose Improvement Independence Inspiration Learning Mobility Power Recognition and Appreciation Social Factors Stability Status Copyright Plumeus Inc
31 a) Creativity motivation and field of work: Significant differences in creativity motivation scores were found among groups of subjects who work in different fields. People who work in social services, industrial goods and services, and media and entertainment scored significantly higher than those who work in aerospace and military, food services, healthcare, retail, transportation, the unemployed, computers, financial services, professional services, and telecommunicat. In addition, advertising and employees scored significantly higher than the first six in the previous list, and people in information technology scored higher than the first five. See Annex 4 for a table showing multiple comparisons. F (17,543) = p < CREATIVITY MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Creativity Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
32 b) Financial reward motivation and field of work: Significant differences in financial reward motivation scores were found among groups of subjects who work in different fields. Among other significant differences, People in real estate scored significantly higher than all other groups, besides people who work in electronics and semiconductors, telecommunicat and transportation. People who work in education, on the other hand, scored significantly lower than people in real estate, computers, financial services, healthcare, and professional services. See Annex 4 for a table showing multiple comparisons. F (17,543) = p < 0.05 FINANCIAL REWARD MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Financial Reward Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
33 c) Improvement motivation and field of work: Significant differences in improvement motivation scores were found among groups of subjects who work in different fields. Among other significant differences, People in real estate scored significantly lower than most groups, including people who work in social services, education, information technology, transportation, professional services, healthcare, computers, and the unemployed. People who work in social services, on the other hand, scored significantly higher than people in all other groups. See Annex 4 for a table showing multiple comparisons. F (17,543) = p < IMOVEMENT MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Improvement Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
34 d) Inspiration motivation and field of work: Significant differences in improvement motivation scores were found among groups of subjects who work in different fields. People in social services scored significantly higher than all other groups besides those people who work in education, who in term scored higher than people in most other groups, besides advertising and, industrial goods and services, telecommunicat, transportation, and information technology. People in real estate score lowest, with significantly lower scores than people in advertising and, financial services, industrial goods and services, media and entertainment, professional services, telecommunicat, people who don t work, people in information technology, and of course those in education and social services. See Annex 4 for a table showing multiple comparisons. F (17,543) = p < INSPIRATION MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Inspiration Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
35 e) Mobility motivation and field of work: Significant differences in mobility motivation scores were found among groups of subjects who work in different fields. Among other significant differences, people in transportation scored significantly higher than all other groups, besides people who work in aerospace and military and electronics and semiconductors. See Annex 4 for a table showing multiple comparisons. F (17,543) = p > MOBILITY MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Mobility Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
36 f) Power motivation and field of work: Significant differences in power motivation scores were found among groups of subjects who work in different fields. Transportation scored highest, with significant difference over those in computers, electronics and semiconductors, healthcare, media and entertainment, retail, the unemployed, and those in education. See Annex 4 for a table showing multiple comparisons. F (17,543) = p > POWER MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Power Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
37 g) Social factors motivation and field of work: Significant differences in social factors motivation scores were found among groups of subjects who work in different fields. People in the food and beverage field scored highest, followed by people in social services. Those in food and beverage scored higher than all groups except those in industrial goods and services, telecommunicat, information technology, transportation and social services. In turn, social services scored significantly higher than computers, electronics and semiconductors, real estate, retail, and education. Electronics and semiconductors scored lowest, followed closely by retail. See Annex 4 for a table showing multiple comparisons. F (17,543) = p < 0.01 SOCIAL FACTORS MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Social Factors Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
38 g) Stability motivation and field of work: Significant differences in stability motivation scores were found among groups of subjects with different fields. People in electronics and semiconductors scored the highest, with significant differences over most other groups, besides advertising and, Aerospace and military, real estate, retail and telecommunicat. Retail people scored higher than all but the same groups plus those in food and beverage. See Annex 4 for a table showing multiple comparisons. F (17,543) = p < STABILITY MOTIVATION AS A FUNCTION OF FIELD OF WORK Mean of Stability Social Information Technolo Education I don't work Transportation Telecommunicat Retail Real Estate Professional Service Media & Entertainmen Industrial Goods & S Healthcare Food & Financial Electronics & Semico Computers Aerospace & Advertising & What field do you work in? Copyright Plumeus Inc
