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Sir, please elaborate what is the purpose of Adjusted R Square. Pause your video on 16:01 where R square =.331and Adjusted R Square .308 ..please explain
i really appreciate this video, but i have a question, why did you exclude the Inflex_x_Friends variable of the regression if the p-value was significant?
During a moderation analysis, if an interaction is not statistically significant, you may wish to remove the non-statistically significant results (after reporting the result), to see whether the results of the significant interaction term can increase. There is no strict rule on how to conduct a regression analysis with interaction terms. Ensure you specifically explain your reasons for every steps taken
Hello Dr, Inclusion of control variables is necessary? Can I leave gender, age, and grade out of the model if previous relevant literature does not state demographic variables as control variables?
@@Dr.Okolie Tq so much Dr, what if someone keep question you this part, like my supervisor..., there is no reference to answer usually SEM don't do control
@@GUOQIUPM There is no strict rule on how to conduct a SEM analysis. If your study requires a control variable based on the literature or theory underpinning your study, add control variables. If not, focus on your study's variables only Ok. From my years of experience in research, I have come to learn that there are no rules guiding whether to add control variables or not. Most importantly, ensure that you're clear about every steps taken.
I have a doubt. if I do CFA on my model and after many modifications, I am able to get Model fit, but when I run SEM or mediation , my model fit indices go down, what am i supposed to do then? Am i supposed to show covariances between the error term in the SEM /Mediation model? Please help
Your explanation was very clear and demonstrated your dedication. Thanks to your help, I was able to understand and complete the analysis on my own. Thank you so much!
From long years of experience, while Likert scale data is considered ordinal, whether it is recorded as scale or ordinal in SPSS, you'll achieve your standard results after analysis. So, that's not an issue.
Thank you so much Dr. Okolie My questions 1. Are you saying that if a teacher or students sacrifice a sizable portion of their to fill a questionnaire, that there will be no need motivating them in return?? What about research assistants? 2. What's your opinion on the coding of negatively and positively worded item statements in SPSS?? Thank you
Thank you. Incentives are good but do not openly promise your participants. This may motivate even less qualified participation to engage in the study. You can give incentives in form of gift draw but not to openly announce that "once you complete my questionnaire, you'll receive ZYX as a prize". Secondly, you can pay your research assistants since they're not part of your study participants. The whose essence is to avoid response bias.
Incentives can be given if you are conducting a longitudinal or ethnographical study using the same set of participants. But, do not openly announce it before data collection to avoid response bias. Thank you
Thank you for the detailed explanation. Please, what inferential analysis method would you suggest to test a hypothesis that seeks to measure the influence of an independent variable on a dependent variable among the same group of respondents. For example, assume that 50 respondents are asked about their opinions on both the independent variable and the dependent variable, and you want to determine how their answers of the independent variable influence that of the dependent variable. Independent T-test or Paired-t-test?
Since you have 1 independent variable and 1 dependent variable and wish to establish how the independent variable influences the dependent variable, you will simply conduct a Simple Linear Regression. Convert the Likert scale data to continuous variables before performing Linear Regression. This video will help you ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-p4TEVkL_BMc.html
16:24 A shopping mall conducts a survey to assess the customer's satisfaction which also include a statement "would you like having separate shopping section for personal hygine related products for women." 90% respondents check option 5 "strongly agree". If the mall administration decides to provide separate section for women hygine products which turn outs to increase sales in this area isn't a decision/conclusion based on descriptive statistics? Sir your comment please.
If you just want to describe people's opinions only, descriptive statistics can be used. But if you want to establish that customers' satisfaction with the shopping mall's HR team response to complaints would increase product sales, then, you cannot use descriptive statistics to achieve this. You need to conduct inferential statistics to achieve this. Remember that as 90% of your respondents strongly agreed, the remaining 5% either disagreed, strongly disagreed or neutral. If you make decision based on the 90% (i.e., majority carries the vote), how will you interpret the remaining 5%? This is the issue with descriptive statistics. With inferential statistics, such questions do not arise given that you'll convert all responses to continuous variable and then, test your postulations.
This video has really helped me so much during my research paper. i watched most of your videos on SPSS and i couldn't have done it without these videos. thank you
Well done! Thank you, Dr. Please give a reference for calculating the decision, weighted average, and disagreeing decision. I searched for other sources but could not find the appropriate one.
Thank u sir Pls am facing problems when comparing my independent variables and the dependent variable when each independent variable has at least 5 questions and same for the dependent variable 🙏🙏
