Basics of qualitative research: Grounded theory procedures and techniques

Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

Remembering. A Study in Experimental and Social Psychology, Cambridge (University Press) 1964.

Attachment--and loss.

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online.

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Sentiment Analysis and Opinion Mining

We are in the midst of a technological revolution whereby, for the first time, researchers can link daily word use to a broad array of real-world behaviors. This article reviews several computerized text analysis methods and describes how Linguistic Inquiry and Word Count (LIWC) was created and validated. LIWC is a transparent text analysis program that counts words in psychologically meaningful categories. Empirical results using LIWC demonstrate its ability to detect meaning in a wide variety of experimental settings, including to show attentional focus, emotionality, social relationships, thinking styles, and individual differences.

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The psychological meaning of words: LIWC and computerized text analysis methods

We examined the effects of cognitive load on the strategy selection in the forced choice test (FCT) when used to detect hidden crime knowledge. Examinees (N = 120) with and without concealed knowledge from a mock crime were subjected to an FCT either under standard circumstances or cognitive load. Cognitive load was implemented through time pressure. The FCT distinguished examinees with concealed knowledge from those without better than chance in both conditions, but the counterstrategies did not differ between conditions. Further investigation revealed that time pressure did affect examinees' ability to follow their intended counterstrategy to produce randomized test patterns, which constitutes an effective counterstrategy in the FCT. Hence, time pressure lowered the success rate of effective counterstrategies, but not their incident rates. Further disambiguation of various cognitive load manipulations and their effects on strategy selection and execution is needed.

Effects of Time Pressure on Strategy Selection and Strategy Execution in Forced Choice Tests

When passively attending to suspects, observers are poor at distinguishing lies from truths. Deception research has therefore shifted to examining interview styles aimed at eliciting and enhancing deception cues. Based upon a literature review and three empirical studies, ten Brinke, L., Khambatta, P., and Carney, D. R. [2015. Physically scarce (vs. enriched) environments decrease the ability to successfully tell lies. Journal of Experimental Psychology: General, 144, 982–992. doi:10.1037/xge0000103] recommend increasing pressure on interviewees as it would increase lie detection accuracy. In this comment, we argue that these authors (1) misinterpret the literature when concluding that lie detection benefits from increasing pressure on interviewees, and (2) their data do not show that lie detection is more accurate when pressure is increased. In absence of such data, we recommend that increasing pressure on interviewees should be avoided: it hampers the elicitation of valuable information and can lead to false confessions.

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Increasing pressure does not benefit lie detection:a reply to Ten Brinke et al. (2015)

True lies: police officers’ ability to detect suspects’ lies

. In a repeated-measures experimental study, we examined how evidence type influences police investigators’ beliefs about (a) suspect’s culpability and (b) reliability of incriminating evid...

/pdf/the-impact-of-evidence-type-on-police-investigators-f5deycwixd.pdf

Aldert Vrij

Papers

Effects of Time Pressure on Strategy Selection and Strategy Execution in Forced Choice Tests

Increasing pressure does not benefit lie detection:a reply to Ten Brinke et al. (2015)

True lies: police officers’ ability to detect suspects’ lies

The impact of evidence type on police investigators’ perceptions of suspect culpability and evidence reliability

Automated verbal credibility assessment of intentions : The model statement technique and predictive modeling (vol 32, pg 354, 2018)