39 3. Relathip between education and career motivation. Question #3: What is the highest degree of formal education that you have achieved? VALUE= 1 >Grade School VALUE="2">Some High School VALUE="3">High School Grad VALUE="4">Some College VALUE="5">College Grad VALUE="6">Post-Graduate Work VALUE="7">Post-Graduate Degree VALUE="8">Prefer not to answer ANOVA F Sig. Achievement Balanced lifestyle Change and Variety Creativity Financial Reward Identity and Purpose Improvement Independenc e Inspiration Learning Mobility Power Recognition and Appreciation Social Factors Stability Status Copyright Plumeus Inc
40 a) Change and variety motivation and education: Significant differences in change and variety motivation scores were found among groups of subjects with different education levels. College grads were significantly more motivated by change and variety than high school grads and than people with some college education. See Annex 5 for a table showing multiple comparisons. F (5,657) = p < 0.05 CHANGE AND VARIETY MOTIVATION AS A FUNCTION OF EDUCATION Mean of Change and Variety Some High School Some College Post-Graduate Work High School Grad College Grad Post-Graduate Degree Education Copyright Plumeus Inc
41 b) Creativity motivation and education: Significant differences in creativity motivation scores were found among groups of subjects with different education levels. People with post-graduate degrees were significantly more motivated by creativity than those with less education, with the exception of those who had done some post-grad work and those with some high school. See Annex 5 for a table showing multiple comparisons. F (5,657) = p < 0.05 CREATIVITY MOTIVATION AS A FUNCTION OF EDUCATION Mean of Creativity Some High School Some College Post-Graduate Work High School Grad College Grad Post-Graduate Degree Education Copyright Plumeus Inc
42 c) Improvement motivation and education: Significant differences in improvement motivation scores were found among groups of subjects with different education levels. As education increased, scores tended to go up, although the group with the least education was significantly higher in improvement motivation than high school grads. The decrease in scores in the post-graduate subjects was not significant. See Annex 5 for a table showing multiple comparisons. F (5,657) = p < 0.05 IMOVEMENT MOTIVATION AS A FUNCTION OF EDUCATION Mean of Improvement Some High School Some College Post-Graduate Work High School Grad College Grad Post-Graduate Degree Education Copyright Plumeus Inc
43 d) Independence motivation and education: Significant differences in independence motivation scores were found among groups of subjects with different education levels. Individuals who had some high school scored significantly lower than all people with more education, with the exception of subjects with some post-graduate work. See Annex 5 for a table showing multiple comparisons. F (5,657) = p < INDEPENDENCE MOTIVATION AS A FUNCTION OF EDUCATION Mean of Independence Some High School Some College Post-Graduate Work High School Grad College Grad Post-Graduate Degree Education Copyright Plumeus Inc
44 e) Stability motivation and education: Significant differences in stability motivation scores were found among groups of subjects with different education levels. Generally, the higher the level of education is, the less motivation towards stability, with the exception of those individuals with the least amount of education. See Annex 5 for a table showing multiple comparisons. F (5,657) = p < STABILITY MOTIVATION AS A FUNCTION OF EDUCATION Mean of Stability Some High School Some College Post-Graduate Work High School Grad College Grad Post-Graduate Degree Education Copyright Plumeus Inc
45 3. Relathip between drive to achieve career goals and career motivation. Question #4: Do you generally feel driven to achieve your career goals? VALUE="1">Yes, completely VALUE="2">Somewhat VALUE="3">Slightly VALUE="4">Not at all ANOVA F Sig. Achievement Balanced lifestyle Change and Variety Creativity Financial Reward Identity and Purpose Improvement Independence Inspiration Learning Mobility Power Recognition and Appreciation Social Factors Stability Status Copyright Plumeus Inc
46 a) Achievement motivation and drive to achieve career goals: Significant differences in achievement motivation scores were found among groups of subjects with different drive to achieve career goals levels. The more driven groups were to achieve their career goals, the higher their scores in achievement motivation. The results are robust. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < 0.05 ACHIEVEMENT MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Achievement Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
47 b) Balanced lifestyle motivation and drive to achieve career goals: Significant differences in balanced lifestyle motivation scores were found among groups of subjects with different drive to achieve career goals levels. The group that reported being completely driven to achieve their career goals scored significantly lower that the other groups in balanced lifestyle motivation. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < 0.05 BALANCED LIFESTYLE MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Balanced lifestyle Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
48 c) Financial reward motivation and drive to achieve career goals: Significant differences in financial reward motivation scores were found among groups of subjects with different drive to achieve career goals levels. The group that reported being completely driven to achieve their career goals scored significantly higher than all other groups. The rise in scores for the least goaloriented group is not significant and is likely a function of the small sample size for that group. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < 0.05 FINANCIAL REWARD MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Financial Reward Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
