T-test can only be use with 2 variables, more than 2 use ANOVA
Construct validity- Whether some sub components were different from the rest or missing in the current measures Face validity if current measures refers to the same issues if -> if Yes, face validity is poor; If no, face validity is good Internal reliability (look at Cronbach’s alpha) any number above 0.7- for reliability measure-; if lower then it is not reliable Consider the variables of sex and age/ higher overall evaluation of (comparison) Look at group statistics 1.mean value 2.sig (2-tailed) value from t-test bigger than 0.05 not sig/smaller than 0.05 sig (not sig= false/ sig= True) Who is more likely to … (comparing more than 2 variables)(look at bottom of chart for sig value) sig. over 0.05, not sig (must be false or neither) Crosstabulation chart Correlations- look at correlations fig ----if significant =true/ not significant=false Is there any one group that is more likely…… than others? (look at bottom of chart) 1. Anova Between groups/sig value (greater=not sig/ smaller=sig (0.05)) (sig value only show compared to 1 of them but not both doesn’t guarantee compared to other 2 group so choose none)
T-test can only be use with 2 variables, more than 2 use ANOV
2 variables, different between the 2measures look at sig figure if sig greater than 0.05, not sig (false) if smaller than 0.05, sig (true) Effort of enhancing response via an efficient aid or tool to supplement to the earlier samples without violating the sample characteristic. /safe time& cost, the variety of respondents can be controlled by researcher Draw sample (look at N figure) 10a. How much of the variation in overall evaluation of iLearn is explained by the combined effects of Ease of Use, Learning Curve and Complexity? Look at regression table----Model summary- > r square % 10b. what accounts for the remaining variation? Factors not considered, the variation- frequency 10c. which predictor variable has the greatest influence on overall evaluation of ILearn? Regression Coefficients- Standardized Coefficients/ t-value (greater number=greatest influence) (or lowest sig value) 10e. what is the correlation between Complexity and overall evaluation of iLearn, after removing the effects of Ease of Use and Learning Curve? Look at complexity/ standardized coefficients %= answer 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14.
Difference between, “Sampling error” and “non-sampling error” any type of bias that can be attributed to mistakes made when drawing a sample/ bias that occurs in the research endeavour regardless of whether a sample or census was used Casual research aim?- to discover casual relationships amongst known and unknown variables When drawing a sample, I choose every 100th person from our customer list, example of: Systematic random sample Observation is scientific when it takes records systematically and related to general propositions rather than simply reflecting a set of interesting curiosities The use of ‘drop down box’ in an online survey- reduces the perceived length of the survey to the respondent without actually removing any content Non-probability sampling method include convenience sampling, judgement sampling, quota sampling& snowball samp Quota sampling is good because – speed of data collection, lower cost& convenience Construct validity- ability of a measure to provide empirical evidence consistent with a theory-based concept Major advantage of test making- help to identify target segmentation units& outline the appropriate approach required Descriptive research- Research designed to describe characteristics of a population or phenomenon Continuous variable- a variable that has an infinite number of possible values Advantages of personal interviews- opportunity of feedback Reason to use Sample rather than a complete census?- samples are needed when measurement involves destruction of the measured unit Operational Definition: an explanation giving its meaning by detailing all the actions needed to measure it
T-test can only be use with 2 variables, more than 2 use ANOV
2 variables, different between the 2measures look at sig figure if sig greater than 0.05, not sig (false) if smaller than 0.05, sig (true) Effort of enhancing response via an efficient aid or tool to supplement to the earlier samples without violating the sample characteristic. /safe time& cost, the variety of respondents can be controlled by researcher Draw sample (look at N figure) 10a. How much of the variation in overall evaluation of iLearn is explained by the combined effects of Ease of Use, Learning Curve and Complexity? Look at regression table----Model summary- > r square % 10b. what accounts for the remaining variation? Factors not considered, the variation- frequency 10c. which predictor variable has the greatest influence on overall evaluation of ILearn? Regression Coefficients- Standardized Coefficients/ t-value (greater number=greatest influence) (or lowest sig value) 10e. what is the correlation between Complexity and overall evaluation of iLearn, after removing the effects of Ease of Use and Learning Curve? Look at complexity/ standardized coefficients %= answer 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14.
Difference between, “Sampling error” and “non-sampling error” any type of bias that can be attributed to mistakes made when drawing a sample/ bias that occurs in the research endeavour regardless of whether a sample or census was used Casual research aim?- to discover casual relationships amongst known and unknown variables When drawing a sample, I choose every 100th person from our customer list, example of: Systematic random sample Observation is scientific when it takes records systematically and related to general propositions rather than simply reflecting a set of interesting curiosities The use of ‘drop down box’ in an online survey- reduces the perceived length of the survey to the respondent without actually removing any content Non-probability sampling method include convenience sampling, judgement sampling, quota sampling& snowball samp Quota sampling is good because – speed of data collection, lower cost& convenience Construct validity- ability of a measure to provide empirical evidence consistent with a theory-based concept Major advantage of test making- help to identify target segmentation units& outline the appropriate approach required Descriptive research- Research designed to describe characteristics of a population or phenomenon Continuous variable- a variable that has an infinite number of possible values Advantages of personal interviews- opportunity of feedback Reason to use Sample rather than a complete census?- samples are needed when measurement involves destruction of the measured unit Operational Definition: an explanation giving its meaning by detailing all the actions needed to measure it