49 d) Identity and purpose motivation and drive to achieve career goals: Significant differences in identity and purpose motivation scores were found among groups of subjects with different levels of drive to achieve career goals. Those that were slightly driven to achieve their career goals scored significantly lower than those who were somewhat and completely driven to achieve their goals. The rise in scores for the least goal-oriented group was not significant and is likely a function of the small sample size for that group. See Annex 6 for a table showing multiple comparisons. F (3,622) p < 0.05 IDENTITY AND PURPOSE MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Identity and Purpose Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
50 e) Inspiration motivation and drive to achieve career goals: Significant differences in inspiration motivation scores were found among groups of subjects with different levels of drive to achieve career goals levels. Groups that were less motivated by their goals scored lower in inspiration motivation. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < INSPIRATION MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Inspiration Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
51 f) Learning motivation and drive to achieve career goals: Significant differences in learning motivation scores were found among groups of subjects with different Drive to achieve career goals levels. Groups that were less motivated by their goals scored lower in learning motivation, although in the mid-range, there was a slight, insignificant increase. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < LEARNING MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Learning Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
52 g) Power motivation and drive to achieve career goals: Significant differences in power motivation scores were found among groups of subjects with different levels of drive to achieve career goals. As drive decreased, so did scores in power motivation. There was a slight increase in scores in the last, least driven group, but it was not significant and can probably be attributed to small sample size. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < POWER MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Power 20 Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
53 h) Recognition and appreciation motivation and drive to achieve career goals: Significant differences in recognition and appreciation motivation scores were found among groups of subjects with different drive to achieve career goals. As drive to achieve goals decreased, recognition and appreciation scores increased. The decrease in the last group was not significant and is probably a function of small sample size. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < RECOGNITION AND APECIATION MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Recognition and Appreciation Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
54 i) Stability motivation and drive to achieve career goals: Significant differences in stability motivation scores were found among groups of subjects with different drive to achieve career goals. Groups that were less motivated by their career goals scored higher in stability motivation, although a slight, non-significant decrease occurred in the mid-range. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < STABILITY MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Stability Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
55 j) Status motivation and drive to achieve career goals: Significant differences in status motivation scores were found among groups of subjects with different drive to achieve career goals. As drive decreased, so did scores in status motivation. There was a slight increase in scores in the last, least driven group, but it was not significant and can probably be attributed to small sample size. See Annex 6 for a table showing multiple comparisons. F (3,622) = p < STATUS MOTIVATION AS A FUNCTION OF DRIVE TO ACHIEVE CAREER GOALS Mean of Status Yes, completely Somewhat Slightly Not at all Do you generally feel driven to achieve your career goals? Copyright Plumeus Inc
56 GROUP DIFFERENCES AS A FUNCTION OF GENDER GROUP STATISTICS Gender N Mean Std. Deviation Std. Error Mean Achievement Women Men Balanced Lifestyle Women Men Change and Variety Women Men Creativity Women Men Financial Reward Women Men Identity and Purpose Women Men Improvement Women Men Independence Women Men Inspiration Women Men Learning Women Men Mobility Women Men Power Women Men Recognition and Appreciation Women Men Social Factors Women Men Stability Women Men Status Women Men Copyright Plumeus Inc
57 INDEPENDENT SAMPLES TEST Independent Samples Test t-test for Equality of Means t df Sig. (2- tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Achievement Balanced Lifestyle Change and Variety Creativity Financial Reward Identity and Purpose Improvement Independence Inspiration Learning Mobility Power Recognition and Appreciation Social Factors Stability Status Copyright Plumeus Inc
58 Gender Differences (continued) Sub-score differences: A significant difference in some subscores was detected between males and females: Woman scored significantly higher on balanced lifestyle than men: t (700) = p < 0.05 Mean difference: 5.00 Men scored significantly higher on financial reward than women: t (700) = p < Mean difference: 7.76 Woman scored significantly higher on improvement than men: t (700) = p < Mean difference: Woman scored significantly higher on learning than men: t (700) = p < 0.05 Mean difference: Men scored significantly higher on mobility than women: t (700) = p < 0.01 Mean difference: Men scored significantly higher on power than women: t (700) = p < Mean difference: 4.68 Woman scored significantly higher on stability than men: t (700) = p < Mean difference: 8.61 Man scored significantly higher on status than women: t (700) = p < Mean difference: 4.7 Copyright Plumeus Inc
59 Correlat Achievement Balanced lifestyle Change and Variety Achievement Balanced Change Creativity Financial Identity Improvement lifestyle and Variety Reward and Purpose Pearson Correlation Sig. ( tailed) N Pearson Correlation Sig. ( tailed) N Pearson Correlation Sig. ( tailed) N Creativity Pearson Correlation Financial Pearson Reward Correlation Sig. (2- tailed) Identity and Purpose Sig. ( tailed) N Pearson Correlation N Sig. ( tailed) N Improvement Pearson Correlation Sig. ( tailed) N Independence Pearson Correlation Sig. (2- tailed) N Inspiration Pearson Correlation Sig. ( tailed) N Copyright Plumeus Inc
60 Learning Pearson Correlation Sig. ( tailed) N Mobility Pearson Correlation Sig. ( tailed) N Power Pearson Correlation Sig. (2- tailed) Recognition and Appreciation Pearson Correlation Sig. (2- tailed) N N Social Factors Pearson Correlation Sig. ( tailed) N Stability Pearson Correlation Sig. ( tailed) N Status Pearson Correlation Sig. (2- tailed) N Correlat in yellow indicate significance at the.05 level. Correlat in green indicate significance at the.01 level. Copyright Plumeus Inc
61 Correlat (Continued) Independence Inspiration Learning Mobility Power Recognition and Appreciation Social Stability Status Factors Copyright Plumeus Inc
62 Correlat in yellow indicate significance at the.05 level. Correlat in green indicate significance at the.01 level. Copyright Plumeus Inc
63 Correlat (Continued) Weak negative correlat were found between achievement and balanced lifestyle, achievement and recognition and appreciation. Weak positive correlat were found between achievement and learning, achievement and power. Weak negative correlat were found between balanced lifestyle and financial reward, balanced lifestyle and inspiration, balanced lifestyle and learning. Moderate negative correlat were found between balanced lifestyle and identity and purpose, balanced lifestyle and mobility, balanced lifestyle and status. A strong negative correlation was found between balanced lifestyle and power. A weak positive correlation was found between balanced lifestyle and stability. Weak negative correlat were found between change and variety and improvement, change and variety and inspiration. A moderate negative correlation was found between change and variety and stability. Weak positive correlat were found between change and variety and creativity, change and variety and independence. A moderate positive correlation was found between change and variety and learning. Weak negative correlat were found between creativity and recognition, creativity and appreciation, creativity and status. A moderate negative correlation was found between creativity and stability. Weak positive correlat were found between creativity and independence, creativity and learning. A moderate positive correlation was found between creativity and inspiration. Weak negative correlat were found between financial reward and inspiration, financial reward and learning. A moderate negative correlation was found between financial reward and improvement. Weak positive correlat were found between financial reward and independence, financial reward and mobility. Strong positive correlat were found between financial reward and power, financial reward and status. A weak negative correlation was found between identity and purpose and independence. Weak positive correlat were found between identity and purpose and improvement, identity and purpose and inspiration. A moderate positive correlation was found between identity and purpose and status. Copyright Plumeus Inc
GENDER PAY GAP REPORT 2017
VOLKSWAGEN GROUP UNITED KINGDOM LIMITED GENDER PAY GAP REPORT 2017 This report details our 2017 results and our drive towards reducing our gender pay gap. INTRODUCTION Driving diversity At Volkswagen Group
More informationAN EMPIRICAL STUDY OF QUALITY OF PAINTS: A CASE STUDY OF IMPACT OF ASIAN PAINTS ON CUSTOMER SATISFACTION IN THE CITY OF JODHPUR
AN EMPIRICAL STUDY OF QUALITY OF PAINTS: A CASE STUDY OF IMPACT OF ASIAN PAINTS ON CUSTOMER SATISFACTION IN THE CITY OF JODHPUR Dr. Ashish Mathur Associate Professor, Department of Management Studies Lachoo
More informationThe Impact of Advertising on Consumer Purchase Decision with Reference to Consumer Durable Goods in Oman
International Journal of Managerial Studies and Research (IJMSR) Volume 5, Issue 12, December2017, PP 11-19 ISSN 2349-0330 (Print) & ISSN 2349-0349 (Online) http://dx.doi.org/10.20431/2349-0349.0512002
More informationGender Pay Gap Report 2018
Gender Pay Gap Report 2018 At Pfizer UK, we ve brought together the best minds to create an inspiring environment in which we can meet the world s health challenges head-on. It s vital that this environment
More informationPlease respond to each of the following attitude statement using the scale below:
Resp. ID: QWL Questionnaire : Part A: Personal Profile 1. Age as of last birthday. years 2. Gender 0. Male 1. Female 3. Marital status 0. Bachelor 1. Married 4. Level of education 1. Certificate 2. Diploma
More information5 CHALLENGES HOW TO ENHANCE WOMEN S LEADERSHIP IN CREDIT UNIONS
5 CHALLENGES HOW TO ENHANCE WOMEN S LEADERSHIP IN CREDIT UNIONS 1 PIPELINE PROBLEM Women often start working for the credit union with less education and in departments that don t lead directly to the
More informationCreative Leadership Questionnaire (CLQ)
MSP Feedback Guide 2009 Creative Leadership Questionnaire (CLQ) Feedback to Test Takers www.myskillsprofile.com Introduction (page 2 of the report) Key points to make The Creative Leadership Questionnaire
More informationCompensation & Motivation. October 6, 2014
Compensation & Motivation October 6, 2014 Don MacPherson President & Co-Founder dmacpherson@modernsurvey.com 612-399-3837 Twitter: @macpherson_d Website: www.modernsurvey.com Blog: http://www.modernsurvey.com/author/don-macpherson
More informationGender Pay Report March 2018
Gender Pay Report March 2018 We are glad this reporting has shined a light on an important issue and we are using it as a catalyst for change. There are a few key factors that influence the top headline
More informationQuestionnaire. (3) (3) Bachelor s degree (3) Clerk (3) Third. (6) Other (specify) (6) Other (specify)
Questionnaire 1. Age (years) 2. Education 3. Job Level 4.Sex 5. Work Shift (1) Under 25 (1) High school (1) Manager (1) M (1) First (2) 25-35 (2) Some college (2) Supervisor (2) F (2) Second (3) 36-45
More informationCHAPTER V RESULT AND ANALYSIS
39 CHAPTER V RESULT AND ANALYSIS In this chapter author will explain the research findings of the measuring customer loyalty through the role of customer satisfaction and the role of loyalty program quality
More informationGroup Mentoring: A Strategy for Attaining Positive Youth Development Dr. Kenneth Jones
Group Mentoring: A Strategy for Attaining Positive Youth Development Dr. Kenneth Jones University of Kentucky Cooperative Extension Service College of Agriculture Food and Environment Introduction A key
More informationWANTED: WOMEN IN STEM
Additional support from WANTED: WOMEN IN STEM An Exploration of Influential Factors, Their Professional Journey & Ways to Foster Change Women in Technology International Survey, 2016 Gender Female 98.8%
More informationImpact of Human Resource System on Competitive Advantage Status: A Case Study
Volume 9 Issue 11, May 2017 Impact of Human Resource System on Competitive Advantage Status: A Case Study Dr. Saloni Pahuja Assistant Professor JIMS Engineering Management Technical Campus, Greater Noida,
More informationRole of Talent Management in Job Satisfaction and Employee Engagement in Information Technology Industry
SSRG International Journal of Economics and Management Studies (ICEEMST-27) - Special Issue- March 27 Role of Talent Management in Job Satisfaction and Engagement in Information Technology Industry Mr.T.NareshBabu
More informationReport I: Competency Norms and Analysis
THE LEADERSHIP ARCHITECT 2009 GLOBAL NORMS Report I: Competency Norms and Analysis Technical Report October 2009 Guangrong Dai King Yii Tang Kenneth P. De Meuse Table of Contents Section Page Executive
More information2017 UK Gender Pay Gap Report
2017 UK Gender Pay Gap Report Welcome Avon is committed to pursuing a global culture that respects and fully values the strengths and differences of all our employees. Our goal is to offer a work environment
More informationWWF-UK GENDER PAY GAP REPORT 2017 GENDER PAY GAP REPORT 2017
WWF-UK GENDER PAY GAP REPORT 2017 1 BACKGROUND As we have more than 250 employees in the UK, we re required to publish our gender pay gap. The pay gap information in this report is based on a snapshot
More informationO U R REPORT. Mercer Limited
H E A LT H W E A LT H CAREER O U R 20 17 U K G E N D E R PA Y G A P REPORT Mercer Limited MERCER WE RE ON A MISSION FOR THE ADVANCEMENT OF WOMEN AT WORK At Mercer, we are committed to accelerating the
More information2017 Annual Workplace Survey. Edelman Intelligence / Copyright 2016
2017 Annual Workplace Survey Edelman Intelligence / Copyright 2016 1 Methodology Edelman Intelligence conducted the fourth year of Addison Group s Annual Workplace Survey. With previous waves having focused
More informationKeywords: Emotional Intelligence, Organizational Commitment, Management, Staff
THE RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND ORGANIZATIONAL COMMITMENT AMONG STAFFS WORKING IN THE DEPARTMENT OF EDUCATION IN KOHGILUYE AND BOYER AHMAD PROVINCE *Habiballah Majidian and Khosro Nazari
More informationGender Pay Gap Report 2017 IKEA UK. Inter IKEA Systems B.V. 2018
Gender Pay Gap Report 2017 IKEA UK Inter IKEA Systems B.V. 2018 2 A message from Gillian and Carin Across the UK, around 10,900 people work in our stores, distribution centres and offices. It is their
More informationEFFECT OF LEADERSHIP STYLE ON ORGANIZATIONAL COMMITMENT
EFFECT OF LEADERSHIP STYLE ON ORGANIZATIONAL COMMITMENT Olayide Abosede Aina, MBA, DM Esteamop Consulting, Atlanta, GA, USA Kewal K. Verma, M.Tech., Ph.D. BCA International, Austin, TX, USA July 2017 1
More information2001 CUSTOMER SATISFACTION RESEARCH TRACKING STUDY
2001 CUSTOMER SATISFACTION RESEARCH TRACKING STUDY FINAL REPORT Prepared For: Newfoundland & Labrador Hydro Hydro Place, Columbus Drive P.O. Box 12400 St. John s, NF A1B 4K7 Prepared By: www.marketquest.ca
More informationOur gender pay gap report for 2017
Our gender pay gap report for 2017 The Government introduced Gender Pay Gap reporting to increase awareness of the issue and improve pay equality between men and women. For the UK as a whole the gap has
More informationFORD MOTOR COMPANY LIMITED GENDER PAY REPORT 2017
FORD MOTOR COMPANY LIMITED GENDER PAY REPORT 2017 WHAT IS GENDER PAY GAP REPORTING? Gender Pay Gap reporting seeks to explain the difference in the pay of male and female employees, according to a series
More informationGender pay gap report
Gender pay gap report 2017 Our gender Taking action Statutory declarations Introduction Morgan Sindall Group plc is a leading UK construction and regeneration group with revenue of c 2.8bn, employing around
More informationStudying the Employee Satisfaction Using Factor Analysis
CASES IN MANAGEMENT 259 Studying the Employee Satisfaction Using Factor Analysis Situation Mr LN seems to be excited as he is going to learn a new technique in the statistical methods class today. His
More informationA STUDY OF RELATIONSHIP BETWEEN JOB SATISFACTION AND EMPLOYEE ENGAGEMENT
A STUDY OF RELATIONSHIP BETWEEN JOB SATISFACTION AND EMPLOYEE ENGAGEMENT Shweta Malhotra Assistant Professor, Geetaratan Institute of Business Studies Affiliated to GGSIP University, Delhi 1 A STUDY OF
More informationThe Dummy s Guide to Data Analysis Using SPSS
The Dummy s Guide to Data Analysis Using SPSS Univariate Statistics Scripps College Amy Gamble April, 2001 Amy Gamble 4/30/01 All Rights Rerserved Table of Contents PAGE Creating a Data File...3 1. Creating
More information0 = Not at all 1 = To a small extent 2 = To some extent
i ORGANIZATION DEVELOPMENT Interventions and Activities ; Questions I-(IV) Please indicate, on the line provided, the extent to which you are currently using or have been engaged or involved in, within
More informationAppendix: Survey results. Domestic companies in China Taking on the competition
Appendix: Survey results Appendix: Survey results A total of 176 senior executives from domestic companies in China participated in our survey, which was conducted in May and June 200. Our thanks to all
More informationGender Pay Gap Reporting BENEFIT COSMETICS LTD
Gender Pay Gap Reporting 2017-18 BENEFIT COSMETICS LTD Gender Pay Gap Reporting 2017-18 In accordance with Government legislation, all employers with over 250 employees are required to publish Gender Pay
More informationAcaStat How To Guide. AcaStat. Software. Copyright 2016, AcaStat Software. All rights Reserved.
AcaStat How To Guide AcaStat Software Copyright 2016, AcaStat Software. All rights Reserved. http://www.acastat.com Table of Contents Frequencies... 3 List Variables... 4 Descriptives... 5 Explore Means...
More informationGENDER PAY GAP REPORT 2017
GENDER PAY GAP REPORT 2017 The most innovative and creative ideas and solutions come from the widest range of thoughts and perspectives and it is our people who distinguish us in the marketplace. David
More informationAMB201: MARKETING & AUDIENCE RESEARCH
AMB201: MARKETING & AUDIENCE RESEARCH Assessment 3: Predictors of Online Retail Shopping Student name: Jenny Chan Student number: n8738254 Tutor name: Jay Kim Tutorial time: Friday 2pm-3pm Due Date: 3
More informationTHE FUTURE OF WORK: ASIA PACIFIC DECEMBER 2017 THE FUTURE OF WORK: ASIA PACIFIC
THE FUTURE OF WORK: ASIA PACIFIC DECEMBER 2017 METHODOLOGY 27% 16% 14% 7% 12% 11% 12% HONG KONG KOREA CHINA AUSTRALIA AND NEW ZEALAND INDIA SOUTHEAST ASIA TAIWAN Total Respondents - 4702 521 558 1261 761
More informationThe Enjoyment of Employment
On your computer, smartphone or tablet, go NOW to http://www.dougsguides.com/personality and fill out the questionnaire. The Enjoyment of Employment Doug Kalish, PhD UCI,CGU March 2014 v6 Times have changed
More informationEntrepreneurship & Innovation MGMT8608
BUSINESS SCHOOL Entrepreneurship & Innovation MGMT8608 TOPIC 2: THE ENTREPRENEUR MIND AND ACTION Learning Outcomes Examine the psychological and social trait theories of entrepreneurship. Consider the
More informationA Study on Employee Engagement and its importance for Employee Retention in IT industry in India
A Study on Employee Engagement and its importance for Employee Retention in IT industry in India 1 Dr. Sanjeevani Gangwani, 2 Dr. Rajendra Singh, 3 Ms. Khushbu Dubey, 4 Dr. Pooja Dasgupta 1 Professor,
More informationPeter Jackson Chief Executive Officer. Paddy Power Betfair. Gender Pay Gap 02
Gender Pay Gap Peter Jackson Chief Executive Officer Gender pay gap reporting is an important step forward within both business and society, and we welcome the opportunity it provides to accelerate the
More informationWant SuperEngaged members? Learn how your members think, feel and act
Want SuperEngaged members? Learn how your members think, feel and act 2 SuperEngaged Surveys of engagement levels among super fund members usually reinforce the negative messages we know too well engagement
More informationThe Value of Business Media Brands in 2015
The Value of Business Media Brands in 2015 Research by PPA Business Neil Sharman Our sample GENDER MALE 57% FEMALE 43% AGE 30% 20% 400 responses Online questionnaire November 2015 10% Under 25 25 to 34
More informationGENDER PAY GAP REPORT 2017
GENDER PAY GAP REPORT 2017 Statistics refer to the earnings of UK-based employees and casual workers for the 12 months to April 2017 Committed to equality We recognise our diverse portfolio of award-winning
More information2018 Gender Pay Gap Report
2018 Gender Pay Gap Report introduction Edelman is committed to a diverse and inclusive workforce where everyone is valued equally, and all employees feel respected. We have robust processes in place to
More informationPersonal Finance Unit 1 Chapter Glencoe/McGraw-Hill
0 Chapter 2 Finances and Career Planning What You ll Learn Section 2.1 Identify the personal issues to consider when choosing and planning your career. Explain how education and training affect career
More informationApple UK Gender Pay Gap Report
Apple UK Gender Pay Gap Report 2017 We know the strength of our innovation depends on a vibrant and diverse workforce. From our earliest days, we ve believed that Apple should be a reflection of the world
More informationEMPLOYEE ENGAGEMENT SURVEY
EMPLOYEE ENGAGEMENT SURVEY ATC Project March 30, 2015 on behalf of TTC TABLE OF CONTENTS Introduction 3 Overall Engagement Score 12 Aspects of Employee Engagement 16 What Drives Engagement 20 Overall Organizational
More informationA Study of Component Gender in Job Satisfaction of University Lecturers
Ref: 6.16 Type: Working Paper Stream: Gendered Issues in HRD A Study of Component Gender in Job Satisfaction of University Lecturers Ali Hajiha Islamic Azad University, North Tehran Branch Iran. a_hajiha@iau-tnb.ac.ir
More information2015 Federal Employee Viewpoint Survey Results for: National Park Service
2015 Federal Employee Viewpoint Survey Results for: National Park Service November 2015 Organizational Assessment Human Resources Solutions U.S. Office of Personnel Management Section I: Summary Dashboard
More informationThe Many Faces of the Millennial Generation
The Many Faces of the Millennial Generation by Edwin Koc from the October 2008 NACE Journal The Millennial Generation has been described as having certain attributes unique to their age group, but new
More informationYour Employeeship Questionnaire Manual
Your Employeeship Questionnaire Manual A survey of the relationships at your workplace August 2010 Lund University, Department of Psychology, Lund, Sweden Johan Jönsson Version 1.2 Your Employeeship Questionnaire
More informationHR TECHNOLOGY & BENEFITS ADMINISTRATION SURVEY Pacific Resources Benefits Advisors, LLC. All Rights Reserved.
HR TECHNOLOGY & BENEFITS ADMINISTRATION SURVEY 2017 ABOUT THE SURVEY 4 th PacRes survey focusing on health and welfare benefits administration and strategic Benefits Administration Purpose: To increase
More informationMcDonald s restaurants Limited Gender Pay Gap Report 2017
McDonald s restaurants Limited Gender Pay Gap Report 2017 Foreword 01 ForeworD from Paul Pomroy, UK Chief Executive Officer and Harriet Hounsell, UK Chief People Officer At McDonald s, a commitment to
More informationAscertaining Dimensions of Organizational Learning Capabilities (OLC) in Academic Library
Ascertaining Dimensions of Organizational Learning Capabilities (OLC) in Academic Library Mohd Shamsul Mohd Shoid Faculty of Information Management, Universiti Teknologi MARA (UiTM), MALAYSIA shamsul_shoid@yahoo.com
More informationWebsite Audience Analysis. Fall 2009
Website Audience Analysis Fall 2009 Release Date January 2010 Analysis Goals Profile CapeMayCountyHerald.com visitors Understand preferred content and features Evaluate Internet and media use habits Identify
More informationActive Citizen E-Participation in Local Governance: Do Individual Social Capital and E-Participation Management Matter?
1 Active Citizen E-Participation in Local Governance: Do Individual Social Capital and E-Participation Management Matter? Jooho Lee, Ph.D. Assistant Professor University of Nebraska at Omaha & Soonhee
More informationThe 2007/08 Employee Satisfaction and Retention Survey Maura Pallera, Global Research Analyst,
i n s i g h t March 2008 The 2007/08 Employee Satisfaction and Retention Survey Maura Pallera, Global Research Analyst, mpallera@salary.com Bottom Line Subjects Employers understand reasons for employee
More informationFamily, Career and Community Leaders of America, Inc. Adviser Mentor National Award Guidelines
Family, Career and Community Leaders of America, Inc. Adviser Mentor 2017-2018 National Award Guidelines Family, Career and Community Leaders of America (FCCLA) recognizes current advisers who have been
More informationBUS GENDER PAY GAP REPORT
BUS GENDER PAY GAP REPORT 2017 GO-AHEAD GENDER PAY REPORT 2017 2 INCLUSION AND DIVERSITY AT IN OUR UK BUS WORKFORCE THE NUMBER OF WOMEN IN LEADERSHIP AND MANAGEMENT ROLES HAS INCREASED FROM 13% TO 15.4%
More informationHow to Identify a Target Market and Prepare a Customer Profile
How to Identify a Target Market and Prepare a Customer Profile Written by Women s Enterprise Centre 1. WHAT YOU SHOULD KNOW BEFORE GETTING STARTED In order to market your product or service, it is imperative
More informationImproving the Employee Experience
BESTPLACESTOWORK.ORG 2014 BEST PLACES TO WORK IN THE FEDERAL GOVERNMENT ANALYSIS Improving the Employee Experience What agencies and leaders can do to manage talent better When asked in a federal survey
More informationIndividualist, Collectivist and Gender Moderated Differences toward Online Purchase Intentions in Jordan
International Business Research; Vol. 5, No. 8; 2012 ISSN 1913-9004 E-ISSN 1913-9012 Published by Canadian Center of Science and Education Individualist, Collectivist and Gender Moderated Differences toward
More informationGender Pay Gap Report 2017
01 Gender Pay Gap Report 2017 02 Introduction As a fast moving fashion retailer we aim to attract and retain the very best people, regardless of gender, in their respective areas of expertise. We are committed
More informationGENDER DISCRMINATION AT WORK PLACE & ITS IMPACT ON EMPLOYEE S PERFORMANCE
KAAV INTERNATIONAL JOURNAL OF ECONOMICS,COMMERCE & BUSINESS MANAGEMENT GENDER DISCRMINATION AT WORK PLACE & ITS IMPACT ON EMPLOYEE S PERFORMANCE ANKUR BHUSHAN Phd Research scholar Sri SatyaSai University
More informationIntroduction. Contents
CRACKING THE CODE 2 CRACKING THE CODE Introduction Since our inception in 1990, YSC has assessed and developed ca 40,000 senior leaders in 40% of the FTSE 100 companies. On average, we work with approximately
More informationCHARACTERISTICS OF SUCCESSFUL SMALL BUSINESSES IN SOUTHERN NEW JERSEY
CHARACTERISTICS OF SUCCESSFUL SMALL BUSINESSES IN SOUTHERN NEW JERSEY ABSTRACT Robert D. Lynch Berhe Habte-Giorgis Rowan University Small businesses account for over 50% of private sector employment and
More informationDiversity in the Profession of Architecture. Executive Summary 2016
Diversity in the Profession of Architecture Executive Summary 2016 Acknowledgments Published January 2016 by: The American Institute of Architects 1735 New York Avenue, NW Washington, DC 20006 2016 The
More informationOpening the Door to. Customer. Engagement
Customer Satisfaction Surveys Opening the Door to Customer Engagement Over 1/4 of adults have completed a customer satisfaction survey - most respond somewhat frequently Completed Satisfaction Survey Frequency
More informationAndy Wright Group Director, The New York Times Job Market
MARKET INTELLIGENCE: Investing in the Future of the Pharmaceutical Industry Dear Colleagues, Our region s pharmaceutical industry has long been recognized as an important engine of the area job market.
More informationRain check. 38 MM&M x SEPTEMBER 2010 x mmm-online.com ILLUSTRATION: 2010 ELDON DOTY
Rain check Following last year s unprecedented decreases, average salaries have bounced back to 2008 levels. Is the storm finally passing? James Chase reports on the key findings of the Career & Salary
More informationRetaining Women in the Workforce
Retaining Women in the Workforce Australian Institute of Management - Victoria and Tasmania 1 December 2008 Australian Institute of Management VT (Victoria / Tasmania) This report has been produced by
More informationContextual, emotional and behavioural influences of YouTube product review videos and official advertisements on consumers
Journal of Applied Leadership and Management 5, 27-34 27 Contextual, emotional and behavioural influences of YouTube product review videos and official advertisements on consumers Aditya Athni, M.B.A.,
More informationMOVING THE DIAL ON GENDER BALANCE WHAT IS NEXT?
MOVING THE DIAL ON GENDER BALANCE WHAT IS NEXT? CONTENTS MOVING THE DIAL ON GENDER BALANCE WHAT IS NEXT?..... 01 SETTING WOMEN UP FOR SUCCESS...... 06 DEVELOPING MALE CHAMPIONS...... 07 RECRUITMENT............
More informationChiltern UK Gender Pay Report 2017
Chiltern UK Gender Pay Report 2017 OUR COMMITMENT Chiltern UK is now part of Covance, a LabCorp business, a global organisation united by a shared mission to improve health and improve lives. With UK locations
More informationWhy Covert Integrity Testing is useful in Screening Security Officers
Why Covert Integrity Testing is useful in Screening Security Officers Michael R. Stowers, Psy.D. High Demand for Good Security Officers The need for security officers is a visible one, particularly given
More informationModern Apprenticeship Employer Survey 2015
Modern Apprenticeship Employer Survey 2015 Headline Results September 2015 Evaluation, Research & LMI Team Evaluation, Research & LMI Team Contents 1. Executive Summary... 3 2. Introduction... 5 3. Profile
More informationDegree of Islamic culture adoption in Malaysian SME hospitality industries
Current Issues in Tourism ISSN: 1368-3500 (Print) 1747-7603 (Online) Journal homepage: http://www.tandfonline.com/loi/rcit20 Degree of Islamic culture adoption in Malaysian SME hospitality industries Rusnah
More informationRECRUITMENT PACK: HEAD OF INSIGHT & INNOVATION APRIL, Registered Charity No
RECRUITMENT PACK: HEAD OF INSIGHT & INNOVATION APRIL, 2017 Registered Charity No. 1060267 WE ARE WOMEN IN SPORT Women in Sport is the leading charity dedicated to transforming sport for the benefit of
More informationJob Satisfaction among Librarians in the Universities of Khyber Pakhtunkhwa, Pakistan: A Survey
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2-12-2013 Job Satisfaction among
More informationA comparative study of effective factors on employed women and men career success in SAPCO Industrial units
2015, TextRoad Publication ISSN: 2090-4274 Journal of Applied Environmental and Biological Sciences www.textroad.com A comparative study of effective factors on employed women and men career success in
More information4. Results and Discussions
Chapter-4 126 4. Results and Discussions 127 To collect data from the employees of cement companies, one measurement instrument is prepared. Reliability of measurement tool signifies the consistency. To
More informationFinancial literacy among Canadian entrepreneurs and business owners
Financial literacy among Canadian entrepreneurs and business owners Joint project: BDC Research and Market Intelligence, and the Telfer School of Business at the University of Ottawa December 2017 Table
More informationTelecommunications Churn Analysis Using Cox Regression
Telecommunications Churn Analysis Using Cox Regression Introduction As part of its efforts to increase customer loyalty and reduce churn, a telecommunications company is interested in modeling the "time
More informationGender Pay Gap. Report Improving people s lives, working well together
Gender Pay Gap Report 2017 Improving people s lives, working well together 1 IIn April 2017 new legislation was introduced by the UK Government, meaning that employers with more than 250 employees are
More informationA Study of Employer Branding on Employee Attitude
A Study of Employer Branding on Employee Attitude Seema Wadhawan 1 and Smrita Sinha 2 1 Research Scholar -Amity Business School, Amity University, Noida 2 Assistant Professor, Head of the Dept., Business
More informationLeadership Practices Inventory: LPI
Leadership Practices Inventory: LPI JAMES M. KOUZES & BARRY Z. POSNER Group Assessment Report Prepared for Sample Group Report November 12, 2012 November 12, 2012 Group Summary by Leadership Practice This
More informationBP s UK gender pay gap in 2017
BP s gender pay gap in 2017 BP s UK gender pay gap in 2017 Building a diverse BP where every employee is valued is one of the ways we ll succeed together. Bob Dudley, Group chief executive At BP, we work
More informationGender pay gap report. Snapshot date of 5th April 2017
Gender pay gap report Snapshot date of 5th April 2017 Published: 28/02/2018 Background As a Co-op, we re a different kind of business We re owned by our members and other co-ops, not big investors. Our
More informationSEEK Intelligence Survey of Employee Satisfaction and Motivation in New Zealand
SEEK Intelligence 2004 Survey of Employee Satisfaction and Motivation in New Zealand The second SEEK Intelligence Survey of Employee Satisfaction and Motivation in New Zealand has collected responses from
More informationKeyMath Revised: A Diagnostic Inventory of Essential Mathematics (Connolly, 1998) is
KeyMath Revised Normative Update KeyMath Revised: A Diagnostic Inventory of Essential Mathematics (Connolly, 1998) is an individually administered, norm-referenced test. The 1998 edition is a normative
More informationSTATISTICS PART Instructor: Dr. Samir Safi Name:
STATISTICS PART Instructor: Dr. Samir Safi Name: ID Number: Question #1: (20 Points) For each of the situations described below, state the sample(s) type the statistical technique that you believe is the
More informationMentoring programme Minerva-FemmeNet. Max Planck Society
Mentoring programme Minerva-FemmeNet Max Planck Society Minerva-FemmeNet Network for female scientific researchers at Max Planck Society History of Minerva-FemmeNet Founded in 2001 by Barbara Legrum at
More informationDorchester Hotel Ltd. Gender Pay Narrative
Dorchester Hotel Ltd Gender Pay Narrative November 2017 1 Table of Contents 1. Introduction... 3 2. Foreword... 3 3. Gender Pay Gap... 4 4. Closing remarks... 6 2 1. Introduction In light of the recent
More informationACHIEVEMENT MOTIVATION LEVEL AMONG EMPLOYEES OF DIFFERENT GOVT. DEPARTMENTS
ACHIEVEMENT MOTIVATION LEVEL AMONG EMPLOYEES OF DIFFERENT GOVT. DEPARTMENTS Asif kamal Huazhong Normal University, Wuhan China Dr Junmei Xiong Huazhong Normal University, Wuhan China Muhammad Ahmad Govt
More informationImpact of Extrinsic Rewards on Job Satisfaction of Banking Sector Employees of Karachi Pakistan
IOSR Journal of Business and Management (IOSR-JBM) e-issn: 2278-487X, p-issn: 2319-7668. Volume 17, Issue 11.Ver. II (Nov. 2015), PP 65-74 www.iosrjournals.org Impact of Extrinsic Rewards on Job Satisfaction
More informationCREATIVITY AUDIT QUESTIONNAIRE
CREATIVITY AUDIT QUESTIONNAIRE CREATIVITY AUDIT This audit aims to record your opinion about creativity at work in order to better address your organizational needs in terms of creativity and innovation.
More informationLeadingforLoyalty.com
LEADER S ASSESSMENT LeadingforLoyalty.com Unit 25 308 Westwood Drive Winnipeg, Manitoba, Canada R3K 1G7 (204) 792-5588 thetrainingsource@shaw.ca Leading for Loyalty ASSESSMENT - LEADER This assessment
More informationCONSUMER ACCEPTANCE TOWARDS ONLINE GROCERY SHOPPING IN MALANG, EAST JAVA, INDONESIA
Agricultural Socio-Economics Journal ISSN: 2252-6757 Volume 17, Number 01 (2017): 23-32 CONSUMER ACCEPTANCE TOWARDS ONLINE GROCERY SHOPPING IN MALANG, EAST JAVA, INDONESIA Wisynu Ari Gutama 1, Anggya Puspita
More informationDiversity Awareness: Fostering a Climate of Inclusion, Sensitivity, and Respect in the Workplace
Diversity Awareness: Fostering a Climate of Inclusion, Sensitivity, and Respect in the Workplace Nicole F. Smith, M.Ed, CDBC Director, Instructional Design and Learning Development nsmith@americanpayroll.org
More information